Neural Networks Need Data to Learn. Even If It’s Fake. | Quanta Magazine
www.quantamagazine.org
Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.

cross-posted from: https://kbin.social/m/[email protected]/t/68397

I’ve been following the development of the next Stable Diffusion model, and I’ve seen this approach mentioned.

Seems like this is a way in which AI training is analogous to human learning - we learn quite a lot from fiction, games, simulations and apply this to the real world. I’m sure the same pitfalls apply as well.