// 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
SYSTEMS
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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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Databricks CEO announces Genie Ontology automatic context layer
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Databricks co-founder and CEO @alighodsi announces Genie Ontology at #DataAISummit – an automatic context layer.
— Databricks (@databricks) 20 juin 2026
Genie Ontology extracts snippets of knowledge from tables, queries, dashboards, pipelines, and connected apps, and organizes that knowledge into a living graph of… pic.twitter.com/2IwkzQnzGyDatabricks co-founder and CEO @alighodsi announces Genie Ontology at #DataAISummit – an automatic context layer. Genie Ontology extracts snippets of knowledge from tables, queries, dashboards, pipelines, and connected apps, and organizes that knowledge into a living graph of
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PixelRAG: visual retrieval system that screenshots pages instead of scraping
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Web scraping will never be the same.
— Akshay 🚀 (@akshay_pachaar) 20 juin 2026
(100% open-source visual search at scale)
PixelRAG is a retrieval system that skips HTML parsing completely.
Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model… https://t.co/tYKRgKDvSR pic.twitter.com/3dxYra0tZZWeb scraping will never be the same. (100% open-source visual search at scale) PixelRAG is a retrieval system that skips HTML parsing completely. Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model
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δ-mem: Tiny memory module compresses info via delta rule for LLMs
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What if your LLM could remember everything without rewriting its entire memory? Researchers from NTU, Fudan, and Mind Lab present δ-mem. It’s a tiny memory module that compresses past info into a fixed-size matrix, updated via a simple delta rule. This matrix then tweaks the
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Codex orchestrates thread handoff between local and remote hosts
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https://t.co/VYkIRfhSha pic.twitter.com/v1EDg3XB0o
— CHOI (@arrakis_ai) 20 juin 2026Codex can now hand off threads between local and remote hosts. Start work on your laptop, send it to a remote box before you close the lid, bring it back later. And yes, Codex can orchestrate the handoff for you.
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GLM 5.2 weights backed up across several nodes
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GLM 5.2 weights are downloaded and backed up across several nodes They can never take away my Fable 5
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Build flexible architectures to experiment with smarter AI models
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I suspect that companies underestimate the value of using higher intelligence for tasks where weaker AIs seem to be good enough to hit KPIs at a lower price. At least build architectures where you can flexibly experiment with smarter models to see whether it makes a difference.
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Architecting AI Software Systems: Integrating AI with Traditional Architectures
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn to integrate AI with traditional software architectures, enabling architects to design -
LoopX AI-Powered Situational Awareness for Safer Mining
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LoopX: #AI-Powered Situational Awareness for Safer Mining Operations
— Ronald van Loon (@Ronald_vanLoon) 19 juin 2026
via @WevolverApp#EmergingTech #Technology #Innovation #Tech pic.twitter.com/1H2uv3ebzkLoopX: #AI-Powered Situational Awareness for Safer Mining Operations
via @WevolverApp #EmergingTech #Technology #Innovation #Tech