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← The analytical engine gives analysis a new, vast and powerful…
16 connected korrents · 13 moments from 18 Mar 2024 to 23 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under OpenAI
OpenAI
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AI agents 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: The analytical engine gives analysis a new, vast and powerful language, making its truths more quickly and accurately useful to mankind The analytical engine gives analysis a new, vast and powerful language, making its truths more quickly and accurately useful to mankind
AL
Ada Lovelace — holds since c. 1843 — tap for who they are
Same subject: The analytical engine might act on things other than number, and could compose elaborate music if musical relations could be so expressed — tap to centre the map on it The analytical engine might act on things other than number, and could compose elaborate music if musical relations could be so expressed
AL
Ada Lovelace — holds since c. 1843 — tap for who they are
Same subject: The analytical engine cannot originate anything; it can do only what we know how to order it to perform — tap to centre the map on it The analytical engine cannot originate anything; it can do only what we know how to order it to perform
AL
Ada Lovelace — holds since c. 1843 — tap for who they are
Same subject: Polished, confident-sounding AI output does not mean the underlying analysis is clear or correct. — tap to centre the map on it Polished, confident-sounding AI output does not mean the underlying analysis is clear or correct. Last stated a year ago
5 Sept 2025
JE
Jason Evanish — holds since 2025-09-05 — tap for who they are
Same subject: The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes. — tap to centre the map on it The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes. Last stated 3 weeks ago
12 Sept 2026
HF
Henry Farrell — holds since 2026-09-12 — tap for who they are
Same subject: Most future growth in large language models' practical value will come from how they are harnessed and connected to other tools, not from the core models alone. — tap to centre the map on it Most future growth in large language models' practical value will come from how they are harnessed and connected to other tools, not from the core models alone. Last stated 7 months ago
23 Feb 2026
SW
Stephen Wolfram — holds since 2026-02-23 — tap for who they are
Same subject: An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. — tap to centre the map on it An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Existing AI models were already more than good enough for writing code and do more than can be utilized from them. — tap to centre the map on it Existing AI models were already more than good enough for writing code and do more than can be utilized from them. Last stated 4 weeks ago
8 Sept 2026
GO
Gergely Orosz — holds since 2026-09-08 — 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 deep theoretical understanding to predict AI behavior is unattainable. — tap to centre the map on it A deep theoretical understanding to predict AI behavior is unattainable. Last stated a week ago
23 Sept 2026
TC
Tyler Cowen — holds since 2026-09-23 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated a month ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — 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 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 4 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 10 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 3 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
At the centre
The analytical engine gives analysis a new, vast and powerful language, making its truths more quickly and accurately useful to mankind
Last stated c. 1843
Holds Read this korrent →
The analytical engine might act on things other than number, and could compose elaborate music if musical relations could be so expressed
Last stated c. 1843
Holds
The analytical engine cannot originate anything; it can do only what we know how to order it to perform
Last stated c. 1843
Holds
Polished, confident-sounding AI output does not mean the underlying analysis is clear or correct.
Holds
The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes.
Holds
Most future growth in large language models' practical value will come from how they are harnessed and connected to other tools, not from the core models alone.
Holds
An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient.
Holds
Existing AI models were already more than good enough for writing code and do more than can be utilized from them.
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 deep theoretical understanding to predict AI behavior is unattainable.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
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
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
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.
Holds