“it sounds like a lot of what you’re using openclaw for is to improve how you use openclaw” yea
AGI
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Multimodal AI model gains text-to-video and image-to-video
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2. Upgraded audio. You can now pinpoint the exact character speaking.
— Robert Scoble (@Scobleizer) 11 février 2026
3. Much improved text. Precise lettering capabilities. Great for making visuals for slide decks and web sites. And, of course, X posts.
4. Unified model. You can do text-to-video. Image-to-video.… pic.twitter.com/tYde4uzBt42. Upgraded audio. You can now pinpoint the exact character speaking. 3. Much improved text. Precise lettering capabilities. Great for making visuals for slide decks and web sites. And, of course, X posts. 4. Unified model. You can do text-to-video. Image-to-video.
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AI transition as human civilization terminus ignored ten years ago
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In hindsight it's pretty crazy that even as recently as ten years ago no one took the AI transition as the terminus of human civilization very seriously. Not even the majority of "futurists".
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Warp launches Oz for agent orchestration
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Warp launched Oz platform for agent orchestration, where users can deploy their SWE agents and skills into isolated environments. https://t.co/w2Kv5P1mz4 pic.twitter.com/ed9G9ze2dU
— 🚨 AI News | TestingCatalog (@testingcatalog) 10 février 2026Warp launched Oz platform for agent orchestration, where users can deploy their SWE agents and skills into isolated environments.
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AI-driven speed pressure in content creation
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There's another thing I'm noticing: the entire speed here on X has sped up. Because AI can create things for you, it creates a competition of some kind where you feel a lot of pressure to get things done, ship things, and post things. It's a unique pressure that I haven't felt
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Local AI System Execution with OpenClaw
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@openclaw isn't another LLM. It's a way to run an entire AI system locally.
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World Models: AI Systems for Environmental Prediction
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For our free newsletter this week, we talk about the significance of World Models.
@IrenaCronin and I write this newsletter every week.
World Models are AI systems that learn how an environment changes over time so an agent can predict what happens next and plan actions, -
Understanding Learning Processes Beyond Single Environment Solutions
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If your problem can be solved that way, great! It is a Tool That Works. However, the challenges around single environment, limited sample regimes should still call into question our level of understanding of the basic learning process, and deeper understanding there is plausibly
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New book: Agentic Architectural Patterns for Multi-Agent AI Systems
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New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at https://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 -
Global Metric for Autonomous AI Agents Beyond LLMs
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We need a new global metric – like GDP, population size, equality index – but for autonomous AI agents. Not LLMs. Not scripted bots. Not even Claude Code-like agents. Agents with identity, running 24/7 nonstop, with real goals, tools, evolving personality, memory, learning.