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← Laboratory paradigms in judgment and decision-making research rely on novel, artificial tasks that exclude expertise
15 connected korrents · 16 moments from 18 Mar 2024 to 21 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under AI and science
AI and science
Everything filed under OpenAI
OpenAI
Everything filed under energy
energy
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Read this korrent: Laboratory paradigms in judgment and decision-making research rely on novel, artificial tasks that exclude expertise
Laboratory paradigms in judgment and decision-making research rely on novel, artificial tasks that exclude expertise
Last stated a month ago
16 Sept 2026
GK
Gary Klein — holds since 2026-09-16 — tap for who they are
Same subject: Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. — tap to centre the map on it
Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking.
Last stated 3 months ago
3 Aug 2026
JC
Jack Clark — holds since 2026-08-03 — tap for who they are
Same subject: The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. — tap to centre the map on it
The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so.
Last stated 5 months ago
27 May 2026
DL
Derek Lowe — holds since 2026-05-27 — tap for who they are
Same subject: Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. — tap to centre the map on it
Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it.
Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: The least verifiable part of AI research is the judgement call about what goes into the one big training run. — tap to centre the map on it
The least verifiable part of AI research is the judgement call about what goes into the one big training run.
Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: When not an expert in an area, one tends to trust AI and later learns it does stupid stuff. — tap to centre the map on it
When not an expert in an area, one tends to trust AI and later learns it does stupid stuff.
Last stated 5 days ago
19 Oct 2026
GO
Gergely Orosz — holds since 2026-10-19 — tap for who they are
Same subject: AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality. — tap to centre the map on it
AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality.
Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Last stated 3 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are
At the centre
Laboratory paradigms in judgment and decision-making research rely on novel, artificial tasks that exclude expertise
Last stated 16 Sept 2026 · a month ago
Holds Gary Klein
Read this korrent →
Similar wording
Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking.
Last stated 3 Aug 2026 · 3 months ago
Holds Jack Clark
Similar wording
The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so.
Last stated 27 May 2026 · 5 months ago
Holds Derek Lowe
Similar wording
Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it.
Last stated 19 Sept 2024 · 2 years ago
Holds Derek Lowe
Similar wording
The least verifiable part of AI research is the judgement call about what goes into the one big training run.
Last stated 11 Aug 2026 · 2 months ago
Holds Ryan Greenblatt
Similar wording
When not an expert in an area, one tends to trust AI and later learns it does stupid stuff.
Last stated 19 Oct 2026 · 5 days ago
Holds Gergely Orosz
Similar wording
AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality.
Last stated 8 Jan 2026 · 9 months ago
Holds Jensen Huang
Same subject: LLMs
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 1 Jan 2026 · 10 months ago
Holds Jason Lemkin
Same subject: LLMs
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 15 Jul 2026 · 3 months ago
Holds Dex Horthy
Same subject: LLMs
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · a month ago
Holds Patrick Collison
Same subject: OpenAI
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Last stated 21 Oct 2026 · 3 days ago
Holds Peter Steinberger
Same subject: OpenAI
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Last stated 18 Mar 2024 · 3 years ago
Holds Sam Altman
Same subject: OpenAI
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Last stated 12 Feb 2026 · 8 months ago
Holds Andrej Karpathy
Same subject: scaling laws
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 25 Nov 2025 · 11 months ago
Holds Ilya Sutskever
Same subject: scaling laws
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Last stated 26 Jun 2026 · 4 months ago
Holds Noam Brown
Same subject: scaling laws
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Last stated 13 Mar 2026 · 7 months ago
Holds Dylan Patel