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AGENTS
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OpenAI DevDay Returns to San Francisco September 29
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OpenAI DevDay is back. San Francisco September 29
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LangChain 2nd Edition: Production LLM Applications and Advanced Agents
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The 2nd Edition of this book has arrived, with Agentic AI updates: "Generative AI with LangChain — Build Production-ready LLM Applications and Advanced Agents using Python and LangGraph" at https://
amzn.to/3JEeS6K v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Design and -

Agentic AI Models Demonstrate Advanced Judgment Capabilities
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One reason I don’t think “judgment” is going to be a distinctly human role in working with AI is that the most recent agentic models have gotten quite good at some types of judgment. You can’t do the kind of high complexity, long-run tasks that current AIs can do without it.
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AGI ALPHA Completes First Real Loop with Evidence Compiler
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Today, AGI ALPHA ran the First Real (RSI) Loop: Nova‑Seed → MARK → mini Sovereign → 5 real jobs → Evidence Docket → reusable compiler → vNext treatment/control improvement. From architecture to replayable evidence. GitHub Actions: https://
github.com/MontrealAI/agi
alpha-first-real-loop/actions/runs/25118498108/job/73612279861
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Madrigal Pharma Multi-Agent Platform Powered by LangChain
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@MadrigalPharma
’s multi-agent research and intelligence platform for pharma is powered by LangChain + LangSmith. When users ask research questions, the orchestrator breaks them into sub-tasks. Multiple agents working in conjunction towards an overarching goal, with an -
Parallelism and Agentic Skills Accelerate Prototype to Production
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Going from prototype to production took weeks instead of months. Madrigal’s team is finding parallelism increases accuracy and scope while decreasing latency. With agentic skills, domain experts can work directly inside the feedback loops and address shortcomings. See
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Stripe Payment Data Now Available on Databricks Marketplace
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Big news: @stripe payments data is now available on Databricks Marketplace.
— Databricks (@databricks) 29 avril 2026
Activate the Stripe Data Pipeline in minutes, then query live payment data in Databricks to power models, agents and Genie workspaces
• Deploy an agent that monitors transactions continuously
•… pic.twitter.com/vkhYhXGjcvBig news: @stripe payments data is now available on Databricks Marketplace. Activate the Stripe Data Pipeline in minutes, then query live payment data in Databricks to power models, agents and Genie workspaces
• Deploy an agent that monitors transactions continuously
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SWE-chat: Real-World Coding Agent Interactions Dataset
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"SWE-chat: Coding Agent Interactions From Real Users in the Wild" This paper proposes a real-world coding-agent dataset. It tracks 6K sessions from actual developers, with prompts, tool calls, and line-level human vs. agent authorship. Main result is that agent autonomy is
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AI-Written Papers at Major ML Conferences in Coming Years
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I wonder how many papers a big AI conferences like @NeurIPSConf
, @ICLR_conf
, and @ICMLconf will be largely AI written in a few years time…