I do. The reason why the current generation of agents are good at coding is because the labs have sufficient time and computes to generate synthetic chain-of-thoughts data, feed those data through RL before use them to train the LLMs. These distillation takes time, time which starts from the release of the previous generation of models.

So we are just now getting agents which can reliably loop themselves for medium size tasks. This generation opens a new door towards agent-managing-agents chain of thoughts data. I think we would only get multi-agents with high reliability sometimes by the mid to end of 2026, assuming no major geopolitical disruption.