AI Daily

🤖 AI HOT Daily · Jul 6, 2026

Meituan LongCat-2.0 fully open-sourced under MIT with weights and inference code, Zuckerberg announces gigawatt-scale Prometheus AI cluster, NVIDIA Kyber NVL144 delayed 12+ months to 2028, EU Council fast-tracks Chat Control 2.0 mandating encrypted message scanning, Anthropic Claude Design reverse-engineered prompts open-sourced, LlamaIndex launches legal-kb legal document knowledge base, father accidentally starts company building communication app for non-verbal autistic son.

  1. 1. Meituan LongCat-2.0 Fully Open-Sourced Under MIT

    Model weights and inference code released under MIT. 1.6T MoE with ~48B active per token, 1M token context support.

  2. 2. Zuckerberg: Building Gigawatt-Scale Prometheus AI Cluster

    Meta builds Prometheus, the first single cluster over 1 gigawatt, with hundreds of billions in capital. Zuckerberg's mission: concentrate elite talent, capital, and infrastructure.

  3. 3. NVIDIA Kyber NVL144 Delayed 12+ Months to 2028

    Just 3 months after Jensen's GTC showcase, Kyber NVL144 faces major setbacks, delayed over 12 months to 2028.

  4. 4. EU Council Forces Chat Control 2.0 Encrypted Message Scanning

    EU Council fast-tracks regulation forcing tech companies to indiscriminately scan encrypted communications. Critics say it undermines end-to-end encryption.

  5. 5. Anthropic Claude Design Reverse-Engineered Prompts Open-Sourced

    Reverse-engineered Claude Design system prompts open-sourced on GitHub under MIT. 20 prompt chapters and 14 skills covering content discipline, aesthetics, accessibility.

  6. 6. LlamaIndex Launches legal-kb Legal Document Knowledge Base

    Legal document knowledge base reference app built on Index v2. Uses Retrieval Harness pattern with retrieve, find, read, and grep tools.

  7. 7. Father Accidentally Starts Company Building Communication App for Autistic Son

    A father builds a communication app for his non-verbal autistic son. When shown in speech therapy, every mother of a non-verbal child bursts into tears. He accidentally finds product-market fit.

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