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 --> 00:00:11,733 Speaker 1: from news Talks at be. 3 00:00:12,853 --> 00:00:15,813 Speaker 2: Every week, AI seems to get better and chat gpt, 4 00:00:15,973 --> 00:00:19,013 Speaker 2: how now has a new function that extends beyond the 5 00:00:19,093 --> 00:00:22,533 Speaker 2: basic inputs when it comes to the large language models. 6 00:00:22,533 --> 00:00:24,733 Speaker 2: Our textbot, Paul Steinhouse is here to put it in 7 00:00:24,773 --> 00:00:26,293 Speaker 2: normal English for us. What does it mean? 8 00:00:26,333 --> 00:00:29,253 Speaker 3: Paul? Yeah, maybe I should have just asked chat gpt 9 00:00:29,413 --> 00:00:32,013 Speaker 3: to do that for me. Shouldn't I please explain everything 10 00:00:32,053 --> 00:00:35,373 Speaker 3: you're actually doing in normal language. No, there's a new 11 00:00:35,413 --> 00:00:38,933 Speaker 3: word in the AI world, Jack that's taking storm, and 12 00:00:38,973 --> 00:00:42,253 Speaker 3: I think chat GPT is kind of leaning into this. 13 00:00:42,373 --> 00:00:45,693 Speaker 3: It's the agent, right. The agent is sort of the 14 00:00:45,733 --> 00:00:49,933 Speaker 3: next phase of this AI evolution, and it's where instead 15 00:00:49,973 --> 00:00:52,253 Speaker 3: of just you sitting there and typing something into the 16 00:00:52,253 --> 00:00:55,813 Speaker 3: thing and coming back with something, you can say do 17 00:00:55,933 --> 00:00:58,013 Speaker 3: a thing and it will go away and it will 18 00:00:58,013 --> 00:01:02,253 Speaker 3: actually take steps and think and be able to do 19 00:01:02,373 --> 00:01:05,893 Speaker 3: a whole series of tasks all on its own, and 20 00:01:06,453 --> 00:01:10,213 Speaker 3: multi step things too. And so what open aiyes now 21 00:01:10,493 --> 00:01:12,933 Speaker 3: release to these new agents on their paid plans. They're 22 00:01:12,933 --> 00:01:15,973 Speaker 3: coming to the free plan soon. But this is the 23 00:01:16,053 --> 00:01:17,413 Speaker 3: sort of thing that you're going to be able to 24 00:01:17,413 --> 00:01:20,053 Speaker 3: do right. So you could give it just a bunch 25 00:01:20,093 --> 00:01:23,813 Speaker 3: of information that could be just like PDFs or emails 26 00:01:23,933 --> 00:01:26,853 Speaker 3: or spreadsheets, all the kind of things, maybe from you know, 27 00:01:27,133 --> 00:01:29,933 Speaker 3: my documents folder at work. You throw it in there 28 00:01:29,973 --> 00:01:32,973 Speaker 3: and you say, okay, I need you to find the 29 00:01:33,053 --> 00:01:35,773 Speaker 3: narrative the insights across all of this information and credit 30 00:01:35,773 --> 00:01:38,693 Speaker 3: PowerPoint for me, right, and it will go away. It 31 00:01:38,773 --> 00:01:42,413 Speaker 3: will do it. It doesn't need the handholding. It does its reasoning, 32 00:01:42,493 --> 00:01:44,813 Speaker 3: peace and the magic. And we'll come back with that 33 00:01:44,933 --> 00:01:48,453 Speaker 3: type of thing. But the new one, the new agents 34 00:01:48,533 --> 00:01:51,653 Speaker 3: can even browse the web for you and even take 35 00:01:51,693 --> 00:01:55,773 Speaker 3: over a virtual computer and truly do things on your behalf. 36 00:01:55,853 --> 00:01:58,613 Speaker 3: So I was thinking this, would you know, this is 37 00:01:58,693 --> 00:02:02,213 Speaker 3: maybe not something you can do tomorrow, but see, we'll see. 38 00:02:02,933 --> 00:02:05,613 Speaker 3: You could take, say a photo of the contents of 39 00:02:05,613 --> 00:02:08,453 Speaker 3: your fridge. You could give it, you know, oh I 40 00:02:08,573 --> 00:02:10,773 Speaker 3: like this and I like that, give it some preferences, 41 00:02:11,413 --> 00:02:13,133 Speaker 3: and then you could tell it to come up with 42 00:02:13,173 --> 00:02:16,933 Speaker 3: a meal plan a bunch of recipes, and it can 43 00:02:17,053 --> 00:02:19,013 Speaker 3: even go away and put all that stuff into a 44 00:02:19,093 --> 00:02:21,733 Speaker 3: cart for you from your favorite supermarket. 45 00:02:21,813 --> 00:02:22,533 Speaker 2: That is amazing. 46 00:02:22,973 --> 00:02:27,533 Speaker 3: Yeah, like that is now. Now it may not be 47 00:02:27,613 --> 00:02:29,853 Speaker 3: perfect and it may not be polished. Yeah, but that 48 00:02:30,053 --> 00:02:32,173 Speaker 3: is now where we're at in terms of what is 49 00:02:32,253 --> 00:02:34,613 Speaker 3: possible with AI. It's not just hey, can you do 50 00:02:34,693 --> 00:02:37,413 Speaker 3: something fun for me? It's like, no, actually need can 51 00:02:37,453 --> 00:02:38,533 Speaker 3: you do my meals? Yeah? 52 00:02:39,173 --> 00:02:41,493 Speaker 2: Yeah, And the point is, I suppose that the stuff 53 00:02:41,533 --> 00:02:43,533 Speaker 2: is just getting better and better. So even if it 54 00:02:43,573 --> 00:02:46,893 Speaker 2: isn't perfect and one hundred percent polished right now, it's 55 00:02:46,933 --> 00:02:48,693 Speaker 2: only going to get better and better. And the more 56 00:02:48,733 --> 00:02:52,133 Speaker 2: that people feed in information, the faster it will improve. 57 00:02:52,253 --> 00:02:52,413 Speaker 1: Right. 58 00:02:52,453 --> 00:02:55,733 Speaker 2: That's how these kind of that's the kind of exponential 59 00:02:55,853 --> 00:02:59,293 Speaker 2: nature of this AI progress. It's it's kind of yeah, 60 00:02:59,333 --> 00:03:03,693 Speaker 2: it's remarkable and as you will no doubt have expected, Paul, 61 00:03:03,773 --> 00:03:07,933 Speaker 2: valuations are absolutely skyrocketing for these AI companies. 62 00:03:08,573 --> 00:03:08,853 Speaker 1: Yeah. 63 00:03:08,973 --> 00:03:11,933 Speaker 3: Yeah, because people that the advancements are happening so fast, 64 00:03:11,973 --> 00:03:14,653 Speaker 3: like faster than any kind of technology we've kind of seen, 65 00:03:15,533 --> 00:03:17,213 Speaker 3: and people want to be part of it, I think. 66 00:03:17,293 --> 00:03:20,973 Speaker 3: And so Bloomberg is reporting that the big open AI 67 00:03:21,133 --> 00:03:24,933 Speaker 3: chat gpt raval called Anthropic, they're going to be doing 68 00:03:24,973 --> 00:03:28,493 Speaker 3: apparently some another investment round that could value the company 69 00:03:28,613 --> 00:03:32,013 Speaker 3: at one hundred billion US dollars. 70 00:03:32,173 --> 00:03:34,933 Speaker 2: That's amazing. That is just absolutely ridiculous. What do you 71 00:03:34,973 --> 00:03:37,413 Speaker 2: think the chances are maybe we should spend more time 72 00:03:37,453 --> 00:03:39,253 Speaker 2: on this at some point. What do you think the 73 00:03:39,333 --> 00:03:44,533 Speaker 2: chances are that some of this AI hype is never 74 00:03:44,573 --> 00:03:46,653 Speaker 2: going to come to fruition? Like, can you put a 75 00:03:46,693 --> 00:03:49,853 Speaker 2: percentage number on it? Can you say, you know, maybe 76 00:03:50,013 --> 00:03:52,213 Speaker 2: thirty percent of the hype is going to live up 77 00:03:52,293 --> 00:03:54,973 Speaker 2: to you know, live up to expectations in the next 78 00:03:55,013 --> 00:03:55,693 Speaker 2: decade or so. 79 00:03:56,573 --> 00:04:00,333 Speaker 3: Do you know, I mean it being completely autonomous and 80 00:04:00,413 --> 00:04:04,333 Speaker 3: taking a whole bunch of jobs. Maybe not, But there's 81 00:04:04,373 --> 00:04:06,813 Speaker 3: actually a pretty good percentage, right, I mean, I've talked 82 00:04:06,813 --> 00:04:08,533 Speaker 3: about some of the technology that we've seen come and 83 00:04:08,573 --> 00:04:11,013 Speaker 3: go over the years, like three DTV was one that 84 00:04:11,053 --> 00:04:13,413 Speaker 3: I just never understood and couldn't understand why people were 85 00:04:13,413 --> 00:04:15,493 Speaker 3: getting excited about that sort of thing, like that's never 86 00:04:15,533 --> 00:04:18,133 Speaker 3: going to happen, And then like the NFT whole thing 87 00:04:18,173 --> 00:04:21,213 Speaker 3: that was happening. This is just the symptom of an 88 00:04:21,253 --> 00:04:22,973 Speaker 3: economy trying to work out what to do with some 89 00:04:23,013 --> 00:04:27,173 Speaker 3: interesting technology. But this does feel different because, and I 90 00:04:27,213 --> 00:04:30,013 Speaker 3: say it feels different because we're not that far away, 91 00:04:30,093 --> 00:04:32,133 Speaker 3: like you can take a photo. Like all of those 92 00:04:32,173 --> 00:04:35,173 Speaker 3: things I mentioned about the recipes and doing the meal 93 00:04:35,213 --> 00:04:38,893 Speaker 3: plan is all possible today. That's not like science fiction. 94 00:04:39,173 --> 00:04:41,453 Speaker 3: That's real. It can you can take a photo and 95 00:04:41,493 --> 00:04:44,213 Speaker 3: it can interpret what the items are from your fridge 96 00:04:44,413 --> 00:04:46,813 Speaker 3: and put a list. It can take that list and 97 00:04:46,813 --> 00:04:49,533 Speaker 3: create recipes. You know. The bit that it's now doing 98 00:04:49,693 --> 00:04:51,893 Speaker 3: with the whole browser piece is really cool. Now how 99 00:04:51,933 --> 00:04:53,413 Speaker 3: accurate that is. We're going to have to put it 100 00:04:53,413 --> 00:04:56,173 Speaker 3: through its paces. But that's like the last link in 101 00:04:56,213 --> 00:05:00,293 Speaker 3: the chain. So if you imagine that's just like the 102 00:05:00,333 --> 00:05:03,213 Speaker 3: photo of your fridge, think about all the things you 103 00:05:03,253 --> 00:05:06,773 Speaker 3: do each day at work, think about all the undane 104 00:05:06,853 --> 00:05:11,133 Speaker 3: tasks that go on. It's coming for those. Yeah, and 105 00:05:11,173 --> 00:05:13,173 Speaker 3: that's where I think it's that's where I think that 106 00:05:13,213 --> 00:05:14,973 Speaker 3: maybe the hype is real. 107 00:05:15,093 --> 00:05:18,333 Speaker 2: What do they call it Amara's law? Right? Amara's Law 108 00:05:18,413 --> 00:05:21,253 Speaker 2: concerns the effects of technology and says that we tend 109 00:05:21,253 --> 00:05:25,693 Speaker 2: to overestimate, like the effect of technology or the impacts 110 00:05:25,693 --> 00:05:28,493 Speaker 2: of technology in the short term, but then underestimate in 111 00:05:28,533 --> 00:05:32,333 Speaker 2: the long term. So, yeah, even if just a sliver 112 00:05:32,533 --> 00:05:35,973 Speaker 2: of the AI hype kind of holds true over the 113 00:05:36,013 --> 00:05:38,573 Speaker 2: long term, we're inf some profound changes. Thanks so much. Paul. 114 00:05:39,213 --> 00:05:42,293 Speaker 2: Paul Stenhouse is our text bit with us this morning. 115 00:05:42,853 --> 00:05:45,973 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 116 00:05:46,053 --> 00:05:48,893 Speaker 1: to news talks that'd be from nine am Saturday, or 117 00:05:48,933 --> 00:05:50,853 Speaker 1: follow the podcast on iHeartRadio