TLDR:full task completion training data will soon be available, leading to much more capable agentic AI
Microsoft is introducing copilot for office 365. Google is integrating AI into its products. Economic motivation for automating white collar task labor hours is obvious even if only to sell to workers directly. Where can the needed training data be gathered? Companies using MS tech stack (Windows(OS), Edge(browser), outlook(email), office365(documents)) are fully set up to capture all human computer interactions. Google can do the same via Chrome/ChromeOS for web application based workflows.
Ways to make better agentic AIs:
(1) leads to refinement and reliability improvement for existing capabilities. (2) leads to new capabilities altogether
Useful characteristics of problem solving data
This leads to capable narrow domain agents
real world example:
copilot type systems will get more capable until they become "autopilot" systems. Jobs switch to curating AI outputs with supervision dropping off over time. Even if the machine can't "pilot" at all it can still learn.