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← In an intellectually dead research field, feeding AI decades of…
17 connected korrents · 17 moments from 18 Sept 2024 to 22 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under AI slop
AI slop
Everything filed under scaling laws
scaling laws
Everything filed under mathematics
mathematics
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under AI and jobs
AI and jobs
Everything filed under LLMs
LLMs
Everything filed under AGI
AGI 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: In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output. In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output. Last stated 2 months ago
26 Jul 2026
PW
Peter Woit — holds since 2026-07-26 — tap for who they are
Same subject: AI has driven the cost of generating scientific ideas to almost zero, and just as with cheap communication before it, that by itself creates no abundance. — tap to centre the map on it AI has driven the cost of generating scientific ideas to almost zero, and just as with cheap communication before it, that by itself creates no abundance. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: Once AI can do AI research, a single year should deliver four or five years worth of AI progress. — tap to centre the map on it Once AI can do AI research, a single year should deliver four or five years worth of AI progress. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. — tap to centre the map on it The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. Last stated a week ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: Economics cannot say what AI will do to work because the necessary data does not exist; what is needed is a Manhattan Project for data. — tap to centre the map on it Economics cannot say what AI will do to work because the necessary data does not exist; what is needed is a Manhattan Project for data. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. — tap to centre the map on it A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it. — tap to centre the map on it We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it. — tap to centre the map on it It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job. — tap to centre the map on it Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: A growing fraction of social media is AI slop influencers being replied to by bots — an echo of an echo of an echo. — tap to centre the map on it A growing fraction of social media is AI slop influencers being replied to by bots — an echo of an echo of an echo. Last stated a month ago
23 Aug 2026
FC
François Chollet — holds since 2026-08-23 — tap for who they are
Same subject: A low-effort AI-designed landing page costs a product its audience before the product itself is ever judged. — tap to centre the map on it A low-effort AI-designed landing page costs a product its audience before the product itself is ever judged. Last stated 2 months ago
13 Aug 2026
MH
Mitchell Hashimoto — holds since 2026-08-13 — tap for who they are
Same subject: AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. — tap to centre the map on it AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results. Last stated 8 months ago
9 Feb 2026
SH
Scott Hanselman — holds since 2026-02-09 — tap for who they are
Same subject: AI-generated junk papers risk overwhelming the hep-th physics field with worthless content. — tap to centre the map on it AI-generated junk papers risk overwhelming the hep-th physics field with worthless content. Last stated 3 months ago
15 Jul 2026
PW
Peter Woit — holds since 2026-07-15 — tap for who they are
Same subject: AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs. — tap to centre the map on it AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs. Last stated a month ago
31 Aug 2026
EM
Ethan Mollick — holds since 2026-08-31 — tap for who they are
Same subject: An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. — tap to centre the map on it An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. Last stated 2 years ago
18 Sept 2024
DH
David Heinemeier Hansson — holds since 2024-09-18 — 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
In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output.
Holds Read this korrent →
AI has driven the cost of generating scientific ideas to almost zero, and just as with cheap communication before it, that by itself creates no abundance.
Holds
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output.
Holds
Economics cannot say what AI will do to work because the necessary data does not exist; what is needed is a Manhattan Project for data.
Holds
A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months.
Holds
We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it.
Holds
It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it.
Holds
Within a decade AI will do the bulk of what mathematicians spend their time on, and we will discover that was never the important part of the job.
Holds
A growing fraction of social media is AI slop influencers being replied to by bots — an echo of an echo of an echo.
Holds
A low-effort AI-designed landing page costs a product its audience before the product itself is ever judged.
Holds
AI-assisted coding will generate a lot of low-quality output that developers will need to clean up, even as it also produces good results.
Holds
AI-generated junk papers risk overwhelming the hep-th physics field with worthless content.
Holds
AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs.
Holds
An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one.
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