00:00:00
We've spoken to officials across the US government and we've offered to work
00:00:03
with them to assess the risks of these models and to help defend against the risks of these models.
00:00:08
>> Chimath, is it the boy who cried wolf or is this the real deal? Now, >> I think it's mostly theater. In February
00:00:14
of 2019, when Daario was still at OpenAI, they did the same thing with GPT2. That was a 1.5 billion parameter
00:00:23
model, which sounds like a total fart in the wind in 2026. But at that time, this
00:00:29
1.5 billion parameter model was supposed to be the end of days. And at the end of
00:00:33
it, it was a huge nothing burger. If you actually think that mythos is capable of
00:00:37
doing what it says it can do, two things are true. One is a very sophisticated hacker can probably do those things
00:00:45
right now with Opus. And two, if these exploits are this easy to find, whether you use Opus or whether you use Mythos,
00:00:53
the reality is you'd have to shut down the internet for about 5 years to patch
00:00:56
them all. So when you see like a large multi-trillion dollar git bank, it's a
00:01:01
bit of theater. Why? What do you think they can actually accomplish in 2 months? Do you actually think that if
00:01:06
there's these vulnerabilities, it's all going to get fixed? Let's give them 6
00:01:10
months. Let's give them 9 months. So I do think that Sax is right that they have figured out a very clever
00:01:16
gotomarket muscle here that activates hyper attention and hyper usage and so I give them tremendous credit but we've
00:01:24
seen it before we saw it when these folks were the principal architects at OpenAI who are now seeing the same
00:01:30
playbook here. The reality is that capitalism moves forward, the funding needs moves forward, and the need for
00:01:36
these guys to build adoption moves forward. And that's going to supersede what this