they can be taught where they went wrong.
if a pattern emerges they can be moved to a role more fitting for them. or removed from a project entirely.
we can judge their effectiveness from past performance.
we can put them in less important roles and gauge whether or not they should be moved up.
so, no, pretending that the correct route forward is to “remove humans from the equation” for a bot that doesn’t learn, is never held accountable, and not held to the same standard as humans is silly tier thinking.
As an individual, yes. As a population, no. They elected a conman twice and would rather burn down the country rather than changing their view.
Saying they didn’t learn is an incorrect analysis, since they learned well, based on the inputs they were provided.
I always recommend Network Propaganda for an empirical analysis of what the patterns actually are.
I used to believe Trump winning the 2016 election was a product of rightwing propaganda and fringe theory, but with the 2024 election, I had to revise my belief. What if this is the mainstream mindset of Americans all along, and Trump simply tried to capitalize on that?
bad bots can be retrained or shut down far more easily
I don't see such a path with an llm.
particularly most of the commercial models.
again, i’m sure we can all come up with a thousand “hypotheticals”, and tbh, the hypothetical parade is not something i’m interested in having. but i’ll state again, “entirely removing humans” from the situation is silly-tier thinking.
particularly as even the ceos of sota frontier producing models will each and every single one tell you to never trust their model.
“our model is smartest thing in the world…”
…next breath..
“wait, you trusted our model? that was silly of you. always double check it”
This seems like a great source for domain-specific RL, but even without that, we can expect there to be higher-quality LLMs that can be trivially swapped in within a year, if not a week.
i didn’t say this at all. did you respond to the wrong comment?
i was responding to the comment which said:
> … remove humans from the equation, then.
> We shouldn't use an LLM because...LLMs never improve?
the context of my response was “removing humans from the equation” is sillytier thinking.
not “We should never use LLMs”
Maybe a human should be available as a backup or something, but not because LLMs don't "learn" -- the system seems to learn in all relevant senses.
(I'd also object to the no accountability, but another subthread is already on that.)
I was referring to the government side, as a mild quip.