Unsupervised Learning with Jacob Effron · Ep 94: Applied Compute CEO on the Limits of RL, the New AI Hyperscaler & Why Post-Training Wins Inference
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use synthetic data generation to explode a small token set into a much larger training set
“You say, okay, of all the chemicals that I could make given my geometry, I don't want to make that many… you basically set up and generate a bunch of synthetic libraries and then you score them on this optimization function”
“We build evaluation tools that take expert data sets, expert rubrics, and translate them into a tool that you can actually run to help score what AI is generating”
“We trained the final model on the SpaceX cluster ... a few weeks of pre-training, then synthetic data NRL and then shipping it”
“Ukraine has the biggest in the world set of video, audio, radio materials… processed into datasets usable for AI training.”
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