True if you round-trip through OCR to markdown, that's where the token cost piles up. But PixelRAG skips that. The screenshot gets embedded straight into a vector for retrieval, no image to text step in the pipeline. The VLM only reads pixels at the end, on the few tiles it
LLMS
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RAG stacks still convert pages to text, but vision models are catching up
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Same, you'd think it was the default by now. But most RAG stacks still parse pages to text first, mostly because vision models were too slow and pricey to run at scale until pretty recently. That window is closing fast now.
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Two-month pinned threads and recall of important elements
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Yeah! I had pinned threads that continued for more than two months and codex still remembers all the important elements. Otherwise, it searches for important elements by scanning the session itself.
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GPT-5.6: a great positive surprise ahead
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I have the feeling that GPT-5.6 will be a great positive surprise. Let us recall the information about GPT-5.6: "The company is separately preparing to launch a new AI model, codenamed 5.6, which will represent a 'significant improvement' over the flagship"
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Betting on GLM 6 with new pre-training optimizations
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I am betting big time on GLM 6 There are many recent papers with great pre-training optimizations (e.g. DSv4) Now, if Zhipu uses some of that (+ their own novel research), and top it off with their current post-training regime, we're looking at an amazing SOTA in the making
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PixelRAG: skip HTML parsing, screenshot for RAG
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STOP PARSING HTML FOR RAG. JUST SCREENSHOT IT Researchers from UC Berkeley just released PixelRAG, an open-source system that skips HTML parsing entirely. Why is it changing web scraping for good? Well, instead of scraping a page into text and embedding chunks: #1 it
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Run a Local LLM with OpenClaw on Your Mac Mini
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Run a Local LLM with OpenClaw on Your Mac Mini! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Building LLM Applications with DSPy
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Building LLM Applications with DSPy! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Books #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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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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