Oct 14, 2026 · 27 min · 10 segments
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Martin GeisslerHost
This is all reliant on this stuff not getting into the hands of rogue states, bad actors, all that.
So when the public is interacting with them, you cannot go to chat GPT and ask it how to make a bioweapon.
I think it's actually a really interesting and unusual moment in history where The public is having access to what's happening in science and R&D.
It's quite an unusual situation, and so a lot of focus is put on making sure what people actually access is passing through lots of safety layers.

So the next generation models that come out, because these things are coming out at a rate of knots, they're going to be programmed to not...

So if somebody finds a prompt to cleverly try and extract from this model the best way to make a biological weapon, say, this model is programmed just not to deliver that information.
different devious prompts? So there's the monitoring and the guardrails that go around that.
And then I think what we're getting to is having enough friction involved that it's not easy, even if someone has that bad intent.
I don't have the resources, the money, the tools, the experience to be able to do that.

But there are terror groups sitting in deserts in the Middle East or whoever who do.
And so that's, I think, why we're putting, there's this big shift, so there's this race dynamic, and the race has been characterized by let's make super intelligence, let's make the biggest, smartest thing possible, whereas what we're starting to see is actually when that interacts with society and when that interacts with business, Boardrooms don't want to be responsible for having an AI model in their company that goes and discriminates against customers or creates a legal or PR risk.
So the economic incentive is changing to say, we want to have these really intelligent systems, but we want to do it safely, responsibly.

This is all reliant on this stuff not getting into the hands of rogue states, bad actors, all that.
So when the public is interacting with them, you cannot go to chat GPT and ask it how to make a bioweapon.
I think it's actually a really interesting and unusual moment in history where The public is having access to what's happening in science and R&D.
It's quite an unusual situation, and so a lot of focus is put on making sure what people actually access is passing through lots of safety layers.

So the next generation models that come out, because these things are coming out at a rate of knots, they're going to be programmed to not...

So if somebody finds a prompt to cleverly try and extract from this model the best way to make a biological weapon, say, this model is programmed just not to deliver that information.
different devious prompts? So there's the monitoring and the guardrails that go around that.
And then I think what we're getting to is having enough friction involved that it's not easy, even if someone has that bad intent.
I don't have the resources, the money, the tools, the experience to be able to do that.

But there are terror groups sitting in deserts in the Middle East or whoever who do.
And so that's, I think, why we're putting, there's this big shift, so there's this race dynamic, and the race has been characterized by let's make super intelligence, let's make the biggest, smartest thing possible, whereas what we're starting to see is actually when that interacts with society and when that interacts with business, Boardrooms don't want to be responsible for having an AI model in their company that goes and discriminates against customers or creates a legal or PR risk.
So the economic incentive is changing to say, we want to have these really intelligent systems, but we want to do it safely, responsibly.
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