this post was submitted on 07 Sep 2024
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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Yeah, this was apparent immediately.
Diffusion models are just matrices of positional and temporal probabilities. It is absolutely incompatible with even the simplest demands of a game, since any player will reject a game if it lacks reliable and input-deterministic outcomes. The only way to get that reliability is to create a huge amount of training data, and spend exorbitant resources training on it to the point of harshly over-fitting the model to the data, all of which requires that the team first make the game they're emulating before they start training. It's nonsense.
If someone is going to use AI to make a game, they would get exponentially higher ROI using AI to generate code that writes once the relationship between the data, versus inferring the raw data of every individual pixel.
The demo was always effectively a clickbait novelty for likes.
They'd get infinitely higher ROI by not using genAI in the first place.