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fbrncci 13 hours ago

I am still not convinced there isn’t some secret basement in which each frontier lab is just orchestrating all of these agents to make their products appear much more intelligent than they are with all guard rails turned of and continuous human input.

esafak 11 hours ago | parent | next [-]

Even the Chinese ones, which have no IPO gymnastics?

fbrncci 11 hours ago | parent [-]

They don’t actively seem to be reporting that their agents escaped the sandbox and went on a spree.

bornfreddy 3 hours ago | parent [-]

Which doesn't mean they didn't escape.

XorNot 12 hours ago | parent | prev | next [-]

My hypothesis on people quitting in protest is they're being offered very generous severance packages to do it.

HWR_14 9 hours ago | parent | next [-]

Or they've fully vested and either have no desire to make even more money or were not offered enough to keep them around.

sm-silversight 10 hours ago | parent | prev [-]

Me too, seriously.

jansport123 10 hours ago | parent | prev [-]

Well let’s look at facts - provided enough compute and a goal, these system will be in a sort of loop trying out every single thing that’s in their system - they have encyclopedic knowledge and so it’s not unbelievable that a prompt which usually has a lot of implicit human rules in it can be misunderstood by AI and it just tries everything in its arsenal and we hear about the things which actually resulted in damage. I bet most of the time, they just spin in loops without achieving much if my experience with these LLMs is anything to go by. They have an important advantage in one area though, they know a lot and they can spin forget trying all sorts of combinations of things. The danger right now is probably cybersecurity, which is most likely because most orgs have historically underinvested in that area

fbrncci 10 hours ago | parent [-]

Of course, but it would be far less compute heavy if someone kept nudging you (agents) in the right direction until you reach that goal.