21st November - AI News Daily - Google Gemini 3 and OpenAI GPT-5.1 Intensify AI Supremacy Battle

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Major Model Releases: Google launched Gemini 3 Pro with TPU acceleration, topping coding benchmarks and integrating with Android Auto across 250M+ vehicles. OpenAI released GPT-5.1 Pro and Codex-Max with enhanced writing, analysis, and 24-hour autonomous coding capabilities, while adding Deloitte as auditor amid legal challenges from authors and Sora trademark disputes. The open-source movement accelerated with AI2's fully transparent OLMo 3 (Apache 2.0) and Cogito v2.1's 671B parameters establishing a U.S. open-weight baseline. xAI's Grok 4 Reasoning became free, scoring 93% on telecom benchmarks, while MiniMax M2 promises frontier quality at 2-3x speedups.

Infrastructure & Investment: SoftBank committed $3B to convert an Ohio EV plant into modular OpenAI data center factories for the Stargate project. Nvidia cautioned its rumored $100B OpenAI investment may not materialize.

New Tools: Google's Nano Banana Pro delivers 4K-grade image generation with accurate text rendering. Microsoft launched Agent 365 for enterprise AI agent deployment, Salesforce introduced Agentforce Commerce for conversational retail, and new offerings included Comet Android Appand SLAPSHOT VFX toolkit.

Research Breakthroughs: A $1.60 state-of-the-art cancer detection model hit Hugging Face, CytoDiffusion surpassed experts at leukemia diagnosis, a 19M-parameter ASR model enabled edge transcription, T-SAR framework brought efficient LLM inference to CPUs, and Meta's SAM 3/SAM 3D advanced real-time segmentation. Microsoft's Magnetic Marketplace revealed AI agent vulnerabilities in complex economic scenarios.

Security & Policy: Researchers exposed prompt-injection via imagesand Google flagged Gemini misuse for self-rewriting malware. George R.R. Martin's copyright suit against OpenAI proceeds. Westinghouse partnered with Google Cloud on AI-driven nuclear construction.

Learning Resources: New tutorials covered Agentic RAG with LangChain+OceanBase, rapid RAG with Dify+Weaviate, and semantic caching by DeepLearning.AI.

Key Insights: Developers report tripled code output but increased review times. Users prioritize memory, voice, and collaboration over benchmark improvements. METR found no near-term catastrophic risk from GPT-5.1 variants.