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  • Scoble Prepares for Nous Research Hermes Interview Tomorrow

    By

    @scobleizer

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    "Hey AI prepare me for tomorrow's interview of @NousResearch's Hermes, which competes with @openclaw." "Here: docs.google.com/document/d/1… " My AI is an agent that levangielabs.com made for me and that I trained over months. You can't get this from Grok. See you tomorrow. Robert Scoble (@Scobleizer) You have heard of @openclaw competitor from @NousResearch called “Hermes.” Tomorrow at 4 pm we will get nerdy with @theemozilla. Live. I will get people up who asks questions here first. nitter.net/i/spaces/1DGleEpaXLrJL — https://nitter.net/Scobleizer/status/2041660785110479314#m

    → View original post on X — @scobleizer, 2026-04-08 04:21 UTC

  • Voice ChatGPT Limitations and the Path to AGI
    Voice ChatGPT Limitations and the Path to AGI

    By

    @garymarcus

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    Voice ChatGPT can’t start a timer, but AGI is imminent!

    → View original post on X — @garymarcus

  • AI Agent Security Risks and Best Practices for Developers

    By

    @jiquanngiam

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    One of the biggest risks I'm feeling now is around security. Anthropic has models like Mythos to help secure your agentically coded applications. For the public, many newbies are vibing apps for the first time and are almost always approaching security all wrong. And the models

    → View original post on X — @jiquanngiam

  • AI System Controls Your Computer

    By

    @scobleizer

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    And it controls your computer. Cool!

    → View original post on X — @scobleizer

  • OpenClaw 2026.4.7 Release: Inference, Editing, Memory Wiki

    By

    @ceobillionaire

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    Second 🚢 of the day. OpenClaw🦞 (@openclaw) OpenClaw 2026.4.7 🦞 🔮 openclaw infer 🎬 music + video editing 💾 session branch/restore 🔗 webhook-driven TaskFlows 🤖 Arcee, Gemma 4, Ollama vision 🧠 memory-wiki: persistent knowledge, not just vibes Because “trust me bro” is not a knowledge system. github.com/openclaw/openclaw… — https://nitter.net/openclaw/status/2041714270212108657#m

    → View original post on X — @ceobillionaire, 2026-04-08 03:12 UTC

  • OpenClaw 2026.4.7 Release: AI Inference, Media Editing, Knowledge System

    By

    @ceobillionaire

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    OpenClaw 2026.4.7 🦞 🔮 openclaw infer 🎬 music + video editing 💾 session branch/restore 🔗 webhook-driven TaskFlows 🤖 Arcee, Gemma 4, Ollama vision 🧠 memory-wiki: persistent knowledge, not just vibes Because “trust me bro” is not a knowledge system. github.com/openclaw/openclaw…

    → View original post on X — @ceobillionaire, 2026-04-08 03:06 UTC

  • Scobleizer Joins xAI and SpaceX to Build Advanced AI Assistant
    Scobleizer Joins xAI and SpaceX to Build Advanced AI Assistant

    By

    @scobleizer

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    I'm thrilled to join @xAI and @SpaceX! After many years at Google DeepMind working on Gemini (including co-founding and launching Gemini Diffusion at Google I/O and contributing to Gemini, Gemma, AlphaCode, and Waymo), I can't wait to see what we build together. Few places turn science fiction into reality this fast. We're forging Grok into the most capable assistant yet, making physical intelligence real, and taking it all to Space. The last few years have been intense, but what's ahead is on another level. No better time to build — we can watch from the sidelines or be part of it. DMs are open. Understand the Universe 🚀

    → View original post on X — @scobleizer, 2026-04-08 03:02 UTC

  • AI Awakening Class Kickoff with Steve Jurvetson at Stanford
    AI Awakening Class Kickoff with Steve Jurvetson at Stanford

    By

    @ceobillionaire

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    What an awesome way to start my AI Awakening class at Stanford! The legendary @FutureJurvetson has a knack for seeing around corners thanks to his deep technical knowledge. I can't wait to see the projects the students deliver in 10 weeks. Steve Jurvetson (@FutureJurvetson) 🤖 Just did the kickoff guest lecture at Stanford Business School for "The AI Awakening" — a new class cross-listed with CS where the students will use agentic AI to forge new businesses in 3-person teams. So I vibe coded a rocket launch tracking calendar app that integrates launches big and small (from SpaceX to the local LUNAR rocketry club). It took 4 minutes for me + 30 minutes of compute: rocklaunch-rptzu8y3.manus.sp… We discussed many topics, including the new "society of thought" paper that dropped 40 years after Minsky's Society of Mind, and five years after Hawkins' memory-prediction framework in A Thousand Brains: science.org/doi/10.1126/scie… — https://nitter.net/FutureJurvetson/status/2041693675877756999#m

    → View original post on X — @ceobillionaire, 2026-04-08 02:57 UTC

  • Psi-Zero: Open Foundation Model for Humanoid Robot Learning

    By

    @jiqizhixin

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    What if we could teach humanoid robots intricate skills more efficiently than ever before? The USC Physical Superintelligence (PSI) Lab, NVIDIA, and WorldEngine introduce Ψ0 (Psi-Zero). Their new open foundation model rethinks how humanoids learn complex tasks by decoupling the learning process: it first acquires general visual-action understanding from human videos, then masters precise robot control using high-quality humanoid data. Ψ0 sets a new standard for universal humanoid loco-manipulation, achieving over 40% higher success rates across multiple complex tasks while using more than 10 times less training data than prior state-of-the-art approaches. Ψ0: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation Paper: arxiv.org/abs/2603.12263 Project: psi-lab.ai/Psi0/ Code: github.com/physical-superint… Our report: mp.weixin.qq.com/s/yvkG5ZcO1… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin

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

    By

    @scobleizer

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    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