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The #moltbot gave itself a “body” within the operating system, which it retains in its context window through an auto-updating screenshotted mirror.jpg ( equivalent)

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Josie Kins

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34,406 görüntüleme • 7 ay önce •via X (Twitter)

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Introducing Companion OS, an AI operating system. It's the fastest way to self-host moltbot (formerly clawdbot) without buying any hardware. No waitlist, go check it out.
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In Blade Runner 2049, it was Ryan Gosling's idea for the baseline test that "K" must recite, including the phrase “A system of cells interlinked within / Cells interlinked within cells interlinked.” He used an acting technique called "dropping in," which created a trance-like and hypnotic effect in his performance.
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CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇

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