Yes, it also works well with the embedding model, but ColBERT is a bit more accurate thanks to long tool descriptions + prompts.
AI
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Building an AI to read AI people and companies on X
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Yes, that's why I built an AI to read all the AI people and companies here on X. To help find the interesting stuff:
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Leve: filesystem-first durable agent framework built on LangGraph
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Very cool work from @jit_infinity:
— Harrison Chase (@hwchase17) 20 juin 2026
🔥Leve: filesystem-first, durable agent framework built on LangGraph.
You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it
Inspired by Vercel's Evehttps://t.co/cfWpii90Yn pic.twitter.com/S7FhJEirITVery cool work from @jit_infinity
: Leve: filesystem-first, durable agent framework built on LangGraph. You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it Inspired by Vercel's Eve https://
github.com/prasanjit101/L
eve
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Gary Marcus argues AI needs symbolic tools, not just scale
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this is so not true.
— Gary Marcus (@GaryMarcus) 20 juin 2026
anthropic’s own Claude Code uses harnesses, symbolic tools, regular expressions and 500,000 lines of symbolic code.
it’s not scale alone
and it *is* specialized. https://t.co/BrNEpLa9Xdthis is so not true. anthropic’s own Claude Code uses harnesses, symbolic tools, regular expressions and 500,000 lines of symbolic code. it’s not scale alone and it *is* specialized.
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Review of GLM 5.2: strengths and areas for improvement
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What is good in GLM 5.2, what can we improve on?
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Evolving Meta-Skill for Multi-Agent Systems Without Weight Changes
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// Evolving Meta-Skill for Multi-Agent Systems // Can a multi-agent system get better at orchestration without touching a single weight? Automatic MAS generation has been stuck between two bad options. Inference-time methods use frozen frontier models but never learn from past
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Complete course on agentic AI with LangChain and LangGraph
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One of the best courses on agentic AIs I have seen. Nearly 10 hours of excellent content. Covers LangChain, LangGraph, RAG, deepagents, guardrails, and more. Are there any other good Lang* resources for people interested in learning?
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Women use generative AI less due to moral concerns, study finds
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Research Finds Women Use #GenerativeAI Less, Due to Moral Concerns
by Martin Anderson @UniteAi Learn more: https://
bit.ly/4vSa7Jx #LLM #AI #ArtificialIntelligence #MachineLearning -
US government likely downloads AI models right after training
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a related point is that every time an AI lab finishes training a model, the US government probably downloads it over the wire immediately the idea that a five-year old AI lab has fully secured itself from nation-state hacking is a bit naive https://
x.com/willdepue/stat
/willdepue/status/2068118253633737077
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10 AI Concepts for Software Engineers
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10 #AI Concepts for Software Engineers by @systemdesignone #GenAI #ArtificialIntelligence #MachineLearning #ML #NLP