Comment by AndrewKemendo

I predicted on this site in 2016 the massive social and economic impacts AGI would have and specifically when RL data loops are not available to anyone but major players:

https://medium.com/@andrewkemendo/the-ai-revolution-will-be-...

> Reinforcement Learning tasks rely on ridiculous amounts of data. Whereas with traditional software architecture, where you accomplish tasks through explicit task instruction, RL trains for tasks based on millions of tests through a reward system. Most importantly once you have trained it to some minimum level, if you deploy it correctly, then it should continue improving — so long as you bake feedback into the UX. Imagine that instead of telling excel what to do, you and every other user will have a conversation with excel, improving the system incrementally.