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  • Fleet introduces shareable skills for team domain knowledge

    By

    @langchain

    –

    Fleet now has shareable skills. Capture your team's domain knowledge once, attach it to any agent, and share it across your workspace. Create skills from a prompt or previous chat, write them manually, or use a template. Read more: https://
    blog.langchain.com/skills-in-lang
    smith-fleet/?utm_medium=social&utm_source=twitter&utm_campaign=q1-2026_fleet-launch_aw
    …

    → View original post on X — @langchain

  • Tech creators overestimate consumer desire to create, not consume

    By

    @mattshumer_

    –

    People in tech are driven to create, and assume everyone else is too. Most of my friends outside of tech don't want to create. They don't want to build their own personal software stack And that's okay! If you disagree, just don't be surprised when your product isn't adopted. Ivan Burazin (@ivanburazin) OpenAI shutting down Sora is the most predictable outcome of misunderstanding consumer behavior. Everyone grossly overestimates how creative people want to be. 99% of humans simply want to scroll and zone out instead of spending energy conceptualizing, editing, and creating videos. No matter how much the barrier to creation is lowered by a single prompt. It still takes effort and a fair amount of creative thinking. Even Instagram has 2 billion users. But hardly ~10 million (or 0.5%) would be serious creators. So any AI consumer app betting on "with [new_app], everyone becomes a creator!" is being delusional and will go down the same way. After all the word "consumer" exists for a reason. They consume. They don't produce (or even want to lol) — https://nitter.net/ivanburazin/status/2036850600701276486#m

    → View original post on X — @mattshumer_, 2026-03-25 17:23 UTC

  • Claude Development Compared to ChatGPT Ambitions
    Claude Development Compared to ChatGPT Ambitions

    By

    @kimmonismus

    –

    They are developing Claude into the app that ChatGPT wanted to be.

    → View original post on X — @kimmonismus

  • AI-Powered Fraud Threats Outpace Organizational Response Capabilities

    By

    @sassoftware

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    Fraudsters don’t have governance committees or budget cycles. They just act. New research by @TheACFE + SAS asks whether organizations can move fast enough to keep up with #deepfakes & other AI-charged #fraud threats. Spoiler: most can’t yet.

    → View original post on X — @sassoftware

  • OpenAI Details Its Approach to Model Specification

    By

    @openai

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    More on our approach to the Model Spec: openai.com/index/our-approach-to-the-model-spec/ [Translated from EN to English]

    → View original post on X — @openai, 2026-03-25 17:20 UTC

  • OpenAI Explains Model Spec and AI Model Behavior
    OpenAI Explains Model Spec and AI Model Behavior

    By

    @openai

    –

    The more AI can do, the more we need to ask what it should and shouldn't do. OpenAI researcher @w01fe joins host @AndrewMayne to explore the Model Spec, the public framework that defines how models are intended to behave. They break down how it works in practice, from the chain of command that resolves conflicting instructions to the way it evolves over time through real-world use, feedback, and new model capabilities. [Translated from EN to English]

    → View original post on X — @openai, 2026-03-25 17:20 UTC

  • The AI Scientist Published in Nature with New Scaling Laws
    The AI Scientist Published in Nature with New Scaling Laws

    By

    @_yutaroyamada

    –

    When we released The AI Scientist, it felt like the far future. Fast forward to today, and the automation of research is on everyone's mind. Thrilled that our foundational work has been published in @Nature! Please check out the paper along with some fun new scaling laws! 😃 Sakana AI (@SakanaAILabs) The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature Nature: nature.com/articles/s41586-0… Blog: sakana.ai/ai-scientist-natur… When we first introduced The AI Scientist, we shared an ambitious vision of an agent powered by foundation models capable of executing the entire machine learning research lifecycle. From inventing ideas and writing code to executing experiments and drafting the manuscript, the system demonstrated that end-to-end automation of the scientific process is possible. Soon after, we shared a historic update: the improved AI Scientist-v2 produced the first fully AI-generated paper to pass a rigorous human peer-review process. Today, we are happy to announce that “The AI Scientist: Towards Fully Automated AI Research,” our paper describing all of this work, along with fresh new insights, has been published in @Nature! This Nature publication consolidates these milestones and details the underlying foundation model orchestration. It also introduces our Automated Reviewer, which matches human review judgments and actually exceeds standard inter-human agreement. Crucially, by using this reviewer to grade papers generated by different foundation models, we discovered a clear scaling law of science. As the underlying foundation models improve, the quality of the generated scientific papers increases correspondingly. This implies that as compute costs decrease and model capabilities continue to exponentially increase, future versions of The AI Scientist will be substantially more capable. Building upon our previous open-source releases (github.com/SakanaAI/AI-Scien…), this open-access Nature publication comprehensively details our system's architecture, outlines several new scaling results, and discusses the promise and challenges of AI-generated science. This substantial milestone is the result of a close and fruitful collaboration between researchers at Sakana AI, the University of British Columbia (UBC) and the Vector Institute, and the University of Oxford. Congrats to the team! @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru @jeffclune — https://nitter.net/SakanaAILabs/status/2036840833690071450#m

    → View original post on X — @_yutaroyamada, 2026-03-25 17:11 UTC

  • Codex App, Claude Desktop and Chrome Extension Launches

    By

    @lennysan

    –

    (Also, the Codex app, Claude desktop and Chrome extension, and OpenClaw)

    → View original post on X — @lennysan

  • Google AI Studio article shared via X platform link
    Google AI Studio article shared via X platform link

    By

    @officiallogank

    –

    Read more in our X article: nitter.net/GoogleAIStudio/status/… Google AI Studio (@GoogleAIStudio) x.com/i/article/203683454608… — https://nitter.net/GoogleAIStudio/status/2036845857690313085#m

    → View original post on X — @officiallogank, 2026-03-25 16:52 UTC

  • Lyria 3 Pro and Clip Music Models Launch in Gemini API

    By

    @officiallogank

    –

    Introducing Lyria 3 Pro and Lyria 3 Clip, our full song and 30 second music models, available starting today in the Gemini API and our all new music experience in @GoogleAIStudio!!

    → View original post on X — @officiallogank, 2026-03-25 16:50 UTC