OpenAI just shipped GPT-5.6 — Sol for the heavy lifting, Terra for volume work, and Luna for everyday use. Three models, one release, full coverage across the price-performance spectrum.
The internet lost its mind for about six hours. Then the takes started rolling in: benchmarks, comparisons, and AGI-is-closer-than-ever threads.
But here is the question nobody is asking: When was the last time a model upgrade actually made your code better?
Sounds cynical, but think about it. We have gone from GPT-3 to GPT-4 to GPT-5, and now 5.6. Each generation is measurably smarter. Yet the day-to-day reality of writing software has not changed that much. The requirements are still vague. The bugs are still sneaky. The only difference is that we now generate bad code faster.
The real bottleneck is not intelligence
