1 00:00:07,133 --> 00:00:10,453 Speaker 1: You're listening to the Saturday Morning with Jack team podcast 2 00:00:10,573 --> 00:00:11,693 Speaker 1: from News Talks at be. 3 00:00:12,733 --> 00:00:15,333 Speaker 2: The next level of AI is about to be released 4 00:00:15,333 --> 00:00:18,453 Speaker 2: and there are big, big concerns. Our textbit poor Stenhouse 5 00:00:18,533 --> 00:00:20,973 Speaker 2: is here with the details. Good a Paul, Yeah, Good 6 00:00:21,013 --> 00:00:21,493 Speaker 2: morning Jack. 7 00:00:21,533 --> 00:00:24,333 Speaker 3: It's hard do sometimes know with this AI stuff when 8 00:00:24,373 --> 00:00:27,813 Speaker 3: we hear these developments, how much of it is sort 9 00:00:27,853 --> 00:00:30,893 Speaker 3: of the marketing height or the or you know, trying 10 00:00:30,933 --> 00:00:32,773 Speaker 3: to hype the investors. Do you give us some more 11 00:00:32,773 --> 00:00:35,173 Speaker 3: money and we need more money for infrastructure? And how 12 00:00:35,253 --> 00:00:37,933 Speaker 3: much of it is actually real? But I will say 13 00:00:37,973 --> 00:00:40,453 Speaker 3: that this model is coming from anthropic the ore, the 14 00:00:40,493 --> 00:00:43,693 Speaker 3: makers of Clawed and there I think it was their 15 00:00:43,773 --> 00:00:49,253 Speaker 3: CEO said that the fallout for economies, public safety, and 16 00:00:49,413 --> 00:00:53,973 Speaker 3: national security could be severe. So that kind of goes 17 00:00:54,013 --> 00:00:56,653 Speaker 3: beyond marketing hype, I think at that point. So this 18 00:00:56,693 --> 00:00:58,813 Speaker 3: is probably one we need to pay attention to. 19 00:00:59,653 --> 00:01:01,853 Speaker 2: I think that the way they've been discussing it, and 20 00:01:01,893 --> 00:01:03,613 Speaker 2: I love the stuff as you do, but I think 21 00:01:03,613 --> 00:01:06,053 Speaker 2: the way they've been discussing it suggests that they're seriously 22 00:01:06,053 --> 00:01:09,853 Speaker 2: concerned and about liability, Like they aren't talking it up 23 00:01:09,893 --> 00:01:11,693 Speaker 2: in a big way because they want to make money 24 00:01:11,733 --> 00:01:13,933 Speaker 2: out of it necessarily, though of course they do. It's 25 00:01:13,973 --> 00:01:16,493 Speaker 2: more that they're concerned this is so powerful that if 26 00:01:16,533 --> 00:01:19,893 Speaker 2: they release it for everyone overnight, the things that people 27 00:01:19,933 --> 00:01:22,813 Speaker 2: could potentially do with it would leave them liable for 28 00:01:22,933 --> 00:01:26,733 Speaker 2: lawsuits that would bankrupt the company, you know, I mean yeah, I. 29 00:01:26,653 --> 00:01:29,173 Speaker 3: Mean when you start talking to some of the things 30 00:01:29,173 --> 00:01:32,453 Speaker 3: here that it could be finding. Right, So this latest 31 00:01:32,453 --> 00:01:36,653 Speaker 3: model mythists is able to find. They're basically saying that 32 00:01:36,693 --> 00:01:39,213 Speaker 3: it is probably in the top one percent of software 33 00:01:39,213 --> 00:01:41,693 Speaker 3: engineers around. They're saying that it is in the top 34 00:01:41,733 --> 00:01:45,293 Speaker 3: one percent of cybersecurity professionals around. And so it is 35 00:01:45,373 --> 00:01:48,893 Speaker 3: able to find. It has found thousands, thousands of vulnerabilities 36 00:01:48,893 --> 00:01:52,973 Speaker 3: and software that we assumingly use day in and day out. 37 00:01:53,133 --> 00:01:55,533 Speaker 3: Some of the vulnerabilities that found have been there for 38 00:01:55,613 --> 00:01:57,573 Speaker 3: twenty seven years. No one knew they were there, even 39 00:01:57,613 --> 00:01:59,373 Speaker 3: the companies that have been testing it and know all 40 00:01:59,413 --> 00:02:02,493 Speaker 3: about the software. So this is like very powerful stuff. 41 00:02:02,533 --> 00:02:06,213 Speaker 3: And I think the thing that is probably most alarming 42 00:02:06,253 --> 00:02:09,613 Speaker 3: is it's not like it could just you know, create 43 00:02:09,653 --> 00:02:13,293 Speaker 3: a really cool app, you know that's for good. They're 44 00:02:13,333 --> 00:02:15,773 Speaker 3: really concerned about the bad And the thing that kind 45 00:02:15,813 --> 00:02:18,573 Speaker 3: of got me you know, set my alarm bells off. 46 00:02:18,693 --> 00:02:23,293 Speaker 3: Was the US Treasury Secretary. He actually in the wake 47 00:02:23,373 --> 00:02:25,693 Speaker 3: of this, a bunch of the US banks happened to 48 00:02:25,693 --> 00:02:28,413 Speaker 3: be in Washington for some lobbying type of things. But 49 00:02:28,893 --> 00:02:31,693 Speaker 3: he met with all of these critical banks. And you 50 00:02:31,733 --> 00:02:34,413 Speaker 3: can imagine, or I guess you don't want to imagine, 51 00:02:34,413 --> 00:02:37,453 Speaker 3: but you could be a time where imagine if they 52 00:02:37,453 --> 00:02:40,933 Speaker 3: could get into the kind of the critical big US 53 00:02:41,093 --> 00:02:44,773 Speaker 3: banks and they could start messing with transactions or messing with, 54 00:02:45,253 --> 00:02:48,093 Speaker 3: you know, the flow of money like that would just 55 00:02:48,373 --> 00:02:51,053 Speaker 3: upend them. So that would it would be and so 56 00:02:51,133 --> 00:02:54,333 Speaker 3: that wouldn't just be a lawsuit and some liability, that 57 00:02:54,373 --> 00:02:56,013 Speaker 3: would be something quite different. 58 00:02:56,253 --> 00:02:59,613 Speaker 2: And this is the concern, right, So they've basically tested 59 00:02:59,653 --> 00:03:04,053 Speaker 2: this model. They've asked this model to find cybersecurity vulnerabilities 60 00:03:04,573 --> 00:03:07,533 Speaker 2: and some of the most important software in the world. 61 00:03:07,733 --> 00:03:11,373 Speaker 2: And so this is stuff like internet browsers. It's the 62 00:03:12,253 --> 00:03:14,413 Speaker 2: little bits of software that none of us even know 63 00:03:14,813 --> 00:03:17,373 Speaker 2: is being used. So the open source stuff that gets 64 00:03:17,493 --> 00:03:20,493 Speaker 2: used in all manner of software that you use every 65 00:03:20,573 --> 00:03:22,973 Speaker 2: day without even kind of being aware that you're using 66 00:03:22,973 --> 00:03:25,933 Speaker 2: software at a time. And you know, there are examples 67 00:03:25,973 --> 00:03:29,573 Speaker 2: that I've read about where, for example, a piece of 68 00:03:29,613 --> 00:03:35,573 Speaker 2: software has been checked five million times by human cybersecurity experts, 69 00:03:35,853 --> 00:03:40,653 Speaker 2: coding experts, and artificial intelligence models and has never been 70 00:03:40,653 --> 00:03:42,893 Speaker 2: found to have a problem. And now they've put this 71 00:03:42,973 --> 00:03:46,333 Speaker 2: mythos model on it and it's immediately found massive vulnerabilities 72 00:03:46,373 --> 00:03:50,573 Speaker 2: that could be catastrophic. And it's this kind of example replicated, however, 73 00:03:50,653 --> 00:03:53,813 Speaker 2: many times over with However, many companies, however, many forms 74 00:03:53,853 --> 00:03:55,453 Speaker 2: of software that is really worrying. 75 00:03:56,133 --> 00:03:57,893 Speaker 3: Yes, And one of the ones that also got my 76 00:03:58,053 --> 00:03:59,693 Speaker 3: kind of hairs on the back of my neck up 77 00:03:59,773 --> 00:04:02,573 Speaker 3: was Cisco. So the CEO of Cisco, and Cisco makes 78 00:04:02,693 --> 00:04:06,813 Speaker 3: networking kind of hardware, right, but obviously behind the hardware 79 00:04:06,853 --> 00:04:09,253 Speaker 3: is also some software. Now, when you've got the CEO 80 00:04:09,293 --> 00:04:12,373 Speaker 3: of Cisco coming and saying that AI has reached a 81 00:04:12,453 --> 00:04:17,453 Speaker 3: level where critical infrastructure needs to be protected, as Cisco, 82 00:04:17,693 --> 00:04:22,533 Speaker 3: who provides the critical infrastructure for many digital businesses and 83 00:04:23,133 --> 00:04:27,453 Speaker 3: huge networks, you have to think we might be on that, 84 00:04:27,533 --> 00:04:29,853 Speaker 3: we might be at a time where we might need 85 00:04:29,853 --> 00:04:30,573 Speaker 3: to pump the brakes. 86 00:04:30,653 --> 00:04:33,733 Speaker 2: Yeah yeah, so interesting A. So one of the steps 87 00:04:33,733 --> 00:04:36,693 Speaker 2: this company has taken is they've got an alliance of 88 00:04:36,733 --> 00:04:42,253 Speaker 2: cybersecurity companies and like another three or four dozen organizations, 89 00:04:42,253 --> 00:04:46,173 Speaker 2: and they've given them like one hundred million dollars worth 90 00:04:46,213 --> 00:04:48,333 Speaker 2: of tokens to use this model so they can go 91 00:04:48,373 --> 00:04:50,133 Speaker 2: and test it before it's released in the public, which 92 00:04:50,133 --> 00:04:51,933 Speaker 2: seems like probably a very good idea, and they may 93 00:04:51,973 --> 00:04:53,733 Speaker 2: need more, who knows, but they'll be fascinating to see 94 00:04:53,773 --> 00:04:56,493 Speaker 2: what happens with this. Thank you, Paul. That is Paul Stenhouse, 95 00:04:56,653 --> 00:04:59,773 Speaker 2: our texpert this morning. Mythos is the name of that 96 00:04:59,853 --> 00:05:02,573 Speaker 2: new model from Anthropic. It has not been released to 97 00:05:02,573 --> 00:05:04,573 Speaker 2: the general public and it might be some time before 98 00:05:04,573 --> 00:05:04,813 Speaker 2: it is. 99 00:05:05,653 --> 00:05:08,773 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 100 00:05:08,853 --> 00:05:11,693 Speaker 1: to News Talks at B from nine am Saturday, or 101 00:05:11,733 --> 00:05:13,653 Speaker 1: follow the podcast on iHeartRadio