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← Biased reasoning and recklessness in AI systems are intermediate…
17 connected korrents · 19 moments on record from 7 Sept 2008 to 19 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under scaling laws
scaling laws
Everything filed under metascience
metascience
Everything filed under reinforcement learning
reinforcement learning
Everything filed under LLMs
LLMs Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Biased reasoning and recklessness in AI systems are intermediate symptoms, neither the cause nor the final result. Biased reasoning and recklessness in AI systems are intermediate symptoms, neither the cause nor the final result. Last stated today
19 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-19 — tap for who they are
Same subject: Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading. — tap to centre the map on it Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Even well-informed AI insiders frequently develop something like "AI psychosis" from engaging with these ideas. — tap to centre the map on it Even well-informed AI insiders frequently develop something like "AI psychosis" from engaging with these ideas. Last stated 3 weeks ago
31 Aug 2026
TC
Tyler Cowen — holds since 2026-08-31 — tap for who they are
Same subject: Decision-bias research is itself biased, studying only how heuristics fail and never the strength they supply. — tap to centre the map on it Decision-bias research is itself biased, studying only how heuristics fail and never the strength they supply. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all. — tap to centre the map on it Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true. — tap to centre the map on it The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true. Last stated 3 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between. — tap to centre the map on it Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between. Last stated 3 months ago
10 Jun 2026
RD
Ray Dalio — holds since 2026-06-10 — tap for who they are
Same subject: AIs past this point should not be assumed to treat their chain of thought as unmonitored. — tap to centre the map on it AIs past this point should not be assumed to treat their chain of thought as unmonitored. Last stated today
19 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-19 — tap for who they are
Same subject: Anyone outside a frontier lab will find their judgment about AI drifting, because the systems are opaque and what is coming is not visible from outside. — tap to centre the map on it Anyone outside a frontier lab will find their judgment about AI drifting, because the systems are opaque and what is coming is not visible from outside. Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A model may have a worldview of its own, but it can never be placed above a person under any circumstance. — tap to centre the map on it A model may have a worldview of its own, but it can never be placed above a person under any circumstance. Last stated 4 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 2 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model. — tap to centre the map on it An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model. Last stated 2 months ago
22 Jul 2026
TP
Thomas Ptacek — holds since 2026-07-22 — tap for who they are
Same subject: Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. — tap to centre the map on it Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. Last stated 3 years ago
13 Dec 2023
SA
Scott Aaronson — holds since 2008-09-07 — tap for who they are
SA
Scott Aaronson — no longer holds since 2023-12-13 — tap for who they are
Same subject: Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. — tap to centre the map on it Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us. Last stated a year ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Same subject: Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. — tap to centre the map on it Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. Last stated a year ago
1 Apr 2025
HT
Helen Toner — holds since 2025-04-01 — tap for who they are
MB
Miles Brundage — holds since 2024-12-20 — tap for who they are
Same subject: Arguing about whether superintelligence arrives in two years or five is close to a waste of time, because very powerful models are inevitable either way. — tap to centre the map on it Arguing about whether superintelligence arrives in two years or five is close to a waste of time, because very powerful models are inevitable either way. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
At the centre
Biased reasoning and recklessness in AI systems are intermediate symptoms, neither the cause nor the final result.
Holds Read this korrent →
Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading.
Holds
Even well-informed AI insiders frequently develop something like "AI psychosis" from engaging with these ideas.
Holds
Decision-bias research is itself biased, studying only how heuristics fail and never the strength they supply.
Holds
Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all.
Holds
The two standard criticisms of AI — that it is not deterministic and that it is not creative — cannot both be true.
Holds
Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between.
Holds
AIs past this point should not be assumed to treat their chain of thought as unmonitored.
Holds
Anyone outside a frontier lab will find their judgment about AI drifting, because the systems are opaque and what is coming is not visible from outside.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Holds
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model.
Holds
Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it.
No longer holds
Adapting over time is a workable answer to humans misusing AI and no answer at all to losing control of systems smarter than us.
Holds
Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe.
Holds
Arguing about whether superintelligence arrives in two years or five is close to a waste of time, because very powerful models are inevitable either way.
Holds