https://ai-tldr.dev/releases/google-gemini-4-argon-ga/ AI/TLDR en 2026-10-13T12:00:00+00:00 Gemini 4 Argon goes GA — Google opens its frontier model to developers https://ai-tldr.dev/releases/openbmb-minicpm-v-4-7/ AI/TLDR en 2026-10-12T12:00:00+00:00 MiniCPM-V 4.7 — OpenBMB's first MoE vision model runs on an iPhone https://ai-tldr.dev/releases/anthropic-scion-source-control/ AI/TLDR en 2026-10-13T12:00:00+00:00 Scion — Anthropic replaced git for its monorepo in five months https://ai-tldr.dev/releases/character-ai-chapter-11-sale/ AI/TLDR en 2026-10-12T12:00:00+00:00 Character.ai files for Chapter 11 — the platform shuts if no buyer keeps it https://ai-tldr.dev/releases/sam-witteveen-gemini-4-argon-tested-oct13/ AI/TLDR en 2026-10-13T12:00:00+00:00 Sam Witteveen — 'Gemini 4 Argon - Out and Tested!!' https://ai-tldr.dev/releases/intel-gpu-d270/ AI/TLDR en 2026-10-12T12:00:00+00:00 Intel GPU D270 — an inference card with up to 480 GB of LPDDR5X https://ai-tldr.dev/releases/two-minute-papers-openai-math-oct13/ AI/TLDR en 2026-10-13T12:00:00+00:00 Two Minute Papers — 'OpenAI Just Changed What It Means To Do Math' https://ai-tldr.dev/releases/rich-hickey-ai-is-not-a-tool/ AI/TLDR en 2026-10-12T12:00:00+00:00 Rich Hickey — 'AI' is not a tool, it is automation https://ai-tldr.dev/releases/ai-explained-breach-inevitable-oct12/ AI/TLDR en 2026-10-12T12:00:00+00:00 AI Explained — 'AI Labs Warn Race Makes Breach ‘Inevitable’' https://ai-tldr.dev/releases/fireship-every-app-open-source-oct12/ AI/TLDR en 2026-10-12T12:00:00+00:00 Fireship — 'Every app on Earth is now open source... whether it likes it or not' https://ai-tldr.dev/releases/meta-muse-wonder/ AI/TLDR en 2026-10-12T12:00:00+00:00 Muse Wonder — Meta's first frontier model, built for long agent tasks https://ai-tldr.dev/releases/zai-glm-legal/ AI/TLDR en 2026-10-12T12:00:00+00:00 GLM-Legal — Z.ai's agentic model for contracts, evidence and compliance https://ai-tldr.dev/releases/karpathy-llm-capability-gap-funnel/ AI/TLDR en 2026-10-11T12:00:00+00:00 Andrej Karpathy — the gap in understanding LLM capability is widening