T-Rex introduces a new set of basis hand motions to learn tactile responses:
AI
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Traditional manufacturing software vs AI-generated: bespoke in a week
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Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot pic.twitter.com/zkVkJWYcAZ
— Lucian Fogoros (@fogoros) 20 juin 2026Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot
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Generative media break visual Turing test: hope for truce
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Sigh. Unfortunately, it will only get worse as generative media shatter the visual Turing test. I hope that internal quarrels between traditional and neural computer graphics will cease.
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DeepMind and Google AI merger leads to unhappy researchers leaving
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Merging DeepMind and Google AI was a double-edged sword. It helped Google catch up, but it made a lot of researchers unhappy – and they're leaving.
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ColBERT outperforms on CPU with low latency for embeddings
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I'm talking about individual descriptions used for embeddings. It doesn't need to be particularly long for late interaction to perform better. The tradeoff really depends on the use case. In this case, even on a cheap CPU, the latency is so low that ColBERT just works better!
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Comparison of LLM, RAG, AIAgent, and MCP
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#LLM vs. RAG vs. #AIAgent vs. MCP
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Meta limits internal use of AI amid exploding token costs
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No more tokenmaxxing at Meta Meta is preparing to limit internal use of AI after employee token consumption surged so much that the company now expects internal AI costs alone to reach billions of dollars in
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Luke Alonso uploaded NVFP4 of GLM 5.2, 467GB on 4 DGX Sparks
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Luke Alonso has uploaded an NVFP4 of GLM 5.2 467GB, would fit on 4x DGX Sparks (~$20k)
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PixelRAG skips OCR by embedding screenshots directly into vectors
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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
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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.