My current take on recent AI development is that it is getting more and more useful.
BUT, in the end, it is still a glorified, but novel statistics [1].
And whenever AI learns from human input, I find funny/insightful/dark quote from George Carlin:
Or in other words, current crop of AI cannot escape law of large numbers [3].
Especially in today’s world, you need very-very-very valid input sources vetted, by of course, error prone humans.
Even reviews for the simplest of stuff you can buy cannot be trusted as they are bought in bulk.
And as misinformation efforts are running loose in the wild, it is hard to keep sources clean.
Even for pure technical domains such as programming, ChatGPT has been banned by StackOverflow [2] due to high percentage of only looking correct answers.
And some fun chat-bot responses from history characters 🙂
https://twitter.com/RealESonneborn/status/1615794316504440839
Conclusion
So until AI can learn different real-life models instead of shoveling data into hundreds of billions of (statistical, black-box) parameters with insane compute power needs, it will just be useful statistics.
But there is a lot of room for research in how even today’s AI works, even on much smaller scale models.
References
[1] – https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3
[2] – https://meta.stackoverflow.com/questions/421831/temporary-policy-chatgpt-is-banned
[3] – https://www.investopedia.com/terms/l/lawoflargenumbers.asp