What Parsewave’s Work Says About the Next Phase of AI Training

One of the questions I've been asking myself recently is how AI training will evolve when simply adding more data provides diminishing returns. We've made tremendous progress in scaling up generation of synthetic examples, but it doesn't always equal diversity in capabilities learned. It's possible to generate thousands of different examples which train your model in the same manner. This is why the data for post-training becomes really interesting