OpenAI might be testing GPT-5.2-Codex-Max already with some users as there are multiple reports where Codex claims to be upgraded. Mine is still 5.1, what did you get? h/t @Haha58208745
OPEN SOURCE
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Runway and NVIDIA demo video generation on Rubin
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Runway partnered with NVIDIA to be among the first to demonstrate video generation models on the NVIDIA Rubin platform. "Runway’s Gen-4.5, the world's top-rated video generation model, was ported from NVIDIA Hopper to Vera Rubin NVL72 in a single day"
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Jensen touts Nvidia’s open source AI leadership
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Jensen’s touting @nvidia
’s leadership in the open source AI ecosystem. -
Open Source Strategy: Startups Drive AI Innovation Across Industries
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The NVIDIA Live pregame kicks off the conversation before CEO Jensen Huang takes the #CES2026 stage. Hear how startups are turning “open” into a strategic advantage across healthcare, software, and beyond. Hosted by Sarah Guo, Founder of Conviction Featuring Shiv Rao,
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FastAPI-Fullstack CLI Generator with LangGraph ReAct Agents
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fastapi-fullstack CLI Generator Made by the LangChain Community A CLI that generates production AI apps with LangChain or LangGraph. Creates FastAPI + Next.js apps with auth, WebSocket streaming, and LangSmith observability. v0.1.11 adds LangGraph ReAct agents. Get it:
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Build Multi-Agent Systems with LangGraph StateGraph
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Multi-Agent Tutorial with LangGraph Made by the LangChain Community Build multi-agent systems with specialized agents. Create a Content Factory with Editor and Writer agents using LangGraph's StateGraph for shared state management, with production-ready code. Tutorial:
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Near-instantaneous open-source vision models demo with webcam
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Near-instantaneous open-source vision models are here, and they’re cheap:
— AI Breakfast (@AiBreakfast) 4 janvier 2026
This is a real-time demo built with HuggingFace SmolVLM and llama.cpp using only a webcam
(Github link below) pic.twitter.com/yAkNt6P7PDNear-instantaneous open-source vision models are here, and they’re cheap: This is a real-time demo built with HuggingFace SmolVLM and llama.cpp using only a webcam (Github link below)
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Telegram launches AI summaries with Cocoon
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Telegram released its first AI feature powered by Cocoon. New AI Summaries will become available on long-form posts and Instant View pages.
— 🚨 AI News | TestingCatalog (@testingcatalog) 3 janvier 2026
This feature is powered by open-source models running on Confidential Compute Open Network created by Telegram. pic.twitter.com/eKkgTYbrrhTelegram released its first AI feature powered by Cocoon. New AI Summaries will become available on long-form posts and Instant View pages. This feature is powered by open-source models running on Confidential Compute Open Network created by Telegram.
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MoE vs Dense Models: Cost Efficiency
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Why this matters for open source: Dense models: Entire model needs retraining if you want to change anything
MoE models: Swap experts, add capabilities, fine-tune components independently Meta released Llama 405B (dense) – $50M+ training cost
DeepSeek released V3 (MoE) – $5.6M, -
Router learns input-expert affinity patterns
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The router is smarter than you think. It doesn't just pick experts randomly. It learns input-expert affinity during training. "Explain quantum physics" → activates Science + Technical experts
"Write a poem about love" → activates Creative + Emotional experts Specialized