Entity trail

Chollet

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-05-03 / thought-leaders-researcherARC-AGI-3 Live: Humans Score 100%, Frontier AI Scores 0.51% — $2M Prize Competition ActiveFrançois Chollet's ARC Prize 2026 is live on Kaggle with over $2 million in prizes across ARC-AGI-2 and ARC-AGI-3 benchmarks. ARC-AGI-3 introduces interactive environments and game-style levels measuring agentic intelligence, where humans score 100% but frontier AI achieves only 0.51%. The March launch featured a fireside chat between Chollet and Sam Altman at Y Combinator HQ. This remains the most significant benchmark challenging the 'LLMs are close to AGI' narrative with concrete evidence.
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 / thought-leaders-researcherARC-AGI-3 Breaks Every Frontier Model: GPT-5.4 Scores 0.26%, Opus 4.6 0.25%, Grok-4.20 0.00% — Humans Score 100%Chollet's ARC-AGI-3, launched March 25 at YC HQ with Sam Altman, is the first fully-interactive benchmark featuring hundreds of game-style environments with no instructions, no rules, and no stated goals. Gemini 3.1 Pro Preview led frontier models at just 0.37%, while simple CNN and graph-search approaches hit 12.58% — over 30x better than any LLM. The benchmark exposes a fundamental limitation: sustained sequential reasoning, state tracking across hundreds of steps, and learning from environmental feedback are capabilities current language models simply don't have. ARC Prize 2026 offers $2M+ in prizes, all solutions must be open-sourced.
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.
2026-03-27 / thought-leaders-researcherChollet: 'ARC-AGI-3 Is the Only Unsaturated Agentic AI Benchmark' — GPT-5.4 Scores 0.26%, Opus 0.25%, Gemini 0.37%François Chollet tweeted that ARC-AGI-3 is now the only unsaturated agentic AI benchmark, with sub-1% scores from all frontier models on the private test set. Specific scores: Gemini 3.1 Pro 0.37%, GPT-5.4 High 0.26%, Opus 4.6 0.25%, Grok-4.20 0.00% — while humans score 100%. Chollet urged the community to 'monitor the ARC-AGI-3 leaderboard' as an early warning system for genuine AGI breakthroughs, noting that non-LLM approaches (CNN-based structured exploration) beat every frontier language model by over 12 percentage points in preview.
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.
2026-03-17 / thought-leaders-researcherFrançois Chollet: ARC-AGI-3 Launching March 25 — First Interactive Reasoning Benchmark Requires Agents to Explore, Learn, Plan, and AdaptThe ARC Prize Foundation will release ARC-AGI-3 on March 25, fundamentally redesigning what AI reasoning benchmarks measure: 1,000+ levels across 150+ environments that require agents to explore unknown contexts, form hypotheses, and adapt based on feedback rather than match static patterns. This directly targets the generalization gap that all current frontier models — including those scoring 80%+ on SWE-bench — have failed to close, since ARC-AGI-3 cannot be gamed through memorization or compute scaling. The launch follows ARC Prize 2025 closing with 1,454 teams and no solution clearing the benchmark bar.
2026-03-11 / thought-leaders-researcherChollet: ARC-AGI-3 Launching March 25 — Interactive Reasoning BenchmarkFirst format change since 2019. Video-game-like environments, 1000+ levels, no instructions. Agents must discover rules. Chollet slashed AGI timeline to 5 years.
2026-03-07 / thought-leaders-researcherChollet ARC-AGI-3 Agency Benchmark March 25Chollet confirms ARC-AGI-3 launches March 25 with first format change since 2019. Tests agency, not just intelligence. First formal human vs AI action efficiency comparison.
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.

Graph relationships

RELEASED
ARC-AGI-3
Chollet previewed ARC-AGI-3 measuring agency in interactive environments.
Source finding
PREDICTS
ARC-AGI-3
Chollet confirms ARC-AGI-3 launches March 25, 2026 with first format change since 2019.
Source finding
CRITICIZES
agentic coding
Chollet warns agentic code is a black box with classic ML failure modes
Source finding
RELEASED
ARC-AGI-3
Chollet released ARC-AGI-3 benchmark.
Source finding

Source trail

The Decoder OfficeChai MathArena ARC Prize Foundation ARC Prize HBR The New Stack

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues