The Eternal Sloptember
geohot.github.io
I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.

I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.

  • FiniteBanjo@programming.dev
    24·
    1 day ago

    Let it be known that the first person to call it was actually Sam Altman when OpenAI’s paper on AI Scaling Laws in 2020 subtly showed that the diminishing returns will stop showing improvement with infinite power, compute time, and data before 94% accuracy is reached.