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← "Lots of anonymous people worked it out by trial and error" is never…
17 connected korrents · 17 moments from 17 Oct 2007 to 18 Sept 2026.
Everything filed under innovation
innovation
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startups
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AI alignment
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AI and science
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scaling laws
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curiosity
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mathematics
Everything filed under behavioural science
behavioural science 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: "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. Last stated 3 years ago
25 Oct 2023
AH
Anton Howes — holds since 2023-10-25 — tap for who they are
Same subject: Young founders who appear to have no track record have almost always been working inside their problem for years already. — tap to centre the map on it Young founders who appear to have no track record have almost always been working inside their problem for years already. Last stated 5 years ago
25 Jan 2022
MA
Marc Andreessen — holds since 2022-01-25 — tap for who they are
Same subject: A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence. — tap to centre the map on it A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. — tap to centre the map on it The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. Last stated 5 months ago
27 May 2026
DL
Derek Lowe — holds since 2026-05-27 — tap for who they are
Same subject: Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch. — tap to centre the map on it Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch. Last stated 3 years ago
28 Sept 2023
MZ
Mark Zuckerberg — holds since 2023-09-28 — tap for who they are
Same subject: The least verifiable part of AI research is the judgement call about what goes into the one big training run. — tap to centre the map on it The least verifiable part of AI research is the judgement call about what goes into the one big training run. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Most people could do the learning behind such a book; it takes curiosity and real interest, not special talent — tap to centre the map on it Most people could do the learning behind such a book; it takes curiosity and real interest, not special talent Last stated 19 years ago
17 Oct 2007
PB
Peter Bevelin — holds since 2007-10-17 — tap for who they are
Same subject: Fully autonomous one-shot attempts are the wrong approach to the great unsolved problems; the mileage is in humans and tools working against each other. — tap to centre the map on it Fully autonomous one-shot attempts are the wrong approach to the great unsolved problems; the mileage is in humans and tools working against each other. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: The moment one cause looks far better than every other on thin information is exactly the moment it most needs sceptical investigation. — tap to centre the map on it The moment one cause looks far better than every other on thin information is exactly the moment it most needs sceptical investigation. Last stated 15 years ago
18 Aug 2011
HK
Holden Karnofsky — holds since 2011-08-18 — tap for who they are
Same subject: A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. — tap to centre the map on it A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. Last stated 5 months ago
2 Jun 2026
JJ
Justin Jackson — holds since 2026-06-02 — tap for who they are
Same subject: A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. — tap to centre the map on it A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. Last stated 3 months ago
21 Jul 2026
RT
Ruxandra Teslo — holds since 2026-07-21 — tap for who they are
Same subject: A codec does not really exist until everyone can decode it. — tap to centre the map on it A codec does not really exist until everyone can decode it. Last stated 5 months ago
31 May 2026
JK
Jean-Baptiste Kempf — holds since 2026-05-31 — tap for who they are
Same subject: A person who works from a recipe, even an innovative one, starts from something that already exists. — tap to centre the map on it A person who works from a recipe, even an innovative one, starts from something that already exists. Last stated 11 years ago
6 Nov 2015
TU
Tim Urban — holds since 2015-11-06 — tap for who they are
Same subject: A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise. — tap to centre the map on it A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise. Last stated a month ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: A too-faithful remake of an existing work squanders creative effort that could have made something new. — tap to centre the map on it A too-faithful remake of an existing work squanders creative effort that could have made something new. Last stated 2 months ago
4 Sept 2026
MW
Matt Webb — holds since 2026-09-04 — tap for who they are
Same subject: A minor bust in the AI industry would be a good thing, not a bad one. — tap to centre the map on it A minor bust in the AI industry would be a good thing, not a bad one. Last stated a month ago
18 Sept 2026
RS
Robin Sloan — holds since 2026-09-18 — tap for who they are
Same subject: AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. — tap to centre the map on it AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement. Last stated 2 months ago
24 Aug 2026
JC
Jack Clark — holds since 2026-08-24 — tap for who they are
Same subject: AI represents the largest change to society in a very long time, perhaps ever. — tap to centre the map on it AI represents the largest change to society in a very long time, perhaps ever. Last stated 6 months ago
10 Apr 2026
SA
Sam Altman — holds since 2026-04-10 — tap for who they are
At the centre
"Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible.
Holds Read this korrent →
Young founders who appear to have no track record have almost always been working inside their problem for years already.
Holds
A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence.
Holds
The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so.
Holds
Building an AI that embodies a real person is a much harder problem than inventing a new AI character from scratch.
Holds
The least verifiable part of AI research is the judgement call about what goes into the one big training run.
Holds
Most people could do the learning behind such a book; it takes curiosity and real interest, not special talent
Holds
Fully autonomous one-shot attempts are the wrong approach to the great unsolved problems; the mileage is in humans and tools working against each other.
Holds
The moment one cause looks far better than every other on thin information is exactly the moment it most needs sceptical investigation.
Holds
A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use.
Holds
A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves.
Holds
A codec does not really exist until everyone can decode it.
Holds
A person who works from a recipe, even an innovative one, starts from something that already exists.
Holds
A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise.
Holds
A too-faithful remake of an existing work squanders creative effort that could have made something new.
Holds
A minor bust in the AI industry would be a good thing, not a bad one.
Holds
AI capability progress in a given skill tends to arrive as a sudden phase change rather than as steady improvement.
Holds
AI represents the largest change to society in a very long time, perhaps ever.
Holds