Would you say that brain is a modular system because the environment it's meant to model is modular? E.g. social systems as a collection of modules (humans).
Wouldn't this be exactly what you'd expect given that they are modular? Modular as in flexible and re-usable in different contexts for different purposes?
Why would more uncertainty = bigger cluster? Wouldn't uncertainty be expressed by using smaller clusters? I.e. if you're uncertain about a cluster you fall-back on a smaller subset of things that you are more certain pertain to that classification?
that last sentence ha
My biggest question as always is "what specific piece of evidence would make you change your mind"
Off the top of my head:
- LLMs becoming actually useful for hypothesis generation in my agent-foundations research.
- A measurable "vibe shift" where competent people start doing what LLMs tell them to (regarding business ideas, research directions, etc.), rather than the other way around.
- o4 zero-shotting games like Pokémon without having been trained to do that.
- One of the models scoring well on the Millennium Prize Benchmark.
- AI agents able to spin up a massive codebase solving a novel problem without human handholding / software engineering becoming "solved" /
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