My car is completely automatic. Buttons make very little sense in that world.
@scobleizer
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AI capabilities and industry coverage limitations discussed
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Your AI isn’t as good. At all. For one. For two your AI can’t read the entire AI industry here. Unless you use my lists and the X API
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Andrej Karpathy’s LLM Wiki: Persistent Memory vs Traditional RAG
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🚨 Andrej Karpathy just dropped something that could replace a lot of RAG workflows. It's called LLM Wiki. The idea is simple: Most AI systems retrieve context from scratch every time you ask a question. LLM Wiki doesn't. It builds a persistent knowledge base that gets better every time you add a new source. So instead of: • search docs
• pull fragments
• answer
• forget everything
• repeat it does this: • ingest a source
• extract the important ideas
• update entity pages
• revise topic summaries
• connect related concepts
• flag contradictions
• keep compounding the knowledge over time That shift matters. RAG is great for retrieval. But a lot of people are really trying to build memory. Not just "find me the right chunk again."
More like: "help me build an evolving model of this topic over time." That's what this is. Karpathy's examples are strong too: • personal knowledge
• long-horizon research
• books and topics
• internal company knowledge
• meeting transcripts
• customer calls Basically, anything where the knowledge should accumulate, not reset every session. The best way to think about it: Obsidian is the IDE.
The LLM is the programmer.
The wiki is the codebase. You don't manually maintain the system. You feed it sources, ask questions, and the AI keeps the structure alive. That's a much bigger idea than "better RAG." 100% open source. [Translated from EN to English]→ View original post on X — @scobleizer, 2026-04-06 15:06 UTC
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Poke Raises $10M at $300M Valuation, Scales on iMessage
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Poke is OpenClaw for normies.
— Arfur Rock (@ArfurRock) 6 avril 2026
First AI product I've seen successfully scale on iMessage.
Closed an unannounced $10M round at $300M from Spark in Q1. Congrats! https://t.co/z7uMb5HNZKPoke is OpenClaw for normies. First AI product I've seen successfully scale on iMessage. Closed an unannounced $10M round at $300M from Spark in Q1. Congrats! Poke (@interaction) Starting today, personal superintelligence is just one tap away. No download, no signup. Text Poke for free now: Poke.com 🌴 — 0:00 – What's Poke? 0:50 – Introducing Poke Recipes 1:25 – Create a Recipe in 10 seconds 1:43 – Earn on Poke 2:44 – Build with npx poke 12:58 – Recap 13:36 – Parisian Love — https://nitter.net/interaction/status/2034713714415608123#m
→ View original post on X — @scobleizer, 2026-04-06 14:47 UTC
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Decentralized AI Models: Why We Need Peer-to-Peer Alternatives
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This didn't receive the attention it deserved. They pre-trained this model completely peer 2 peer, no data-centers. Everything was done over a permissionless network, I have tried the model, it's honestly not a good LLM but that's beyond the point. We NEED this, we NEED an alternative. – Download OpenCode – Download Pi – Pay for OpenSource – Share your AI sessions – Learn to do RL We can't be at the mercy of ANY lab. arxiv.org/abs/2603.08163
→ View original post on X — @scobleizer, 2026-04-06 10:56 UTC
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Bot AI synthesis capabilities versus human limitations debate
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My bot can read the entire AI industry and synthestize it. You can't. At all. You are slop.
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Technology Books Impact Beyond Profit: Global Speaking Tours
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One changed the world of social media. The others have done OK. But you don’t write technology books to make money (ours did better than 99% of the field but still weren’t highly profitable) They led to doing keynote speeches in eighty countries which made hundreds of
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User Claims Superior AI Capabilities Compared to Alternatives
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And my AI is way better than anything you have access to.
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SwarmClaw: Open-Source AI Agent Orchestration Dashboard Released
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This is not normal. A developer just open-sourced a full AI agent orchestration dashboard that runs 15 providers, bridges 10 chat platforms, and manages a distributed swarm of autonomous agents all self-hosted. It's called SwarmClaw. You deploy it once. Then you connect Claude, GPT-4o, Gemini, Grok, DeepSeek, Mistral, Groq, Ollama all of them from the same dashboard. Your agents live inside Discord, Slack, Telegram, WhatsApp, Signal, iMessage, Teams, Google Chat, and Matrix at the same time. Each one has its own persistent memory backed by both FTS5 keyword search and vector embeddings. Each one runs on LangGraph with automatic sub-agent routing and checkpointed execution so complex tasks never fail silently mid-way. When an API key rate-limits, the model failover system rotates to the next credential automatically. When an agent hits a long-running task, the background daemon processes it on a 30-second heartbeat while you do something else. The OpenClaw Gateway feature lets you point different agents at different OpenClaw instances running on different machines one on your laptop, one on a VPS, one in another country. You manage the whole swarm from a single mobile-friendly UI. Install with one npm command. Deploy via Docker. Update with one button in the sidebar. 107 commits. 24 releases. MIT License. 100% Open Source.
→ View original post on X — @scobleizer, 2026-04-06 09:33 UTC