It's like having a person review the moves a chess computer gives. Maybe one human in a billion can spot errors. Star Trek is fiction, I posit that the median Federation Starship captain would be better served by just following the AI (e.g., Data).
A black market of taboo “memories” aka experiences. A desire for authentic ones over synthetic diffused ones, leading to heinous crime.
Then again, Data did show his faults, particularly not having any emotion. I guess we’ll see if that’s actually relevant or not in our lifetimes.
He lost to Deep Blue and then for 10-15 years afterwards the chess world consoled itself with the idea that “centaurs” (human + computer) did better than just computer, or just human.
Until they didn’t. Garry still talked like this until a few years ago but then he stopped too.
Computers now beat centaurs too.
Human decisions will be consulted less and less BY ORGANIZATIONS. In absolutely everything. That’s pretty sad for humans. But then again humans don’t want or need this level of AI. Organizations do. Organizations prefer bots to humans — look at wall street trading and hedge funds.
It does great at rationalizing... and maybe the way the format the questions were entered (and the multiple-guess response) gave it some indication what was expected or restricted the space sufficiently.
Certainly, it can create decent fanfic, and I'm surprised if that's not already inundated.
I expect more complex problems will be mapped/abstracted to lower cardinality spaces for solving via AI methods, while the capability of AI will continue to increase the complexity of the spaces it can handle.
LLMs just jumped the "able to handle human language" hurdle, but there are others down the line before we should worry that every problem is solveable.
Human work becomes more like Star Trek interactions with computers -- a sequence of queries (commoditized information), followed by human cognition, that drives more queries (commodities information).
We'll see how far LLMs' introspection and internal understanding can scale, but it feels like we're optimizing against the Turing test now ("Can you fool/imitate a human?") rather than truth.
The former has hacks... the later, less so.
I'll start to seriously worry when AI can successfully complete a real-world detective case on its own.