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Anthropic launches Claude Fable 5.1 and restricted Mythos 5.1

Anthropic ships Fable 5.1 broadly and Mythos 5.1 to vetted partners, plus AfterQuery hits a $3.2B valuation and new research on agent self-modification.

🚀 RELEASES & LAUNCHES

  • Anthropic launches Claude Fable 5.1 and restricted Mythos 5.1
    Anthropic released Fable 5.1 broadly and Mythos 5.1 to vetted partners.

    • Fable 5.1 targets coding, research, knowledge work, and long-running enterprise tasks; Mythos 5.1 targets vetted cybersecurity and life-sciences partners.
    • Both models support 1 million-token contexts and up to 128,000 output tokens.
    • Fable 5.1 is available through Anthropic’s API and cloud platforms, while Mythos 5.1 is restricted to approved programs.
    • Fable 5.1 costs about 25% less on typical workloads and up to 45% less on heavily agentic tasks through cheaper cache reads.
    • Fable 5.1 adds more precise safeguards and zero-data-retention options, changing privacy and safety controls for enterprise adopters.
    Sources 📄 Source: anthropic.com · 📎 Coverage: techcrunch.com · 👁 via The Verge AI, TechCrunch AI (+1)
  • Google’s Android update adds Motion Assist, Guided Vision and Gemini features
    Google announced five Android updates for accessibility, motion sickness, item tracking and messaging.

    • Android 17 users get Motion Assist, while Guided Vision targets blind and low-vision users on Android 9 and newer.
    • Motion Assist overlays customizable bubbles that respond to vehicle movement to help reduce motion sickness.
    • Guided Vision uses the camera and Gemini to read text, identify objects and provide voice positioning guidance.
    • Gemini can save item locations and photos in Find Hub; Google Messages adds Google Keep integration and chat backgrounds.
    • The update expands Gemini-assisted accessibility and organization tools across Android phones.
    Sources 📄 Source: blog.google · 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

🔬 RESEARCH

  • EvoUndo tests whether self-evolving LLM agents can safely undo mutations
    Researchers introduced EvoUndo, a framework for verifying recoverability of LLM-agent self-modifications.
    • For developers building LLM agents that modify prompts, tools, middleware, resources, or execution harnesses at runtime.
    • EvoUndo represents, synthesizes, diagnoses, and independently verifies recovery across counterfactual states.
    • Across 600 unseen one-shot tasks, 197 capability-improving mutations failed recoverability verification; conventional repairs recovered 0/197.
    • Its extended recovery calculus raised deterministic oracle recovery to 191/197, while exact-address grounding recovered 38/48 when the original language sufficed.
    • The study reports that reliable self-evolution requires co-designing verification, state grounding, witness semantics, and recovery-language expressivity.
    Sources 📄 Source: arxiv.org · 📎 Coverage: reddit.com · 👁 via r/MachineLearning

📊 BENCHMARKS & EVALS

💰 BUSINESS & FUNDING

  • AfterQuery reportedly reaches $3.2B valuation in Y Combinator-record sprint
    AfterQuery reportedly raised a round valuing it at $3.2 billion.

    • AI labs use AfterQuery’s human-curated training data and reinforcement-learning environments.
    • The startup’s valuation rose from $300 million to $3.2 billion in five months after its $30 million Series A.
    • AfterQuery employs doctors, lawyers and other specialists to train models and agents on professional workflows.
    • The company reported a $100 million annualized revenue run rate in April 2026.
    • The approach encodes practitioners’ patterns, decisions and reasoning for AI systems.
    Sources 📄 Source: forbes.com · 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI
  • Google courts Hollywood studios for AI training and character licenses
    Google is seeking Hollywood licenses to train AI models on copyrighted film and television content.

    • Google has approached Disney, Universal, Warner Bros. Discovery and other studios.
    • The proposed licenses would cover characters and film libraries for training AI models and generating content.
    • No agreements have been reached, with legal, copyright and union concerns slowing talks.
    • Google could pay about $40 million for rights to generate outputs featuring one Disney/Pixar character, with broader deals potentially reaching billions.
    • The licenses would give Google authorized entertainment data while offering studios new AI-related revenue and production tools.
    Sources 📎 Coverage: latimes.com · 👁 via The Verge AI

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