David Sacks
speaker
690 appearances
1 recordings
1 series
first heard Jul 2026
last heard 16 Jul
David Sacks’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
It was part of the Biden EO.
We saw it.
happen you know in in the release of that first gemini model uh that was not an accident that you know that those distorted outputs came from somewhere um so it was you know just to me this is the the biggest risk of ai actually is it's not
It was not described by James Cameron.
It was described by George Orwell.
In my view, it's not the Terminator.
It's 1984.
That as AI eats the internet and becomes the main way that we interact and get our information online, that it'll be used by the people in power to...
to control the information we receive that will contain an ideological bias that essentially it'll censor us all that trust and safety apparatus that was created for social media will be ported over to this new world of ai mark i know that you've spoken about this quite a bit i think you're absolutely right about that and then on top of that you've got the surveillance um issues where you know ai is going to know everything about you it's going to be your kind of personal assistant and so it's kind of the perfect tool
for the government to monitor and control you.
And to me, that is by far the biggest risk of AI.
And that's the thing we should be working towards preventing.
And the problem is a lot of these regulations that are being whipped up by these fear-mongering techniques, they're actually empowering the government to engage in this type of control that I think we should all be very afraid of actually.
So my sense is that people in Silicon Valley are kind of pulling back from the, let's call it, imminent AGI narrative.
I saw Andrej Karpathy gave an interview where now all of a sudden he's re-underwritten this and he says AGI is at least a decade away.
He's basically saying that...
that reinforcement learning has its limits.
I mean, it's very useful.
It's the main paradigm right now that they're making a lot of progress with.
But he says that actually the way that humans learn is not really through reinforcement.
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