Get a full technical breakdown of this agent, and see what happened when we rain it ran it against 2025 GDP data for all 27 EU member states. https://
langchain.com/blog/financial
-ai-that-investigates-macro-trends-eu-economic-analysis-with-you-com-and-langchain
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DATA
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Technical breakdown of agent analyzing 2025 EU GDP data
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LangSmith preserves decision logs for explainable financial AI
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In financial services, the ability to explain how a conclusion was reached matters as much as the conclusion itself. This agent uses LangSmith to preserve that decision log: every query issued, every response received, and every intermediate result produced before the final
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LangChain agent analyzes GDP data with AI and research API
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This macroeconomic research agent powered by Deep Agents, LangSmith, and the @youdotcom Finance Research API: Analyzes GDP data Detects anomalies Investigates structural & cyclical drivers at the sector level Produces structured, cited briefings
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AI reads million posts to allow talking to them
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You all sure post a lot. The AI industry, alone, posts about 30,000 times every day here on X. My AI reads it all and builds this: https://
alignednews.com/ai Now my database has about a million posts in it. So now I can "talk" to a million of your posts. Which is pretty -
Writers and Artists Need a Way to Label AI Use
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Writers and Artists Need a Way to Label AI Use: Here’s What That Could Look Like
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
Search as Code replaces tool-calling with async search primitives
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The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.
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Quotable lines from speech on AI success factors
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Lots of quotable lines in @AGSNYT
’s @NewspaperWorld speech: “Talent, compute, energy and data are all essential to the success of A.I. and, therefore, to the success of the tech giants. The first three are paid for because — of course they are. No tech C.E.O. would dare suggest -
Longmemeval Experiment: Three Ingestion/Extraction Configurations Compared
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longmemeval experiment arch: 1) deterministic ingestion/extraction (85.6% accuracy, 86.2% retrieval)
2) semantic ingestion/extraction (84.8% accuracy, 94.9% retention)
3) semantic ingestion/deterministic extraction (87.6% accuracy, 90.0% retrieval) this was staggered, not -
DellTechWorld 2026: H2O.ai CEO and Dell CTO discuss AI scaling, governance, cost
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At #DellTechWorld 2026, http://
H2O.ai Founder & CEO @srisatish joined @DellTech
' CTO Satish Iyer and @theCUBEto discuss what it takes to operationalize AI at scale — from infrastructure and governance to cost control, sovereignty, and real-world business outcomes. -
Microsoft’s Open-Source AI Tool Makes BI Obsolete, Eliminating Expensive Seats and Steep Learning Curves
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Microsoft made BI tools obsolete with one open-source AI visualization tool.
— AlphaSignal AI (@AlphaSignalAI) 1 juin 2026
Most analytics tools lock you into expensive seats and steep learning curves.
Charts require SQL, transformations require code, dashboards require a specialist.
Microsoft Research just open-sourced… pic.twitter.com/UIvqfVYBpqMicrosoft made BI tools obsolete with one open-source AI visualization tool. Most analytics tools lock you into expensive seats and steep learning curves. Charts require SQL, transformations require code, dashboards require a specialist. Microsoft Research just open-sourced