These are good points. I’m uncertain about what models will form the foundation of RLaaS. But I think your point about where the task-specific data teams are working is more important. Off the top of my head, I think there’s 3 bins:
For a lot of programming tasks, big AI companies already have lots of expertise and users in-house, so I expect them to dominate production of code generation.
For some tasks like writing marketing copy, LLM’s are already good enough at this. There’s no business training models further here.
Most interesting are tasks that require lots of tacit knowledge or iteration. For example, getting to self-driving cars required a decade plus of iterating on algorithms and data. I imagine lots of corporations will privately put a bunch of effort into making AI work on their specific problems. Physical tasks in specialized trades are another example.
For tasks in #3, the question is whether to join up with the big AI companies, or develop your own solution to the problem and keep it private.
These are good points. I’m uncertain about what models will form the foundation of RLaaS. But I think your point about where the task-specific data teams are working is more important. Off the top of my head, I think there’s 3 bins:
For a lot of programming tasks, big AI companies already have lots of expertise and users in-house, so I expect them to dominate production of code generation.
For some tasks like writing marketing copy, LLM’s are already good enough at this. There’s no business training models further here.
Most interesting are tasks that require lots of tacit knowledge or iteration. For example, getting to self-driving cars required a decade plus of iterating on algorithms and data. I imagine lots of corporations will privately put a bunch of effort into making AI work on their specific problems. Physical tasks in specialized trades are another example.
For tasks in #3, the question is whether to join up with the big AI companies, or develop your own solution to the problem and keep it private.