Comment by noelsusman
14 hours ago
This assumes the set of tasks we want to use AI for is static. I don't think that assumption is true, it definitely hasn't been true up to this point.
14 hours ago
This assumes the set of tasks we want to use AI for is static. I don't think that assumption is true, it definitely hasn't been true up to this point.
What do you mean? Math, coding, and some computer use have been the main commercial usecases for LLMs for some years now.
I've been doing PCB layout with Opus 5.5. Maybe this was possible easlier and with Chinese models, but I feel this really pushes the model. These are 10hr jobs, so also requires good stability over time. I suppose this could be tested. As the models get better, I also get better at using them. So I'd say yes, we do more advanced things with the models every year.
And unfortunately, anyone who uses DeepSeek for serious math applications is extremely foolish, at least right now anyway. Disappointingly, the Chinese models are so far behind on math capability that it is a genuine moat at this point.
Totally different story for coding of course.
The financial value you can extract from math capabilities is minuscule compared to software engineering.