Epoch AI
@EpochAIResearch
Investigating the trajectory of AI for the benefit of society.
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We've updated the MirrorCode leaderboard with results for Claude Fable 5 and GPT-5.6 Sol.
Claude Fable 5 leads with a 64% solve rate, followed by GPT-5.6 Sol at 20%.
AI appears to be finding software vulnerabilities at scale.
In June 2026, 21 notable organizations disclosed ~1,500 high- and critical-severity CVEs, over 3.5× the previous monthly record set before Claude Mythos Preview's release.
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Introducing EBR-bench, our new benchmark to measure on-the-fly learning.
AI repeatedly plays a challenging board game called Earthborne Rangers and tries to learn from its mistakes. So far: no signs of improvement.
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Claude Fable 5 scores very well on FrontierMath: Tiers 1–4 (v2), reaching 87% on Tiers 1–3 and 88% on Tier 4. This continues a streak of Anthropic models improving rapidly at math.
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Servers account for 60% of the total cost of owning a 1 GW AI data center.
A typical 1 GW AI data center costs about $38B in up-front capital and $0.9B/year to operate. Annualizing the capital expenses over equipment lifespans, that equates to $8.5B/year, with $5B for servers.
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Big differences in AI researcher pay don't have to be due to big differences in researcher quality. That's because tiny quality differences can lead to huge differences in outcomes.
Superstar AI researchers are paid >10× more than their frontier lab colleagues, and >100× more than most postdocs. Why?
The naive explanation is that this is just due to differences in researcher quality. But in a new essay, @ansonwhho argues that this is very incomplete.
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