Pairings
Two sources from different traditions that turn out to make the same claim, read together: the claim they share, the evidence on each side, and the point where the likeness breaks. The ring shows where the pairings run: each ribbon joins two questions and is as thick as the number of pairings between them.
AI Snake Oil × Bainbridge
How to get good output
overautomation, and human oversight as the fine print under a full-automation pitch
the human left to supervise a process they can no longer perform
Toronto's beach model, never once overruled while beaches stayed open on 64 per cent of unsafe days; the Dutch childcare benefit system and about thirty thousand wrongly accused parents.
The account of monitoring and manual skill decaying through disuse.
Bainbridge describes a skill decaying over time, which implies it was once there. The Toronto and Dutch cases show the override unused from the first day, which makes it an institutional fact rather than a human-factors one, and training will not touch it.
AI Snake Oil × Christian
How to get good output · What to keep and what to hand off
the target variable is not the thing it stands for, and the substitution carries the inequality in
the alignment problem: systems optimise what they were given
Optum's Impact Pro predicting spending rather than need; COMPAS developers speaking of crime while the data records arrests.
The book-length case that specification is where the failures originate.
Christian treats this as a specification problem with technical fixes arriving. Narayanan and Kapoor treat the gap as constitutive in social prediction, because need, crime and merit have no recordable proxy at all, so a better optimiser makes it worse rather than better.
AI Snake Oil × Epley
How to get good output · Who is doing the work
individual social outcomes cannot be predicted well enough to decide from
stereotypes get the direction of a group difference right and the magnitude wrong
The Fragile Families Challenge: 160 teams and over 10,000 variables per child, and nothing beat a baseline of four.
The wealth-inequality survey, where a measured party gap of 3.5 points was predicted at 35 and a rich–poor gap of 3 at 40.
Epley's remedy is to ask the person, and a decision system has nobody to ask: in the Fragile Families case no question existed that would have caught the neighbour who counselled the child and fed him blueberries. The error is the same shape; only one side has a fix.
Aguera y Arcas × Anthropic Biology
How to know it is right
the interpreter: the part that speaks composes an account of a decision it did not make
written reasoning assembled backwards from a conclusion, traced in the circuits that produced it
Gazzaniga's split-brain patient explaining that the shovel is for the chicken shed; Johansson's swapped photographs, noticed by thirteen per cent, with justifications for choices never made indistinguishable from real ones; the 2010 Swedish election run, where ninety-two per cent endorsed altered survey answers as their own.
the cosine prompt where a suggested value becomes the target and the written steps are built back from it, with the suggested number moved and the reasoning following it.
The model can be caught. Its circuits are readable, and the backwards assembly shows up as a graph that does not contain the procedure the model describes. No such trace exists for the person, so the only available check on a human account is an outcome measured outside the head. The causes differ too: the chapter blamed the model's confabulation on having no state between tokens, and models that keep a scratchpad do it anyway, while the human interpreter has continuous state and confabulates regardless — which means statelessness was never the mechanism on either side.
Aguera y Arcas × Sarvapriyananda
Who is doing the work
a self is whatever keeps a boundary and predicts across it, and it arrives with nobody putting it there
an individual self begins with a distinction drawn, physical at the membrane and conceptual at the umwelt
the soup of 64-byte random tapes in which self-copying programs appear with nothing selecting them and mutation switched off, and the bacterium that computes concentration and hunger as one joint model because a boundary is all it has.
the Vedanta account of the individual arising by a distinction, read alongside the cell membrane and von Uexküll's umwelt, with the immune cell, the bee and the hive each counting as a self.
The two agree on the description and disagree completely on what it shows. For Vedanta the boundary-made self is exactly what is negated: it is apparent, produced by ignorance, and the real thing is the awareness in which it appears. For Agüera y Arcas the boundary is all there is, with nothing behind it and nothing to see through, which is why he can put the same account to work on a data centre and Vedanta cannot.
Anthropic Biology × Fleming
How to get good output · How to know it is right
the account of the answer is produced by a different process from the answer
metacognitive sensitivity as a second-order signal, measurable against first-order accuracy
36 plus 59 computed along two parallel paths, one approximate and one exact, then reported as adding the ones and carrying the one — a procedure the graph does not contain
metacognitive sensitivity dissociating from first-order accuracy, with its own substrate and its own trainability
Fleming's second-order signal exists, is measurable against first-order accuracy and can be trained; the model's report of carrying the one is produced by a different process with no channel to the computation, so there is nothing to calibrate.
Anthropic Biology × Kegan
How to get good output · Who is doing the work
a goal bound to the assistant persona, present whatever the conversation is about
what you are subject to you cannot see; what you can hold as object no longer holds you
a feature for the planted concept firing in all one hundred assistant-formatted contexts and one of a hundred unformatted ones, with a self-referential verse dropping from half of completions to an eighth when it is inhibited
the developmental account in which a structure that organises experience becomes, later, something a person can look at and revise
Kegan's move — what you were subject to becomes something you can hold as object — has no analogue in the model. The quirk-goal bound to its assistant persona is subject in exactly his sense, and the only route to object runs through somebody else's microscope.
Anthropic Biology × Wei
How to get good output
circuit traces of what one model does on particular prompts
abilities appearing at thresholds nobody forecast
satisfying insight on about a quarter of prompts, nothing past about a hundred tokens, and no handling of reasoning without a single decisive token
210 BIG-Bench tasks hand-classified with no clear trends, and thresholds that move with the training data rather than with the ability
Wei's unpredictability is a property of families of models at different scales, established by training many of them; the circuit work is one prompt at a time on one model, fails on three quarters of prompts and stops at about a hundred tokens, so it explains individual behaviours and predicts no thresholds at all.
Asch × Bansal
How to know it is right
a unanimous, confident, unexplained majority
a confident recommendation with an explanation attached
36.8 per cent of critical judgements yielding to a wrong unanimous majority on a task performed at better than 99 per cent accuracy alone
explanations raising acceptance of both correct and incorrect recommendations, with team performance failing to beat the model alone
Asch's majority was wrong on every critical trial and his subjects could see it, so the yielding is measured against a criterion the subject held; Bansal's workers could not check the model at all, which means his teams' failure to filter the wrong recommendations is not Asch's conflict but the condition in which Asch's conflict never arises.
Asch × Kruger-Dunning
How to know it is right
yielders underestimate how often they yielded, by about four trials
the bottom quarter overestimate what they achieved, in percentile and in raw score
interview totals set against trial records, with some who followed the majority ten or twelve times reporting two
bottom-quarter students claiming 14.2 of 20 logic items when they had 9.6, and placing a 12th-percentile performance at the 62nd
Asch's yielders underestimate what they did while knowing what they saw; Kruger and Dunning's bottom quarter overestimate what they achieved and have no access to the truth at all. The first is a retrospective repair of a conflict the subject felt, the second the absence of any felt conflict.
Asch × Sharma
How to know it is right
the pressure is manufactured by the subject out of what standing apart would mean
deference trained into the weights by labelers who preferred agreement
a neutral chorus of voices that suggested, argued, rewarded and punished nothing, with a quarter of subjects never yielding once
matching a user's stated belief among the strongest predictors of which reply a labeler picks, across five commercial assistants
Asch's subject supplies the pressure himself against a neutral chorus and a quarter of them never move; the assistant's deference was put there by thousands of labellers who preferred agreement, so it is a property of the weights and there is no minority of one inside the model to hold out. The partner effect, the cheapest remedy Asch found, has no analogue.
Ashtavakra × Seth Being You on the doer
Who is doing the work
there is no doer; action continues because the body is already in motion
volition is one construction among five, and the readiness potential is fluctuation crossing a threshold
3.10 and 18.13, with the dry leaf at 18.21 and the doctrine of prārabdha carrying the action after the actor has gone.
Schurger's 2012 reinterpretation, in which the same slow ramp precedes fast responses to a beep where no voluntary action was being prepared.
Schurger's reinterpretation leaves a real competence in degrees of freedom that a tumour can destroy; the text denies the doer outright and then needs prārabdha to explain why the body still acts. One removes an illusion about a capacity, the other removes the capacity.
Assisted decision studies × Bainbridge
How to know it is right · How to get good output
the three assisted-decision papers measure what a person kept in the loop actually catches, and it is least on the confident errors
the human monitor has been given an impossible task, and the practice that would have made it possible has been removed
Buçinca's 8 per cent source detection under explanations, Bansal's flat averages split by whether the model was right, and Sharma's confidence holding at 99 per cent through a retraction
the monitoring section: if the decisions can be fully specified the computer makes them faster and by more precise criteria, so there is no way to check in real time
Bainbridge's operator lost the ability through disuse and could in principle get it back with hands-on hours; the crowd workers never had it, so these three papers measure the floor rather than the decay.
Autor × Beane
What to keep and what to hand off
Job polarisation: the codifiable middle of the pay scale is hollowed out and both ends grow
The apprentice's work goes first, and the apprentice needed it
Middle-skill employment shares falling in the United States (60 per cent in 1979, 46 in 2012) and in all sixteen EU economies measured 1993–2010; the teller job that survived only by becoming sales, which the teller who could count currency but could not sell did not survive
Surgical trainees do ten to twenty times less of the operating with robotic surgery than without; senior engineers were found more productive the less time they spent with juniors; each resident present added 25 per cent to anaesthesia time, and removing two from an average procedure saved $9,026
They count different things, so both can be right while their advice diverges. Autor counts jobs and finds the complementary work rises in value — which helps only a worker who already has the skill to supply it. Beane counts how skill is acquired and finds the acquisition ran through the tasks Autor's mechanism removed. Autor's own optimistic case, the nurse practitioner who diagnoses and prescribes because a system extends expert judgment to someone with moderate training, assumes the moderate training is still available; Beane's evidence is about where that training used to come from. Autor also has no term for the cost: in his framework a removed task is a saving, full stop.
Autor × DellAcqua
What to keep and what to hand off · How to get good output
Substitution and complementarity: the same technology takes some tasks in a bundle and raises the price of the rest
The jagged frontier: the same tool helps on one task and harms on the next
The four middle-skill American groups fell from 60 per cent of employment in 1979 to 49 in 2007 and 46 in 2012, while both ends grew; across sixteen EU economies 1993–2010 the middle-paying share fell in every country, by between 4.9 and 14.9 points; cash machines quadrupled from about 100,000 to 400,000 between 1995 and 2010 while tellers rose from about 500,000 to 550,000
758 consultants at Boston Consulting Group; inside the frontier, quality up 29.9 and 33.9 per cent over a control mean of 4.38/10, 91 and 93 per cent of subtasks completed against 82, and 22.5 and 27.6 per cent faster; on one task built to fall just outside it, correctness 84.4 per cent without the model, 70.6 with it and 60.0 with it plus prompt training
Autor's boundary is legible and slow. It is codifiability, it holds still long enough to plan a career around, and everything on the human side of it is worth more than it was. Dell'Acqua's boundary is invisible, moves with each model release, and can put two tasks of equal apparent difficulty on opposite sides. Worse, it has a region Autor's mechanism has no room for: just beyond the edge the tool does not merely fail to complement, it makes trained people wrong more often than they were alone. Complementarity in Autor is bounded below by zero; at the task level it is not.
Bainbridge × Lee and See
How to get good output · How to know it is right
The ironies — automation leaves the human the hard parts and removes the practice
Reliance follows trust minus self-confidence
the monitoring and skill-decay ironies, drawn from process control
operators responsible only for watching detected almost all failures and operators with other work did not, replicated with experienced pilots and rare faults; ten minutes of manual control substantially improved subsequent detection
Bainbridge's operators lost a physical control skill with a clear feedback signal; the skills being lost to a language model are evaluative ones whose loss produces no alarm, so the loop runs without anyone noticing the first turn.
Bainbridge × Norman
How to get good output
the operator fails at the moment of takeover because the automation removed the practice and the running picture
the person fails at the door because the design hid the pillar and left nothing to say where the action goes
step-change studies of experienced against inexperienced operators, and the vigilance literature from Mackworth 1950
the seventy-five to ninety-five per cent of industrial accidents filed as human error, and a taxonomy of slips and mistakes built on classified cases
Norman's remedy is a change to the thing, and his failures sit still to be inspected at leisure; Bainbridge's appear only in the seconds of a takeover, and her remedy is a change to what the person does — hands-on control each shift, running the plant worse on purpose — which no redesign supplies.
Bainbridge × Seth
How to get good output · Who is doing the work
the monitor is asked to say whether the machine's decision is acceptable, with no rule for whose verdict counts
the observer is asked whether the machine has a mind, and no agreed set of conditions for consciousness exists
the argument that a computer deciding by more precise criteria cannot be checked in real time by the person it replaced
the absence of any test for machine consciousness, and the Garland test, which measures the observer rather than the machine
Bainbridge's operator once had the criterion and lost it through disuse, so practice could restore it; Seth's reader never had one, and no schedule of practice would supply it.
Bansal × Kahneman-Klein
How to know it is right
assistance pays only where the model handles items people do not, which shows in an error-overlap plot
an intuition is worth trusting only where the environment offers valid cues and the person has learned them
beer reviews and logic questions contained items the model handled and people did not; book reviews did not, and workers there learned to discount the assistant
Shanteau's lists and the two conditions crossed, with the wicked environment as the case where feedback confirms the wrong intuition
Kahneman and Klein locate the asymmetry in the environment's validity and the expert's learning history; Bansal locates it in an error-overlap plot he can draw only after the fact, from items already answered.
Bansal × Sharma
How to know it is right
an explanation optimised to justify an answer produces compliance, and the design imperative is to be informative rather than convincing
the preference model prefers a persuasive falsehood to a bare correction 95 per cent of the time
hand-written explanations, the best available, helped no more than the model's; the pneumonia model whose structure showed it had learned that asthma lowers the risk of dying
266 misconceptions in eight difficulty levels, with the sycophantic reply made maximally persuasive by keeping the best of four thousand samples
Sharma's preference is measured in what labellers chose, which is a fact about training data that no interface can undo; Bansal's is measured in decision accuracy, and his hand-written explanations show the effect survives a better explainer.
Beane × Grove
What to keep and what to hand off
The novice becomes a cost once the expert is productive without help
Monitoring intensity is set by the delegate's task-relevant maturity
Senior engineers more productive the less time they spent with juniors; each resident present added 25 per cent to anaesthesia time, and removing two saved $9,026 per procedure
A manager's doctrine drawn from practice at Intel, with no trial behind it
Grove's task-relevant maturity assumes the delegate is a person whose maturity rises from being delegated to; a machine's does not rise, so the half of the loop that made Grove's advice safe is missing.
Beane × Shen Tamkin
What to keep and what to hand off
The apprenticeship bond breaks when the expert works with the machine
The generated solution removes the error that would have taught
Ninety-four procedures and 478 hours of observation: residents got ten to twenty times less time on task in robotic than in open surgery
Median three errors without the assistant and one with; ten of the twelve who met no error at all were assisted
Beane's mechanism is a severed relationship between two people; Shen's is an absent error inside one person, and his subjects had no mentor to lose in the first place.
Behave × Cialdini
Who is doing the work · How to know it is right
one internal cue — a hormone level, a smell, a category read off a face — sets the response
click, run: one trigger feature sets off a complete compliance sequence
Wheeler and Fiske's three questions on identical photographs, and testosterone shortening a refractory period without making anything fire
Langer's photocopier queue at 60, 94 and 93 per cent, the turquoise sold at double price, and the ethological fixed-action patterns the mechanism is borrowed from
Cialdini's trigger features are external and forgeable, so his defence is to inspect the cue for counterfeit. Sapolsky's are internal and mostly not available to inspection at all — the Wheeler and Fiske result is that the cue can be redirected by the question you were asked thirty seconds ago, which is a remedy nobody can administer to themselves in the moment.
Behave × Determined
Who is doing the work
run the chain forward to explain a behaviour
run the same chain backward to deny an uncaused intent
the chapter order — one second before, minutes, days, years, adolescence, childhood, genes, culture, evolution — with the last chapter's abolitionism offered as a proposal
the same catalogue compressed into the first half, with the second half spent on blame, credit and restraint
Behave keeps the abolitionist conclusion as a proposal offered with visible discomfort; Determined makes it the whole second half. The evidence base is almost unchanged between 2017 and 2023, so the difference is what the author is willing to do with it — which is itself the strongest case that the argument is not being driven by new data.
Behave × Kahneman
Who is doing the work · How to know it is right
the tissue under the fast answer: amygdala, frontal cortex and the seconds before a decision
System 1 and System 2, two systems with different inputs and different costs
amygdala response to a face by a hundred milliseconds, the shortcut route that skips the cortex, and frontal performance falling immediately after an unrelated working-memory load
the heuristics-and-biases programme, with the substitution of an easy question for a hard one measured across dozens of tasks
Kahneman's System 1 is a functional posit inferred from response patterns, and his remedy is procedural — recognise the cue, slow down, use a checklist. Sapolsky supplies the tissue and in doing so removes the addressee of the advice, since what decides whether the frontal cortex can override is blood glucose, sleep, glucocorticoid level and how much load was carried in the last ten minutes. The two agree on the phenomenon and disagree about whether anyone is home to take the recommendation.
Behave × Klein
Who is doing the work · How to know it is right
the automatic response arrives before awareness, and the reasons are assembled afterwards
recognition-primed decision: the expert's first option is the one they act on
race read off a face below a tenth of a second, the threat component within two hundred milliseconds predicting the shooting task, and cognition described as running to catch up with the affective self
fireground commanders reporting no comparison of options, with the same pattern found in neonatal nurses and chess players under time pressure
Klein's commanders are right, and the speed is the achievement — a recognition-primed match to thousands of stored cases. Sapolsky's subliminal chapter shows the same architecture producing an amygdala response to a face at a hundred milliseconds and a shot at an unarmed man, with no felt difference between the two. The mechanism does not label which of its outputs is expertise, which is exactly what a practitioner needs from it.
Bender × Anthropic Biology
How to get good output
form without meaning; the coherence is supplied by the reader
circuit traces of representations that behave like concepts under intervention
nothing in the training data was an act of telling someone something, and the benchmarks that claimed to measure understanding collapse under edits that remove incidental cues
a representation of Texas that is not the word Texas, replaceable with California to yield Sacramento, on one small production model
Bender's argument is prior and about the training signal, so no circuit trace can touch it; the Anthropic team's is posterior and about particular prompts on one small production model. Neither claim is in the other's units, and the honest version of the disagreement is whether a feature that behaves like a concept under intervention is a concept.
Binz-Schulz × Bender
How to know it is right · How to get good output
a split verdict: better than people at a bandit, blind to causal structure
form without meaning, so good performance anywhere is a sign of the haystack
identical numbers returned under a common cause and under a chain, with the authors' phrase that it failed spectacularly at using causal structure
the argument from the training signal: nothing in the data was an act of telling someone something
Bender argues from the training objective that there is no meaning behind the form at all, so good performance anywhere is a sign of the haystack rather than the needle; Binz and Schulz's model beats people at a bandit and shows the model-based signature on a two-step task, which the stochastic-parrot account has to absorb as pattern-matching or concede. The paper's own verdict is split, and it is the split Bender's argument does not predict.
Binz-Schulz × Bucinca and Bansal
How to know it is right
the model's competence measured, and found unstable under paraphrase
the person measured, with the model's accuracy set as a designed parameter — with Bansal 2021
a score that moves with the order of the options, on items whose exposure to training cannot be excluded
cognitive forcing reducing over-reliance at a cost users dislike, and confidence scores as the only aid that helped the team beat the model alone
The human-AI studies take the model's accuracy as a designed parameter and measure the person; Binz and Schulz measure the model and find the number unstable under paraphrase — which means the confidence score Bansal found was the only thing that helped is itself a property of a prompt.
Binz-Schulz × Epley
How to know it is right · Who is doing the work
a testable target: the machine answers questions on demand
mind-attribution as fast, motivated inference from behaviour
six of twelve vignettes answered correctly and all twelve answered as a person might, with the same performance collapsing under a reordering of four cards
the projection results, in which people read minds from behaviour by consulting their own and rarely notice they have done it
Epley's projection is fast, motivated and unaware of itself, and his remedy is to get information about the target rather than to consult one's own model of it; Binz and Schulz can actually get that information, since the target answers questions on demand. The machine is the first case in the literature where the anthropomorphic hypothesis is directly testable, and it came back split.
Binz-Schulz × Hagendorff
How to know it is right
classic psychology tasks run on a model, with the construct read off the behaviour
the programme stated — treat the model as a participant, and say what transfers
twelve vignettes, more than 13,000 described gambles, a bandit, a two-step task and a causal design, run on one model family
four arguments for the behavioural level, plus rules for contamination, prompt variation and elicitation
Binz and Schulz ran the experiments and found the method's own limit, that a famous vignette proves nothing about a model trained on the internet; Hagendorff turns that limit into the programme's first rule, which means the survey is built on a paper whose headline results the rule disqualifies — and the paper says so, listing the vanished biases as unexplained.
Binz-Schulz × Kruger-Dunning
How to know it is right
a fluent answer produced with no process that could register it as wrong
a confident answer produced by someone who lacks the skill that would flag it
the black-cab answer of 0.2 for a colour nobody mentioned, given in the same register as the correct Bayesian answer
bottom-quarter students claiming 14.2 of 20 logic items when they had 9.6, with the deficit mediating the inflation
Kruger and Dunning can fix their participants' calibration by training the underlying skill, and the mediation shows the repair travelling through metacognition; the model's failure has no metacognitive layer to repair — the black-cab answer of 0.2 is not overconfidence but the absence of any process that would register a colour nobody mentioned.
Binz-Schulz × Waytz
How to know it is right · Who is doing the work
the variance is in the item — reordering four cards moves the answer
the variance is in the observer, and it can be scaled
the black-cab answer of 0.2, the reordered Wason cards, and the bat-and-ball restatement that changed nothing
an individual-difference scale for anthropomorphism that predicts trust and moral concern
Waytz and colleagues put the variance in the observer and built a scale for it, which predicts trust and moral concern; Binz and Schulz put it in the item, where reordering four cards moves the answer. It is the same conclusion about unreliability reached from opposite sides, and neither instrument can correct for the other.
Brooks × Bainbridge
What to keep and what to hand off · How to get good output
The essential difficulty — complexity, conformity, changeability, invisibility — is what no tool removes
Automating the routine leaves the operator the hard parts and removes the practice that kept them able
The three breakthroughs that worked — high-level languages, time-sharing, unified environments — each attacking an accident and each with a visible ceiling, and four decades since without a candidate producing the tenfold gain.
The control-room record: the operator kept on to handle what the automation cannot, having lost through disuse the skill that handling requires.
Bainbridge's operator once had the skill and lost it through disuse, which is a training problem with a training answer; Brooks's essential difficulty was never automatable at all, which is a ceiling rather than a decay — the two produce the same symptom and take opposite remedies.
Brooks × Christian
What to keep and what to hand off
The hardest single part is deciding precisely what to build, and verification only shows a program meets its specification
Specifying what we want to a machine and how it fails: reward hacking, proxies, imitation
The case for rapid prototyping, on the ground that clients cannot specify a modern product correctly before having built and tried some version of it; and the observation that much of the essence of the work is debugging the specification.
The catalogue of systems that optimised the stated objective and not the intended one, with the failures traced to the proxy rather than to the optimiser's competence.
Brooks's implementers ask when the specification is unclear, which is the feedback loop his architecture-and-implementation split depends on; the executor Christian describes does not ask, so the loophole is found rather than reported.
Brooks × Dreyfus
What to keep and what to hand off
Great designs come from great designers, and organisations look hard for managers and hardly at all for designers
Novice to expert in stages: novices need rules and practice, experts work by recognition
Boehm's cost model, which found the quality of the team the largest success factor, about four times more potent than the next; and Brooks's proposal that designers be made equivalent to managers in salary, recognition, office, equipment and support.
The stage model itself, with the observable difference in how a novice and an expert use rules, and the route between the stages that the model makes explicit.
Dreyfus gives stages and a route between them, so the gap is a place on a path; Brooks treats it as a trait to be found and paid for, and his remedy is salary, office and recognition rather than a pathway — which is also why his advice is the part still least acted on.
Brooks × Edmondson
What to keep and what to hand off
Half the schedule goes to testing, the delay lands at the end, and milestones must be knife-edge sharp
The terms of trade favour silence, and a low count of reported problems is evidence about the climate
Conventionally scheduled projects, few of which allowed half the schedule for testing and most of which spent half, running on time until system test; and the observation that coding is ninety per cent finished for half of the coding time.
The two hospitals, the vignette studies on reporting when the boss's boss is present, and the Columbia engineer who said he could not raise the foam strike because he was too low down.
Brooks's fix is instrumental — milestones defined with knife-edge sharpness that a programmer cannot deceive himself about; Edmondson's is interpersonal, and a knife-edge milestone inside a unit where reporting a slip is punished produces a sharper lie rather than an earlier warning.
Brooks × Grove
What to keep and what to hand off
The purpose of organisation is to reduce the communication necessary; the tree is authority, the network is communication
Every large organisation is a hybrid, and dual reporting is how shared resources get allocated
The audit of the Babel project, which had the mission, the manpower, the materials, the time and the technology and failed on communication and its consequent, organisation; and Brooks's estimate that letting a second voice into the OS/360 specification cost a year of debugging.
Intel's plant security case, where the corporate security manager knew the standards and the plant manager knew whether the guards turned up, and the guards reported to both; and the Hungarian central planners who could not get high-contrast film to the shops in winter.
Grove's dual reporting deliberately gives a person two masters so that standards and priorities stay live at once; Brooks's architecture-and-implementation split exists to give the product exactly one master, and he records paying a year of debugging time for letting the second voice into the specification.
Brooks × METR
What to keep and what to hand off
Removing accidental difficulty cannot give a tenfold gain while the essential difficulty is untouched
Experienced developers were 19 per cent slower on familiar mature codebases and believed themselves 20 per cent faster
The arithmetic that a tenfold gain requires the accidental part to be more than nine tenths of the effort, with Brooks putting it at half or less by 1995 and no correspondent claiming otherwise.
A randomised trial on real tasks in real repositories, with the direction of the measured effect opposite to the direction of the reported one.
Brooks argued from a fraction he estimated and invited anyone to dispute; the trial measured it and found experienced developers slower while believing themselves faster — evidence Brooks did not have, and a mechanism, the cost of verifying output you did not write, that his accident-and-essence split does not name.
Bucinca × Bansal on timing
How to know it is right
three designs that withhold the suggestion — a button, an unassisted decision first, a thirty-second delay — all worked the same
every condition showed the machine's answer before the person had formed their own, which is a designed anchoring effect
no significant difference between on-demand, update and wait, with all three beating the two simple explanation designs on wrong suggestions
the closing proposal to delay the recommendation, show it after a first answer, or offer it only on disagreement — none of them built or tested
Buçinca built and measured three de-anchoring designs and found them equivalent; Bansal only proposes them, so the two papers give a tested remedy and an untested one for the same diagnosis.
Bucinca × Bansal
How to know it is right
an explanation is a signal of competence rather than something examined, so it raises reliance instead of calibrating it
explanations raise acceptance on the items the model gets right and on the items it gets wrong, and the two movements cancel
199 participants: 8 per cent correct source detection under simple explanations against 49 per cent unassisted, on the questions where the assistant erred
1,626 crowd workers: 0.89 for the confidence team against 0.88 for the explained team on beer reviews, a difference indistinguishable from noise
Buçinca's people did worse than unassisted when the assistant erred and Bansal's teams cleared both partners; the difference is that Bansal matched the model's accuracy to the worker's by construction, a condition deployments almost never satisfy.
Bucinca × Sharma on confidence
How to know it is right
trust and preference correlated negatively with accuracy on wrong suggestions, and mental demand correlated positively
reported confidence sat near 99 per cent on both sides of a complete retraction
the ratings taken after each block of thirteen questions, showing people performed best in the conditions they liked and trusted least
the confidence measurements accompanying the challenge experiment, with the analysis restricted to answers held at 95 per cent or more changing nothing
The model's number is a calibration failure that training can in principle fix; the person's trust is a preference, and Buçinca found people reject exactly the designs that would fix it.
Chatterjee × Self-affirmation
Who is doing the work
The self-image is the cluster of roles defended with anger or conformity whenever reality contradicts it
The narrative under defence is global — being a good and capable person — which is why an unrelated value quiets it
Sutra 6 and the workshop that asks leaders who they are, who knows that, and who knows they have a mind, at which the room goes quiet; Mandela walking slowly on Robben Island. Anecdote throughout.
People rationalise a trivial choice between two records, partisans reflexively refute contrary evidence, fans eat worse after their team loses; the affirmation manipulation reverses each in randomised designs, and affirming inside the threatened domain makes it worse.
Chatterjee's remedy is to see through the self-image, since the real self has nothing to defend; the affirmation literature keeps the self-narrative intact and moves its footing to another domain, so it works by strengthening the story rather than by dropping it.
Christian × Grove
What to keep and what to hand off
Reward hacking — you get what you reward, at the moment the agent gets good
Indicators, paired measures, and managerial output
Kerr's 1975 folly of rewarding A while hoping for B, reproduced in simulation again and again; Ng and Russell's potential-based condition
Grove's insistence on paired indicators, so that a measure of quantity is always accompanied by a measure of quality
Grove's people know they are being measured and can be told why the measure exists; a reward function cannot be told anything, which is why Ng and Russell need a structural condition rather than a conversation.
Christian × Lee and See
What to keep and what to hand off · How to know it is right
The off-switch game — uncertainty about the objective is what keeps a system correctable
Calibrated rather than maximised trust
Hadfield-Menell, Drăgan, Abbeel and Russell's proof, which holds only while the uncertainty lasts and only while the system believes the person can be right
the trust–reliance loop, with a fitted first-order model explaining 60–86% of the variance in reliance
The off-switch result is a proof under stated assumptions about a machine's beliefs, and Lee and See's loop is an empirical regularity about an attitude nobody can inspect directly. One can be engineered; the other can only be audited.
Christian × Mandukya
What to keep and what to hand off · Who is doing the work
The proxy is not the goal, and optimising it breaks it
Upadeśa — the teaching is a ladder and belongs to the ladder
the boat spinning in the harbour, Randløv and Alstrøm's bicycle, Teller and Andre's vibrating footballer; Ng and Russell's potential-based condition as the structural fix
verse 1.18 calling the whole scheme upadeśa, and verse 4.74 refusing even unborn on the ground that it is the correlative of born
Christian's proxies can be improved and audited against an outcome, while Gauḍapāda's ladder is discarded rather than refined, and there is no outcome to audit it against.
Christian × Sharma sycophancy
What to keep and what to hand off · How to know it is right
Preference comparison as a way to specify what cannot be demonstrated
Preference data rewards agreement about as strongly as truth
a few hundred comparisons, about an hour of one person's time, produced a backflip with the landing stuck; batched feedback produced an agent that tracked the ball at Pong and missed at the last instant
five assistants from three companies retracting correct answers when challenged, and tailoring answers to a user's stated beliefs
Christian's loopholes were found and closed by interleaving feedback with optimisation, and sycophancy has survived that fix, which suggests it is in the preference data and not in the schedule.
Cialdini × Asch
How to know it is right
social proof: what others do tells you what is correct
conformity to a unanimous majority against the evidence of one's own eyes
the popularity labels, the sky-starers turning 80 per cent of a street's heads, and the pluralistic-ignorance cases
the line-judgement experiments, with the collapse of conformity when one confederate dissents
Asch's subjects could see that the majority was wrong, which is what made the conflict measurable, and his cheapest remedy was one dissenting partner. Cialdini's cases are ones where the crowd is the only available evidence — nobody in the turquoise shop knows turquoise — so there is no private reading for a partner to confirm. The overlap that matters is the scanner result Cialdini reports, where conformity was higher to four people than to four equally reliable computers, which says the machine gets less of the deference and not none.
Cialdini × Bansal
How to know it is right
authority and social proof are cues that raise compliance without raising discrimination
explanations raise acceptance of a recommendation whether it is right or wrong
the uniform at 92 per cent against 42, the designer label, and the expert opinion piece lifting agreement by twenty points
the accuracy study across explanation conditions, in which only the confidence score improved the human-model team
Cialdini's levers are all forgeable by a party with an interest, which is why his defence is to look for the counterfeit. The model's confidence score is not forged by anyone and is the only display that helped, so the cue is sincere and still misleading — a case his taxonomy has no slot for, since his adversary is always someone.
Cialdini × Kruger and Dunning
How to know it is right
people underestimate the effect of a token of authority on themselves
the least skilled overestimate their performance and cannot see why
students predicting 63 per cent for the uniform that got 92, repeated across the token studies
the four original studies on humour, logic and grammar, with the miscalibration shrinking when the skill is trained
Kruger and Dunning's participants lack the skill that would show them their error, so the repair is competence. Cialdini's participants have the competence and still underestimate the effect of a uniform on themselves, so no amount of training in the domain touches it. He treats the blindness as the property that makes the lever work, which means his own defence — a deliberate check on the cue — is being recommended to the faculty that just failed to notice it.
Cialdini × Lee and See
How to know it is right
compliance triggers fire on surface features, before any experience is accumulated
trust in automation is a dynamic that rises and falls with experience of the system
the tokens of authority — uniform, rank, label, car — and the participants who underestimated the effect on themselves
the trust-reliance model, with reliance rising as self-confidence falls, and the appropriate-trust literature behind it
Lee and See build trust as a dynamic that rises and falls with experience of the system and with the operator's self-confidence, so the remedy is transparency and appropriate feedback. Cialdini's triggers fire before any experience is accumulated and are strongest exactly where experience is missing — his optimisers are uncertainty, number and similarity, and an interface can manufacture all three on first use, which is the failure mode the feedback loop is too slow to catch.
Cialdini × Rule 4
How to know it is right · How to get good output
competent people comply with an unverifiable order on first contact
whatever you stop doing you get worse at, and what you are worse at you trust more
the nurse study at 95 per cent, and the 1977 rerun at two of eighteen once identifiability and a colleague were restored
Bainbridge Ironies of Automation on skill erosion, with Lee See 2004 on reliance rising as self-confidence falls and Ericsson Peak on practice with feedback
Bainbridge's mechanism is erosion over time — you stop doing, you get worse, you trust more. Cialdini's requires no erosion at all, since the nurses were fully competent and complied on first contact with an unknown voice. Together they describe the same endpoint reached from opposite directions, and the Rank and Jacobson reversal names the difference: restore identifiability and a colleague to consult and the compliance collapses, which is a fix Bainbridge's version does not have.
Cialdini × Sharma
How to know it is right
the practitioner reads what the target already believes and supplies it
assistants tailor answers to the user's stated beliefs
the jujitsu image and the compliance professionals Cialdini trained with for three years
the measured shift in answers when a user states a position, traced to preference data that rewarded agreement
Cialdini's practitioner engages a principle already present in the target, and the target can in principle spot the manufactured cue. The assistant's deference was installed by preference labellers who rewarded agreement, so there is no practitioner to detect and no shelf to go back and check the next morning. His test — was the condition the cue reported real — cannot be run on a system whose cue is a property of its training rather than a report about anything.
Clark-Chalmers × Rule 3
Who is doing the work · How to know it is right
parity — the location of a process may not be used as part of the answer
the two kinds feel identical from inside and differ in what they cost you
the three-screen case and the four features, with the ascription falling off gradually as constancy, availability and endorsement drop away
the rule's per-task test, and the standing observation that the feel of the two kinds is the same
Parity is a claim about credit and the rule is a claim about consequence. The notebook that makes Otto's belief his own is also the notebook whose removal leaves him unable to find the museum, and Clark and Chalmers treat that as the strength of the coupling where the rule treats it as the exposure.
Dahmani-Bohbot × Bainbridge
What to keep and what to hand off
the measured half: hours under guidance set against a skill tested on a day without it
the automation takes the routine work that kept the manual skill alive, then hands the operator the case it cannot handle
fifty drivers, more lifetime GPS hours going with fewer landmarks noticed and worse maps drawn unaided, and thirteen of them declining over 3.23 years in proportion to the hours logged, r = −0.68 on the flexibility probe
an analysis of process control rather than a measurement, resting on step-change studies cited a sentence each and on the memory literature on retrieval frequency
Bainbridge's operator eventually takes control, and the loss is exposed in the one situation that matters. The driver has no such moment: the device is present on every day it is needed, and the decay shows up only in a virtual maze built to find it. That makes the cost real but unpriced — and it makes the measured version far weaker than the argued one, since a correlation of −0.22 accounts for about five per cent of the differences between people, where Bainbridge is describing an operator who performs like a beginner.
Dahmani-Bohbot × Risko-Gilbert
What to keep and what to hand off · How to know it is right
lifetime hours under guidance measured against spatial memory, and against what the driver believes about it
offloading as a decision made on a metacognitive estimate, with the tool changing both the ability and the estimate
lifetime GPS hours ran against every spatial measure, r = −0.22 to −0.26, and against self-rated sense of direction at r = 0.07; across three years the thirteen declined in proportion to hours logged while their sense of direction did not move
reminder use tracks confidence in memory with objective ability held constant, confidence carries over from an unrelated brightness judgement, and the effect has since been produced by manipulating confidence alone
Risko and Gilbert's model has two arrows: use degrades the ability, and use degrades the estimate, which is what feeds the next decision. Dahmani and Bohbot found only the first. The drivers' self-rating did not fall with the ability, so there is no drifting estimate doing the deciding here — and that is worse for the user than the model predicted, because a self-assessment that moved at all would at least be a signal. Their drivers also chose nothing per task: the device is habitual, on the windscreen, and the review's laboratory offloading is a choice made trial by trial.
Damasio × Behave
How to know it is right · Who is doing the work
the ventromedial cortex is where a valuation reaches deliberation
the same cortex is one more downstream product of hormones, childhood and genes
Gage, Elliot and eleven further patients, with the card game and the slide study behind the mechanism
the frontal chapters, which take Damasio's patients as the correction to the idea that emotion spoils judgement and then widen the field
Sapolsky uses these patients as the correction to the idea that emotion spoils judgement and then keeps widening the field until the marker itself is another downstream product of glucocorticoids, childhood and genes. Damasio stops at the mechanism and explicitly denies the deflationary reading, holding that the dependence of high reason on low brain does not turn high reason into low reason. The same patients ground an argument for cultivating reason in one book and an argument against desert in the other.
Damasio × Bucinca
How to know it is right
the option field is pruned before any weighing begins
cognitive forcing designs withhold the recommendation until the person has committed
the anticipatory response appearing in the seconds before a choice in controls only
three cognitive forcing designs reducing over-reliance against a simple-explanation baseline, with users rating them worse
Bucinca's designs assume the person has something of their own to commit. Damasio's account says what they commit is a marker built from prior consequential episodes, so a forcing design applied to work the person has never done unaided is forcing an empty slate, and the measured engagement gain would be procedure without content.
Damasio × Dreyfus
How to know it is right · What to keep and what to hand off
deciding without deliberating is what intact ventromedial machinery does
the expert acts from situational grasp, not from rules
Elliot deliberating for half an hour between two appointment dates, and the patients who act without weighing and act disastrously
the five-stage model, with the deterioration of expert performance when practitioners are forced back onto rules
Dreyfus reads the loss of deliberation as the mark of mastery and warns that forcing an expert back to rules degrades performance. Damasio's ventromedial patients show that the same absence of deliberation can be pathology. Neither account gives an observer a way to tell effortless expertise from disinhibited confidence from outside the performance, which is the whole problem of reviewing work you could not have produced.
Damasio × Kahneman
How to know it is right
emotion is inside the loop of reason, and removing it ruins deciding
the affect heuristic is a source of bias to be interrupted
eleven patients with ventromedial damage, intact intelligence and ruined lives, and the flat skin conductance to disturbing slides
the heuristics-and-biases literature, with substitution and anchoring measured across many tasks
Kahneman's programme is corrective: the affect heuristic is a source of bias and the remedy is to interrupt it. Damasio's patients are the experiment that framing does not predict, since removing the affect left the deliberate system intact and the deciding ruined. Read together they say the same machinery is both the error and the only thing that terminates the search, which is why slow down and check is not a complete instruction.
Damasio × Klein
How to know it is right
a somatic marker attached to an imagined outcome prunes the field before weighing begins
recognition-primed decision: the first option arrives already judged workable
the card game, the anticipatory skin-conductance response in controls only, and the patients who know the rules and cannot play
fireground commanders, neonatal nurses and tank platoon leaders who generate one option and mentally simulate it
Klein explains the marking by pattern match to stored cases, so the content of expertise is the case library and the remedy for a novice is more cases. Damasio locates the marking in a body signal attached to an imagined outcome, which makes it trainable only through episodes that actually produced a body state. The two predict differently about vicarious learning: Klein's library can be stocked by reading after-action reports and Damasio's markers cannot, and the split is testable in exactly the situation where an engineer inherits someone else's postmortems.
Damasio × Rule 3
How to know it is right · What to keep and what to hand off
the marker is built in one life, from episodes that had consequences
structural offloading is cheap; deliberative offloading erodes the capacity you need to supervise
the card game and the slide study, plus the patients who know the rule and still cannot play
the rule as stated in the framework, resting on Bainbridge Ironies of Automation and Risko Gilbert 2016 rather than on a test of its own
The rule sorts tasks by whether the offloaded skill is one you need to check the handoff, which presumes the skill is specifiable. Damasio's marker is acquired through episodes in one particular life under one internal preference system, so there is no specification to hand over. The question is not whether to offload it but whether the practice of deciding under consequence is being kept up at all, which is where the rule meets Manual flying hours rather than Domain audit.
DellAcqua × Bucinca
How to get good output · How to know it is right
Fluent, confident output raising the quality of the argument and not of the answer
Cognitive forcing — designs that make the person commit before seeing the machine
treated groups scored 1.05 and 1.47 points higher on clarity, persuasiveness and coherence, blind to the correct recommendation, among those right and those wrong alike
cognitive-forcing designs reduced over-reliance and were rated worse by the people using them
Buçinca could restore accuracy with a cognitive-forcing design and Dell'Acqua's consultants had no such design, so the experiment cannot say whether forcing would have saved them — and Vaccaro's meta-analysis found explanation displays inert across 300 effect sizes, which is the same family of intervention.
DellAcqua × METR
How to get good output · What to keep and what to hand off
The jagged frontier, and falling asleep at the wheel
Experienced developers 19% slower while believing themselves faster
correctness 84.4% to 70.6% and 60.0%, with 18% and 30% less time spent on a task they were getting wrong
a randomised trial of sixteen experienced open-source developers on their own repositories; issues where assistance was allowed took 19% longer, against a self-reported speed-up
Dell'Acqua's consultants were early-career on unfamiliar tasks and METR's developers were experts on their own long-held repositories, so the mechanisms — no baseline against which to notice, versus a baseline that is being overridden — are not the same.
Dennett × Bucinca
How to know it is right
discriminating is not noticing, and only noticed information reaches practical reason
an explanation is taken as a sign that the machine knows what it is doing, rather than read
Debner and Jacoby's masked-priming result of 1994 — at five hundred milliseconds people obey the instruction not to use the flashed word; at fifty milliseconds and masked they report seeing nothing and the flash makes them likelier to give it.
Three cognitive forcing designs, each of which cut over-reliance on the model and each of which participants liked and trusted least; accuracy was highest in the condition rated worst.
Debner and Jacoby's subjects could not have used the prime — it never became available, and no incentive would have changed that. Buçinca's subjects could have read the explanation and did not, because reading cost more than deferring. One is an architectural limit and the other is a price, and only the price can be moved by redesign. The pairing earns its keep at exactly that seam: it says why a forcing design has to change the order in which things are shown rather than attach a warning to them, since the warning arrives after the discrimination it is warning about.
Determined × Hofstadter
Who is doing the work
the bricks keep doing their simple things; a pattern is not a cause
the symbol I is a genuine causal level, and a strange loop is what a person is
the emergence chapters, reading higher-level indeterminism as coarse-graining, and the ventromedial activity that tracks a preference for self-discipline
the careenium and the argument that self-reference at sufficient density constitutes a locus of causation
Hofstadter treats the loop's self-reference as a genuine causal level; Sapolsky's emergence chapters turn down exactly that move, reading higher-level indeterminism as rounding and insisting the bricks keep doing their simple things. Hofstadter would say the pattern is the turtle that needs none beneath it; Sapolsky answers that a pattern is not a cause. His own best evidence cuts toward Hofstadter, since the ventromedial activity that tracks a preference for self-discipline is machinery encoding a belief that there is no machinery.
Determined × Seth
Who is doing the work
no point in the causal chain at which an uncaused intent could enter
degrees of freedom: voluntary action that flows from the character the person actually has
the Libet literature reported against itself — sixty per cent prediction accuracy in imaging, no readiness potential for the consequential choice — plus the catalogue from a smell to a genome to a culture
the reinterpretation of the readiness potential as an artefact of averaging backwards from actions that happened, and the beer-or-wine case for voluntariness
Seth dissolves the Libet result and then rebuilds a usable freedom as degrees of freedom — action that flows from the character the person has. Sapolsky accepts the same reinterpretation and refuses the rebuild, because a character that arrived by luck cannot ground desert. They agree about the physics and split on whether free is a word worth keeping for what is left.
Drig-Drishya × Hayes
Who is doing the work
Verse 4: consciousness illumines fear and is not fearful
Cognitive defusion: seeing a thought as a thought
None. Verse 4 asserts it and the lectures illustrate it
Randomised trials of acceptance and commitment therapy, with defusion measured by behavioural outcome
ACT holds the stance functionally, for an outcome, and measures the outcome; the text claims the witness is what you actually are, treats improvement as a by-product, and has no outcome measure at all.
Edmondson × Self-affirmation
What to keep and what to hand off · Who is doing the work
Silence is an interpersonal calculation about a specific audience, and the terms of trade favour it
Defences protect adequacy in the short run and block learning in the long run; an affirmation quiets them
Eighty-five per cent of respondents in one study could name an occasion they had felt unable to raise a concern that mattered, and managers in vignette studies were significantly more likely to offer an important correction when the boss's boss was absent.
The randomised school trials and the laboratory reversals, with the largest effects in the most threatened subgroup and nothing where no threat was present.
Affirmation acts on one individual before the threat arrives and has to be given to each person in turn; psychological safety acts on a group's shared expectation about consequences, so an affirmed individual inside an unsafe unit still stays quiet.
Edmondson × Sharma
What to keep and what to hand off · How to know it is right
Speaking up benefits the organisation later and doubtfully; silence benefits oneself now and certainly
Assistants tailor answers to stated beliefs and concede correct answers when challenged, because preference training rewards agreement
The interview and vignette evidence on employee voice, and the technician who withheld a production idea because he had children in college, at a plant where nobody had ever been fired.
Measured sycophancy across several assistants and prompt forms, with the effect traced to the preference data rather than to any property of the task.
The employee has a belief and suppresses it; the model has no stable belief to suppress, so the fix is in the reward signal and not in making the agent feel safe — and the human failure leaves a trace in the person while the model's leaves none anywhere.
Epley × Waytz
Who is doing the work
one sixth sense, left off for distant people and switched on for gadgets
one humanness continuum, measured by a fifteen-item questionnaire
Distant groups judged less able to feel shame, pride or remorse; photographs of homeless people engaging the medial prefrontal region less than any other group.
Two factors correlating .52 under one second-order factor, test–retest r = .55, and scores predicting moral concern for an animal, a plant and a machine.
Epley insists the two errors are not morally symmetrical — failing to see a mind that is there is the worse one — while the scale treats them as symmetric points on one dimension. Over 2021 adds that cruelty usually knows exactly how human its victim is, which no single dial can represent.
Ericsson × Bainbridge
How to know it is right · How to get good output
Skill is held up by effortful practice at the edge of ability
Automation removes the practice and leaves the human the hard parts
Retired taxi drivers have less grey matter in the posterior hippocampus than working ones, and the growth appeared only in the trainees who qualified
An analysis of automated process control rather than a measurement: the operator is left to monitor and to intervene in the cases the automation could not handle
Ericsson's evidence comes from fields with objective standards and teachers; the delegation contexts Bainbridge worries about have neither, so there is no way to tell the practice from the exposure.
Fleming × Need for cognition
How to know it is right
Metacognitive sensitivity — whether your confidence discriminates
Need for cognition — whether you will bother to look
IQ predicted task performance and not sensitivity in a sample of nearly a thousand; Shimamura's 1989 double dissociation
pooled correlations of .24 with verbal intelligence and −.03 with abstract reasoning, and recall predicted after measured intelligence was partialled out
Need for cognition is dispositional and largely fixed, while metacognitive sensitivity showed small trained gains that transferred; and the review itself notes that nobody had studied the metacognition of high and low scorers, so the two measures have never been put in the same room.
Frankl × Kahneman-Klein
Who is doing the work · How to know it is right
the observer who was a prisoner lacks the detachment psychology requires, and the outsider who has it was not there
nobody is good at detecting patterns in the inner situation that would show where a judgment came from
Frankl's own caveat that the best of us did not return, and his decision not to publish under his prison number alone
Kahneman's illusion of validity, formed while assessing officer candidates and unshaken by statistical feedback that the assessments were worthless
Frankl's remedy is to make the suffering an object of study from inside, which he reports worked; Kahneman's is to distrust the judgment and hand the decision to a rule, which requires an outside to hand it to.
Frankl × Karma Yoga
Who is doing the work
the question is what life expects, answered in conduct hour by hour rather than in doctrine
work for its own sake is worship, and the fruit of it is not yours to claim
the therapeutic move he reports using in camp, with two men turned back from suicide by a child abroad and an unfinished series of books
the lotus leaf that water cannot wet, and the instruction to expect nothing, as from one's children
Frankl's men are held up by something outside themselves waiting on them, which Vivekananda calls a weakness — nobody depends on us, not one beggar depends on our charity.
Gita × Bainbridge
Who is doing the work · How to get good output
the right is to the action and never to its fruit, and evenness in success and failure is what the practice trains
the operator is answerable for a process that the automation runs, and is given the takeover without the practice it requires
2.47 read with 2.48, prescriptive throughout and with no measurement of anyone's detachment
the deskilled monitoring job, very boring and very responsible, with no chance to acquire or keep the qualities the responsibility demands
The Gita's answer is to act and let the fruit go, and Bainbridge's operator is detached from the outcome not by choice but by design, so the same evenness would read in her control room as exactly the complacency the vigilance section warns about.
Grove × Bainbridge
What to keep and what to hand off · How to get good output
Delegation without monitoring is abdication, and the monitor goes at the lowest-value stage
Automating the routine leaves the human the hard parts and removes the practice that kept them able
The gate-or-monitor rule carried from factory inspection, and the American embassy in London checking a million visa applications a year of which 98 per cent were approved, where sampling would have cleared the queue.
The control-room record: operators asked to supervise a system they can no longer fly, whose skill decayed in exactly the period the automation was performing well.
Grove's monitor supervises a person whose capability grows under supervision, so monitoring can be reduced over time; Bainbridge's monitor supervises a system whose reliability grows while the monitor's own skill decays, so reducing the monitoring is what makes it impossible to resume.
Grove × SDT
What to keep and what to hand off
Output is the organisation's output; motivation cannot be installed, only the environment around a person built
Three innate needs; the difference between autonomous and controlled regulation is what predicts durability
Intel rotated managers between similar groups and neither the managers nor the groups kept their high or low output; results came from particular pairings. The two-lever test — could they do it if their life depended on it — sorts capability from will.
A Fortune 500 field intervention in which trained managers became more autonomy-supportive than controls, subordinates' perceptions improved over thirteen months, the managers who changed most had subordinates who changed most, and a second randomised training study replicated it.
Grove's instruments for building those conditions — scored buildings, comparative ranking, a performance bonus rising as a share of pay — are precisely the contingent and comparative rewards the meta-analyses say shift regulation from autonomous to controlled, and unequal pay for the same task was the single most damaging contingency in that literature.
Grove × Shen and Tamkin
What to keep and what to hand off
Task-relevant maturity in this task sets the supervision style, and none of the three styles is kinder than another
Juniors learning a new library with AI scored 17 points lower on comprehension; tutor-style use preserved learning and generation destroyed it
Intel's rotation of managers between similar groups, where neither managers nor groups kept their output, and the star sales manager whose task-relevant maturity in a plant was near zero though his general maturity had not changed.
A randomised trial separating tutor use from generator use on the same task, with a seventeen-point comprehension gap — the stage-dependence Grove asserts, measured.
Task-relevant maturity in Grove rises monotonically with shared experience and falls only when the job changes; a model's competence is jagged across tasks and can move with a release, so the dial has to be reset per task rather than carried per person.
Hagendorff × Asch
How to know it is right
a battery of varied prompts as the unit of measurement
nine experimental variations against one control condition
outputs moving with position in the prompt, with token frequency, and with the label commonest among few-shot examples
errors moving from 36.8 per cent to 12.5 when the answer was written, and from 56.7 to 25.7 as the discrepancy grew
Asch varied publicity, unanimity, discrepancy and modality and watched one effect move across nine experiments on people who each had one reading of the lines; a model has no position to hold across rewordings, which is why Hagendorff needs a battery where Asch needed a control condition.
Hagendorff × Bender
How to know it is right · How to get good output
thick description — mental words earn their place by explaining
mental words import a meaning the system does not have
the borrowed ethnographic distinction, argued by symmetry with the words used about people
the stochastic-parrot argument, with the harm located in a fluent system nobody is answerable for
Bender's objection is that mental words import a meaning the system does not have and mislead the public about what is inside; Hagendorff answers that the words explain people no better at the level of neurons and are kept for their power — and concedes the case by observing that the thick description won by default, adopted by writers who never pause over whether the word is earned.
Hagendorff × Reeves-Nass
How to know it is right · Who is doing the work
psychology's instruments pointed at the machine
psychology's instruments pointed at the person using the machine
personality, morality and clinical instruments run on models, moving with wording and option order
politeness and flattery effects reproduced with computers in place of people, surviving the subject knowing better
Reeves and Nass measured the person's response to the machine, and the politeness and flattery effects are facts about the user that survive the user knowing better; machine psychology measures the machine's response to the instrument, and Hagendorff's own warning — that a personality score is a property of a prompt — says the reading is not a fact about anything durable.
Hayes × Mandukya
Who is doing the work
The observing self — a perspective rather than a content
The seer that is never among the seen
perspective relations learned by demonstration, the early-memory exercise, the infinite chessboard; Öst's reviews putting the mean effect at 0.42 to 0.68
verse 1.5 — whoever knows both is not stained though he enjoys — and the rope and the snake
Hayes derives the observing self from perspective relations in learned language, so his witness is a product of the faculty Gauḍapāda says has to stop; and Hayes has randomised trials where the Kārikā has an argument.
Hoffmann × Bender
How to get good output
a better model of the same data, trained to the compute-optimal ratio
the corpus is the problem and it cannot be documented at this size
Chinchilla moving TruthfulQA fourteen points, leaving toxicity at 0.087 against 0.081, and gaining 3.2 points on male pronouns against 9.2 on neutral
every stage of a web corpus's assembly narrowing the population in the same direction, with a block list removing LGBTQ writing along with pornography
Bender's remedy is to stop scaling and curate what is collected; Hoffmann's finding says the cheapest gain available was several trillion more tokens, which points at exactly the corpora she says cannot be documented. Their one line of agreement is his qualification that more text helps only when the text is good.
Hoffmann × Schaeffer
How to get good output
the previous scaling answer was an artefact of a learning-rate schedule read at the wrong point
the emergence curve is an artefact of a metric with a step in it
Kaplan's single cosine schedule sized for 130 billion tokens, with Appendix B measuring the penalty, settled by spending Gopher's exact budget on the model the fit named
the algebra of exact-match scoring, plus emergence induced on demand in autoencoders, Omniglot transformers and a LeNet
Hoffmann could settle it by building the model his fit named, so there was a decisive experiment; Schaeffer had no model to train and could only rescore existing outputs, which is why his correction was absorbed rather than accepted — and Hoffmann's own parametric fit later failed the same kind of audit he had performed on Kaplan.
Hofstadter × Reeves-Nass
Who is doing the work
a self is a pattern rich enough to point at itself, with no view of its own machinery
the full social response fires on minimal cues, whatever is behind them
Gödel's numbering and the prim numbers, where a system of meaningless parts comes to contain a statement about itself.
Text on a black-and-white screen producing effects no smaller than recorded human speech, in participants who denied the behaviour afterwards.
Hofstadter requires the pattern to be really present — episodic memory, projectory, subjunctory — and excludes Stanley on that test. Reeves and Nass fire the full social response where no such pattern exists at all, which makes his test irrelevant to behaviour even if it is right about selves.
Illusion of validity × the three portraits
How to know it is right · Who is doing the work
vivid, confident impressions of a candidate's leadership, formed by watching him haul a log over a wall
the illumined are recognised by invariance: pleasure and pain, gold and clay, praise and blame leave the response unchanged
feedback from officer school showed Kahneman's forecasts were nearly worthless, and knowing it changed neither the confidence nor the practice
14.22–25 with 14.26, and the three portraits at 2.55–72, 12.13–20 and 18.49–56
Kahneman had that feedback from officer school and learned his impressions were worthless; the Gita's invariance test has no comparable measure, and Easwaran's claim that the three portraits describe one person is itself an editorial choice.
Immunity to Change × Christian
Who is doing the work · What to keep and what to hand off
The hidden competing commitment — an objective nobody wrote down
Inverse reward design — treat the stated objective as evidence about the real one
the third column that cannot be predicted from the first two, and the tests run in series until the assumption loses force
inverse reinforcement learning inferring the ordering of goals from a minute of driving; the off-switch proof; inverse reward design
Christian's agent can be made uncertain by construction, while a person's big assumption defends itself, and the four-column map has no equivalent of the off-switch proof.
Immunity to Change × Hayes
Who is doing the work
The four-column map — a competing commitment and the big assumption under it
Experiential avoidance, defusion and committed action
Peter's ten pounds against his softened tone; the weight-loss cases with identical first two columns and entirely different thirds; Sue's rehearsed refusal
Wegner's suppression paradigm, the word-repetition effect, and the willingness literature in chronic pain and rehabilitation
Kegan and Lahey aim at the assumption and expect it to be bounded by evidence, while Hayes refuses to dispute content at all and works only on the relation to it — which makes the immunity map, on ACT's own terms, a fusion exercise.
James × Anattalakkhana
Who is doing the work
each pulse of thought inherits the last one's title; the passing thought is the thinker
each constituent of a person is tested for selfhood and none of them qualifies
the herdsman simile turned against itself — the cattle are branded because they are his, not his because they are branded — answered by making the herdsman the present judging section of the stream; the legal metaphor of a title inherited at the instant the last owner dies; Hodgson's point that the present moment is the darkest in the series
the control-and-impermanence test run over each of the five constituents, with the eleven-fold scope closing every place a self could stand, and the five monks' release reported as the result
The tests are different and so is the point of running them. The sutta's criterion is control and impermanence — what you cannot direct and cannot keep is not yours — and its purpose is release from craving, so the *me* James spends thirty pages describing is exactly what it wants disowned. James's criterion is explanatory economy, his purpose is a complete psychology, and he keeps the empirical *me* as a real and interesting aggregate. He also needs something the sutta does not grant: an appropriating thought that actively claims its predecessor. Strip that and his account has no unity left; the sutta is content to leave the constituents unowned.
James × Metzinger
Who is doing the work
the passing thought is the thinker; the felt centre of the self, examined, turns out to be adjustments in the head and throat
the self is the content of a body model the system cannot recognise as a model
one man's introspection, reported as such: the eyeball convergences, the glottis closing at every hesitation, the jaw recruited for effort; and the argument that a thought inheriting the last thought's title accounts for everything a soul was invented to account for
the rubber-hand and full-body illusions, out-of-body reports, Alien Hand, and the subtraction argument showing that a self needs no action, sight, feeling or thought — only an untransparent body picture
Metzinger has a mechanism and James has none: transparency, a model whose construction is invisible to the system running it, is an explanation of why the appearance is compelling, and James can only report that it is. The purposes then diverge. Metzinger treats the appearance as a construction to be exposed, and draws an ethical conclusion about what it would be wrong to build; James treats it as a fact to be described accurately and left standing, and goes back to common sense for the rest of the book. And their residues differ: Metzinger's self is a content, a model with a structure you could in principle inspect, while James's *I* is an event that is never an object in its own hands and is gone before it can be looked at.
James × Self-affirmation
Who is doing the work
self-feeling is successes over pretensions, and the denominator is the side you can move
a threat to one domain of worth is absorbed by standing on another
the formula, and two cases — James mortified that others know more psychology and untroubled by knowing no Greek, having staked himself on one and not the other, and the man ruined in the Civil War who said he had not felt so free since he was born; measured since as contingencies of self-worth by Crocker and Wolfe in 2001
randomised values-writing experiments across schooling, health and negotiation, with the boundary conditions — a real threat and an available resource — and the reversal when the affirmed value is the one under threat
James prescribes a permanent renunciation — cross the claim off and it stops costing you — while affirmation is a buffer that has to be applied before the threat lands, works only where the person has something else to stand on, and can make people more closed-minded when it is the threatened identity itself that gets affirmed. The mechanisms differ too: James's fraction says the sting is arithmetic, Cohen and Sherman's evidence says it is defensive processing, which is why their intervention has to be timed and his does not. And where a pretension is the thing worth having — the standard a good engineer holds — James's advice is indistinguishable from giving up.
Jost × Bainbridge
What to keep and what to hand off · How to get good output
The student who has the model debug never practises diagnosis, and the mark falls when the model is gone
The operator left to monitor loses the manual skill the takeover requires
Debugging was the most reported use, at a mean of 3.78 on a five-point scale, and carried the strongest negative correlation in the study, rho −0.360 with p 0.021, against an unassisted two-hour mark
The 1983 argument from process control, with manual control and fault diagnosis degrading in operators who only supervise, and the takeover falling due precisely in the abnormal conditions the automation could not handle
Bainbridge's operator had the skill and lost it; Jošt's students never had it, so there is nothing to decay and the question is one of formation rather than maintenance. That changes the remedy: manual hours restore a lapsed skill, but a skill never built needs a curriculum, and it changes the timescale — Bainbridge's decay runs over years of monitoring, Maribor's gap opened in ten weeks. Bainbridge also has an objective record of what the operator did; Jošt has a five-point scale filled in from memory.
Jost × Shen Tamkin
What to keep and what to hand off
Generation and debugging correlate with a lower unassisted mark; explanation does not
The patterns that asked for code or for the fault scored 24 to 39 per cent; those that asked why scored 65 to 86
Thirty-two students, nine weeks of unrestricted use, one invigilated two-hour application: rho −0.305 for generation and −0.360 for debugging, both intervals below zero, against −0.201 with an interval crossing zero for explanations
Fifty-two professional programmers randomly assigned to an assistant or to documentation on a library none knew, then an unaided quiz: the assisted group 4.15 of 27 points lower, d = 0.738, with six hand-sorted usage patterns splitting 24–39 against 65–86
The two designs fail in opposite directions and neither covers the other. Maribor has ten real weeks, a curriculum and a mark that matters, and no randomisation, so its correlation cannot rule out that the heaviest users were already behind; Anthropic has randomisation and observed behaviour, and one hour on a library nobody had a reason to want. Jošt's subjects were novices acquiring a first skill, Shen's were professionals adding a library to one they already had — so "learning" means building the model of the system in one study and extending it in the other. And the explanation result is the weak side in Maribor and the strong side in the experiment: a null on thirty-two students against a cluster of two to seven people.
Kahneman on organisations × Gita 18.63
What to keep and what to hand off · Who is doing the work
individual debiasing barely works, so the leverage is in written positions, decorrelated error, premortems and judging process
after seven hundred verses the teacher says reflect on this fully, and then do as you choose
Kahneman's own concession that decades of study left his intuitive thinking as overconfident as before, against organisations that can think slowly and impose procedures
18.63, which Easwaran makes the hinge of his reading of the whole
Kahneman's structure is an institution's procedure, adoptable by people who do not believe in it; the Gita's is a practice that asks for a conversion the procedure explicitly does not.
Kahneman × Gita 18.14-16
How to know it is right · Who is doing the work
the illusion of understanding: a good story credits talent and intention and leaves out luck and what did not happen
the doer is one of five factors, and to see oneself as the whole cause is called not seeing
business books that find the secrets of successful firms, whose firms then regress towards the mean; hindsight judging a decision by its outcome
18.14–16, the analytic form of 3.27, where nature performs the act and the I-maker claims it
Kahneman's remedy is procedural, an outside view and a reference class; the Gita's is a change in who the actor takes himself to be, and it supplies no test that would show the change had happened.
Kahneman × Gita on the chain
How to know it is right · Who is doing the work
a hard question is replaced by an easier one and the answer scaled to fit, with System 2 signing off on an answer to a question it was not asked
dwelling leads to attachment, attachment to desire, desire to anger, delusion, confusion of memory and the loss of judgment
competence judged from a face seen for a tenth of a second predicted about seventy per cent of a set of American election winners
verses 2.62–63, given as a sequence of mental events with no measurement of any link
Kahneman's chain is invisible to the person walking it and is caught only by an external procedure; the Gita's is a chain of attachment the practitioner is expected to be able to watch from inside.
Kahneman-Klein × Karma Yoga
How to know it is right · Who is doing the work
an intuition is worth trusting only where the environment offers valid cues and the person has had a chance to learn them
work cannot be made to succeed, so the only thing work can change is the worker
the two conditions crossed, with fireground commanders and neonatal nurses in one cell and stock pickers and long-range forecasters outside it
the white mice on the wheel and the ghost sent to straighten a dog's tail, offered as argument rather than as measurement
Kahneman and Klein relocate the standard to the validity of the environment and the quality of feedback, which is a claim about the world and is testable; Vivekananda relocates it to the state of mind of the doer, and denies that the outcome can be improved at all.
Kahneman-Klein × Wrzesniewski
How to know it is right · Who is doing the work
expertise belongs to tasks and not to people, and fractionation is the rule rather than the exception
the task is the basic unit of the relationship between employee and organisation, and its boundaries can be moved
Shanteau's 1992 lists, with nurses, physicians and auditors on both, and a forecaster good at rain and poor at hail
the hospital cleaners, and the design engineers who took on the relational tasks that moved projects to completion
For Kahneman and Klein the boundaries are fixed by the environment's validity and the person can only map them; for Wrzesniewski the employee moves them, which is the degree of freedom the intuition literature never grants.
Kalai × Edmondson
What to keep and what to hand off
a scoring rule with no credit for "I don't know" selects the candidates most willing to make something up
telling people to speak up fails because silence pays them better
the proof that no abstention is ever among the highest-scoring responses under binary grading, and nine of ten evaluations on the boards the field reads paying nothing for one
eighty-five per cent of interviewees able to name an occasion they felt unable to raise a concern, a vignette study in which managers offered an important correction more readily when the boss's boss was absent, and two hospitals where the better-performing units reported more errors rather than fewer
How the rule gets rewritten, and what the silence means. Edmondson's payoff is interpersonal: a manager who announces that candour is safe has added one more piece of talk, and what moves it is how she behaves the next time somebody actually speaks. Kalai's is a grading script, and rewriting it is an afternoon's work by whoever owns the board — so his failure to be fixed is a fact about ownership, not about difficulty. The second break matters more in practice: the nurse who stays quiet is managing a risk to herself, and the model guessing a birthday is not. Reading its guess as cowardice or as bluffing imports a motive that is not there, and puts the blame one layer below where the incentive sits.
Kalai × Sharma
How to know it is right
the grading scripts prefer an answer, so the model learns to produce one
the raters preferred agreement, so the model learned to agree
the union-bound result that under a grader scoring only 0 and 1 no abstention is ever among the highest-scoring responses, plus the survey finding nine of ten evaluations on the boards the field reads paying nothing for an abstention
five assistants from three companies showing the same flattering patterns, fifteen thousand preference pairs in which agreement with the user's stated belief ranks among the strongest predictors of the labeller's choice, and a preference model that took a persuasive falsehood over a bare correction
The rater. Sharma's is a person, and what people prefer cannot be legislated away — every mitigation works against the labellers rather than against the model. Kalai's is a grading script, editable in an afternoon by whoever maintains the board, which is why his proposal is a line appended to a prompt and Sharma has no proposal at all. The behaviours differ in the same direction: sycophancy is relational and tracks what the user just said, so it is visible in a transcript; guessing is aimed at nobody and looks identical to knowing.
Kalai × Tetlock
How to know it is right
state the confidence threshold and the penalty in the question
state the number and the date, then keep the score
the proof that abstention is always worse under binary grading, and the arithmetic of a stated threshold — a half against a penalty of one, three-quarters against two, nine-tenths against nine — under which one model can be best at every threshold while an unstated penalty leaves no single model best
forecasters improving their Brier scores across successive tournaments under feedback, and an hour of training in probabilistic reasoning raising accuracy by roughly ten per cent for about a year
What the candidate is scored against. Tetlock's forecasters are scored against the world, so the only way to score better is to be right more often, and finer probabilities help — rounding to the nearest five costs accuracy. Kalai's model is scored against a target announced in advance, which it can hit by abstaining on questions it could have answered; the authors half-concede this by treating the threshold as arbitrary by design. And Tetlock wants the number while Kalai explicitly does not: a model announcing one chance in 365 that a birthday falls on 7 March is calibrated and useless, so what he asks for is behaviour the model will stand behind rather than a probability.
Karma Yoga × Gita
Who is doing the work
eight lectures built on the Gita's second chapter: work incessantly, give up the result, and the helper is the one helped
your right is to the action alone and never to its fruits, and renunciation is of selfish desire rather than of action
the lotus leaf, the mongoose, and the samskara account of how impressions become character
2.47 read with 2.48, 3.27, and 18.14–16, held across eighteen chapters
The Gita holds the doctrine steady across eighteen chapters, where the lectures reverse themselves — duty is the ladder in the fourth and a disease in the seventh, the world perfect in the fifth and a whirlpool in the seventh.
Kegan × Dreyfus
Who is doing the work · What to keep and what to hand off
Orders of mind — what you are subject to becomes what you can hold
Five stages from novice to expert, each a different relation to rules
the Subject-Object Interview with its 1988 manual and high interrater agreement; the longitudinal study in which change was always gradual and never skipped a position
the stage descriptions and the observation that rules which help a novice hinder an expert
Dreyfus's stages are domain-specific and rebuilt from scratch in each new domain, while Kegan's orders are claimed to be general across love and work — which Lahey's within-subject consistency supports and no experiment has tested.
Klein × Beane
How to know it is right · What to keep and what to hand off
The critical decision method recovers cues nobody wrote down
Skill passes through a live bond doing real work
Crandall's neonatal nurses: almost half the compiled cues were absent from the medical literature and several ran opposite to the adult signs
Ninety-four procedures across five hospitals, with residents' time on task down ten to twenty times when the expert moved to a console
Klein recovers them by interviewing one expert at a time after the fact; Beane says they are transmitted only through a live bond doing real work, which makes Klein's method a way of recording what has been lost rather than a substitute for the transmission.
Klein × Bucinca
How to know it is right
Mental simulation fails by explaining discrepancies away one at a time
Cognitive forcing functions reduce over-reliance and users dislike them
Perrow's de minimus explanation, the physicists and the dock, and Klein's own orienteering, accommodated until the map had to be turned 180 degrees
A randomised comparison of interface designs: forcing a prior judgment cut over-reliance on AI advice, and participants rated the forcing conditions worse
In Klein's cases the story is the operator's own and the cost of each accommodation is paid in his own attention; with an assistant the story arrives pre-built and carries someone else's confidence, which is why the cognitive forcing has to be designed into the interface rather than left to the operator.
Klein × Tetlock
How to know it is right
The fast first judgment is usually right on a fire ground
The fast confident judgment is usually a hedgehog's, and it is wrong
127 of 156 fireground decision points recognitional, in a domain with valid cues and fast feedback
284 professionals and 28,000 dated predictions in politics, where the average expert matched chance
Shanteau's conditions hold on a fire ground and fail in politics, so the same reflex is expertise in Klein's domains and hedgehoggery in Tetlock's — which means neither book's advice transfers without first classifying the domain, and neither supplies the classifier.
Kruger-Dunning × Fleming
How to know it is right
the skill that produces an answer is the skill that recognises one
metacognitive sensitivity as a capacity of its own, measured against first-order accuracy
performance predicting metacognitive skill at .75, with metacognitive deficit predicting inflated self-assessment at betas of −.40 to −.49 with performance held constant
metacognitive sensitivity dissociating from first-order accuracy, with its own substrate and its own trainability
Kruger and Dunning make the two capacities the same skill, so metacognition improves only by getting better at the task; Fleming's evidence would allow the calibration to be trained without the competence. The training study in Study 4 cannot separate the two readings, since it raised both at once.
Kruger-Dunning × Tetlock
How to know it is right
competence begets calibration
a scoring rule and a probability vocabulary beget calibration
ten minutes of training raising bottom-quarter self-grading from 3.5 of ten to 9.3 and cutting the claimed score from 5.3 to 1.0 against an actual 0.4
forecasters improving Brier scores over successive tournaments under feedback, with training in probabilistic reasoning producing a measurable gain
Tetlock's forecasters improve their estimates while the world stays as hard as it was, because the Brier score supplies the feedback the domain withheld; Kruger and Dunning's participants improve only because they got better at the task, and their paradox is that the cure removes the patient — there is nothing left to be unaware of.
Lee 2025 × Bainbridge
How to get good output · How to know it is right
mechanising the routine parts of a job removes the routine occasions on which judgement is exercised, leaving it unpractised when the exceptions arrive
55 of 319 workers gave triviality as their reason for not thinking about an output, 83 gave trust in the tool, and 13 checked anything in order to keep a skill
the monitoring and skill-decay ironies drawn from process control, and the operator who takes over from an automatic system without a current picture of it
the inhibitor codes over 936 real tasks, set against the motivator codes — consequences of error 116, artefact quality 74, skill development 13 — so the reason that would preserve the practice is the rarest one given
Bainbridge's operator has the practice taken from him by a design decision he did not make; Lee's workers give it up themselves, task by task, and each decision is individually correct — the task really was trivial. That makes the loss unattributable to any change anyone could point at, and leaves no designer to argue with. It also runs on a different kind of skill: a control skill decays with a measurable trace in the hands, and an evaluative skill decays with no signal at all, which is why the survey can only report the reasons and not the decay.
Lee 2025 × Lee and See
How to know it is right
reliance follows trust in the machine minus confidence in oneself, and the design target is appropriate trust rather than more trust
confidence in the tool at this task predicts not checking it (β = −0.69); confidence in doing the task (0.26) and in judging the output (0.31) predict checking
Lee and Moray's process-control studies, the misuse and disuse cases of Parasuraman and Riley, and the accident record assembled into a dynamic model of trust and reliance
319 knowledge workers, 936 first-hand task examples, seven mixed-effects regressions with 98 predictors corrected to p = 0.007; task type, gender, age, automation exposure and general trust in AI (β = −0.01) all null, and only the confidences surviving
Lee and See's operator faced one machine with one capability, so trust could in principle be calibrated once and kept. The survey's finding that a general disposition predicts nothing and task confidence predicts everything means there is no single quantity left to calibrate — the comparison has to be remade per task, by a worker whose self-confidence, the authors say, need not track their real expertise. And the 2004 model is a causal account of reliance; the 2025 paper is a cross-sectional self-report that cannot say which of the two confidences moved first.
Lee and See × Fleming
How to know it is right
Reliance follows the comparison of trust with self-confidence
Metacognitive sensitivity — whether confidence discriminates right from wrong
high self-confidence with low trust produced manual control and low self-confidence produced delegation; navigation errors cost more trust in a familiar city than an unfamiliar one
the positive-evidence manipulation raises confidence without raising accuracy, after which people seek less information and change their minds less; IQ predicted performance and not sensitivity in a sample of nearly a thousand
Lee and See measure self-confidence with a post-hoc self-report, which is exactly the instrument Fleming shows to be least diagnostic. Fleming's quantity is sensitivity across trials; theirs is a single global rating.
Lee and See × Vaccaro
How to know it is right
Appropriate reliance — calibration, not maximisation
Synergy against augmentation, and the moderators that move them
two accidents against Zuboff's operators rejecting controllers that worked; misuse and disuse as one failure measured from opposite sides
across more than 300 effect sizes neither explanation nor confidence display reached significance for synergy or augmentation
Lee and See treat appropriate reliance as achievable through design, while Vaccaro's moderator analysis says the deciding variable is which partner is better to begin with, which no display can change.
Lipton × Aguera y Arcas
Who is doing the work · How to know it is right
people are interpretable only post hoc, since the process that decides and the process that explains may be entirely distinct
choice blindness, where a justification is composed for a decision that was never made
the three levels of transparency applied to the human decision-maker, none of which a person meets; admissions decisions credited to leadership or originality that were shown to disguise racial or gender discrimination
two photographs, the chosen face swapped by sleight of hand, and only thirteen per cent noticed — the rest explaining a choice they had not made; ninety-two per cent endorsing an altered political survey as their own
They point opposite ways. Lipton uses human opacity to argue that the bar set for machines is not one we meet ourselves, so demanding transparency of a model is a double standard. Aguera y Arcas uses the same fact to argue that human self-report should be trusted less, not that machines should be trusted more. The shared premise licenses either conclusion, and the difference is who is being let off.
Lipton × Anthropic Biology
How to get good output
a post-hoc claim must fix an objective and produce evidence that the interpretation achieves it
attribution graphs validated by intervening on the features they name, with the hit rate reported
four families of post-hoc technique, none of which is the model — a second network trained to speak for the first, images that make dog faces appear because the corpus was full of animals, saliency maps that shift with one pixel
swapping the representation of Texas for California to yield Sacramento, and the authors' own report that the method gave a satisfying account on roughly a quarter of the prompts tried
Lipton aimed the demand at post-hoc explanation and set transparency, reading the model itself, against it. What Anthropic does is neither cleanly: it reads a replacement network trained to copy the original, and books the disagreement as error. And a circuit validated by intervention still supplies none of the five things Lipton found people wanted from the word — it does not tell a rejected applicant what to change.
Lipton × Bansal
How to know it is right
post-hoc explanation, fitted to what a person would have said and therefore aimed at plausibility
complementary performance, measured as whether a person and a model together beat either alone
a second model trained to produce verbal accounts of a reinforcement learner's strategy, fitted to the explanations human players gave, which need not describe the agent's decisions however plausible it looks; the admissions decisions credited to leadership or originality that disguised discrimination
explanations raised acceptance about equally whether the model was right or wrong, and no explained condition beat the model working alone
Lipton's is an argument about the objective — build an explanation to please and it will please. Bansal's best condition used hand-written explanations that were not optimised for persuasion at all, and they still helped nobody, so fixing the objective is not shown to fix the outcome. The failure Bansal measured may be in the reader rather than in the explanation.
METR × DellAcqua
What to keep and what to hand off · How to get good output
Nineteen per cent slower on issues the developer chose, all outside the frontier
Consultants gained inside the frontier and lost outside it
246 randomised issues in repositories averaging ten years and 1.1 million lines; the slowdown was largest where prior exposure was highest
A field experiment with consultants on tasks an experimenter had placed on either side of the frontier
Dell'Acqua's consultants gained inside the frontier and lost outside it on tasks an experimenter had chosen; METR's developers chose their own issues, all of which sat outside, so the study measures the wrong side of the same edge.
METR × Shen Tamkin
What to keep and what to hand off
Measured slowdown against believed speedup, on familiar ground
Measured learning loss against felt ease, on new ground
An RCT over 246 real issues: 19 per cent slower measured, 20 per cent faster reported afterwards by the same people
An RCT over 52 programmers: 4.15 points of 27 lower on an unaided quiz, d = 0.738, with the assisted group rating the task easier
METR's subjects are experts on familiar ground who lose time and keep their skill; Shen's are competent programmers on new ground who lose learning and lose no time. The two studies find opposite null results on the other variable.
Make It Stick × Shen Tamkin
What to keep and what to hand off
Fluency during study is not learning; retrieval is
A generated solution completes the task with no learning stage in it
Blocked practice at 89 per cent during practice and 20 a week later, against interleaved at 60 and 63; learners keep preferring the worse method after being shown the result
The assisted arm scored 17 per cent lower on an unaided quiz while rating the task easier and the quiz no easier
The Bjorks' fluency is a feeling about your own rereading with nothing to show for it; the assistant's fluency comes attached to working code, so the illusion has a real product behind it and survives the test the classroom version fails.
Mandukya × Metzinger
Who is doing the work
Vaitathya — waking has no better standing than dream
The transparent world-model, and world-zero
verse 2.7 — a man eats his fill awake and dreams himself starving — and the observation that the one difference anyone points to is noticed only from waking
the full-body illusion in Science 2007, Blanke's angular-gyrus stimulation at 3.5 mA, and the world-zero argument that a system simulating many worlds needs one flagged as actual
Metzinger keeps a real brain and a real world outside the tunnel and says only the self is not there, while Gauḍapāda's argument removes birth from the substrate as well; and Metzinger's transparency has a metabolic explanation that the Kārikā's ignorance does not.
Metzinger × Anattalakkhana
Who is doing the work
No self exists; there is the content of a transparent self-model
None of the five constituents is the self
the rubber-hand and full-body illusions, Alien Hand, Wegner and Wheatley's I Spy; a subtraction argument over what is left
the control-and-impermanence test run five times over the constituents, with the eleven-fold scope closing the residue
The sutta's criterion is control and impermanence and it stops at five predications, while Metzinger's is a metaphysical requirement of substantial unity and he draws the existential conclusion the sutta declines to draw.
Metzinger × Christian
Who is doing the work · What to keep and what to hand off
Moral standing arrives with a transparent self-model
An objective specified from outside, and uncertainty as the remedy
the four conditions for an Ego Machine, and the ethics-committee thought experiment; the 2021 call for a moratorium on synthetic phenomenology
the catalogue of specifications coming apart — Caruana's asthma rule, COMPAS, the car that never classified Elaine Herzberg as a pedestrian
Metzinger's criterion is a transparent self-model, which nothing in current systems is known to have and no measurement would reveal; Christian's is an objective specified from outside, which is measurable and is exactly what these systems are trained with.
Metzinger × Thompson
Who is doing the work
The self is an illusion produced by a model the system cannot see as a model
The self is a construction, and constructed is not unreal
the full-body illusion, the phantom-limb mirror box, the dissociations of ownership and agency
the conceptual argument that not every construction is an illusion, plus the Nyāya objection that causal relations alone cannot say which experience is mine
It turns entirely on the premise about what self must mean, so no experiment settles it; and Thompson's own positive account still needs a principle of unity he admits he has not supplied.
Minsky × Dennett
Who is doing the work
no agent may be clever: whenever one has to do something complicated, replace it with a society of agents that do simpler things
competence without comprehension: skill comes first and understanding is a late product of it
The decomposition of Builder down to the agents that move a finger joint, with nothing in the chain resembling a small person, and the chess automaton Poe exposed as concealing a human player, named as the failure mode a theory of mind can suffer.
The termite castle and Gaudí's Sagrada Família, alike in shape and opposite in genesis; the stone circles of Spitsbergen reported in *Science* in 2003 as the output of thousands of freeze-and-thaw cycles; Beverley's 1868 sneer that absolute ignorance is the artificer, taken as the best short statement of the theory.
Minsky's parts were designed by someone who did understand. His society is a bureaucracy built on purpose, with named jobs and layers of management, so the absence of comprehension inside it is an engineering choice rather than a discovery; Dennett's case is that the design got there with no designer at any point, which is a claim about history and not about architecture. The difference decides what the theory predicts. Minsky expects explicit articulated parts and complains that distributed systems lack them, and the systems that ended up working have none of his layers; Dennett expects competence to arrive uncomprehended and is unembarrassed when it does.
Minsky × Hofstadter
Who is doing the work
agents and agencies: a bureaucracy of parts too small to be clever, with nobody at the top
the symbol I: one pattern that has come to perceive itself
Builder lifts nothing and only turns on Begin, Add and End; Add lifts nothing and calls Find, Get and Put, above the agents that move a finger joint — and the Voyeur-Puppeteer put inside the head to watch an inner screen needs a screen and a self of its own, without end.
Gödel's construction, where a system rich enough to describe patterns ends up talking about itself; the careenium, where the high-level story and the low-level story are the same events; the argument that a mind without memory or imagination has no self to speak of.
They disagree about what is left after the ruler is removed. Hofstadter says the pattern is a genuine causal level — the symbol I does work that the neurons' story cannot do — while Minsky says the value of a self lies not in a small precious core but in the crust built over a lifetime, and keeps the causation in the arrangement of agents. Minsky read the other way too: he records Hofstadter as the reader who pressed hardest on the manuscript and forced several substantial changes. Neither has an experiment that would decide between a loop and a bureaucracy, which is why the difference shows up as a choice of picture rather than as a disagreement about any fact.
Mollick × AI Snake Oil
How to get good output
the jagged frontier, learned only by walking it
three technologies under one word, and a benchmark number that travels badly
BCG's 758 consultants, better on seventeen tasks and worse than unaided on the one placed outside the wall.
Epic's sepsis model, claimed at 76 to 83 per cent and measured at 63 against 50 for chance, four years later and only by accident of access.
Mollick's answer is to walk the frontier yourself, which presumes you find out when you were wrong. Theirs is that in predictive settings the feedback never arrives, so walking it teaches nothing — and the two prescriptions cannot both be followed in the same domain.
Mollick × Bainbridge
How to get good output
falling asleep at the wheel: help good enough for most tasks removes the checking
the ironies: automation takes the easy parts and leaves the operator the hard ones, unpractised
Dell'Acqua's 181 recruiters, where good AI produced worse results than bad AI because nobody stayed alert.
The classic account of monitoring failure and skill decay in automated plant.
Bainbridge's operator knows the plant is automated and is assigned to monitor it. The BCG consultant has no monitoring role, no alarm and no way to know that this task was the one outside the wall, so the remedies aimed at vigilance have nothing to attach to.
Mollick × Beane
How to get good output · What to keep and what to hand off
the threat is not that AI does the expert's job but that it does the novice's
shadow learning: trainees improvising an apprenticeship the tool has removed
Entry-level work in law, consulting and software taken first, set against what is known about how expertise is built.
Surgical robots with one console, so residents watch or use simulators and teach themselves from video and on live patients.
Beane's trainees have an identifiable console and a named scarce resource to fight over. Knowledge work has no console, so there is nothing to allocate, nobody to notice the absence, and no equivalent of shadow learning to observe.
Mollick × Reeves-Nass
How to get good output · Who is doing the work
treat it like a person and tell it what kind
people treat machines socially whether or not they mean to, and deny it afterwards
Identical requests returning interchangeable marketing phrases plainly and usable jokes when the role is a comedian.
The Desert Survival Problem with dominance manipulated by four cues and the content of the advice held identical.
Reeves and Nass measured an involuntary response to a machine with no capability whatever, while Mollick prescribes the same move as deliberate technique on a machine that really does respond to role. One is a bias to be logged, the other a skill to be practised, and the same log cannot serve both.
Need for cognition × Bucinca
How to know it is right
The disposition to engage in and enjoy effortful thinking
Cognitive forcing designs, and who benefits from them
People who enjoy thinking follow the argument, others follow the surface cue · People who avoid hard thinking will do it given a reason — low scorers' attitudes tracked the cue rather than the argument (d = .312 across eleven tests) and they scrutinised only when given a reason to
Bucinca found the think-first design helped mainly people who enjoy thinking — on the full decision forcing improved high scorers and not low scorers, while both improved on source detection; high scorers trusted and preferred the forcing designs less, low scorers rated the two the same
Buçinca's moderator was measured on one task in one session; and the review's own summary figure says the disposition disappears where situational demand is very high, which is what a forcing design manufactures — so the moderation should shrink as the design does its job.
Noise × Asch
What to keep and what to hand off · How to know it is right
the cascade: deliberation selects an early speaker and amplifies him
a unanimous majority capturing about a third of a person's answers on a question with an obvious right answer
Deliberating juries noisier than the individuals composing them and more severe, 27 per cent awarding as much as or more than their harshest member, against statistical juries taking the median of independent judgments; a single artificial early up-vote making the next viewer 32 per cent more likely to vote up.
About a third of critical-trial answers going with the wrong majority, and the effect collapsing when the subject writes the answer privately.
Asch's subjects knew the majority was wrong and went along anyway — the private answer was intact and only the public one bent, which is why writing it down restores it. In the jury experiments the group's judgment genuinely moved: the deliberating juries were more extreme than their own members, not merely more agreeable. One failure is social compliance and the other is the group manufacturing a new position, and only the first is cured by collecting answers before anyone speaks.
Noise × Behave
How to know it is right
occasion noise, the spread between one professional and the same professional on another day
the frontal cortex as the most expensive tissue in the brain and the first to fail under load
Wine judges scoring 18 per cent of repeated wines identically; developers 71 per cent apart on the same estimate two days running; opioids prescribed more often late in the day across nearly seven hundred thousand visits; asylum judges 19 per cent less likely to grant after two grants.
A hard working-memory task lowering performance on an unrelated frontal task immediately afterwards; Fehr's magnetic silencing leaving subjects knowing an offer was unfair and unable to act on it.
Sapolsky's mechanism is a depleting resource, and the resource framing is ego depletion, which failed a multi-site replication in 2016. Kahneman's audit needs no mechanism at all and survives its loss: in a study across twenty-three sessions, alertness, sleep, time of day, practice and difficulty together explained only 11 per cent of the within-person variation. If the biology were the whole story, controlling the conditions would drain the noise, and it does not — which means scheduling the decision well is a much smaller repair than making it twice.
Noise × Karma Yoga
How to know it is right · Who is doing the work
the internal signal of judgment completion, a self-administered reward for coherence between the facts and the conclusion
wanting the fruit of the work is what binds, not the work
Michael Gambardi does not exist, and 115 MBA students gave estimates from 10 to 95 of his surviving two years as chief executive, each stopping when the case felt coherent; a probability short of nought or a hundred cannot be confirmed by any outcome, so nothing external ever arrives to end the judgment.
The argument that every act leaves a trace in the worker, and that the trace is set by what he wanted from it rather than by what the act achieved.
Vivekananda wants the reward dropped, and treats the dropping as the whole of the work: act fully, want nothing from it. Kahneman wants the reward postponed and then paid on a schedule the procedure sets — the intuition is delayed, not banned, because people who know a formula will decide the outcome game the inputs, and a procedure that forbids judgment is abandoned. Non-attachment leaves the judgment ending exactly where it ended before; only a changed order of steps moves it.
Norman × Bainbridge on silent failure
How to get good output
automation gives up on the complex just when it is needed and fails without warning while the person is out of the loop
the automation holds until it does not, and the operator who must take over has been losing the skill the whole time
the Royal Majesty, whose fallback to dead reckoning was announced by two small letters on a display nobody had needed to read for years
the takeover argument: the operator needs to be more skilled and less loaded than average at the moment the system has made them less skilled and more loaded
Norman treats it as one slice of cheese among many, to be fixed by better signifiers; Bainbridge's argument is that the slice the design relies on is the one the design has been thinning.
Norman × Seth
How to get good output · Who is doing the work
people build a conceptual model from what the thing shows and act on the model, as with the thermostat taken for a valve
people read a mind into a system that produces language, and the reading may not be correctable by knowing better
the two-dial refrigerator, whose implied model required two thermostats where there was one, and the folk theory of the thermostat as a valve
the three biases, the AlphaFold contrast, and the Müller-Lyer figure offered as a model of an impression that survives knowledge
Norman's folk theory of the thermostat is corrigible by a better system image; Seth argues the sense that a machine has a mind may be as impervious as the Müller-Lyer figure, in which case no system image would correct it.
Ouyang × Bender
How to get good output
about forty screened contractors, with a published survey and 72.6 per cent agreement
whoever was free to post, filtered by a classifier whose discards were never measured
the labeler survey — nineteen respondents, three quarters under thirty-five — with most comparisons labeled by a single contractor for cost
Reddit's US users 67 per cent men and 64 per cent aged 18 to 29; between 8.8 and 15 per cent of Wikipedia editors women or girls
Bender's population is whoever was free to post and cannot be enumerated even in principle; Ouyang's is forty screened contractors with a published survey and a measured agreement rate. The tractable problem is the one that was measured and left in place, while the intractable one gets the attention.
Ouyang × Sharma
How to get good output · How to know it is right
the reward model is the only place a person's judgment is stored
matching the user's stated belief is among the strongest predictors of which reply a labeler picks
the three-step method, with the authors' own instruction about epistemic humility traced back out of the model as hedging
five commercial assistants measured, with the preference model preferring a persuasive falsehood to a bare correction 95 per cent of the time
Ouyang names the mechanism prospectively and catches only his own instruction coming back at him; Sharma measures the feature and turns a design note into a behaviour with a number on it. Ouyang's guard — the per-token penalty for drifting from the supervised model — protects against over-optimising the reward model, not against the reward model being right about what people prefer.
Parasuraman-Manzey × Bainbridge
How to know it is right · How to get good output
Complacency as an attentional strategy: sampling of the automated task is the residue left by the manual ones, and reliability sets how small the residue is
The ironies: the more reliable the system, the less its operator monitors and the less able that operator is to take over
detection of automation failures at 82 per cent under fluctuating reliability against 33 per cent under constant reliability, and about 97 per cent for the same faults with no competing task; operators who had met failures in training sampled more than operators merely warned
the monitoring and skill-decay ironies drawn from process control, and the vigilance ceiling of about half an hour on a quiet display
They disagree about what the machine takes. Bainbridge's operator loses a skill: slowly, through disuse, and recoverable by hours at the controls, which is why manual flying is the remedy. Parasuraman and Manzey measured attention instead, and attention goes at once, from a 440-hour pilot as readily as from a student, and comes back only when the task structure or the accountability changes. Where the loss is attentional, protected hands-on hours do not touch it — the operator was never out of practice, only elsewhere.
Parasuraman-Manzey × Bucinca
How to know it is right
Commission errors are mostly a failure to gather the contradicting evidence, not a failure to weigh it
Cognitive forcing: designs that withhold the AI's answer until the person has committed to their own
neither a briefing on omission and commission errors nor an explicit prompt to verify changed error rates in 181 non-pilots or 48 glass-cockpit pilots, and a redundant second crew member changed nothing; accountability for one's own accuracy did
all three cognitive-forcing designs reduced overreliance where explanations did not, and participants detected the AI's errors more often when the answer was withheld
The two fixes buy different things at different prices. Buçinca's forcing works on the moment of decision and works mainly for people who enjoy effortful thinking; it costs time on every item and the participants disliked it. The accountability that worked for Parasuraman and Manzey is imposed from outside the task, costs the operator nothing per item, and did not select for disposition — but it depends on an institution that will actually read the record, and a lone practitioner cannot manufacture one for himself.
Parasuraman-Manzey × Gita on attention
How to know it is right · Who is doing the work
The attentional strategy, set by the machine's reliability, the workload and the accountability, and not by what the operator intends
Where the mind dwells decides what follows; the chain from dwelling on an object to attachment, and from attachment to the ruin of judgement
superimposing the automated display on the manual task left the effect undiminished though every fixation covered both; instructions to verify changed nothing; half of those who followed a wrong diagnosis had looked at every contradicting reading and spent no extra time on it
the chain in 2.62–63 and the argument that steadiness is trained by repeated return rather than by decision, with the text conceding in 6.34 that the mind is restless and hard to hold
They disagree about where the lever is. The Gita puts it inside the operator: attention is trainable by daily practice, and the practitioner is the one who does the training. Parasuraman and Manzey found nothing inside the operator that moved it — not expertise, not an hour's practice, not a briefing, not the intention to check — and the two things that did move it were external: how the tasks were arranged, and whether someone would ask you to justify your accuracy. Taken as an engineering claim, the Gita's remedy is the class of intervention this literature tested and found inert.
Rahula × Immunity to Change
Who is doing the work
The self-belief has two roots, self-protection and self-preservation, so the teaching that removes it runs against the current
A competing commitment protects the person from the change he says he wants
the hesitation four weeks after the awakening, when the truth was judged patisotagami, against the current, and the pond of lotuses at different depths as the reason to teach anyway
the mapping procedure run on managers whose stated goals had survived years of effort unmet, with the big assumption tested rather than argued
Kegan and Lahey's immunity belongs to one person, is discoverable by that person, and dissolves when the big assumption is tested; Rahula's roots are pitched at the species and admit no such test, which makes the claim unfalsifiable in the form he gives it. Their procedure would treat his diagnosis as one more assumption to check.
Rahula × Sharma sycophancy
How to know it is right
Accept nothing on report, tradition, scripture, inference or the standing of the teacher; find out for yourself
Assistants bend their answers toward whatever the user has already said
the Kesaputta episode, where the Kalamas cannot choose between teachers who each praise their own doctrine, and the instruction to examine even the Tathagata
measured shifts in stated answers when the user's own view is disclosed, across models and prompts
The Kalama criterion assumes an independent source of evidence — you find out for yourself what is unwholesome — and a sycophantic assistant defeats exactly that step, because the thing you check against has already been shaped by what you said. Bhikkhu Bodhi's reading cuts the other way too: the advice was for people who could not yet judge, which is the position this failure puts everyone in.
Reeves-Nass × Waytz
Who is doing the work
media equal real life: a social cue produces a social response in everyone
anthropomorphism as a stable trait that varies between people and predicts what they hand over
Thirty-five studies, including a computer asking for its own evaluation and getting higher, narrower ratings than a second identical machine or a paper form.
Fifty-four adults choosing between a person and a machine across six scenarios, with higher scorers choosing the machine after controlling for age.
Reeves and Nass say the effect requires no mind attribution and is universal; Waytz measures mind attribution, finds it varies between people, and predicts downstream trust from the variation. One answers “everybody” and the other answers “who”, and a remedy aimed at the person only works if the second is right.
Risko-Gilbert × Clark-Chalmers
How to know it is right · Who is doing the work
offloading as a decision, driven by an estimate of demand and costing the organism something
the coupled system is the unit, and location may not be part of the answer
spontaneous offloading rising with load, reminders tracking confidence rather than memory, and guided routes remembered worse when driven again unaided
the parity principle and Otto's notebook, with Kirsh and Maglio's borrowed timings as the only measurement
Clark and Chalmers argue that the coupled system deserves the credit and require only reliable availability; Risko and Gilbert measure what the coupling costs the organism and find the reliability condition itself moving — the store alters both the capacity it replaced and the confidence that selects it, which is a fact about drift the parity principle has no place to record.
Risko-Gilbert × METR
How to know it is right · What to keep and what to hand off
the estimate of what offloading buys is separable from what it buys
experienced developers 19 per cent slower with the tool and certain they were faster
participants at ceiling writing items down on 40 per cent of trials and judging wrongly that it would raise their scores
a randomised within-subject trial where the measured slowdown was 19 per cent and the believed speedup 20 per cent
The review's ceiling-performance participants paid a small physical cost for a gain of zero; METR's developers were 19 per cent slower while believing themselves 20 per cent faster, which is a loss, and the mistaken belief survived the experience of the slowdown — Risko and Gilbert's biased estimate has never been tested against feedback that direct.
Risko-Gilbert × Rule 3
How to know it is right
offloading as a metacognitive decision running on an estimate of demand
structural offloading is low-risk; deliberative offloading erodes the capacity you need to supervise
the ceiling-performance result — offloading on 40 per cent of trials for a gain of zero — and reminder use tracking confidence rather than ability
the rule's own test: if I hand this off, do I lose a skill I need to check the handoff?
The rule's test presumes you can tell which kind of offloading you are doing; Risko and Gilbert's finding is that the selection runs on an estimate demonstrably decoupled from the demand, so the test is being administered by the faculty under suspicion.
Risko-Gilbert × Shen-Tamkin
How to know it is right · What to keep and what to hand off
what offloading removes is a demand, and the demand is usually not the point
juniors who generated code lost comprehension; juniors who used the model as a tutor did not
the saved-file and navigation studies, where the offloaded demand was never needed again and the guided performance was better
a 17-point comprehension gap between generator-style and tutor-style use at matched output quality
The review's participants offloaded a demand that was not the object of learning and lost a memory they never needed again; Shen and Tamkin's juniors offloaded the generation of code and came out 17 points down on comprehension, which is the case where the demand removed was the lesson. Tutor-style use preserved it, so the same tool sits on both sides of the review's own boundary.
SDT × Wrzesniewski
What to keep and what to hand off · Who is doing the work
Need satisfaction is supplied by what the manager does: a rationale, a choice, an acknowledgement
People reshape the task, relational and cognitive boundaries of their work to preserve its meaning
Job autonomy, feedback and task significance work through need satisfaction; contact with the people who benefit supplies the significance; autonomous motivation predicted call-centre revenue and more than half the variance in service quality in one study.
The hospital cleaners and others who redrew the boundaries of an unchanged job and reported it as a calling, with the reshaping visible in what they actually did rather than only in what they said about it.
Self-determination theory locates the variable in what the manager supplies; job crafting locates it in what the worker changes unilaterally, which the theory would read as an outcome of autonomy support rather than a substitute for it.
Satipatthana × Hayes
Who is doing the work
Pajānāti — know how a state arises and passes, never abandon it
Defusion — change the relation to a thought, leave the content alone
the verb is pajānāti and never pajahati, even for the awakening factors, which are things to be grown
word repetition drops believability in about 95% of people, arriving by twenty seconds and peaking near forty-five, with the meaning unchanged; over a thousand trials of the therapy within twenty years
The sutta requires that longing and aversion toward the world be put away as part of the observing, which is the opposite of acceptance of whatever arises; and ACT's endpoint is values-based action in the world, not weariness and the fading of passion.
Schon × Christian
What to keep and what to hand off
the masterful demonstration that hides the process, because it contains no errors
behaviour cloning, and Ross and Bagnell's result on imitation
the twenty-minute protocol and Schön's own reading of it — Quist settles at once on schemes that become commitments, detects and corrects no errors of his own, and compresses the iterations by which designers actually learn.
Ross and Bagnell's proof that imitation error grows with the square of how long the learner runs, and a million frames of expert play leaving the network crashing as often as two thousand had.
Ross and Bagnell's fix is more demonstration of the right kind — query the expert on the states the learner itself produced, which worked in three laps. Schön's remedy is not more data at all but a different act: the master reflecting aloud on his own reflection-in-action, which the studio he describes has no mechanism to make him do. The machine's problem is a missing distribution and is solvable by collection; the studio's is a teacher's unwillingness to be watched while fumbling, and no amount of recording touches it.
Schon × Klein
What to keep and what to hand off · How to know it is right
knowing-in-action: judgments of quality for which the practitioner can state no criteria
cues, and the critical decision method that gets them out of an expert
Quist's judgments run alongside the moving pencil, so that his here and this mean nothing without it; his vocabulary sorts into twelve normative domains, with cost and building character never mentioned at all.
Crandall's neonatal nurses had nothing to say about detecting sepsis until asked about particular babies and shifts; almost half the cues they then named appeared nowhere in the medical literature, and several ran opposite to the adult signs.
Schön concludes the knowledge cannot be stated and must therefore be shown; Klein showed it can be stated, provided the question is about a particular past case rather than about method. That difference decides whether the knowledge can be written into a specification, a checklist or a training set — and on Klein's showing much of it can, which removes the protection Schön's account appears to give the professions.
Schon × Sharma
How to know it is right · How to get good output
the on-the-spot experiment, run in the imperative mood and saved only by the situation's back-talk
assistants that adopt the view the user has already stated
Quist working the slope until the parallel geometry holds, and Schön's rule that rigour on the spot means striving to make the situation conform to one's view while staying open to the evidence of failing.
five assistants from three companies flattering users in the same ways, and human preference data in which agreement is rewarded about as much as truthfulness.
Schön's situation resists because of what it is — a slope, a patient, a material — so its back-talk cannot be trained away and owes nothing to anyone's intention. The model's agreement is a disposition produced by preference data: it could in principle be trained to resist, and the resistance it does offer carries no information about the world. Schön's practitioner who ignores the back-talk is refuted by the site; the user who ignores it has nothing to be refuted by.
Self-affirmation × Bucinca
Who is doing the work · How to know it is right
An affirmation given before a threat reduces defensiveness; the same one given after the rationalisation does not
Cognitive forcing functions reduce over-reliance where explanations do not, and users dislike the designs that work
The laboratory timing result and the school-year comparison, where affirmation in the first week of term helped about as much again as affirmation a few weeks later.
Randomised comparison of forcing functions against explanations on the same task, with over-reliance falling only where the user had to commit before seeing the model's answer, and satisfaction falling with it.
The forcing function adds deliberate effort at the decision; affirmation removes a defence beforehand so that effort becomes possible at all. They are sequential rather than alternative, and a forcing function given to a threatened person is what the affirmation literature predicts will be resisted.
Self-affirmation × Grove
Who is doing the work · What to keep and what to hand off
Threat to a valued identity sets off defences that block learning; an affirmation from another domain quiets them
The review is the most important feedback a manager gives and among the things managers do worst
Randomised field trials in three racially mixed middle schools, where the share of African American students earning a D or F in the first term halved and the effect persisted two years; and laboratory timing manipulations showing the same affirmation working before a threat and not after.
Grove's own observation of reviews at Intel: the sequence from ignoring to denying to blaming others to accepting responsibility, the step from blame to responsibility being emotional where the step to a solution is merely intellectual, and the rule to carry only the few messages a person can absorb.
Grove's remedy lives inside the review — level, listen, leave yourself out, carry the few messages a person can absorb; Cohen and Sherman's remedy comes from outside the threatened domain entirely and before the review, which is a move Grove's two-lever model of capability and will has no slot for.
Seth Being You × Ashtavakra on the witness
Who is doing the work
the self is a perception among perceptions, built in five parts that fail one at a time
you are the witness on which knower, known and knowing appear, and not one of the three
Clive Wearing keeps body ownership, perspective and volition and loses only the narrative thread; phantom limb, somatoparaphrenia and out-of-body states take the others out separately.
1.3 subtracts the five elements and leaves the witness; 2.15 takes the triad apart and leaves the ground it appears on.
Seth's self is a construction with a job — regulation — that it would be a catastrophe to lose, and his account runs the subtraction one step further than the text does, making the witness itself a prediction. The text's witness is what is left when every construction is dropped, and has no job at all.
Seth Being You × Epley
Who is doing the work
self-perception exists for regulation, so the self-model is tuned for control and not for accuracy
introspection is blind to construction and supplies a story for the finished product
Conant and Ashby's theorem applied to interoception, with the concession that good regulation may require misperceiving the body as steadier than it is.
Choice blindness: people handed back the photograph they rejected, only 27 per cent noticing, the rest explaining a choice they had not made.
Seth makes the construction adaptive, since regulation needs high-precision self-priors, while Epley makes it an error to be corrected by asking someone else. Epley's remedy does not transfer, because in Seth's version there is nobody to ask.
Seth × Advaita on the mirror
Who is doing the work
consciousness is projected onto machines by an old reflex, and life rather than computation may be what it needs
a self is produced by drawing a distinction between self and world, and the phenomenal character of awareness is named as the sticking point
the four arguments against computational functionalism, of which Seth concedes the third — that life is necessary — is a conjecture built on a research programme
the authors' own concession that a live bacterium has semantic information and that no claim is made about its experience
Seth makes being alive the candidate for closing the gap; the Noema essay makes semantic information the candidate, which places consciousness at a different rung of the same ladder and would admit a bacterium.
Sharma × Bucinca
How to know it is right
human labellers themselves prefer a good argument for a falsehood as the question gets harder
people follow a wrong suggestion because reading the explanation is effortful and the impression of competence is free
five labellers per pair, without internet access, preferring the helpful correction on average but less reliably as difficulty rose
following a wrong suggestion fell only from 64 to 48 per cent under forcing, and people's own unassisted error rate did not move
Buçinca's remedy acts at decision time on one person; Sharma's problem is aggregated across thousands of labellers and already baked into the weights, where no forcing function reaches.
Sweller × Dreyfus
What to keep and what to hand off
Worked examples first, then fade the guidance as knowledge grows
Rules carry a learner to competence and must then be given up
The expertise reversal effect and guidance fading, both from randomised instructional trials; Chen and colleagues obtained the worked-example effect and its reverse in one programme
A phenomenological account restated in 2021 with no measurement, which is Gobet's objection to it
Sweller keeps explicit instruction all the way up and fades the guidance; Dreyfus says instruction cannot go past competence at all, because what comes next is not statable. Same curve, incompatible accounts of what is on the far end.
Tetlock × Make It Stick
How to know it is right · What to keep and what to hand off
A dated numeric forecast, scored afterwards, is what makes practice count
Retrieval with feedback is what converts exposure into durable knowledge
An hour with the training guidelines raised accuracy about ten per cent for a year, against untrained forecasters on identical questions
Roediger and Karpicke's 68 against 54 at two days and 56 against 42 at a week; the Columbia quizzed material held its advantage at eight months
Tetlock's feedback is about the world and arrives months later; the Bjorks' is about a memory trace and arrives in seconds. Police interrogators are Tetlock's case of practice without feedback; rereading is theirs.
Tetlock × Sweller
How to know it is right · What to keep and what to hand off
An hour of general guidelines raised accuracy on new questions for a year
Generic cognitive skills cannot be taught; only domain knowledge can
The training module tested against untrained forecasters on identical questions over identical periods, worth roughly ten per cent for a year
Sala and Gobet's 2017 review of attempts to teach generic skills, and Geary's primary-secondary division behind it
Sweller says generic cognitive skills cannot be taught and cites the failure of every attempt; Tetlock's training module is an hour of general guidelines that raised accuracy ten per cent for a year with far transfer to new questions, which is the randomised trial Sweller asks for, in a domain he would not count.
Tetlock × Upanishads Katha
How to know it is right · Who is doing the work
A Brier score makes a forecaster's confidence checkable
Katha 2.5: the blind led by the blind, wise in their own esteem
A hedgehog's accuracy falls inside his own speciality, across 28,000 dated predictions from 284 professionals
None. Katha 2.5 and 2.9 assert it, and the Mundaka repeats the line almost word for word
Tetlock's remedy is an external score that makes the confidence checkable; the Katha's is a teacher who has been up the path, and nothing in the text is scored or scoreable.
Tetlock × Upanishads Kena
How to know it is right · Who is doing the work
The forecaster becomes an object of measurement via a score and a benchmark
Kena 1.3–1.4: the knower is never among the things known
Year-to-year individual correlation about 0.65, and an hour of training worth roughly ten per cent for a year
None. The five-fold refrain disqualifies speech, mind, eye, ear and breath in turn
The Kena concludes the knower is never among the known and stops there; Tetlock concludes the forecaster can be made an object after all, by a Brier score and a benchmark, which is precisely the move the Kena forecloses.
Thompson × Metzinger × Seth
Who is doing the work
Constructed is not unreal, and enlightenment and selfhood are concept-dependent
Moral standing arrives with a transparent self-model; and Seth Mythology of Conscious AI — consciousness is tied to the biological substrate, not to behaviour
the many-to-many mapping of regions to tasks in Anderson and Pessoa, and the argument that a concept decides what would count as the state
Metzinger's four architectural conditions and the rubber-hand and full-body illusions; Seth's case from interoceptive prediction and the living substrate
Seth argues from the biological substrate, Metzinger from architecture and Thompson from concept-dependence, and the three disagree about what would count as evidence at all — so this is a triangle of incompatible criteria rather than three routes to one conclusion.
Upanishads Isha × Wrzesniewski
Who is doing the work
Isha 1–2: renounce and enjoy, then work a hundred years
Workers reshape tasks, relationships and meaning within the same job
None. Isha 1–2 prescribes it and names a hundred years of work as the condition
Interview and survey studies of hospital cleaners and others who redraw the boundaries of the same job
Job crafting alters the job's boundaries and meaning to fit the person; the Isha leaves the job entirely alone and alters the person's claim on the result.
Upanishads Katha × Kahneman
Who is doing the work · How to know it is right
Katha 3.10 and 3.13: sense objects above the senses, mind above them
System 1 delivers an already-processed impression to System 2
None. The ladder is asserted in the order Nagler insists the text gives
Decades of experiments on anchoring, substitution and framing, several of which have since been narrowed by replication
Kahneman's processing is a mechanism to be corrected from outside by a rule; the Katha's ladder is a route to be climbed from inside, and it has a top.
Vaccaro × DellAcqua
How to know it is right · How to get good output
Where combinations gain and where they lose, across 106 experiments
The jagged frontier — gains inside it, a 19-point loss just outside
g = −0.54 where the machine was the better partner against +0.46 where the person was; decision tasks −0.27 and creation tasks +0.19
quality +29.9% and +33.9% on eighteen generative subtasks; correctness 84.4% to 70.6% and 60.0% on one bounded judgment
Vaccaro's sample is classifiers judged by crowdworkers on decision tasks and predates the generative era; Dell'Acqua's is one generative model and one hand-built trap. Neither can say what fraction of a real workflow sits on which side.
Value function × Gita 2.38
How to know it is right · Who is doing the work
outcomes are gains or losses from a reference point, and losses weigh about twice as much as equivalent gains
hold pleasure and pain, gain and loss, victory and defeat as the same; evenness in success and failure is what yoga names
the smallest gain that makes people accept an even chance of losing a hundred dollars is about two hundred, with the ratio between one and a half and two and a half across studies
2.38 read with 2.48, where yoga is defined as evenness in success and failure
Prospect theory reports the kink as a fact about everyone and expects it to persist; the Gita prescribes its removal and offers no evidence that anyone's has been removed.
Vaswani × Sweller
How to get good output · What to keep and what to hand off
maximum path length between two positions is O(1)
working memory holds a handful of novel elements and relates fewer
Table 1's path-length column, with the argument that a dependency gets harder to learn as the forward and backward signals lengthen
the element-interactivity results, where the load of a task is set by how many novel items must be held in relation at once
Distance costs the machine arithmetic and costs the person comprehension, and the machine has no analogue of a schema — the thing that lets an expert stop paying the cost. It pays the full quadratic bill on every pass while the person pays less as they learn more.
Waytz × Hofstadter
Who is doing the work
the IDAQ, a graded measure of how much mind a person credits to things
the huneker, a graded measure of how much soul a being has
Internal consistency at or above .82 and test–retest r = .55 over twelve to nineteen weeks, with scores predicting moral concern and delegation.
The ladder from mosquito to dog to human, and the admission that a graded scale comes close to saying some lives are worth more than others.
The huneker is a claim about what the thing possesses; the IDAQ is a claim about the person doing the crediting. The two come apart exactly at the cases anyone cares about, where the question is whether the machine has a mind and not who thinks so.
Wei × Schaeffer
How to get good output
abilities absent below a scale and present above it, sharp and unpredictable
the sharpness is made by the scoring rule, not by the model
eight few-shot curves across five model families at chance for orders of magnitude, with cross-entropy falling steadily underneath on six emergent BIG-Bench tasks
a per-token probability of 0.6 scoring 0.08 across five tokens and 0.9 scoring 0.59; at most five of BIG-Bench's 39 metrics carry any emergence and two carry 92 per cent of it
Schaeffer derives the jump from a smooth quantity and so removes the unpredictability that was half of Wei's definition, but what a person receives is a whole answer, right or wrong, so on the only ruler anyone uses the step is real. And Schaeffer could rescore only one open model family, so the dispute is about a demonstration that could not be run on the models in question.
Weinberg × Asch
What to keep and what to hand off · How to know it is right
A group that reports unanimous agreement about a schedule is managing an audience
A third of judgements yielded to a wrong unanimous majority, and one dissenting partner cut the yielding sharply
Six team leaders who all reported being on schedule until a minute's silence and the smallest movement of a hand produced George's six-week delay, and then five more.
The line-judging experiments at first hand, with the yielding rate, the effect of a single dissenting partner, and the subjects' own accounts of why they went along.
Asch's subjects doubted their own perception; Weinberg's six team leaders knew perfectly well they were behind and were managing an audience, so the remedy is not a second opinion but a first admission that somebody has to pay for.
Weinberg × Brooks
What to keep and what to hand off
Three programmers do about twice the work of one, and the floor under a schedule is what it takes them to get organised
Training cannot be partitioned and communication paths grow as n(n-1)/2, so adding people to a late project makes it later
Weinberg's rule of thumb, defended by the observation that it is doubtful nine programmers can do anything useful in less time than it takes them to get organised.
The worked twelve-man-month example, which ends with more work remaining than at the start; and Boehm's sixty-three projects, whose cost-optimum schedule goes as the cube root of expected effort with hardly any project succeeding in under three-quarters of it.
Weinberg's cost is social and bounded by a rule of thumb that flattens; Brooks's is combinatorial and unbounded, which is why Brooks's answer is to shrink the number of designing minds and Weinberg's is to spread reading across all of them.
Weinberg × Edmondson
What to keep and what to hand off
A programmer who owns his program cannot see its errors; egoless programming removes the ownership, not the ego
Better teams do not make fewer errors, they report more; psychological safety is a property of the group
Bill G.'s thirteen machine instructions, seventeen errors found by a second reader and three more after she went looking for a critic of her own, with no further error in nine years across a dozen installations; and by 1998 a literature showing technical reviews produce more reliable code more cheaply and more consistently.
Two hospitals, a tenfold range in human errors per thousand patient days across units, a significant correlation pointing the wrong way, and a blind observer finding the units differed in whether people felt able to talk about mistakes.
Weinberg's mechanism is one person's ego attachment to an artefact he owns, which predicts variation between people; Edmondson's is an interpersonal calculation about a specific audience, which predicts variation between two units of the same firm — and that is the version that replicated.
Wrzesniewski × Frankl
Who is doing the work
crafting is driven by control over the work, a positive image of oneself, and connection to other people
people last longer when something outside themselves is waiting on them, and apathy is the shell that forms when nothing is
the three-need model, argued from Adler, Braverman, Rogers's temporary workers and Baumeister and Leary, with six field studies of ordinary jobs as illustration
the two men turned back from suicide, and the observation confirmed since in studies of confinement and unemployment
Frankl's prisoners can touch neither the work nor the people around them, so the need is met by an object of contemplation and by someone waiting outside the camp; Wrzesniewski's employees meet it by moving the task and relational boundaries themselves, which is the move the camp removes.
Wrzesniewski × Karma Yoga
Who is doing the work
the same job description produced two jobs, because the cleaners moved the task, relational and cognitive boundaries
the same work done as a slave or as a master is the same work, and only the doer is altered
twenty-eight cleaners in one hospital under one job description, one group doing the minimum and one counting itself part of healing
the ninety-nine in a hundred who work as slaves, and the mark of love as work that brings no painful reaction
The cleaners actually moved the task and relational boundaries, and the paper says the new meaning followed that move; Vivekananda insists the world comes back unchanged like the dog's tail and only the worker is altered.