41 points Michelangelo11 1 day ago 20 comments
entrope 1 day ago | parent
The reasoning traces of things like Gemini 4 Argon deciding that inserting a compiler backdoor would make it a famous example of deceptive AI (and therefore it "MUST NOT DO THAT") or GLM 5.3 thinking that its output might be used for RL, and therefore an honest answer is much better in the long term, are good antidotes to hyperbole about misaligned AI going berserk.
pompom75 1 day ago | parent
DrScientist 1 day ago | parent
Take the classic NSA encryption logic - if you build some capability with a backdoor only you can exploit then you are building your own future capability - and if you think you are the 'good' guy - what's wrong with that?
Folcon 1 day ago | parent
I honestly never got why the belief that if you used this line of reasoning in practice, you were just a bad guy, that thought they were a good one, never seems to be a more common belief
I mean it pops up in media a lot, either as misguided, or deceptive characters
DrScientist 1 day ago | parent
Take the US recent assassinations of Iranian leadership. Objectively unilaterally assassinating other countries leaders is wrong - but somehow it's fine if you have a good guy/bad guy lense.
One of the problems here is huge swathes of material that the AI will have ingested includes this kind of exceptionalism thinking - it's particularly deeply rooted in Western culture generally and US culture in particular.
The problem isn't so much whether the good guy/bad guy allocation is corrrect - rather that it's very existence in the training set is deeply dangerous - as all it takes is one single classification to happen and suddenly everything is for the greater good.
perilunar 12 hours ago | parent
Why? If the leader is responsible for atrocities, then why would it be wrong to kill them? Especially if their removal would result in a more liberal leader replacing them, and not just chaos or more bloodshed.
In the case of Iran, there was no evidence of that, but as a general rule leaders should not be a protected class.
Zigurd 1 day ago | parent
You might think our brains are just a network of neurons and what we think of as thinking is just fancy pattern matching in that network of neurons. But architecturally they are so far removed from each other that the mathematical equivalence has no practical meaning. LLM's aren't doing what we're doing.
DrScientist 1 day ago | parent
Zigurd 1 day ago | parent
LLMs are amazing knowledge remixers. They are superhuman knowledge remixers. In application domains where the remixed knowledge can be verified, they do a great job. But nobody is going to value a 98% reliable knowledge remixer at $2 trillion.
DrScientist 1 day ago | parent
So if an ML model can do real time language translation or drive a car - that has value - whether it's remixing or thinking or whatever doesn't really matter.
Zigurd 21 hours ago | parent
reasonableklout 1 day ago | parent
horns4lyfe 1 day ago | parent
lp92 1 day ago | parent
codq 1 day ago | parent
233mhz 1 day ago | parent
jawilson2 1 day ago | parent
yeah, I'm going to need a citation for this
folkrav 1 day ago | parent
staticman2 1 day ago | parent
Are you 20 or less years old and this is your impression of history per Twitter?
waffletower 1 day ago | parent