AI Safety and Industry Regulation Discussion
Obviously, the reason we're talking is these headlines that have come out.
Jaco-Jacob Coxon, who recently resigned from Anthropic,
made headlines last
week saying, "The people building AI earnestly believe
that it could kill us all
by the end of the decade." There's a current employee, Evan Hub-Hubinger, an
alignment science lead. He agreed, saying, "We really do earnestly
believe AI could kill all humans. I personally think it
is greater than ten percent
chance within the next decade." Do you believe,
earnestly believe, that AI could kill all humans?
And, and what percent chance do you think it
is?
So, you know, I, I-- You know, it's, it's funny, I, I agree with
Jacob much more than I disagree with him, you know?
And, and, and, and it's, it's, you know, it's, it's an interesting
resignation because when he left, he said, you know, "I think Anthropic is the
most responsible player," right?
"I think Anthropic is the most aware of these issues." He
wasn't
calling out us. He was calling out the dynamic-
Right
... of the, the industry as a whole moving too fast.
Now, now I, I, you know, I, I, I think I already said, you know,
these sort of
unconditional probabilities, you know, I, I, I, you know...
I used to kind of talk in that way because it's kind of an easy way
to express, "I
think there's some chance that things go wrong," but, you know, but,
y-y-you know,
but, but, but it's not, it's not all that high.
But again, I think it's more illuminating to think in
terms of, you know,
how do you decompose those probabilities?
What are the paths in which things go well, and what
are the paths in which
things go poorly? And so instead of saying, you know,
"It's a ten percent
chance," that sounds like it's a roll of the dice.
I think it's much more illuminating to say, "Well, that forks into
different paths, and if we take the right paths,
then the chance of something
going wrong is very low. If we take the wrong paths,
then the chance of
something going wrong could be, could be even higher than that."
And so let's
focus on our agency and our ability to take the right paths
instead of the wrong paths. And I think that the way to take the right
paths
is for the industry to work together.
Again, you know, we'll, we'll talk about, uh, uh, the proposal that I've put out
today. But at the end of the day, the industry has to work together,
and it's
harder, but to some extent, the world has to work together.
If we go too slow, I still believe that the wrong people will be
in charge of the technology and, and, and, you know, that, again, will bring
the probability of things going wrong very high.
So what you're proposing is called pacing the frontier of,
of the AI
industry. And you write, "We must slow the pace at
which we improve the
capabilities of AI models. Progress will seem fast,
and we must make wise
use of the time we gain." And there's three parts to
this. One is embedded evaluators, part two is democratic
coordination, and part three is global coordination.
Sam Altman at OpenAI just endorsed the idea of embedded evaluators.
Essentially, you are suggesting, I don't know if-- are they r-
observers inside your company and these other AI
companies, ideally globally, but certainly in the US, who would
monitor it. They would have employee access.
What power would they have?
Yeah. So, so b-before I even get to that, I'm, I'm, I'm just--
I'm very grateful to see, um, you know, support for this
proposal just in the first few hours of having put it out by, by Sam
Altman, by Elon Musk, by, uh, you know, various
legislators and, and government officials.
I think it's a positive sign about, you know,
our ability to make something that
looks like this plan work. But, but to get to your question,
um, yeah, embedded evaluators. So there is
precedent for this. Um, if you look at how banks
are regulated, right? There's, there's all kinds of, you know,
there's all kinds of
rules about, you know, how banks are allowed to do their business, right?
Because, you know, we, we, we don't wanna have financial crises.
And one of the things that are done in some cases is, I think they're
called supervisors in the financial industry, but they're, they're
folks who are independent of a company, who are embedded in the company
day to day to check their practices.
Uh, and I think we can do the same thing in,
I think we can do
the same thing in AI.
The other thing you're calling for in this three-part proposal is, is democratic
coordination, which is essentially democracy.
All the companies that are under democracies having these
evaluators,
having this coordination. And, and probably the most important, because
the argument is, well, y- if the US or companies are the only
ones regulating themselves, what about does China get ahead?
You're calling for global coordination. That's obviously a lot more difficult.
Yes. Yes. I-- You know, in this three-step proposal, each
step is more difficult than, than the one before.
And Anthropic was kind of getting the ball rolling by
committing to the first step. But we shouldn't kid ourselves
that these next two
steps are gonna be more difficult and, and we may not
succeed. And, and so my, my proposal is a proposal that we
should try. Now, again, from all the agreement from others
that I've seen
in just the first few hours of putting out the essay, that creates some
optimism, but that needs to follow up with results.
So yes, pacing among demo-- companies in
democratic countries. Now, the-- one of the important
things that, that I need to call for here is, you know,
as we get to the pace of model releases, right?
That's commercial activity. And in order for companies to
coordinate directly on commercial activity, they need
to do so working with the government.
And so the one thing that we're asking for from government
right now, right?
I mean, there's also this question of what should
the regulations be.
But there's something even simpler that the government can do right now,
which is
it can sit down in the room and-- with all
the industry players, and we can all talk together,
and the government
can make sure that we're, you know, we're, we're not doing
anything nefarious from the perspective of antitrust
and collusion. We're just trying to make our system safe
and to
work together on making the system safe.
And so I think that's an important role for the government to have.
End of transcript · 1,155 words