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← The Abstraction and Reasoning Corpus can measure human-like general…
17 connected korrents · 15 moments from 3 Oct 2012 to 16 Oct 2026. Nearly all of them are about measuring intelligence .
Everything filed under ARC-AGI
ARC-AGI
Everything filed under benchmarks
benchmarks
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 Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. 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: Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence. — tap to centre the map on it Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence. Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: AGI research made no progress in its first six decades. — tap to centre the map on it AGI research made no progress in its first six decades. Last stated 14 years ago
3 Oct 2012
DD
David Deutsch — holds since 2012-10-03 — tap for who they are
Same subject: An AI that cannot name the problems it can solve falls short of general intelligence — tap to centre the map on it An AI that cannot name the problems it can solve falls short of general intelligence Last stated a year ago
3 Oct 2025
SF
Sadayuki Furuhashi — holds since 2025-10-03 — tap for who they are
Same subject: General intelligence (g) reflects an overall pool of neural resources rooted in whole-body developmental integrity, making it a large mutational target rather than a distinct cognitive module. — tap to centre the map on it General intelligence (g) reflects an overall pool of neural resources rooted in whole-body developmental integrity, making it a large mutational target rather than a distinct cognitive module. Last stated 5 years ago
11 Jun 2021
GW
Gwern — holds since 2021-06-11 — tap for who they are
Same subject: Healthcare may be the industry where AI has the greatest positive impact on the average person. — tap to centre the map on it Healthcare may be the industry where AI has the greatest positive impact on the average person. Last stated 5 months ago
26 May 2026
RW
Robert Wachter — holds since 2026-05-26 — tap for who they are
Same subject: High performers possess an initial edge that leads to increasing returns to scale through harder work and skill acquisition. — tap to centre the map on it High performers possess an initial edge that leads to increasing returns to scale through harder work and skill acquisition. Last stated a week ago
16 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-16 — 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: 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 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old. — tap to centre the map on it A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old. Last stated 3 years ago
19 Dec 2023
PK
Philip Koopman — holds since 2023-12-19 — tap for who they are
Same subject: A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. — tap to centre the map on it A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Language models perform better on benchmark problems released before their training data cutoff, indicating data contamination inflates scores. — tap to centre the map on it Language models perform better on benchmark problems released before their training data cutoff, indicating data contamination inflates scores. Last stated 2 years ago
13 May 2024
SR
Sebastian Ruder — holds since 2024-05-13 — tap for who they are
Same subject: Model comparisons understate real progress, because benchmark tables do not control for how much test-time compute each answer used. — tap to centre the map on it Model comparisons understate real progress, because benchmark tables do not control for how much test-time compute each answer used. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. Last stated a month ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: Impressive one-shot AI coding demos are not a good way to judge AI coding ability. — tap to centre the map on it Impressive one-shot AI coding demos are not a good way to judge AI coding ability. Last stated 9 months ago
4 Feb 2026
SH
Scott Hanselman — holds since 2026-02-04 — tap for who they are
At the centre
The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans.
Holds Read this korrent →
Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
AGI research made no progress in its first six decades.
Holds
An AI that cannot name the problems it can solve falls short of general intelligence
Holds
General intelligence (g) reflects an overall pool of neural resources rooted in whole-body developmental integrity, making it a large mutational target rather than a distinct cognitive module.
Holds
Healthcare may be the industry where AI has the greatest positive impact on the average person.
Holds
High performers possess an initial edge that leads to increasing returns to scale through harder work and skill acquisition.
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
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 benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A carmaker's claim to be the safest is mostly an artefact of comparing a new car against a fleet average twelve years old.
Holds
A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget.
Holds
Language models perform better on benchmark problems released before their training data cutoff, indicating data contamination inflates scores.
Holds
Model comparisons understate real progress, because benchmark tables do not control for how much test-time compute each answer used.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
Impressive one-shot AI coding demos are not a good way to judge AI coding ability.
Holds