GPT-5.1-Codex-Max is now available via the Responses API and OpenAI Platform. "GPT‑5.1-Codex-Max is purpose-built for agentic coding. foundational reasoning model."
MACHINE LEARNING
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Why ChatGPT will lose the AI battle against Gemini
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Why #ChatGPT will lose the AI battle against Google #Gemini? Full analysis → https://youtu.be/1mXQM3jS7nI
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PosterCopilot: Layout Reasoning and Controllable Graphic Design Editing
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PosterCopilot Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
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Reasoning Models Offer Better Answers But Consume Significantly More Energy
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Reasoning models can give more useful answers to certain types of questions. They also use A LOT more energy, says new research from Hugging Face's @SashaMTL and Salesforce's @bgamazay bloomberg.com/news/articles/… @rachelmetz & I take a look
→ View original post on X — @rachelmetz, 2025-12-04 18:41 UTC
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Building Fair AI Systems for Diverse Users Research
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How do we build AI systems that work equally well for everyone? @Stanford
's @lschmidt3 and @Diyi_Yang are tackling this challenge head-on. Their research focuses on improving training datasets & ensuring AI systems are designed with diverse users in mind. https://
news.stanford.edu/stories/2025/1
1/human-focused-ai-systems-research-ludwigs-schmidt-diyi-yang
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Asking for error traces on CORE-Agent performance plateau
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Super interesting! I'd love to see why performance starts plateauing with CORE-Agent even with better models – do you have some error traces to share?
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AI for Rapid Hard Automation Design in Manufacturing
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Agreed! Special-purpose hard automation like this feeder will always dominate general-purpose robots for high volume repetitive tasks like this. How could AI be used to facilitate rapid design of hard automation? https://t.co/6jL4U191jV
— Ken Goldberg (@Ken_Goldberg) 4 décembre 2025Agreed! Special-purpose hard automation like this feeder will always dominate general-purpose robots for high volume repetitive tasks like this. How could AI be used to facilitate rapid design of hard automation?
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Mistral Large 3 Tops Open Source Coding Model Leaderboard
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Mistral Large 3 debuts as the #1 open source coding model on the @arena leaderboard. We'd love for you to try it! More on coding in a few days… 👀
→ View original post on X — @arthurmensch, 2025-12-04 14:00 UTC
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Caltech AI+Science Group Presents NeurIPS Papers on Diffusion and LLMs
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Our AI+Science group from @Caltech has a number of papers at @NeurIPSConf in chronological order: FunDPS: Guided Diffusion Sampling on Function Spaces with Applications to PDEs https://
arxiv.org/abs/2505.17004
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models -
MIT Study Shows Ineffective Neural Networks Need Better Starting Points
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Do "untrainable" neural networks just need a helping hand to do modern tasks? MIT study reveals many "ineffective" networks may start from suboptimal starting points. CSAIL's short-term guidance method transferred structural knowledge to boost performance: