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ThursdAI - Jan 1 2026 - Will Brown Interview + Nvidia buys Groq, Meta buys Manus, Qwen Image 2412 & Alex New Year greetings

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Jan 1, 2026
Will Brown, a researcher at Prime Intellect and creator of the Verifiers library, shares his insights on reinforcement learning environments and his humorous takes on AI discussions online. He highlights the importance of structured formats in model training and discusses scaling laws and their implications on cost-quality tradeoffs. Will also delves into the concept of optimizing thinking length for AI models, and how verification functions can improve outputs. He explores unique examples from the AI Engineer conference and the value of community in advancing AI research.
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INSIGHT

Year-End Strategic Acquisitions Reshaped AI

  • Meta and NVIDIA made major strategic acquisitions at year-end, reshaping the agent and inference hardware landscape.
  • Alex Volkov frames these as decisive moves that will influence 2026 AI competition and talent flows.
INSIGHT

Skills Are Packaged Prompting Patterns

  • Will Brown argues many labeled "new" features like skills are repackaged, incremental patterns.
  • He sees skills as structured prompting evolution rather than radical innovation.
ADVICE

Standardize Tool Calls For Composability

  • Use standardized tool-call formats (like MCP) to unlock composability and reduce reinvention.
  • Adopt opinionated interfaces so models and teams share predictable expectations for tools.
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