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[cheering]

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>> Thanks for having me.
>> Great to have you, Sam.

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>> It's interesting cuz
people have been talking about

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the potential downsides or serious
risks of AI for some time.

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And I think a lot of people have been
saying, "Why is this the moment where it

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sort of escaped the bubble and is now

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all of a sudden
an international topic of such

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intensity?" And I think a few
things have happened. One,

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the models have gotten so good. And people
for a long time looked at the models.

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Maybe they looked at the rate of progress,
but I don't think people really felt that

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the models were going
to come this far, this fast.

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We will get it right, by the way.
I am very confident in our

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I think the biggest thing that has changed
is this thing that our industry has been

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talking about for a while, which is no,
no, this technology, this approach is

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going to go very far. These models
are in some ways going to become more

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capable, smarter than people.
That finally happened. So, I think that

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was a big change to why now. And people
say, you know, my probability of doom is

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X or Y or whatever, it hits
in a different way. Technology

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to do. Somebody else wants
to build like a hacking bot, okay.

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The world can decide what they think
about that, but I think you also see um

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a real fear that some of these companies
or some companies developing AI could

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get too much power and be
able to sort of exert undue

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influence on the economy, push
a worldview out on people. And I think the

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world is right to be afraid of this. So,
we have these two big challenges. We have

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the potential of a loss
of control accident

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or some other serious thing that could
go wrong. too much power concentration

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and people fear that those developing AI

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could exert their worldview.
Um and there is a sort of narrow path we

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have to navigate with pragmatism, with

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you know, steadiness,
with the ability for the the

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world to like trust that we will
make dependable decisions, consistent

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decisions uh through this.
And I think people are saying, "Well,

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you know, this now seems pretty important.
Like let's let's get it right."

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I'm not going to get the days of the
week exactly right here, but something

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on like a Friday or a Saturday.
These models have gotten so good, so fast,

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that we need to treat the alignment and

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monitoring and security with a new level

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of rigor. And we have to be willing to

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pace our development of capabilities

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such that capabilities always So
such that alignment, safety, and

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monitoring are always
ahead of capabilities. And

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the Hugging Face incident triggered
a real reset, not just in our own company,

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but I think the whole industry.

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>> You know, we're
in the cyber area today,

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but maybe we move into another area. Is

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this a fair way to characterization,
or am I or is this unfair to characterize

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it like this? >> What I really
care about is that we have

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got a great culture of accident
reporting and learning. I think if we

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look at what happens with the FAA and the
NTSB and how safe airplanes have gotten,

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um as I understand it from talking
to people who have really studied,

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you know, new kinds of technology on the
order of magnitude of airplanes, one of

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the things that has gone so well there is

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is the culture of accident reporting.

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You know, accidents are going to happen.

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We're going to learn as much as we can

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and react from each one. Um and if,
you know, there's other kinds

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of technology where I don't think it's
gone I don't think society's had the same

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response, and I don't think
we have improved as much.

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to pull this thing together and present
you with the information to make a

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decision or to ble I think
this is one of the the

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profound changes to how we use technology

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that I've ever seen. I mean,
sci-fi movies, as you mentioned,

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have been hinting at this or playing
around with this for a long time, but

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this is one of those moments where it
feels like you're in the movie. Like the

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sci-fi thing came true.
You're talking to your personal super

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assistant, and you are working 10 times
faster or better or more creatively than

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you could have before. >> Sam,
you're invited back anytime you

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want to Dreamforce. Hold on, I'm

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>> Thank you very much. Thank you.

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>> Please thank Sam Altman.