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← The biggest constraint on building AI products is people's ability to understand and absorb what they are given.
17 connected korrents · 14 moments from 18 Mar 2024 to 27 Sept 2026.
Everything filed under ideas vs execution
ideas vs execution
Everything filed under OpenAI
OpenAI
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scaling laws
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semiconductors
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LLMs
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AI alignment
Everything filed under software performance
software performance
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: The biggest constraint on building AI products is people's ability to understand and absorb what they are given. The biggest constraint on building AI products is people's ability to understand and absorb what they are given. Last stated 3 weeks ago
10 Sept 2026
NY
Nan Yu — holds since 2026-09-10 — tap for who they are
Same subject: The biggest limitation for AI is imagination and creativity, not the technology itself. — tap to centre the map on it The biggest limitation for AI is imagination and creativity, not the technology itself. Last stated a week ago
25 Sept 2026
PS
Peter Steinberger — holds since 2026-09-25 — tap for who they are
Same subject: People often seem to focus on what AI can execute and not on what it can teach them. — tap to centre the map on it People often seem to focus on what AI can execute and not on what it can teach them. Last stated 3 weeks ago
10 Sept 2026
KS
Karri Saarinen — holds since 2026-09-10 — tap for who they are
Same subject: The binding constraints on AI's growth are power, helium and memory — and almost nobody has noticed the helium one. — tap to centre the map on it The binding constraints on AI's growth are power, helium and memory — and almost nobody has noticed the helium one. Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: People cannot fully specify what they want from an AI system without first observing how it behaves. — tap to centre the map on it People cannot fully specify what they want from an AI system without first observing how it behaves. Last stated 2 weeks ago
18 Sept 2026
HH
Hamel Husain — holds since 2026-09-18 — tap for who they are
Same subject: No one fully understands the consequences of how capable AI is becoming. — tap to centre the map on it No one fully understands the consequences of how capable AI is becoming. Last stated a month ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: People building with AI need a point of view of their own, or the AI will supply one. — tap to centre the map on it People building with AI need a point of view of their own, or the AI will supply one. Last stated 3 weeks ago
10 Sept 2026
KD
Katie Dill — holds since 2026-09-10 — tap for who they are
Same subject: Computing is an onion, and the more layers of it you can peel back and understand, the better you can build for the constrained machines real people are using. — tap to centre the map on it Computing is an onion, and the more layers of it you can peel back and understand, the better you can build for the constrained machines real people are using. Last stated a month ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: The long-run equilibrium with powerful AI may require people to merge with it, so that whatever the AI understands is transmitted wholesale to its human. — tap to centre the map on it The long-run equilibrium with powerful AI may require people to merge with it, so that whatever the AI understands is transmitted wholesale to its human. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A film's script and direction must be of a sufficient quality to support its complex plot. — tap to centre the map on it A film's script and direction must be of a sufficient quality to support its complex plot. Last stated 5 days ago
27 Sept 2026
JS
John Scalzi — holds since 2026-09-27 — tap for who they are
Same subject: A good idea often fails to spread not for lack of merit but because no convenient way exists to implement it. — tap to centre the map on it A good idea often fails to spread not for lack of merit but because no convenient way exists to implement it. Last stated 4 months ago
7 Jun 2026
SR
Scott Rao — holds since 2026-06-07 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 4 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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
The biggest constraint on building AI products is people's ability to understand and absorb what they are given.
Holds Read this korrent →
The biggest limitation for AI is imagination and creativity, not the technology itself.
Holds
People often seem to focus on what AI can execute and not on what it can teach them.
Holds
The binding constraints on AI's growth are power, helium and memory — and almost nobody has noticed the helium one.
Holds
People cannot fully specify what they want from an AI system without first observing how it behaves.
Holds
No one fully understands the consequences of how capable AI is becoming.
Holds
People building with AI need a point of view of their own, or the AI will supply one.
Holds
Computing is an onion, and the more layers of it you can peel back and understand, the better you can build for the constrained machines real people are using.
Holds
The long-run equilibrium with powerful AI may require people to merge with it, so that whatever the AI understands is transmitted wholesale to its human.
Holds
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds
A film's script and direction must be of a sufficient quality to support its complex plot.
Holds
A good idea often fails to spread not for lack of merit but because no convenient way exists to implement it.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
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