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Sunday, 1 November 2026
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EST. 2026 INTELLIGENT JOURNALISM
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AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom • AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom • AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom •
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#Granite 4.2

Diagram of the staged training pipeline behind Granite 4.2 LLMs — IBM Granite reasoning models | AI Models
AI Models
Granite 4.2: How IBM Built Its New Reasoning LLMs

IBM’s Granite 4.2 is its first reasoning-focused LLM family, trained on ~15T tokens and refined through a multi-stage reinforcement learning pipeline that teaches the 8B and 30B models to act as coding, terminal, and search agents.

Alex Carter •