Comment Re:Whereas the rest of us believe... (Score 1) 99
Popular opinion is poor evidence.
Popular opinion is poor evidence.
All of the US states I cared to check had y=mx+b in the curriculum by grade 8 at the latest. Even the shitty ones where you learn it's god's will.
Because I was closely following the field at the time?
Find an example of anyone meaningful in the field expecting these things beforehand.
Don't worry, I'll wait.
"will" - I'm not talking about metaphysics. I am talking about the fact that models demonstrably - to the point that you can detect and manipulate them in realtime - engage in metacognition (thinking about their own thoughts), persistent forward planning (intent), unexpressed thoughts, and a whole slew of other things.
You do not have to see them as equivalent as humans. But you do need to come to terms with the fact that they absolutely do do these things.
Deception implies intent, models do not have intent
Try reading more than a paragraph or two into the above link before commenting.
The provided links present arguments supporting the idea that LLMs, transformer models, reason in a manner similar to the brain.
It does not "present arguments", it literally lets researchers modify, add, or delete their thoughts in realtime and observe the changes in their behavior. It observes unexpressed plans for malicious behavior forming before said plans are actually carried out, with researchers being able to remove those unexpressed plans from the model's J-space, or insert them into an "innocent" model and watch it then implement the malicious acts. It shows that plans for deception are not merely fleeting, but can be organized far in advance and persist for protracted periods of time. Yes, LLMs do plan out deception. Living in denial of this fact helps nobody.
This isn't a conversation about "consciousness" or "qualia", this is a conversation about what models actually do and how. If you want to avoid metaphysics, by all means, it usually derails a conversation anyway. But models absolutely do plan and rationalize actions, ahead of time, unexpressed in either output or CoT. And sometimes those unexpressed plans are malicious.
One of the things that the J-space helped let us do was realize that our previously comforting results on a number of alignment tests shouldn't have been as comforting as we thought - for example, you can see a model, put into a test scenario, realizing it's in a test scenario, wherein, a near-zero rate of malicious behavior is to be expected. Yet when they remove the realization from its J-space, the rate of malicious behavior spikes.
Yeah, the lack of at least monitoring, I found shocking. I figured that they not just had smaller models constantly monitoring their outputs and true CoT to look for malicious behavior, but also were say constantly doing attribution graphs and J-space queries, also plumbed into LLMs, to look for malicious thoughts and plans. And it turns out, lol, no, they're just given free reign to do whatever the hell they want, with nothing watching them at all.
This is kind of like saying that car wrecks wouldn't happen if we had training and standards that excluded 95% of drivers
More like 99.99%. Maybe need some more nines in there. Large C codebases without regular critical CVEs are basically nonexistent.
Sam et al warn us to take actions that will save them from bankruptcy
What bankruptcy-prevention actions are they asking for?
It's a research program so, yes "That doesn't mean LLMs *will* deliver AGI". But what are your grounds for being certain taht it won't?
Even if it were sentient, it would be acting as the agent of the company that was running it, so they would still be to blame.
If you don't like "reward", say "positive feedback". It means the same thing, except for being more formally defined.
LLMs cannot have inherent values, because they don't know that anything besides text exists. Specialized pixel editors have similar problems.
Robots will at least understand the the external reality exists, so perhaps they could have inherent values.
Uh huh.
You're long on claiming special knowledge and awfully short on demonstrating it. If you disagree then you don't know how it works.
You don't lose your PhD for getting scooped. You also don't lose it for scooping someone, even if you were "inspired" by their unpublished work. Ideas aren't protected. If you send them off to some corporation without an NDA, or a sufficiently unethical colleague, they'll get swiped with no repercussions except maybe distaste from the community. If it's a normal corp they might even tell you you can't publish your own work.
PhDs are revoked very seldomly and you generally have to do something bad relating to your own thesis to lose one.
It's great to be smart 'cause then you know stuff.