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The Pulse of Motion
— AK (@_akhaliq) 26 mars 2026
Measuring Physical Frame Rate from Visual Dynamics
paper: https://t.co/oQ3KAPx225 pic.twitter.com/Zg86MJt0qW
The Pulse of Motion Measuring Physical Frame Rate from Visual Dynamics paper: https://
huggingface.co/papers/2603.14
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Great work by Chroma training a search agent with SoTA efficiency. Lots of cool details: a prune tool for editing context mid-search, a synthetic data pipeline with verification steps, and a curriculum that shifts from recall to precision. Trained with Tinker! https://t.co/csp0FoXCtH
— John Schulman (@johnschulman2) 26 mars 2026
Great work by Chroma training a search agent with SoTA efficiency. Lots of cool details: a prune tool for editing context mid-search, a synthetic data pipeline with verification steps, and a curriculum that shifts from recall to precision. Trained with Tinker! Chroma (@trychroma) Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source — https://nitter.net/trychroma/status/2037243681988894950#m
→ View original post on X — @soumithchintala, 2026-03-26 20:09 UTC
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So excited that our work is on the cover of Science!!! We find that AI models overly affirm users, even when they describe harmful actions. Advice from sycophantic AI made people more self-centered, yet people prefer and trust it more, which may promote this model behavior. Myra Cheng (@chengmyra1) AI always calling your ideas “fantastic” can feel inauthentic, but what are sycophancy’s deeper harms? We find that in the common use case of seeking AI advice on interpersonal situations—specifically conflicts—sycophancy makes people feel more right & less willing to apologize. — https://nitter.net/chengmyra1/status/1974244768919282135#m
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Maybe my Build A Large Language Model From Scratch book would be a good start for the foundation: https://
amzn.to/4fqvn0D
Followed by my LLM architecture comparison article: https://
magazine.sebastianraschka.com/p/the-big-llm-
architecture-comparison
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Claude vs Codex – who is winning? The best data I could find to do a fair comparison between the two. It is not ideal, but some rough indication: – Usage: NPM and Homebrew installs – Footprint: repos with .claude/ or .codex/ – And of the repos how many are being actively
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Introducing Chroma Context-1, a 20B parameter search agent.
— Chroma (@trychroma) 26 mars 2026
> pushes the pareto frontier of agentic search
> order of magnitude faster
> order of magnitude cheaper
> Apache 2.0, open-source pic.twitter.com/bhAkULyBBn
Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source
→ View original post on X — @thom_wolf, 2026-03-26 19:01 UTC
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Data engineers want AI in their ETL workflows without adding complexity.
— Databricks (@databricks) 26 mars 2026
With Lakeflow and Agent Bricks AI functions, teams can apply AI directly inside data pipelines to process unstructured data, automate repetitive tasks, and turn raw inputs into usable signals at scale.… pic.twitter.com/EjH5aRN8Oi
Data engineers want AI in their ETL workflows without adding complexity. With Lakeflow and Agent Bricks AI functions, teams can apply AI directly inside data pipelines to process unstructured data, automate repetitive tasks, and turn raw inputs into usable signals at scale.
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Gemini 3.1 Flash Live is our highest quality audio & voice model yet – and a big leap towards building next-gen voice-first agents. Lower latency, better precision, more natural interactions… try it now with Gemini Live in the @GeminiApp or build with it in @GoogleAIStudio! https://t.co/JIqaaVlTuM
— Demis Hassabis (@demishassabis) 26 mars 2026
Gemini 3.1 Flash Live is our highest quality audio & voice model yet – and a big leap towards building next-gen voice-first agents. Lower latency, better precision, more natural interactions… try it now with Gemini Live in the @GeminiApp or build with it in @GoogleAIStudio! — Google DeepMind (@GoogleDeepMind) Say hello to Gemini 3.1 Flash Live. 🗣️ Our latest audio model delivers more natural conversations with improved function calling – making it more useful and informed. Here's what's new 🧵 [Translated from EN to English]
→ View original post on X — @demishassabis, 2026-03-26 18:53 UTC
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but they are transformer? pls elaborate
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CUA-Suite
— AK (@_akhaliq) 26 mars 2026
Massive Human-annotated Video Demonstrations for Computer-Use Agents
paper: https://t.co/hi1WnffQSY pic.twitter.com/ACjYOPcDzH
CUA-Suite Massive Human-annotated Demonstrations for Computer-Use Agents paper: https://
huggingface.co/papers/2603.24
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