The line that stayed with me: semantic structure may be useful for function without being driven by function. That is a powerful caution for mechanistic interpretability. Some beautiful structures inside models may be less like “designed concepts” and more like the linear
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Paper: Semantic Hierarchies Are Geometric in Language Models
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What looks like ontology may be eigenspectrum. A beautiful new paper by Andres Nava and Matthieu Wyart gives a mechanistic account of one of the most striking facts about language models: semantic hierarchies appear geometrically. An owl is a bird.
A bird is an animal.
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Organizations overspending on AI token budgets highlights cost-management gap
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I have heard from quite a few large organizations that blew through their entire token budget in the first couple months of the year. There aren't even good processes for thinking through how token costs will change over time.
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LangSmith Engine Automates AI Agent Improvement Cycles
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Improving your agent has been a manual process of:
— LangChain (@LangChain) 27 mai 2026
✅ Reading traces
✅ Looking for patterns
✅ Writing evals
✅ Creating fixes
Now, LangSmith Engine runs that cycle for you. pic.twitter.com/YsFn37mtA3Improving your agent has been a manual process of: Reading traces Looking for patterns Writing evals Creating fixes Now, LangSmith Engine runs that cycle for you.
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AI Latency for Cloud Robotics and Edge Embodiment
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Agreed: Latency is now low enough to support robot inference in the cloud, and edge is where embodiment transforms and safety checks should be performed: https://
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MiniMax M2 Technical Report: Attention Mechanism Analysis
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The MiniMax M2 series was one of the most widely used open-weight LLM series earlier this year. Now, we got a technical report with some interesting tidbits. I summarized some of them below: 1. Full attention as an anti-trend?: They tried hybrid sliding-window attention
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Highly rated new book on generative AI applications with LLMOps
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Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at https://
amzn.to/3Pv4dyF -
Ruflo Transforms Claude Code into Multi-Agent System
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One command just turned Claude Code into 100 agents that learn. Claude Code is powerful, but it runs as a single agent. No shared memory, no parallel delegation, no cross-task coordination. Ruflo, formerly claude-flow, fixes that with one command. A single npx init spins
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AI advantage from faster leaner systems, not better prompts
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The next AI advantage won't come from a better prompt. It'll come from a faster, leaner system underneath the model. Her's Law and the Tau Scaling Law framework are worth understanding deeply if you're making AI infrastructure decisions. @huawei is leading this thinking. What
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Enterprise AI’s new focus: infrastructure over model selection
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The enterprise AI question is shifting. It's no longer just: which model are we running? It's now: can the system underneath generate answers fast enough, efficiently enough, and economically enough? Infrastructure-level thinking is becoming the real AI differentiator.