Aaron Levie@levie
Anyone who has been working on AI agents, especially in an enterprise context, would have been nodding along to Karpathy’s podcast the entire time.
So much has yet to get built out to make it all work at scale. The analogy of self driving cars is especially apt — each additional 9 of reliability takes a massive amount of work. 90%, 99%, 99.9% are all new levels of complexity that tend to require new breakthroughs, more data, and so on.
The one benefit of AI agents for knowledge work, in contrast to self-driving cars, though is that you can decide to get value at any point along the way by just tweaking what the human in the loop does.
Self driving cars working safely on the road with other drivers is nearly a binary event, but choosing to have AI do a 1 minute task, then 10 minute task, then 100 minute task as capabilities improve adds incremental value all along the way.