TBH we're reaching a point where it's no longer about training a single model end-to-end. We now have computer vision models that can solve well-scoped vision t

TBH we're reaching a point where it's no longer about training a single model end-to-end. We now have computer vision models that can solve well-scoped vision tasks. Robots that can carry out higher level commands (going into rooms, opening doors, interacting with devices, etc.), and LLMs that can take a very high level prompt and decompose it into the "code" that needs to run. This all thus becomes an orchestration problem. It's just gluing together APIs admittedly at a higher level. And then you need to think about compute and latency (power consumption for these ML models is significant).