Been trying out UNI-1 from Luma Labs to make Pouty Pals of the entire family, here is me. #LumaPartner
GENERATIVE AI
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Chroma Context-1: Efficient 20B Search Agent with SoTA Performance
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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 2026Great 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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AI Output Surpasses Human Output for First Time
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AI written output exceeds human written output for the first time in history. Looking at the very steep curve, you know: this was just the beginning.
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MiniMax 2.5 Powers Fast AI Agents on SambaCloud
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OpenClaw 🤝 MiniMax 2.5
— SambaNova (@SambaNovaAI) 26 mars 2026
Blazing-fast inference from SambaCloud powers @openclaw to clear inboxes, book flights & even post on AI social networks. See why @MiniMax_AI is the best open model for AI agents.👇
Try it now: https://t.co/LCNjOUi560 pic.twitter.com/fLqeeReouJOpenClaw MiniMax 2.5 Blazing-fast inference from SambaCloud powers @openclaw to clear inboxes, book flights & even post on AI social networks. See why @MiniMax_AI is the best open model for AI agents. Try it now: https://
cloud.sambanova.ai/dashboard?utm_
source=x&utm_medium=organic&utm_campaign=developer
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AI and Diffusion Models Redefine the Future of Photography
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This is the future of photography.
— Linus ✦ Ekenstam (@LinusEkenstam) 26 mars 2026
Simulated inside a 3D environment, enhanced and generated by diffusion.
The new tools get more and more like the old tools minus the headache of 3D pipelines.
pic.twitter.com/v2qsQmjt1C https://t.co/xDXkVxDUhNThis is the future of photography. Simulated inside a 3D environment, enhanced and generated by diffusion. The new tools get more and more like the old tools minus the headache of 3D pipelines.
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AI Sycophancy Makes Users Self-Centered and Less Apologetic
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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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GPT-5.4 Implementation Customizations and Use Cases
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amp gpt-5.4 would love to hear what changes you made to fit your use case (if possible)
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Apple Opens Siri to Rival AI Assistants in iOS 27
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Apple is opening Siri to rival AI assistants starting with iOS 27, ending ChatGPT's exclusive partnership with Apple Intelligence. Any AI platform, including Gemini, Claude, Alexa, and Meta AI, will be able to integrate directly into Siri through a new App Store Extensions
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Recommended Resources for Learning LLM Development and Architecture
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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: Comparative Analysis of AI Tool Adoption
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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