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Discussion on: The Day Transformers Stared Back at MeπŸ˜‚

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Thomas TS

I know a bit about non-linear systems. Usually represented by differential equations. They are retro feed systems where the output is redirected to the input. Many of those create what were named Fractals. Fractals can be understood as 'attractors', like the Lorentz's attractor for atmospheric numeric models. I was wondering if in an N-dimensional space of an embedding, meaning would produce fractals...

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Fonyuy Gita

That's a fascinating connection! πŸ€” Think of it like this: if words are stars in meaning-space, then maybe related concepts naturally cluster into beautiful spiral galaxies (fractals). Each time we feed context back into the transformer, we're like astronomers discovering new constellations of understanding. The universe of language might indeed have its own strange attractors

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Mike Angel

Wow 😳😲 Brilliant

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JulesCosta

waoh!

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Thomas TS

In fact, I had a very satisfactory conversation with GPT about this subject. If you are interested, let me know and we find a way to communicate.

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fonyuy jude

Let's go

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Thomas TS

I tried to find some way to contact you at Vercel, Github, Likedin, etc... but none of those places offer any lead about that. As I do not use Twitter, here is the only place to talk. Maybe we could talk at Discord: ttsoares#2710.

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Fonyuy Gita

search for me on Linkedin: fonyuy Gita

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Thomas TS

Fount it but can't send messages there are as I do not pay them.