We rebuilt how MoE models generate tokens on Blackwell GPUs, resulting in 1.84x faster inference and more accurate outputs. These improvements directly contribute to how we train Composer, allowing us to ship improved versions of the model more often.
INNOVATION
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Autonomous Vehicles Superior in Stop-and-Go Traffic Scenarios
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I know. People think they love to drive. And they have a point on a race track or a back road with no traffic on it. Meanwhile most of us are stuck in stop and go traffic. A place where an autonomous vehicle is so superior it isn't funny. What you don't get is consumers are
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LangChain announces Agent Infrastructure track at AI Council 2026
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Very excited to talk about file systems in agents at the @AICouncilConf this May! Grab tickets now before they sell out: AI Council (@AICouncilConf) Shipping an agent is the easy part. Keeping it alive while you ship 10 more? That's where things fall apart. At AI Council this year we're dedicating an entire track to the people actually solving this. Presenting the "Agent Infrastructure" lineup, curated by @tristanzajonc (Co-Founder & CEO of @continual_ai): → @BraceSproul, Head of Applied AI at @LangChain : “The File System Is All You Need” → @thesephist, Head of AI at @ThriveCapital: “Context Engineering at the Frontier” → @felipehuici, Co-Founder & CEO at @UnikraftCloud: “Running Millions of (Millisecond) AI Sandboxes without Breaking the Piggy Bank” → @glcst, CEO at @tursodatabase: “Agents will need trillions of databases. Let's give it to them!” → @MeryemArik9, CEO at @Doubleword_: “Inference for Async Agents in Production” → @jacopotagliabue, Founder at @Bauplan_labs: “Forgiveness, Not Permission: Running Agents On Production Data” → @TheParminderS , Co-Founder & CEO at Redscope AI: “Building Durable, Long-Running Autonomous Agents” Big thanks to Tristan for pulling these cracked engineers together to share what’s actually working in production. See you at AI Council 2026 in SF, May 12-14! 🎟️ aicouncil.com — https://nitter.net/AICouncilConf/status/2041254177058496866#m
→ View original post on X — @langchain, 2026-04-06 20:58 UTC
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Two AI Apps Built to Usable State in Under 10 Minutes
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Yeah! Maybe minutes. My two apps took less than 10 minutes each to get to a usable state.
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Grok API Integration Limitations for List Analysis
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Unfortunately Grok still isn't completely hooked up to lists, so you gotta use the X API to really do good analysis of them.
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Levangie Labs: Superior AI Writing Tool Outperforms Competitors
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I'm using Levangie Labs to write. It's better at doing so than any other AI.
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Neuro-symbolic AI efficiency breakthrough beyond robotics applications
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5/ If neuro-symbolic AI scales beyond robotics into language models and search, we could see a future where powerful AI no longer requires a power plant behind it. The paper drops in May at ICRA Vienna. The efficient AI era might be closer than we think.
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC
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Hybrid System Achieves 95% Accuracy With Minimal Energy Consumption
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On a planning puzzle, the hybrid system hit 95% accuracy vs. 34% for standard models. Training took 34 minutes instead of 36 hours. Energy use dropped to 1% during training. It didn't just use less power, it got dramatically smarter. [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 20:42 UTC