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  • I would love to understand what the inputs actually are. Very neat visualization.
  • Thanks! This is inspires me to learn about AI / NN. Can you share some information on your tech stack?
  • Facts:

    - 14 Bytes does not include the runtime! - All that counts towards the 14 Bytes is the model weights - Lack of git history is because my actual repo is private, this is just the frontend for now + models

  • Neat! Maybe consider doing a longer postmortem/blog post on this.

    Small bit of feedback: it might help to add an explicit small (i) icon for areas which contain tooltips especially for interfaces (phones) that don't support hover events. I discovered that the models (such as pareto-r1) had additional information by complete accident~

  • If your goal is to get the network as small as possible, you could try using NEAT[1]. A cool example of a small network for a hard task using NEAT is MarI/O[2].

    [1]: https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_t...

    [2]: https://www.youtube.com/watch?v=qv6UVOQ0F44

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