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Evaluating AI’s ability to perform scientific research tasks
OpenAI introduces FrontierScience, a benchmark testing AI reasoning in physics, chemistry, and biology to measure progress toward real scientific research....
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New Gemini API updates for Gemini 3
Gemini 3, our most intelligent model, is now available for developers via the Gemini API. To support its state‑of‑the‑art reasoning, autonomous coding, multimod...
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GPT-5.2 first impressions: a powerful update, especially for business tasks and workflows
OpenAI has officially released GPT-5.2, and the reactions from early testers — among whom OpenAI seeded the model several days prior to public release, in some...
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Introducing GPT-5.2
GPT-5.2 is our most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, coding, and vision. Use...
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Unlocking AI Reasoning: The Power of Modular Cognition
Introduction Tired of AI that's a black box? Frustrated by complex systems that are difficult to debug and adapt? What if you could build intelligent systems w...
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A smarter way for large language models to think about hard problems
This new technique enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question....
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AI Model Nearly Aces the Putnam: Why the Real Disruption Is How We Reason
AI Model Nears a Perfect Score on the Putnam An AI math model recently scored 118/120 on one of the hardest human exams. Beyond solving problems, it learned to...
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Think Like HATEOAS: How Agentic RAG Dynamically Navigates Knowledge
!Cover image for Think Like HATEOAS: How Agentic RAG Dynamically Navigates Knowledgehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=...
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Reading About o4-mini & o4-mini-high Made Me Rethink “Small” AI Models
I went into the Makiai article about OpenAI’s o4-mini and o4-mini-high expecting just another technical breakdown full of benchmarks I’d skim and forget. Instea...
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[Paper] Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
MLLMs exhibit strong reasoning on isolated queries, yet they operate de novo -- solving each problem independently and often repeating the same mistakes. Existi...