Technology

We need to stop viewing it as artificial intelligence. The parts that are worth money are just more advanced versions of machine learning.

Being able to assimilate a few dozen textbooks and pass a bar exam is a neat parlor trick, but it is still just a parlor trick.

Unfortunately probably the biggest thing to come out of it will be the marketing aspect. If they spend enough money to train small models on our wants and likes it will give them tremendous amounts of return.

The key to using it in a financially successful manner is finding problems that fit the bill. Training costs are fairly high, quality content generation is also rather expensive. There are sticky problems around training it from non-free data. Whatever you're going to use it for either needs to have a significant enough advantage to make the cost of training /data worth it.

I still think we're eventually going to see education rise. The existing tools for small content generation adobe's use of it to fill in small areas is leaps and bounds better than the old content aware patches. We've been using it for ages for speech recognition and speech generation. From there it's relatively good at helper roles. Minor application development, copy editing, maybe some VFX generation eventually. Things where you still need a talented individual to oversee it but it can help lessen the workload.

There are lots of places where it's being used where I think it's a particularly poor fit. AI help desk chatbots, IVR scenarios, It says brain dead as the original phone trees and flow charts that we've been following for decades.