It is hard for me to not think that given the current approach it will always be almost there, but not quite good enough to be more than a nice assistant or tool that has to be meticulously built and maintained by a company. Take, for example, self driving vehicles, we have been 5 years out for 25 years. That is not to say there has not been significant progress, but to go from a really powerful driver assist to full self driving has still not really come to full fruition and that is kind of a best case scenario for AI/ machine learning.

That is just one very narrow task that basically anyone can do regardless of intelligence or talent. It takes less than a year to train a distracted 16 year old to do it, but three decades to train an AI and even then you probably need to hand tune it for specific locations because it won’t know what do in unusual road layouts.

I think we will get there with driverless vehicles, but only because it is being tailored by humans to handle all of the edge cases. Self driving cars, if truly self driving with no user intervention, will of course be worth it in the end. The trillions of dollars spent will eventually add countless dollars in added efficiency and unlimited revenue for those who get there first, but how many applications can we really say that is true for? That the decades of development and training it takes to remove humans will be worth the initial investment?

I guess my contention is that the current development path seems unlikely to ever achieve AGI and so instead you will have to do heavy customization to get anything that is much more useful than what we have now.