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Vishu Bheda

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Medial • 1m

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = memory • Orchestration of tools + compute = like how OS manages resources The ecosystem already looks like old OS battles: • OpenAI, Anthropic, Gemini = Windows/macOS • Llama, Qwen, DeepSeek = Linux • Apps (Cursor, Notion AI, etc.) = cross-platform, can run on any LLM backend Switching between GPT, Claude, or Gemini? → literally just a dropdown. But here’s the key insight: We’re basically back in the 1960s of computing. • Compute is expensive → everything lives in the cloud • Users are thin clients → just pinging infra over APIs • No GUI yet → prompting feels like a terminal • No universal shell → only apps, wrappers, hacks And unlike electricity, computers, or the internet (which started in govt/enterprise first)… LLMs went straight to consumers. Billions got access before big corporations even figured them out. That’s crazy. So no — LLMs aren’t just tools or APIs. They’re a foundational computing layer. A programmable OS for intelligence. We’re still very early. The personal LLM moment hasn’t happened yet… but it will.

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