3 ms·

You can transfer some state just through dots. The dot count could mean "the first n ideas do not work, analyze the n+1 one, if that's bad, emit another dot"

• wongarsu 3y ago
  And this works even if we assume the dots don't actually transfer information but just slightly mutate the state. First it tries a random approach, if that approach doesn't lead to a powerful result it emits a dot to try another random approach in the next round, until you get a sufficiently good path forwards. Essentially a brute-force search. Which is a bit wasteful, but better than just blindly taking the first idea
  • im3w1l 3y ago
    Kind of like trying nonces until you find one that gives you a hash with lots of leading zeros? Dotchain?
    • kevindamm 3y ago
      Chain of Dot.
• diziet 3y ago
  I believe the model is trained to always output the same number of dots. Additionally, the way LLMs generate output tokens are not really in in line with transferring state this way.