[_aavaa_]

Nobody is talking about hand waving. Look at progress in models between the original ChatGPT release and what came out this year. The progress is incredible, both in the frontier models and in the smaller ones that can be run in high end laptops (<100GB of ram).

There are new architectures, paper, and harnesses coming out weekly that improve performance, accuracy, and/or performance efficiency.

Whether they can do better or not than a secretary is a poorly defined metric. But by objective metric they are already producing less buggy code than $30k developers, and doing it faster.

[gamblor956]

Only if by "incredible" you mean it takes vastly more resources to do the same thing slightly better but with an even larger chance of completely fouling the bed.

But by objective metric they are already producing less buggy code than $30k developers, and doing it faster.

That's like bragging that a $1 trillion tank can go faster than a cheap budget car. For $1 trillion being slightly better isn't good enough.

[_aavaa_]

First off, the state of the art models are perusing a strategy of doing more with more, but there are lots of small models that can be run locally on high end pcs. Those small models are more capable, are cheaper, and are faster than the state of the art of 3 years ago.

If you consider the change in what’s possible in June 2026 vs 2025 (to say nothing of 2024) “incremental” than you and I are living in different realities and I don’t know what to tell you.