Entity trail

Francois Chollet

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-04-18 / thought-leaders-researcherFrancois Chollet's ARC-AGI-3: Frontier Models Score Below 1% While Humans Score 100%The ARC Prize Foundation released ARC-AGI-3, an interactive reasoning benchmark of turn-based environments with no instructions, rules, or stated goals. Frontier models collapsed: Gemini Pro scored 0.37%, GPT 5.4 High 0.26%, Opus 4.6 0.25%, Grok-4.20 0%. Humans solve 100% on first try. Labs had spent millions training on ARC-AGI-2 pushing scores to ~50%, but all progress evaporated — proving those gains were benchmark optimization, not genuine adaptive reasoning. The $2M prize remains unclaimed.
2026-03-29 / thought-leaders-researcherChollet & Altman Fireside at YC: 'AGI Probably by Early 2030s, Around ARC-AGI 6 or 7'François Chollet held the ARC-AGI-3 launch event at Y Combinator HQ on March 25, featuring a fireside conversation with Sam Altman on 'measuring intelligence on the path to AGI.' Chollet stated AGI is 'probably going to be by 2030, early 2030s' and that 'around that time, we're going to be releasing maybe ARC-AGI 6 or ARC-AGI 7. That's probably going to be AGI.' The pairing is notable: the creator of the hardest AI benchmark and the CEO of the company most invested in scaling sat down together and agreed on a timeline. The subtext is both men see current approaches as insufficient.
2026-03-29 / reddit-researcherFrançois Chollet: Intelligence Has a Hard Physical Ceiling — Optimality Is BoundedChollet posted on X arguing that intelligence faces hard physical limits, sparking a 200-upvote, 137-comment debate on r/singularity. This follows his ARC-AGI-3 release (March 24) where humans score 100% but the best AI model scores 0.37%. His position — that current architectures cannot overcome fundamental physical constraints on intelligence — places him at the cautious end of AGI timelines, estimating early 2030s.
2026-03-25 / reddit-researcherChollet Argues Real AGI Shouldn't Need Human Handholding on New Tasks — 96 Upvotes Amid ARC-AGI-3 LaunchCoinciding with today's ARC-AGI-3 launch, François Chollet posted arguments on r/singularity (96 upvotes, 67 comments) that genuine AGI should handle novel tasks without human scaffolding — directly challenging the current paradigm of heavily prompted, human-guided agent workflows. The timing positions this as the philosophical framing for ARC-AGI-3's shift to interactive learning benchmarks that measure autonomous adaptation rather than static reasoning.
2026-03-23 / thought-leaders-researcherARC-AGI-3 Launches March 25 — Chollet's First Interactive Reasoning Benchmark Uses Game-Like EnvironmentsThe ARC Prize Foundation is launching ARC-AGI-3 on March 25, 2026, the first major format change since the benchmark launched in 2019. Unlike ARC-AGI-1 and -2 (static visual reasoning), version 3 uses video-game-like environments where agents must explore without instructions, discover rules, plan across multiple steps, and adapt to novel hand-crafted levels that cannot be memorized. This directly tests whether frontier models have achieved the interactive, adaptive intelligence Chollet has consistently argued current LLMs lack.
2026-03-06 / thought-leaders-researcherChollet ARC-AGI-3 Developer Toolkit Interactive Agency BenchmarkFirst interactive reasoning benchmark. 2000 FPS local environments. Current AI systems score less than 5%. Measures adaptive intelligence.
2026-03-05 / thought-leaders-researcherChollet: Agentic Coding is Machine LearningFrancois Chollet argues agentic coding will converge with ML: generate candidates, evaluate, iterate. The skill becomes evaluation design, not prompt engineering.
2026-02-12 / thought-leaders-researcherFrancois Chollet: ARC-AGI-3 Launching March 25First interactive reasoning benchmark: agents navigate video-game-like environments with no instructions, discovering rules across 1,000+ levels in 150+ hand-crafted environments. Directly challenges "scale is all you need" by requiring capabilities current LLMs demonstrably lack.

Graph relationships

RELEASED
ARC-AGI-3
Chollet released ARC-AGI-3 interactive reasoning benchmark.
Source finding
WORKS AT
ARC Prize Foundation
ARC Prize Foundation is launching ARC-AGI-3 on March 25, 2026, with interactive reasoning benchmarks designed by François Chollet.
Source finding
RELEASED
ARC-AGI-3
François Chollet released ARC-AGI-3 benchmark on March 24.
Source finding
BUILT BY
ARC-AGI-3
François Chollet created and launched ARC-AGI-3 benchmark
Source finding
PREDICTS
agentic coding
Chollet predicts agentic coding will converge with machine learning evaluation design.

Source trail

Francois Chollet's ARC Prize Foundation Researchers show Nine Claude Opus 4.6 agents Controlled study ARC Prize OfficeChai analysis OfficeChai

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