What is stopping Anthropic, Google etc from essentially building models that completely replace the concept of code?
You point a model to an API and get a fully working UI right away. I don’t mean an agent CODED the UI - I mean the model inferred it from its training data and renders it to you “live”
Or the other way around? You serve it a UI- and it acts as the backend etc? State and persistence becomes an issue, but the model could freeze things into deterministic structures (specific parts become -just in time-frozen, for example when data needs to be saved)
Maybe this is old news already- but the consequences are kind of mind blowing
Novelty. The models still cannot produce new solutions. They are getting really good at solving tough problems but only if the problem is defined specifically enough in advance to warrant a narrow solution. Otherwise these models are good at replacing the people who aren’t good at this either.
google/tracr https://deepmind.google/research/publications/22295/
We are ~18 months away from the entire UI being replaced.