1 00:00:07,133 --> 00:00:10,453 Speaker 1: You're listening to the Saturday Morning with Jack Tame podcast 2 00:00:10,573 --> 00:00:11,733 Speaker 1: from News Talks that be. 3 00:00:12,733 --> 00:00:16,333 Speaker 2: Our Textbert Paul Stenhouse is here with details of a 4 00:00:16,493 --> 00:00:20,373 Speaker 2: consequential decision by the Supreme Court in the United States 5 00:00:21,093 --> 00:00:25,893 Speaker 2: considering or concerning one very large state, Paul, and one 6 00:00:26,013 --> 00:00:27,253 Speaker 2: very large website. 7 00:00:27,893 --> 00:00:30,893 Speaker 3: Yeah. Yeah, the very large state is Texas, Jack, And 8 00:00:30,933 --> 00:00:34,613 Speaker 3: the websites are the websites we don't really talk about 9 00:00:34,653 --> 00:00:37,893 Speaker 3: a lot. And are those adult websites on the internet, 10 00:00:38,333 --> 00:00:43,773 Speaker 3: as you catch my drift. And so this Texas law 11 00:00:43,933 --> 00:00:49,693 Speaker 3: Right had basically said that children should not be allowed 12 00:00:49,693 --> 00:00:56,293 Speaker 3: to view the adultites, right, which sounds normal, reasonable, Like, okay, 13 00:00:56,333 --> 00:01:00,933 Speaker 3: that makes sense, sounds reasonable. Yeah. Now, now obviously there's 14 00:01:00,933 --> 00:01:03,053 Speaker 3: some issues there around how you enforced that, but we'll 15 00:01:03,053 --> 00:01:07,413 Speaker 3: put that aside for the moment. This this group though, 16 00:01:07,613 --> 00:01:11,373 Speaker 3: claimed that in America we've got the First Amendment, which 17 00:01:11,413 --> 00:01:15,613 Speaker 3: is all about free speech. They claimed that putting that 18 00:01:15,813 --> 00:01:21,053 Speaker 3: rule in place actually violated the free speech of the 19 00:01:21,733 --> 00:01:26,573 Speaker 3: adults right who wanted to view said content. And they 20 00:01:26,733 --> 00:01:29,973 Speaker 3: said that the reason why was that in order to 21 00:01:30,333 --> 00:01:33,213 Speaker 3: view said content, you need to put in like, you know, 22 00:01:33,293 --> 00:01:36,613 Speaker 3: like a government ide or a credit card and there's 23 00:01:36,613 --> 00:01:40,253 Speaker 3: probably like a viewing history because you're authenticated, and that 24 00:01:40,853 --> 00:01:45,493 Speaker 3: those people may be deterred from what who said, adult 25 00:01:45,613 --> 00:01:49,973 Speaker 3: content that would impose on their free speech and so 26 00:01:50,653 --> 00:01:54,533 Speaker 3: this means to a Supreme Court Texas. Then the Supreme 27 00:01:54,533 --> 00:01:57,653 Speaker 3: Court ruled in favor of the Texas law, saying, actually, 28 00:01:58,093 --> 00:02:01,613 Speaker 3: the government is within its bounds to try to protect 29 00:02:01,773 --> 00:02:07,213 Speaker 3: children and this is well and just and good. And 30 00:02:07,453 --> 00:02:10,533 Speaker 3: Texas is one of twenty four states did you know 31 00:02:10,573 --> 00:02:16,733 Speaker 3: that have passed age verification laws for adult websites online? 32 00:02:16,813 --> 00:02:19,093 Speaker 3: And so this is really now paved the way and 33 00:02:19,133 --> 00:02:22,013 Speaker 3: people have kind of started to think, well, what else 34 00:02:22,053 --> 00:02:26,093 Speaker 3: could this be applied to, right, because the Internet's always 35 00:02:26,133 --> 00:02:28,573 Speaker 3: been kind of free and open, and there's always been 36 00:02:28,613 --> 00:02:31,973 Speaker 3: the idea, and now we've said, hang on, the government 37 00:02:32,213 --> 00:02:34,653 Speaker 3: or a state government in the United States can now 38 00:02:34,773 --> 00:02:38,133 Speaker 3: decide whether or not you need to be age verified 39 00:02:38,173 --> 00:02:42,933 Speaker 3: to view certain content. Because this is another interesting one too. 40 00:02:42,933 --> 00:02:49,613 Speaker 3: The Texas Governor Jack called, you know, the proliferation of 41 00:02:49,813 --> 00:02:54,173 Speaker 3: access that children drink can have to said adult websites, 42 00:02:54,653 --> 00:03:01,293 Speaker 3: a public health crisis. Wow. So those realms of looking 43 00:03:01,333 --> 00:03:05,573 Speaker 3: after children, which is a hard core you know, it's interesting. 44 00:03:05,813 --> 00:03:08,133 Speaker 3: I think interesting arguments on both sides. 45 00:03:08,213 --> 00:03:10,253 Speaker 2: Yeah, yeah, you can. You could this kind of there's 46 00:03:10,293 --> 00:03:12,813 Speaker 2: actually nuance. I mean, there's a tricky subject and one 47 00:03:12,853 --> 00:03:16,573 Speaker 2: that we can sort of only go into some No, 48 00:03:16,613 --> 00:03:19,933 Speaker 2: you've done it very You very definitely described the situation, 49 00:03:20,013 --> 00:03:21,933 Speaker 2: I think, Paul, so we can we can thank you 50 00:03:22,333 --> 00:03:24,693 Speaker 2: for that, especially given school holidays have just kicked off. 51 00:03:24,853 --> 00:03:28,733 Speaker 2: But lose curious because you can imagine from the website's perspective, 52 00:03:29,173 --> 00:03:34,213 Speaker 2: like having this verification is a massive barrier to increasing viewership, right, 53 00:03:34,493 --> 00:03:37,893 Speaker 2: and you can imagine there are real privacy and security 54 00:03:37,893 --> 00:03:40,573 Speaker 2: concerns if there is age verification and then people have 55 00:03:41,053 --> 00:03:45,013 Speaker 2: viewing histories and that information was hacked or leaked or 56 00:03:45,053 --> 00:03:47,213 Speaker 2: something like that and then made public. Like you can 57 00:03:47,293 --> 00:03:51,133 Speaker 2: just you can just imagine, like there are all sorts 58 00:03:51,213 --> 00:03:55,693 Speaker 2: of really interesting free speech implications I think as well. So, yeah, hey, 59 00:03:55,813 --> 00:04:00,173 Speaker 2: Salesforce and the CEO at Salesforce now reckon that between 60 00:04:00,213 --> 00:04:03,413 Speaker 2: thirty and fifty percent of the internal work that the 61 00:04:03,453 --> 00:04:06,773 Speaker 2: company is doing is done by AI. That is that, right, 62 00:04:06,813 --> 00:04:08,613 Speaker 2: That seems like a very very high figure. 63 00:04:10,173 --> 00:04:12,373 Speaker 3: That's what I thought too, That's what he said in 64 00:04:12,813 --> 00:04:16,293 Speaker 3: a recent interview. He didn't see her it was being measured, 65 00:04:16,653 --> 00:04:19,933 Speaker 3: but it seems staggering, doesn't it. I Mean, he then 66 00:04:19,973 --> 00:04:22,053 Speaker 3: goes on to say that it is being used for 67 00:04:22,133 --> 00:04:25,373 Speaker 3: things like software engineering, it's being used for things like 68 00:04:25,413 --> 00:04:29,253 Speaker 3: customer service, and so I can imagine maybe in some 69 00:04:29,333 --> 00:04:32,693 Speaker 3: of those areas thirty to fifty percent of that work 70 00:04:32,733 --> 00:04:35,573 Speaker 3: is now being done by AI. But I think it 71 00:04:35,613 --> 00:04:40,133 Speaker 3: really goes to show, right, just these big companies have 72 00:04:40,333 --> 00:04:42,293 Speaker 3: when they go when they go all in, and when 73 00:04:42,293 --> 00:04:44,133 Speaker 3: they had gone all in on AI, they have gone 74 00:04:44,133 --> 00:04:47,613 Speaker 3: all in. Salesforce even says that that this tick like 75 00:04:47,693 --> 00:04:51,693 Speaker 3: the AI kind of agent piece, you know, and Salesforce 76 00:04:51,733 --> 00:04:54,973 Speaker 3: also wants to sell their own agent solutions that does 77 00:04:55,053 --> 00:04:58,653 Speaker 3: some of the customer service stuff. Right, So he's kind 78 00:04:58,653 --> 00:05:01,893 Speaker 3: of talking about this, you know, he's talking about it 79 00:05:01,893 --> 00:05:05,293 Speaker 3: in a way that makes positions as product well, but yes, 80 00:05:05,333 --> 00:05:07,413 Speaker 3: of course, you know a lot of that work, a 81 00:05:07,413 --> 00:05:11,213 Speaker 3: lot of that work can be done by these agents 82 00:05:11,533 --> 00:05:13,773 Speaker 3: and now is being done by these agents and has 83 00:05:13,893 --> 00:05:18,333 Speaker 3: allowed them to hire fewer humans. And he said that 84 00:05:18,413 --> 00:05:21,333 Speaker 3: he has staged that, and so we definitely in this age. 85 00:05:21,373 --> 00:05:24,493 Speaker 3: Now we're at this tipping point. I guess where the 86 00:05:24,533 --> 00:05:28,333 Speaker 3: technology is there. It's now good enough, and this deployed 87 00:05:28,853 --> 00:05:33,093 Speaker 3: well enough can actually be taking over the jobs that 88 00:05:33,133 --> 00:05:35,373 Speaker 3: folks do. Now, the companies will say that the jobs 89 00:05:35,373 --> 00:05:40,533 Speaker 3: aren't being removed, being positioned. Repositioned is a higher value work, 90 00:05:41,053 --> 00:05:43,213 Speaker 3: which you try to take them to their word for. 91 00:05:43,653 --> 00:05:47,413 Speaker 3: But it's also not just salesforce, Jack, because Microsoft and 92 00:05:47,493 --> 00:05:50,773 Speaker 3: Alphabet have said that they've kind of claimed some similar 93 00:05:50,813 --> 00:05:53,653 Speaker 3: stats too. Around they're saying around thirty percent of the 94 00:05:53,773 --> 00:05:58,213 Speaker 3: code on then projects, the new code is being contributed 95 00:05:58,253 --> 00:06:02,733 Speaker 3: by AI. So this isn't just like a flashpand thing anymore. 96 00:06:02,773 --> 00:06:10,373 Speaker 3: This is like, has some real implications for humans and yeah, economies. 97 00:06:10,493 --> 00:06:14,213 Speaker 2: Yeah, oh my god. And the entire workforce, the entire 98 00:06:14,253 --> 00:06:17,653 Speaker 2: middle class, desk bound workforce. Yeah, I mean yeah, it 99 00:06:17,773 --> 00:06:20,093 Speaker 2: is incredible to think if that numbers, you know, even 100 00:06:20,133 --> 00:06:22,373 Speaker 2: close to being correct, that's amazing, Paul, thank you so 101 00:06:22,493 --> 00:06:25,013 Speaker 2: much for that. That's our texpert Paul Stenhouse. 102 00:06:25,573 --> 00:06:28,693 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 103 00:06:28,773 --> 00:06:31,573 Speaker 1: to news talks that'd be from nine am Saturday, or 104 00:06:31,653 --> 00:06:33,573 Speaker 1: follow the podcast on iHeartRadio