Is Chain-of-Thought just an Illusion of Reasoning? New research shows that 25% of AI papers treat CoT as 'interpretable' – but those step-by-step explanations often don't reflect what models actually compute. The reasoning you see ≠ the reasoning that happens
LLMS
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Better Tools and Prompting for Human-like AI Behavior
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We don't know what a human would do, and I suspect better tools and prompting would help.
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Post-Training Fine-Tuning Specializes AI for Professional Tasks
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#2: Post-training fine-tunes that general knowledge for a specific task—like training to become a doctor, lawyer, or coder.
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Test-Time Scaling: Deep Reasoning During AI Inference
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#3: Test-time scaling uses extra compute during inference to reason through complex problems—like a professional thinking deeply before making a big decision.
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Pretraining: How AI Models Build Broad Knowledge
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#1: Pretraining is when an AI model uses compute to build broad knowledge from massive datasets—like a student learning in school.
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Three Scaling Laws Unlock Advanced Enterprise AI Capabilities
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🔍 AI models are getting smarter and more useful for enterprise tasks like complex problem-solving, coding and multistep planning.
— NVIDIA AI (@NVIDIAAI) 1 juillet 2025
Three scaling laws are unlocking these advances: pic.twitter.com/aE7M5x1GBjAI models are getting smarter and more useful for enterprise tasks like complex problem-solving, coding and multistep planning. Three scaling laws are unlocking these advances:
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O3 Model Tests Scientific Paper Error Detection at 21% Accuracy
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What happens if you put a full scientific paper into AI and ask it to find known errors in proofs, tables, etc? Every model before o3 fails completely, o3 gets 21% (its better at proofs, worse at tables & figures). Progress & perhaps a second opinion, not yet autonomous science.
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Multi-modal Researcher with Gemini 2.5 and LangGraph
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Multi-modal researcher with Gemini 2.5 Generate reports + custom podcasts on any topic w/ LangGraph + Gemini 2.5: • YouTube video processing
• Real-time Google Search integration
• Multi-speaker text-to-speech Repository:
https://github.com/langchain-ai/multi-modal-researcher Video:
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OpenAI Reveals ChatGPT Development Behind Scenes Podcast
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Exa Launches Production-Ready Deep Research Agent with LangGraph
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How Exa built a production-ready deep research agent with LangGraph @ExaAILabs
, known for their fast, high-quality search API, just launched a deep research agent that delivers structured answers on the web — no matter how complex the query. Powered by LangGraph, they've built