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Vishu Bheda

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Medialย โ€ขย 4m

๐—œ ๐˜€๐—ฝ๐—ฒ๐—ป๐˜ ๐Ÿฐ+ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€ ๐—ฟ๐—ฒ๐˜„๐—ฎ๐˜๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐—ž๐—ฎ๐—ฟ๐—ฝ๐—ฎ๐˜๐—ต๐˜†โ€™๐˜€ ๐—ฌ๐—– ๐—ธ๐—ฒ๐˜†๐—ป๐—ผ๐˜๐—ฒ. And I realized โ€” weโ€™ve been looking at LLMs the wrong way. Theyโ€™re not just โ€œAI models.โ€ Theyโ€™re a new kind of computer. โ€ข LLM = CPU โ€ข Context window = memory โ€ข Orchestration of tools + compute = like how OS manages resources The ecosystem already looks like old OS battles: โ€ข OpenAI, Anthropic, Gemini = Windows/macOS โ€ข Llama, Qwen, DeepSeek = Linux โ€ข Apps (Cursor, Notion AI, etc.) = cross-platform, can run on any LLM backend Switching between GPT, Claude, or Gemini? โ†’ literally just a dropdown. But hereโ€™s the key insight: Weโ€™re basically back in the 1960s of computing. โ€ข Compute is expensive โ†’ everything lives in the cloud โ€ข Users are thin clients โ†’ just pinging infra over APIs โ€ข No GUI yet โ†’ prompting feels like a terminal โ€ข No universal shell โ†’ only apps, wrappers, hacks And unlike electricity, computers, or the internet (which started in govt/enterprise first)โ€ฆ LLMs went straight to consumers. Billions got access before big corporations even figured them out. Thatโ€™s crazy. So no โ€” LLMs arenโ€™t just tools or APIs. Theyโ€™re a foundational computing layer. A programmable OS for intelligence. Weโ€™re still very early. The personal LLM moment hasnโ€™t happened yetโ€ฆ but it will.

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