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Moore’s Law for AI. Is there such a thing?

Moore's law is the observation that the number of transistors in an integrated circuit (IC) doubles about every two years.

Is there anything similar for the sophistication of AI, or AGI in particular?

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  • The advancements in this space have moved so fast, it's hard to extract a predictive model on where we'll end up and how fast it'll get there.

    Meta releasing LLaMA produced a ton of innovation from open source that showed you could run models that were nearly the same level as ChatGPT with less parameters, on smaller and smaller hardware. At the same time, almost every large company you can think of has prioritized integrating generative AI as a high strategic priority with blank cheque budgets. Whole industries (also deeply funded) are popping up around solving the context window memory deficiencies, prompt stuffing for better steerability, better summarization and embedding of your personal or corporate data.

    We're going to see LLM tech everywhere in everything, even if it makes no sense and becomes annoying. After a few years, maybe it'll seem normal to have a conversation with your shoes?

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