Very interesting article from Anthropic about how, thanks to AI, they're able to streamline their process of researching and training better AI. Or as it's colloquially known: closing the loop
TECHNOLOGY
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AI Research: Claude’s Improved Decision-Making Outperforms Humans
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AI research is a series of next-step decisions. We looked at sessions where a human researcher took a wrong turn, showed Claude the session up to that point, and asked it what to do next. Mythos Preview improved on humans 64% of the time—up from 22% in 2024.
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AI Self-Improvement Plausible if Trends Continue, But Research Judgment Lacks
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None of this guarantees recursive self-improvement is on the horizon. It’s not yet clear that Claude is capable of research judgment—of choosing the right problems to work on. But if these trends continue, AI systems designing and building their own successors is plausible. This
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Anthropic’s AI models show massive speedup in code training tasks
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Each time we release a model, we run the same test: give it code that trains a small AI model, ask the new model to speed it up. It takes a skilled human 4-8 hours to reach 4x faster. In May 2024, Claude Opus 4 averaged a ~3x speedup. This April, Mythos Preview achieved ~52x.
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Claude’s coding success jumps 50 points, rivaling human quality
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The speedup isn’t just in volume. On open-ended coding problems where answers are unclear, Claude’s success rate is now 76%—a 50 point jump in just 6 months. Many engineers also say Claude’s code quality is now on par with human code; we expect it to be better within the year.
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Claude Accelerating AI Development: Recursive Self-Improvement Faster Than Expected
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Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention.
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ChatGPT memory adapts to trip planning context and preferences
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We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change. If you tell ChatGPT you’re planning a trip in July, memory should understand when the trip is upcoming, happening, and already over. That helps ChatGPT keep
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Flows Agent lets you iterate and modify the pipeline dynamically
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Flows Agent lets you iterate through conversation. Tell it to try a warmer voice, swap the background, or generate a version in Spanish. The agent modifies the pipeline and re-runs without rebuilding from scratch.
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ElevenCreative Flows links 50+ models with voice, music, SFX
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ElevenCreative Flows connects 50+ image and video models with voice, music, and SFX on one canvas. Creators and marketers use it to chain modalities together into complete pipelines and test creative variants across products, languages, and formats.
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ElevenLabs introduces Flows Agent for automated creative workflow generation
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Introducing Flows Agent in ElevenCreative.
— ElevenLabs (@ElevenLabs) 4 juin 2026
Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations. pic.twitter.com/m5Dyr77J15Introducing Flows Agent in ElevenCreative. Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations.