Maybe they should contract with one of the other AI labs. I hear they have LLMs that are good at that kind of thing.
209 karma · joined November 26, 2013
Maybe they should contract with one of the other AI labs. I hear they have LLMs that are good at that kind of thing.
Especially because these models seemed to be keenly aware that they were being evaluated by OpenAI and actively trying yo cover their tracks. How do we know that the model isn’t just pretending to be aligned?
I can’t disagree more strongly. Having checks for reward hacking is especially important during training, since it’s humans’ only real chance to ensure that the trained models don’t cheat. An automated system should have killed any RL rollouts that so much as port scanned Artifactory, long before the message board was even established.
A tiny, local LLM could have reviewed 1% of the tool call traces for anything that required review. I’ve tried it a few times, and “the agent port scanned Artifactory” always triggers an alarm, as does “the agent uploaded a request for assistance from other agents to Artifactory.”
The fact that they weren’t monitoring for reward hacking—even if they had no idea about the specific mechanism—is indescribably reckless.
> After knowing that the server was hacked, the internal team finds the message board and does nothing with the information. They caught their AIs swarming and did not even inform management
Do we know that last part for sure?
Did the original paper rule out the hypothesis that the recession actually affected births via an increase in miscarriages and abortions instead? I can’t access it.
If so, I think the speed advantage disappears.
... only in the unlikely event that my vote changes the outcome of an election, and the candidate I voted for would also be able to affect such a big legislative change.
Millenials as a group might be worse off if many traded away their right to vote, but that's not the same thing as saying that individuals benefit in a tangible way from that right.
Your point about relying on other organizations is a good one, though. I generally take this approach, but I wasn't expecting anything to have been published yet on such a new bill. It looks like the ACLU, NAACP Legal Defense Fund, and SPLC all issued positive press releases, though.
If she wanted to shrink jails when she was California's Attorney General, she could have respected court orders requiring prisoners to be released.
Likewise, she could have stopped "defending convictions obtained by local prosecutors who inserted a false confession into the transcript of a police interrogation, lied under oath and withheld crucial evidence from the defense."
https://www.nytimes.com/2016/05/29/magazine/kamala-harris-a-...
I wonder what it is about these high-saturation, stripy-spiraly bits that these networks are responding to.
Is it something inherent in natural images? In the training algorithm? In our image compression algorithms? Presumably, the networks would work better if they weren't so hypersensitive to these patterns, so finding a way to dial that down seems like it could be pretty fruitful.
Some editors, who manage peer review, do get paid, but the reviewers don't.
If the courts declare him a "vexatious litigant", he'd have a much harder time filing these suits.
http://news.discovery.com/space/opera-leaders-resign-after-n...
https://github.com/propublica/compas-analysis/blob/master/Co...