MIT CSAIL’s recent “Sparks of Weight-Space Programming” paper showed that GPT-6 Astra could identify which game a small network had been trained on directly from its raw weights. The new piece asks whether a linear program can perform comparable weight-space programming, probing whether such capabilities require large models or can be replicated with simpler linear methods.