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  • AI Scientist: Open-source implementations for automated research lifecycle

    Building systems that can execute the scientific research lifecycle has been an incredible journey for our team. For those interested in diving in, we released our implementations for both versions of The AI Scientist: ⸻ V1: github.com/SakanaAI/AI-Scien… V2: github.com/SakanaAI/AI-Scien… ⸻

    → View original post on X — @hardmaru, 2026-03-26 16:30 UTC

  • AI Scientist Nature Paper and Code Released Open Access
    AI Scientist Nature Paper and Code Released Open Access

    The full Nature paper is open access. For those interested in more details, you can read the PDF directly here: https://
    nature.com/articles/s4158
    6-026-10265-5.pdf
    … We also released the code for both AI Scientist versions for the community to explore. V1: https://
    github.com/SakanaAI/AI-Sc
    ientist

    V2: https://
    github.com/SakanaAI/AI-Sc
    ientist-v2

    → View original post on X — @sakanaailabs

  • Neuralink N1 Implant Converts ALS Patient’s Thoughts to Speech

    "I'm speaking to you with my mind." This sentence was just spoken by Kenneth Shock. A patient with ALS. Without moving his mouth. Without moving a single muscle. Just by thought. Neuralink has just demonstrated that its N1 implant can convert brain activity into audible

    → View original post on X — @vision_ia

  • AI Service Pricing Strategy During Waitlist Phase

    we are figuring it out! cost to run it is high, but we want to make it as accessible as we can. will include it in the base @every subscription for now while we get people off the waitlist and follow up quickly with permanent pricing!

    → View original post on X — @danshipper

  • Voxtral TTS: Open-source, fast, 9 languages

    Voxtral TTS by @MistralAI is officially out! Open-source and fast TTS model with a support of 9 languages!

    → View original post on X — @testingcatalog

  • Agents Need CLI-First Service Provisioning, Not Web UIs

    When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc… I am really looking forward to a day where I could simply tell my agent: "build menugen" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human. It's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction! Patrick Collison (@patrickc) When @karpathy built MenuGen (karpathy.bearblog.dev/vibe-c…), he said: "Vibe coding menugen was exhilarating and fun escapade as a local demo, but a bit of a painful slog as a deployed, real app. Building a modern app is a bit like assembling IKEA future. There are all these services, docs, API keys, configurations, dev/prod deployments, team and security features, rate limits, pricing tiers." We've all run into this issue when building with agents: you have to scurry off to establish accounts, clicking things in the browser as though it's the antediluvian days of 2023, in order to unblock its superintelligent progress. So we decided to build Stripe Projects to help agents instantly provision services from the CLI. For example, simply run: $ stripe projects add posthog/analytics And it'll create a PostHog account, get an API key, and (as needed) set up billing. Projects is launching today as a developer preview. You can register for access (we'll make it available to everyone soon) at projects.dev. We're also rolling out support for many new providers over the coming weeks. (Get in touch if you'd like to make your service available.) projects.dev — https://nitter.net/patrickc/status/2037190688950161709#m

    → View original post on X — @karpathy, 2026-03-26 16:10 UTC

  • American versus Chinese robot training philosophies compared

    “American [robots] practice ten thousand kicks once; Chinese [robots] practice one kick ten thousand times.” Chang Che (@Changxche) x.com/i/article/203698996541… — https://nitter.net/Changxche/status/2036992012814278825#m

    → View original post on X — @ken_goldberg, 2026-03-26 16:10 UTC

  • Gemini 3.1 Flash Live Launches with Native Audio Understanding
    Gemini 3.1 Flash Live Launches with Native Audio Understanding

    📢 Another exciting step forward today with the launch of Gemini 3.1 Flash Live. It natively understands audio, making it much more capable of handling complex instructions. It leads on ComplexFuncBench, and on Scale AI’s AudioMultiChallenge, demonstrating skill in complex instruction following and long-horizon reasoning amidst the interruptions of real-world audio. That means the model can pick up on nuances like pitch and pace, leading to much more fluid, high-fidelity voice interactions. It’s now powering Gemini Live and Search Live globally. Huge congrats to the teams that made this possible. ✨ blog.google/innovation-and-a…

    → View original post on X — @jeffdean, 2026-03-26 16:09 UTC

  • Engineers Hiring Now: Roles, Locations, and Applications

    Who’s hiring engineers right now? Reply with the role, location, and how to apply.

    → View original post on X — @lennysan

  • Replicate releases Cog 0.17.0 for ML model containerization

    a lot of people wondering what we've been up to after @replicate joined @Cloudflare . excited to share one of the major releases we've been working on together — cog 0.17.0 cog is an open-source tool to package up machine learning models into containers. it abstracts away the hard parts like CUDA dependency hell, optimizes model environments, and automatically creates an HTTP server that's ready to serve inference. you can deploy a cog container anywhere a Docker container runs, which includes your own k8s cluster, replicate, and soon…. workers ai. for now, enjoy this piece of the puzzle and a wonderful engineering story. we have lots more that we're working on and excited to bring to life! github.com/replicate/cog/rel…

    → View original post on X — @replicate, 2026-03-26 16:08 UTC