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← Progress toward more intelligent artificial systems requires defining…
17 connected korrents · 13 moments on record from 5 Nov 2019 to 3 Sept 2026.
Everything filed under measuring intelligence
measuring intelligence
Everything filed under neural networks
neural networks
Everything filed under OpenAI
OpenAI
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AGI
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AI alignment
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startups
Everything filed under AI agents
AI agents
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team size 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: Progress toward more intelligent artificial systems requires defining and evaluating intelligence so systems can be compared with each other and with humans. Progress toward more intelligent artificial systems requires defining and evaluating intelligence so systems can be compared with each other and with humans. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers. — tap to centre the map on it Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers. Last stated 2 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — tap for who they are
Same subject: AI systems should be understood as something between airplanes and humans, since it can no longer be assumed they lack humanlike motivations. — tap to centre the map on it AI systems should be understood as something between airplanes and humans, since it can no longer be assumed they lack humanlike motivations. Last stated a week ago
1 Sept 2026
SA
Scott Alexander — holds since 2026-09-01 — tap for who they are
Same subject: AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together. — tap to centre the map on it AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together. Last stated 5 months ago
6 Apr 2026
HT
Helen Toner — holds since 2026-04-06 — tap for who they are
Same subject: Very capable AI will be harder to align than current systems, because the loop of spotting a bad behaviour and patching the training that caused it breaks down. — tap to centre the map on it Very capable AI will be harder to align than current systems, because the loop of spotting a bad behaviour and patching the training that caused it breaks down. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: AI arrived backwards from what its founders expected: instead of a perfect insect mind working up to human, we got a human-level mind that is bad, and are now making it perfect. — tap to centre the map on it AI arrived backwards from what its founders expected: instead of a perfect insect mind working up to human, we got a human-level mind that is bad, and are now making it perfect. Last stated a week ago
3 Sept 2026
PG
Paul Graham — holds since 2026-09-03 — tap for who they are
Same subject: There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. — tap to centre the map on it There is essentially no cognitive task humans do where AI improvement is failing to transfer at all. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. — tap to centre the map on it A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them. — tap to centre the map on it Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them. Last stated 3 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — 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 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — 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 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. — tap to centre the map on it If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience. — tap to centre the map on it Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. — tap to centre the map on it The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 10 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job. — tap to centre the map on it An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job. Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. — tap to centre the map on it Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
At the centre
Progress toward more intelligent artificial systems requires defining and evaluating intelligence so systems can be compared with each other and with humans.
Holds Read this korrent →
Judging an AI by how close it is to a human is the mistake: appreciating what it can actually do is both more accurate and better protection against its dangers.
Holds SC Sean Carroll
AI systems should be understood as something between airplanes and humans, since it can no longer be assumed they lack humanlike motivations.
Holds SA Scott Alexander
AI capabilities are jagged rather than smooth, so the different definitions of human-level AI will be met years apart rather than together.
Holds HT Helen Toner
Very capable AI will be harder to align than current systems, because the loop of spotting a bad behaviour and patching the training that caused it breaks down.
Holds RG Ryan Greenblatt
AI arrived backwards from what its founders expected: instead of a perfect insect mind working up to human, we got a human-level mind that is bad, and are now making it perfect.
Holds
There is essentially no cognitive task humans do where AI improvement is failing to transfer at all.
Holds RG Ryan Greenblatt
A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
Holds NF Nicole Forsgren
Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them.
Holds MZ Mark Zuckerberg
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 tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
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
If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks.
Holds
Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience.
Holds
The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job.
Holds
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Holds DH Demis Hassabis