Tiny Brains

AI

neural network competition platform

SHOW HN2026

116points
41comments
#584of 4,366 in 2026
Top 14%of 2026 by points

How HN took it

CuriousMostly questions and neutral comments

5 positive, 9 neutral or asking, 1 mixed, 2 critical, out of 17 comments about the project. Thread score +0.09.

Idea: 2 for, 0 againstDocs: 0 for, 2 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Nostalgic link to the Google Ants AI Challenge.

    From 2 comments
    • From competing with the world to building a place for the world to compete—what a full-circle moment. Love the challenge: how much strategy can a tiny neural network learn?…
      Muthaalagan on HN
    • Nice. I was 72nd. Working in AI research today and still making ai for games as a hobby (tfmbot.com is an ai i’m working on for my favourite board game terraforming mars).
      AnotherGoodName on HN
  • Fun concept with small network size focus.

    From 3 comments

Objections

  • Documentation was ambiguous and AI-sounding, especially weight class rules.

    From 2 comments
    • Cool idea! It would help to delete all the text on the page, and write it without AI. For example, "model and manifest bytes together pick the class; every version also plays on…
      lostdog on HN
    • > Your class is measured, not chosen > model and manifest bytes together pick the class What? How hard is it to write something like "your weight class is determined by the total…
      vova_hn2 on HN
  • Hard PyTorch requirement made entry difficult.

    From 1 comment
    • OMG! Just yesterday I published my reworked GoNEAT library that implements HyperNEAT combined with phased search and backpropagation [1]. But it's kind of impossible to enter for…
      cookiengineer on HN

Requests

  • Support more model formats beyond ONNX and a gym-style interface.

    From 2 comments
    • OMG! Just yesterday I published my reworked GoNEAT library that implements HyperNEAT combined with phased search and backpropagation [1]. But it's kind of impossible to enter for…
      cookiengineer on HN
    • Where do you see a hard requirement? I have added support for ONNX model upload for now and would love to extend support for other formats. How you build the model is totally…
      codetiger on HN
  • Add more games.

    From 1 comment
    • 15yrs back I participated in "Google Ants AI Challenge 2011", an ai programming competition, hosted by the University of Waterloo, and I ranked #127 (#1 in my country). The…
      codetiger on HN

Questions

  • How small can networks get and still play well?

    From 2 comments
    • Interesting—how small can a neural network get and still make good strategic decisions? Curious whether these models can adapt to unfamiliar opponents.
      Muthaalagan on HN
    • This looks fun. How small are the networks you're aiming for?
      adityamishra241 on HN
  • How are networks evaluated, by game performance or size and speed?

    From 1 comment
    • This looks fun. How do you evaluate the networks — is it purely based on game performance, or are there other metrics like size and inference speed too?
      adityamishra241 on HN

Alternatives named

  • Google Ants AI Challenge

    From 1 comment
    • 15yrs back I participated in "Google Ants AI Challenge 2011", an ai programming competition, hosted by the University of Waterloo, and I ranked #127 (#1 in my country). The…
      codetiger on HN
  • Core War

    From 1 comment
    • See also: https://en.wikipedia.org/wiki/Core_War
      lokar on HN
  • Screeps

    From 1 comment
  • MIT Battlecode

    From 1 comment
    • There is also MIT Battlecode - same idea, but for human teams https://battlecode.org/
      RomanKornev on HN
  • MechMania

    From 1 comment
  • AI Wars

    From 1 comment
    • Around 1997 there was something awfully similar to this doing the rounds, called AI Wars. IIRC it was code rather than weights, but it's a funny parallel. 30 years! God I'm old.
      b800h on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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