The Boring Version of Continual Learning

Will Brown of Prime Intellect makes the case that continual learning is about to get boring, in a good way: it is the software development life cycle, applied to models. He traces how agent workflows grow from terminal experiments into production software, why evals should capture the vibe check, and which post-training methods he reaches for, from SFT and on-policy and context distillation to online RL, along with why he is skeptical of jumping straight to OPSD. He closes on build versus buy for models, what quant finance shows about running many specialized models, and why post-training will