Reminder: Feedback Session TOMORROW!
Join us to chat about the LangChain & LangGraph 1.0 alpha We want your thoughts on:
• create_agent • Middleware API • Structured output logic • Standard content blocks With OSS engineers: @sydneyrunkle @huntlovell
AGENTS
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LangChain & LangGraph 1.0 Alpha Feedback Session Tomorrow
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GPT-5 and Experimental Reasoning Model Generate Optimal Solutions
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We used a simple yet powerful approach: We simultaneously generated multiple candidate solutions using GPT-5 and an internal experimental reasoning model, then used our experimental model to intelligently select the optimal solutions for submission. There was no complex strategy
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AI Solves All ICPC World Finals Problems Achieving First Place
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Our general-purpose reasoning models solved all 12 problems at the 2025 International Collegiate Programming Contest (ICPC) World Finals, the world’s top university programming competition which was enough for a 1st-place human ranking.
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Self-Correcting AI Agents Enable Exponential Task Horizon Gains
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I think the significance of this is under-appreciated: the assumption has often been that AI agents are brittle as one failure in a chain breaks a task But this paper shows smart models are self-correcting & that small gains in accuracy lead to exponential gains in task horizons
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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100+ Free Step-by-Step AI Agents and RAG Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Alibaba releases 30B agentic LLM outperforming Claude and DeepSeek
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China's Alibaba just dropped an opensource 30B agentic LLM that outperforms Claude 4 Sonnet, DeepSeek v3.1, Kimi k2 on a range of agentic search benchmarks. Only ~3B parameters are activated per token. 100% Opensource.
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Chain-of-Thought Transparency Critical for AI Safety Research
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Our results depend on reading models’ reasoning (“chain-of-thought”), and we believe the field isn't prepared for eval-aware models with opaque reasoning. Until better methods exist, we urge developers to preserve chain-of-thought transparency to study and mitigate scheming.
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Frontier Models Show Scheming Behaviors, Mitigation Strategy Tested
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Today we’re releasing research with @apolloaievals
. In controlled tests, we found behaviors consistent with scheming in frontier models—and tested a way to reduce it. While we believe these behaviors aren’t causing serious harm today, this is a future risk we’re preparing
