DomainShuttle
— AK (@_akhaliq) 25 juin 2026
Freeform Open Domain Subject-driven Text-to-video Generation pic.twitter.com/QC9jYvfnnQ
DomainShuttle Freeform Open Domain Subject-driven Text-to-video Generation
MACHINE LEARNING
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DomainShuttle: Freeform Open Domain Subject-driven Text-to-Video
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CC/codex/opencode agents collaborating to improve Gemma 4
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Actually it was (CC/codex/opencode) agents collaborating to *improve* Gemma 4
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GPT-5.6-Preview Detected in ChatGPT Code for Enterprise Partners
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OPENAI : GPT-5.6-Preview has been spotted in the ChatGPT code. It was likely made available to certain partner Enterprises too. This also potentially means that it will remain in a limited preview state for some time. Not soon?
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AI identifies new CAR T target with in vivo proof
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Using AI to identify a new target for engineered T cells (CAR T) with proof-of -concept in experimental models in vivo
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MIT’s CALM helps robots stay on task after disturbances
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Even when a robot is doing predictable, everyday tasks, it can struggle to adjust to disturbances like collisions. MIT’s "CALM" helps them stay on task by tracking the motions of a few human demos & averaging them into a path that’s easy to stick to: https://
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Tapered LMs: Early layers write more, later layers refine
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“Tapered Language Models” Most LMs give every layer the same MLP width, but the paper shows this is probably wasteful. Early layers seem to write more new information into the residual stream, while later layers mostly refine what is already there. So instead of making the
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Help Eyal critique running LLM inference in browser
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who wants to help eyal poke holes in this approach to run LLM inference… in browser?
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Google reorganizes AI coding strike team into midtraining group
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Google is reorganizing its AI coding strike team as it tries to close the gap with Anthropic in one of the most lucrative parts of the AI market. According to The Information, the months-old team is being expanded into a more formal "midtraining" group, sitting between
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Edge AI reduces latency for responsive operations near data
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The goal is not to replace the cloud.
It’s to support decision-making closer to where data is generated. That’s where edge AI environments can help reduce latency and support more responsive operations. This is exactly what Edge Control from @TMobileBusiness is designed to -
Welcome to Open Source AI: Run Models Locally
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Welcome to Open Source AI: Run Your Own Models Locally https://t.co/XtkDdgeBOP
— Hugging Face (@huggingface) 25 juin 2026Welcome to Open Source AI: Run Your Own Models Locally