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← New AI-first applications will emerge in 2024, shifting the focus up the stack.
17 connected korrents · 17 moments from 1 Jan 2024 to 21 Sept 2026. Nearly all of them are about Google and OpenAI .
Everything filed under Anthropic
Anthropic
Everything filed under AI alignment
AI alignment
Everything filed under coding agents
coding agents
Everything filed under scaling laws
scaling laws
Everything filed under LLMs
LLMs
Everything filed under chat interfaces
chat interfaces 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: New AI-first applications will emerge in 2024, shifting the focus up the stack. New AI-first applications will emerge in 2024, shifting the focus up the stack. Last stated 3 years ago
1 Jan 2024
FW
Fred Wilson — holds since 2024-01-01 — tap for who they are
Same subject: Frontier AI models are consolidating into an oligopoly held by a small number of large players. — tap to centre the map on it Frontier AI models are consolidating into an oligopoly held by a small number of large players. Last stated 3 years ago
21 Feb 2024
EG
Elad Gil — holds since 2024-02-21 — tap for who they are
Same subject: Google is behind in the personal AI assistant space. — tap to centre the map on it Google is behind in the personal AI assistant space. Last stated a month ago
21 Sept 2026
MS
M.G. Siegler — holds since 2026-09-21 — tap for who they are
Same subject: Many employees at major AI labs earnestly believe humans may go extinct by the end of the decade. — tap to centre the map on it Many employees at major AI labs earnestly believe humans may go extinct by the end of the decade. Last stated a month ago
11 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-11 — tap for who they are
Same subject: The moral debt for AI's capabilities is owed to the authors of the public data used to train it, not to the AI companies. — tap to centre the map on it The moral debt for AI's capabilities is owed to the authors of the public data used to train it, not to the AI companies. Last stated 6 months ago
3 May 2026
YX
Yihui Xie — holds since 2026-05-03 — tap for who they are
Same subject: Agents are going to be incorporated into mainstream interfaces — tap to centre the map on it Agents are going to be incorporated into mainstream interfaces Last stated 7 months ago
25 Mar 2026
DH
David Heinemeier Hansson — holds since 2026-03-25 — tap for who they are
Same subject: Chatbot interfaces are the wrong tool for meaningful coding work, because you are mostly hoping the model recalls the right answer and correcting it requires a human in the loop. — tap to centre the map on it Chatbot interfaces are the wrong tool for meaningful coding work, because you are mostly hoping the model recalls the right answer and correcting it requires a human in the loop. Last stated 9 months ago
5 Feb 2026
MH
Mitchell Hashimoto — holds since 2026-02-05 — tap for who they are
Same subject: Google had the data, the technology and the engineers to ship ChatGPT in 2019, and bureaucracy alone is why it did not. — tap to centre the map on it Google had the data, the technology and the engineers to ship ChatGPT in 2019, and bureaucracy alone is why it did not. Last stated 2 years ago
20 Aug 2024
PL
Pieter Levels — holds since 2024-08-20 — tap for who they are
Same subject: OpenAI's 2022 bet on GPT-4 was a larger gamble than any training run since: all of its compute, for months, on an architecture nobody at Google believed in. — tap to centre the map on it OpenAI's 2022 bet on GPT-4 was a larger gamble than any training run since: all of its compute, for months, on an architecture nobody at Google believed in. Last stated 2 years ago
3 Feb 2025
DP
Dylan Patel — holds since 2025-02-03 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — 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 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 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — 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: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — 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
New AI-first applications will emerge in 2024, shifting the focus up the stack.
Holds Read this korrent →
Frontier AI models are consolidating into an oligopoly held by a small number of large players.
Holds
Google is behind in the personal AI assistant space.
Holds
Many employees at major AI labs earnestly believe humans may go extinct by the end of the decade.
Holds
The moral debt for AI's capabilities is owed to the authors of the public data used to train it, not to the AI companies.
Holds
Agents are going to be incorporated into mainstream interfaces
Holds
Chatbot interfaces are the wrong tool for meaningful coding work, because you are mostly hoping the model recalls the right answer and correcting it requires a human in the loop.
Holds
Google had the data, the technology and the engineers to ship ChatGPT in 2019, and bureaucracy alone is why it did not.
Holds
OpenAI's 2022 bet on GPT-4 was a larger gamble than any training run since: all of its compute, for months, on an architecture nobody at Google believed in.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
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
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
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