510 karma · joined July 11, 2007
Socials: - github.com/awwaiid
---
I think it depends on how far out you run the numbers for the area under the curve and all the various costs and profits. Seems clear to me that the individual tech-creation might end up being losses but that the net global will be gain very shortly as we continue to adapt and accelerate based on using the tech.
Use some of that transfer-learning (adding weights on top of each other) and an LLM can be "born" with an algorithm deeply encoded.
My dad told me once "Son. You don't get in trouble if you don't get caught". He was in real life expressing annoyance at having to punish me for something dumb, but my preferred interpretation is that morality transcends law.
(concepts probably stolen or bad copies of Daniel Dennett models)
I don't recall how far he took it, but for me determinism is very helpful (if not required) for predictability, and predictability required for meaningful Free Will. So I'll have to go watch the debate, but my bet is that Dennett was willfully (pun intended) refusing to accept the other-definition of Free Will in favor of his own. I'll report back after I listen to the debate :)
It's then interesting to see how that looks in different economic brackets. Maybe in one bracket a car costs 1000 hours, and in another the same car costs 350 hours (so might as well get a 700 hour car. Still cheaper).
However we might think about this differently if we flipped it to "our standard is 20% completely untested".
Uncoverage communicates the value much better.
So maybe they'd figure it out.
Though the other way to do it is to clearly document the training data as a whole, even if you can't cite a specific entry in it for a particular bit of generated output. It should get useless quickly though as you'd eventually have one big citation -- "The Internet"