Cybercab has started production pic.twitter.com/MAeswanf96
— Elon Musk (@elonmusk) 24 avril 2026
Cybercab has started production
AI
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Tesla Cybercab Enters Production Phase
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Tesla AI Autonomous Driving Saves Lives at Scale Daily
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Tesla AI is where the rubber hits the road. “Make no mistakes” is not just a meme joke for self-driving AI. Tesla AI saves lives every day, at large scale. No other AI team can yet make that claim.
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Codex App Transforms Into Something Fundamentally New
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codex app is becoming something fundamentally new
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User Wants More AI Content on Social Media Feed
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im seeing so many irrelevant clips on x lately. I want my fy-page filled with AI stuff the way it was and not a second tiktok 🙁 this really makes me sad.
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Architectural Principles for Building AI Agents and Automations
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What this means practically for anyone building agents, prompts, or automations right now: – Stop treating memory as a storage problem – Stop renting your agent's intelligence from the labs – Instrument outcomes, not just inputs – Every interaction should be a labeled
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The Architectural Trade-off Between Retrieval and Learning Systems
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The moat math is brutal once you see it. A retrieval system plateaus at the quality of its extractor. As good on day 1,000 as day 1. And most of what it "knows" belongs to whichever lab hosts it. A learning system you control compounds every interaction into a corpus of (state
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The Strategic Risks of AI Agent Dependency and Model Lock-in
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Think about what that means on a 2-year horizon: – Your agent's accumulated intelligence is stuck in one provider – Switch models, lose the learning – Pricing page changes, your moat changes with it – They deprecate a feature, your product bleeds The intelligence you thought
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The Risks of AI Agent Data Lock-in and Model Dependency
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every major model provider wants you hooked to them. Not to your agent. Not to your data. To them. The more your agent "remembers" inside their walls, the less of it is actually yours. You're not building a moat. You're renting one.
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Critique of platform lock-in strategies in AI memory features
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Now look at what the labs are actually shipping: Useful? Sure.
But notice where the memory lives. Inside their platform. Tied to their models. Portable nowhere. Every "memory" feature the big labs ship is designed to make leaving more expensive.