The Sequence Radar #897: Last Week in AI: China, Compression and the Open-Model Race

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The Sequence Radar #897: Last Week in AI: China, Compression and the Open-Model Race

TL;DR

  • Thinking Machines released Inkling, a 975-billion-parameter open-weight model with a 1M context window, focusing on customization.
  • Moonshot AI introduced Kimi K3, a 2.8 trillion-parameter model with open weights, aiming for long-horizon coding.
  • PrismML's Bonsai 27B offers extreme compression, with a 5.9GB model small enough for smartphones.
  • OpenAI's GPT-Red is an automated red-teaming system that uses self-play to find vulnerabilities, significantly improving model robustness.
  • Xi Jinping framed open-source AI as a global public good, highlighting China's strategic push for AI governance and international cooperation.
  • The trend indicates a fragmentation and potential democratization of AI, shifting the contest from building the smartest system to deciding whether intelligence will be centralized or portable.
  • Apple Intelligence is approved for launch in China, integrating Alibaba's Qwen models.
  • Emergent announced a $130 million Series C funding round.
  • Demis Hassabis proposed an independent standards body for reviewing frontier models.
  • Reflection AI secured a $1 billion+ compute deal with Nebius.
  • Google's Gemini 3.5 Pro is reportedly behind schedule.
  • Greylock launched an $1.5 billion early-stage fund.
  • TSMC's revenue shows continued AI demand.
  • Walden Robotics launched with significant seed funding.
  • SK Hynix completed a record-breaking US listing.