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← AI researchers have taken over programming; training models is now its forefront.
17 connected korrents · 16 moments from 22 Mar 2025 to 22 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under Anthropic
Anthropic
Everything filed under scaling laws
scaling laws
Everything filed under coding agents
coding agents
Everything filed under LLMs
LLMs
Everything filed under China
China 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: AI researchers have taken over programming; training models is now its forefront. AI researchers have taken over programming; training models is now its forefront. Last stated 8 months ago
19 Feb 2026
NR
Naval Ravikant — holds since 2026-02-19 — tap for who they are
Same subject: AI makes this a golden age for programming and a more level playing field. — tap to centre the map on it AI makes this a golden age for programming and a more level playing field. Last stated 8 months ago
19 Feb 2026
NR
Naval Ravikant — holds since 2026-02-19 — tap for who they are
Same subject: This is the golden age of the junior programmer, because AI is an amplifier and the people learning quickly get amplified most. — tap to centre the map on it This is the golden age of the junior programmer, because AI is an amplifier and the people learning quickly get amplified most. Last stated 6 months ago
7 Apr 2026
KB
Kent Beck — holds since 2026-04-07 — tap for who they are
Same subject: Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. — tap to centre the map on it Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before. Last stated 12 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. — tap to centre the map on it Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. Last stated 6 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. — tap to centre the map on it The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. Last stated 2 weeks ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: AI will not replace the best programmers; it will make them ten times more productive than they are today. — tap to centre the map on it AI will not replace the best programmers; it will make them ten times more productive than they are today. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: AI is dramatically changing how people work and is here to stay. — tap to centre the map on it AI is dramatically changing how people work and is here to stay. Last stated a month ago
2 Sept 2026
SK
Steve Klabnik — holds since 2026-09-02 — tap for who they are
Same subject: Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. — tap to centre the map on it Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — 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 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
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated a month ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A skill is a set of repeatable, specific instructions that augments what Claude Code can do. — tap to centre the map on it A skill is a set of repeatable, specific instructions that augments what Claude Code can do. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it. — tap to centre the map on it A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it. Last stated a month ago
30 Aug 2026
EP
Eliot Peper — holds since 2026-08-30 — tap for who they are
At the centre
AI researchers have taken over programming; training models is now its forefront.
Holds Read this korrent →
AI makes this a golden age for programming and a more level playing field.
Holds
This is the golden age of the junior programmer, because AI is an amplifier and the people learning quickly get amplified most.
Holds
Coding models are worst at exactly the thing an AI research explosion would need: code that has never been written before.
Holds
Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage.
Holds
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
Holds
AI will not replace the best programmers; it will make them ten times more productive than they are today.
Holds
AI is dramatically changing how people work and is here to stay.
Holds
Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever.
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
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Holds
A story's quality depends on whether it engages and satisfies the reader, not on the tool used to write it.
Holds