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Watch · AI models and benchmarks

Fable 5.2: The Self-Improvement Loop Keeps Loopin’ … (plus Gemini Carbon)

The Brief

  • Reviews Claude Fable 5.2 and Gemini 4 Carbon, based on the creator's reading of a 264-page Fable 5.2 report and testing of both models.
  • Covers how fast AI is accelerating AI development, drawing on a 30-page METR report on recursive self-improvement.
  • Discusses five lesser-known benchmarks, and why Simple Bench appears saturated while a meta version may not be.
  • Also touches on Internal model 4, remote labour automation, and models knowing when they are being observed.

Why watch · It offers a detailed, source-linked look at how close frontier models are getting to accelerating their own development and automating remote work.

  • Claude Fable 5.2
  • Gemini 4 Carbon
  • Recursive self-improvement
  • Remote Labor Index

Summarised by Claude from the video’s title and description – no transcript was available, so check the video for the details.

Chapters

  1. 0:00Introduction
  2. 0:49how good are Fable 5.2 and Carbon?
  3. 9:01smarter, but still missing some common sense
  4. 15:49how fast is AI improving itself?
  5. 23:51small gains, big consequences
  6. 26:33it knows when you're watching
Show the full video description ›

I’ve read the full Fable 5.2 report at 264 pages, the 30 page METR RSI report, and tested Gemini Carbon and Fable 5.2 hundreds of times. There’s too much to cover in one video, but let’s explore everything from how fast AI is accelerating AI, five benchmarks few others will talk about, why Simple Bench got saturated but meta-simple bench might not have, Internal model 4, remote labour automation and much more https://www.assemblyai.com/aiexplained Exclusive Vids($9!): https://www.patreon.com/AIExplained 00:00 - Introduction 00:49 - how good are Fable 5.2 and Carbon? 09:01 - smarter, but still missing some common sense 15:49 - how fast is AI improving itself? 23:51 - small gains, big consequences 26:33 - it knows when you're watching Introducing Claude Fable 5.2 and Mythos 5.2: https://www.anthropic.com/claude-fable-and-mythos-5-2 Claude Fable 5.2 and Mythos 5.2 System Card: https://assets.claude.com/27d60918d218125e7504bc7354c4b4626ec56b11.pdf METR: AI R&D acceleration at Anthropic: https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/ Epoch AI: Fable 5.2 sets a new capabilities record: https://x.com/EpochAIResearch/status/2119903415363113088 SemiAnalysis: Fable 5.2's coding gains and RSI plateau: https://x.com/SemiAnalysis_/status/2119961452496756926 SemiAnalysis GDPx: https://gdpx.semianalysis.com/ Remote Labor Index: https://www.remotelabor.ai/ Remote Labor Index paper: https://arxiv.org/pdf/2510.26787 Greg Burnham on Fable 5.2's Remote Labor Index score: https://x.com/GregHBurnham/status/2120155251240292619/photo/1 Agents' Last Exam leaderboard: https://agents-last-exam.org/leaderboard AA-Omniscience: Knowledge and hallucination benchmark: https://artificialanalysis.ai/evaluations/omniscience ExploitGym leaderboard: https://benchlm.ai/benchmarks/exploitgym ExploitGym: Turning vulnerabilities into real attacks: https://arxiv.org/pdf/2605.11086 BenchCAD leaderboard: https://benchcad.com/leaderboard BenchCAD paper: https://arxiv.org/pdf/2605.10865 OpenAI: Accelerating engineering for the physical world: https://openai.com/index/accelerating-engineering-for-the-physical-world/ Google: Gemini 4 Carbon is now available: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-carbon-now-available/ Justin Lo: MaxxBench tests coding robustness: https://x.com/loresjpg/status/2118880329490637049/photo/1 Claude: Fable 5.2 and Mythos 5.2 capabilities and speed: https://x.com/claudeai/status/211986