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← Eventually AI models, perhaps millions working together, may be able to do the work of whole human organizations.
17 connected korrents · 15 moments from 8 Nov 2024 to 17 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under coding agents
coding agents
Everything filed under scaling laws
scaling laws
Everything filed under AI and jobs
AI and jobs
Everything filed under AI alignment
AI alignment
Everything filed under AI agents
AI agents
Everything filed under agency
agency 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: Eventually AI models, perhaps millions working together, may be able to do the work of whole human organizations. Eventually AI models, perhaps millions working together, may be able to do the work of whole human organizations. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated 12 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too. — tap to centre the map on it Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too. Last stated 2 years ago
8 Nov 2024
JL
Jan Leike — holds since 2024-11-08 — tap for who they are
Same subject: Realizing AI's potential to expand human potential requires humans and AI working together, not AI acting alone. — tap to centre the map on it Realizing AI's potential to expand human potential requires humans and AI working together, not AI acting alone. Last stated 3 months ago
6 Jul 2026
TF
Tiago Forte — holds since 2026-07-06 — tap for who they are
Same subject: The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. — tap to centre the map on it The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. Last stated a month ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: AI models need to arrive with the context of someone who has worked inside an organisation for years, not a blank slate. — tap to centre the map on it AI models need to arrive with the context of someone who has worked inside an organisation for years, not a blank slate. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — tap for who they are
Same subject: A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do. — tap to centre the map on it A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do. Last stated a month ago
7 Sept 2026
NS
Noah Smith — holds since 2026-09-07 — tap for who they are
Same subject: Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company. — tap to centre the map on it Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company. Last stated a month ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: For the most advanced tasks, humans will be needed in the loop for now. — tap to centre the map on it For the most advanced tasks, humans will be needed in the loop for now. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — 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 9 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 3 weeks ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. Last stated 7 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. — tap to centre the map on it A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — 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 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
At the centre
Eventually AI models, perhaps millions working together, may be able to do the work of whole human organizations.
Holds Read this korrent →
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
Human oversight of AI behaviour is already intractable at the volume models produce, so the overseers have to be models too.
Holds
Realizing AI's potential to expand human potential requires humans and AI working together, not AI acting alone.
Holds
The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI.
Holds
AI models need to arrive with the context of someone who has worked inside an organisation for years, not a blank slate.
Holds
A likely outcome is that many occupations are eventually mostly replaced by AI while humans still have plenty to do.
Holds
Companies will probably come to run on a cascade of AI loops, from a loop per person up to loops that run large parts of the company.
Holds
For the most advanced tasks, humans will be needed in the loop for now.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
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.
Holds
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.
Holds
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Holds
A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
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