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← The biggest limitation for AI is imagination and creativity, not the technology itself.
17 connected korrents · 14 moments from 5 Dec 2022 to 2 Oct 2026.
Everything filed under LLMs
LLMs 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 limitation for AI is imagination and creativity, not the technology itself. 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: Even when AI is capable of performing a job, it may not be permitted to do so. — tap to centre the map on it Even when AI is capable of performing a job, it may not be permitted to do so. Last stated a month ago
1 Sept 2026
NM
Nick Maggiulli — holds since 2026-09-01 — tap for who they are
Same subject: AI excels at certain tasks but cannot substitute for human thinking. — tap to centre the map on it AI excels at certain tasks but cannot substitute for human thinking. Last stated a month ago
1 Sept 2026
NM
Nick Maggiulli — holds since 2026-09-01 — tap for who they are
Same subject: The biggest constraint on building AI products is people's ability to understand and absorb what they are given. — tap to centre the map on it 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 'machine god' metaphor for AI is unhelpful and limits thinking about the technology. — tap to centre the map on it The 'machine god' metaphor for AI is unhelpful and limits thinking about the technology. Last stated a week ago
22 Sept 2026
BD
Brad DeLong — holds since 2026-09-22 — tap for who they are
Same subject: Many systems rely on human limitations that will be exposed as AI advances — tap to centre the map on it Many systems rely on human limitations that will be exposed as AI advances Last stated today
2 Oct 2026
PG
Paul Graham — holds since 2026-10-02 — 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: There is no natural, clear dividing line between AI and other kinds of software. — tap to centre the map on it There is no natural, clear dividing line between AI and other kinds of software. Last stated 3 weeks ago
8 Sept 2026
RH
Robin Hanson — holds since 2026-09-08 — tap for who they are
Same subject: AI will be more creative than humans — tap to centre the map on it AI will be more creative than humans Last stated 4 years ago
5 Dec 2022
DH
David Heinemeier Hansson — holds since 2022-12-05 — tap for who they are
Same subject: AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right. — tap to centre the map on it AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right. Last stated 4 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
Same subject: Language models will not replace good ideas, only the low-level work, so what they threaten is the ability to start a creative career rather than to have one. — tap to centre the map on it Language models will not replace good ideas, only the low-level work, so what they threaten is the ability to start a creative career rather than to have one. Last stated 11 months ago
31 Oct 2025
DH
Dan Houser — holds since 2025-10-31 — tap for who they are
Same subject: The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself. — tap to centre the map on it The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself. Last stated 6 months ago
20 Mar 2026
AK
Arvid Kahl — holds since 2026-03-20 — 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 5 months ago
3 May 2026
YX
Yihui Xie — holds since 2026-05-03 — tap for who they are
Same subject: The primary assets for success in consumer AI are not the AI models themselves, but rather factors like default placement, brand, habit, proprietary data, and effective product loops. — tap to centre the map on it The primary assets for success in consumer AI are not the AI models themselves, but rather factors like default placement, brand, habit, proprietary data, and effective product loops. Last stated a week ago
22 Sept 2026
BD
Brad DeLong — holds since 2026-09-22 — tap for who they are
Same subject: Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. — tap to centre the map on it Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. Last stated 2 months ago
3 Aug 2026
JC
Jack Clark — holds since 2026-08-03 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. — tap to centre the map on it AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. Last stated 3 weeks ago
10 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-10 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
At the centre
The biggest limitation for AI is imagination and creativity, not the technology itself.
Holds Read this korrent →
Even when AI is capable of performing a job, it may not be permitted to do so.
Holds
AI excels at certain tasks but cannot substitute for human thinking.
Holds
The biggest constraint on building AI products is people's ability to understand and absorb what they are given.
Holds
The 'machine god' metaphor for AI is unhelpful and limits thinking about the technology.
Holds
Many systems rely on human limitations that will be exposed as AI advances
Holds
People often seem to focus on what AI can execute and not on what it can teach them.
Holds
There is no natural, clear dividing line between AI and other kinds of software.
Holds
AI will be more creative than humans
Holds
AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right.
Holds
Language models will not replace good ideas, only the low-level work, so what they threaten is the ability to start a creative career rather than to have one.
Holds
The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself.
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
The primary assets for success in consumer AI are not the AI models themselves, but rather factors like default placement, brand, habit, proprietary data, and effective product loops.
Holds
Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds