> Together with SpaceXAI, we're training a significantly larger model from scratch, using 10x more total compute. With Colossus 2's million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability. That's double
LLMS
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Composer 2.5 and Large-Scale AI Model Training Initiative
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Composer 2.5 is built on top of Kimi K2.5 Also interesting > Together with SpaceXAI, we're training a significantly larger model from scratch, using 10x more total compute. With Colossus 2's million H100-equivalents and our combined data and training techniques, we expect
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New Large-Scale AI Model Training with Increased Compute
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Together with SpaceXAI, we’re training a significantly larger model from scratch, using 10x more total compute. With Colossus 2’s million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability.
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Composer 2.5 Model Performance and Efficiency
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Composer 2.5 is exceptionally intelligent and up to 10x more efficient than similarly capable models.
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LangSmith introduces SmithDB to improve trace data
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The next phase of LangSmith is more than faster trace loading. We’re making trace data more useful. SmithDB is the foundational layer that makes this possible. A deeper dive from Co-Founder @ankush_gola11
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SmithDB: purpose-built data layer for agent observability
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ICYMI: SmithDB is our purpose-built data layer for agent observability + eval workloads.
— LangChain (@LangChain) 18 mai 2026
Supporting increasingly complex query patterns at low latency, over large traces, with self-hosting + multi-cloud requirements needs a fundamentally new architecture.
That’s why we built… pic.twitter.com/BQ4J1sxc23ICYMI: SmithDB is our purpose-built data layer for agent observability + eval workloads. Supporting increasingly complex query patterns at low latency, over large traces, with self-hosting + multi-cloud requirements needs a fundamentally new architecture. That’s why we built
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PolyAI launches enterprise voice agent platform for real-time customer dialog
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Call centers are about to get absolutely cooked.
— God of Prompt (@godofprompt) 18 mai 2026
PolyAI just opened the same voice agent platform used by FedEx, Marriott, PG&E, Foot Locker, and more.
Not chatbot cosplay.
Real dialog agents for messy enterprise calls.
Built in 10 minutes or from your terminal.
Voice AI is… https://t.co/GWChJy35e8Call centers are about to get absolutely cooked. PolyAI just opened the same voice agent platform used by FedEx, Marriott, PG&E, Foot Locker, and more. Not chatbot cosplay.
Real dialog agents for messy enterprise calls. Built in 10 minutes or from your terminal. Voice AI is -
User experience report on Claude model performance and responsiveness
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Claude recently feels even more lazy than usual. I have to force him to do his job properly and correctly. At some point, I'm just writing in all caps and yelling at Claude in my head. Dont know if it helps.
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Grok agent mode represents a significant AI capability advancement
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Grok agent mode is a major ability unlock
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Technical assessment of stateful AI agent capabilities and memory
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some good discussions and experiments around stateful agents in the replies, but seems like we’re not quite there yet, as in we’re starting to track memory and traces, but not quite agent capability as part of that state