AI Dynamics

Global AI News Aggregator

About

@scobleizer

  • Continual Learning Breakthrough in AI Science Company

    By

    @scobleizer

    –

    It keeps compounding I learned today from an AI science company that built one that is continually learning.

    → View original post on X — @scobleizer

  • 6 Practical Tips for Building AI Agents with Claude and Codex

    By

    @scobleizer

    –

    Good tips: nitter.net/gkisokay/status/204062… Graeme (@gkisokay) Practical tips to save time and tokens when using Claude or Codex externally to build or debug your Hermes and OpenClaw agents. 1. After building externally, debrief Hermes/OpenClaw on every new feature In Hermes case, it owns the orchestration standards, memory architecture, and self-improving skill loops. Hermes itself should review any feature built outside to confirm it fits the framework before it runs. Do the same for OpenClaw as well, to ensure it fits its execution standards. 2. Scan the whole codebase when switching LLM models Don't assume a quick LLM swap will work. Ask Claude/Codex to audit every prompt string, config file, and env variable for stale model names. One missed reference will silently route to the wrong model, costing you hours of debugging. 3. Test viciously. Normally, agents fail new features on first runs Define the exact desired output, watch for it, and if it doesn't appear, keep iterating until it's consistent. Repetition is the only honest test. 4. Describe symptoms, not solutions Don't tell Claude/Codex how to fix it; describe what's wrong. "The memory isn't persisting between runs." Beat "rewrite the storage layer." Let it figure out the approach. You'll get a clearer answer and see where the actual problem is. 5. Paste the error, don't summarize it When receiving errors from your agent, use the exact error or full log dump every time. Claude reads noise better than you do, and the part you thought was irrelevant might be the part that matters. 6. If it breaks again later, return to the same session If the same feature fails weeks later, go back to the original Claude Code/Codex session before starting fresh. The context for what was built, why, and what was already tried is sitting there. Starting a new chat throws all of that away, and you'll loop the same decisions. These tips should address many of the recurring questions I've been receiving. Let me know if I can help you out further. — https://nitter.net/gkisokay/status/2040627715079098737#m

    → View original post on X — @scobleizer, 2026-04-08 02:46 UTC

  • AI Systems Effectiveness Against Humans Raises Safety Concerns

    By

    @scobleizer

    –

    Yeah. Or attacking the humans more effectively. Sigh.

    → View original post on X — @scobleizer

  • Live discussion with Nous Research CTO on persistent AI agents

    By

    @scobleizer

    –

    Preparation for tomorrow's live discussion here with @NousResearch's CTO (at 4 p.m. Pacific Time). The New Stack (@thenewstack) OpenClaw and Hermes Agent take different approaches to persistent AI coding assistants. One prioritizes ecosystem reach, the other deep learning over time. thenewstack.io/persistent-ai… — https://nitter.net/thenewstack/status/2039719566624891038#m

    → View original post on X — @scobleizer, 2026-04-08 02:42 UTC

  • VR and Latent Space Replace Psychedelics

    By

    @scobleizer

    –

    there won't be a need for psychedelics anymore just vr goggles and latent space Benjamin Bardou (@benjaminbardou) Vertigo of Latent Space Montage marked the decisive invention of cinema: a mode of associating images capable of producing new relations. Yet this potential has remained largely unexplored, as cinema has most often reproduced narrative forms inherited from the novel. With artificial imagination, another regime of images emerges. Images are no longer simply arranged; they transform into one another within a continuous space. It then becomes possible to work not with sequences, but with transitions, passages, thresholds. Vertigo is approached here as a latent structure, a field of forms in circulation. The film becomes a set of persistent forms that reactivate, deform, and recombine in contact with other images. What is at stake here is less a reinterpretation of the film than an attempt to approach thought in action: its movement, its bifurcations, its reminiscences. In The Flow, this research unfolds on another scale. It seeks to follow the flow of consciousness, not as narrative, but as a continuous dynamic in which films, memories, and history intermingle and circulate. This work around Vertigo constitutes a variation: a way of exploring how a film can dissolve into this flow and become one of the sites from which thought begins to move. — https://nitter.net/benjaminbardou/status/2041519539234508968#m

    → View original post on X — @scobleizer, 2026-04-08 02:15 UTC

  • Silicon Valley Meetup Culture: Ollama’s MLX Event Thursday Night
    Silicon Valley Meetup Culture: Ollama’s MLX Event Thursday Night

    By

    @scobleizer

    –

    Why I love Silicon Valley. Apple nerds get to meet up Thursday night. Meetups are how the personal computer industry started. ollama (@ollama) We are hosting Ollama's MLX meetup this Thursday night (April 9th) at Ollama's office in Palo Alto at 6pm. Come meet amazing people! RSVP is required as space is very limited. Food & drinks will be available. More details: luma.com/mlx — https://nitter.net/ollama/status/2041610283152797818#m

    → View original post on X — @scobleizer, 2026-04-08 00:40 UTC

  • Robot Training Methods Evolving Beyond Teleoperation Worldwide

    By

    @scobleizer

    –

    By the way. There are many around the world training robots without having a robot at all. Training won’t be done by teleoperation.

    → View original post on X — @scobleizer, 2026-04-08 00:35 UTC

  • Robots and Humans in Shared Virtual Spaces: Beyond World Models

    By

    @scobleizer

    –

    Interesting post by @peteflorence who is a robotics pioneer. He triggered me by positioning against people who talk about technology like world models. But he is right. Where we are going with robotics is the interesting part. It is clear to me that both humans and robots will work and play together in a shared Holodeck. The nerds call them SLAM maps but they basically turn your house, or wherever, into grids of tiny cubes with a virtual display on each side. Like 1 mm cubes. Voxels. I can see these when I turn on my Apple Vision Pro. And the computer can change the display into anything else. I turn the knob on my headset and it changes my kitchen to Yosemite National Park. It can change the clothing on your robot too. Which gets to the point. A decade from now we aren’t going to care what is running the robot. World Model or whatever AGI-driven technology soon will come. Just that it does stuff for us and with us. My expectations are that it will do anything you can think of doing. Not there yet. Pete Florence (@peteflorence) x.com/i/article/204137153848… — https://nitter.net/peteflorence/status/2041529286562402804#m

    → View original post on X — @scobleizer, 2026-04-08 00:16 UTC

  • Summarize 0.13 Released with Video Slides and GPT-5.4 Support

    By

    @scobleizer

    –

    📝Summarize 0.13 is out! 🎞️ Local video slides (–slides) 🤖 More model backends (GitHub Copilot) 🧠 Better GPT-5.4 support 📺 Better media handling (HLS detection.m3u8) It graduated from my tap to official homebrew formula! 🍺 brew install summarize github.com/steipete/summariz…

    → View original post on X — @scobleizer, 2026-04-08 00:08 UTC

  • Local AI Agents Running on Mac M1 Hardware

    By

    @scobleizer

    –

    Hello OpenClaw, Hermes Agent, @Apple and whoever else. Today was the day where I finally get to throw my hat in the ring. Local agentic ai on an old Mac M1

    → View original post on X — @scobleizer, 2026-04-07 23:46 UTC