WEBVTT 00:00:21.774 --> 00:00:23.097 hello, habit mechanics. 00:00:23.097 --> 00:00:25.423 Dr john finn here, hope you're having a great week so far. 00:00:25.423 --> 00:00:36.170 So the the last week has been very interesting in terms of ai and its developments. 00:00:36.170 --> 00:00:59.555 We started the week, in the uk at least, with, I think, the government minister for technology and innovation saying that UK workers really needed to start building AI into their workflows or they'd get left behind. 00:00:59.555 --> 00:01:04.509 I think that was an article in the Guardian newspaper. 00:01:04.509 --> 00:01:09.049 I think that was an article in the Guardian newspaper. 00:01:09.049 --> 00:01:14.685 We saw Amazon was really the first big company. 00:01:15.789 --> 00:01:38.681 Amazon employ 1.5 million people in the US and significant numbers of other people or of people in other countries saying they publicly came out and said that we will be replacing some human roles with AI and you know no guarantees about would the technology create new roles? 00:01:38.681 --> 00:01:42.340 They didn't know, they thought it might, but they weren't sure. 00:01:42.340 --> 00:01:50.933 We ourselves gave our first although we've given many online talks about this. 00:01:50.933 --> 00:02:30.367 We gave our first um in-person talk to one of our partners um, and in fact it's one of our partner schools that we've worked with for, I think, 13 or 14 years now, and we were speaking to their parents, who are a great group of people, very rich, diverse professional backgrounds, many in the city of London, but also many in many working in the city of London, but also many working in the other core sectors in London. 00:02:30.367 --> 00:02:40.165 So it was great to talk to them about creating high-performing human AI teams and get their thoughts and their feedback. 00:02:40.165 --> 00:02:55.425 Some of the insights that were shared in the conversations afterwards surprised me at the speed things are going and, in fact, the sums of money that are being invested in by some businesses. 00:02:55.425 --> 00:02:58.025 So that was really insightful. 00:03:00.549 --> 00:03:05.658 The story has come into the mainstream. 00:03:05.658 --> 00:03:06.780 That Mark Zuckerberg. 00:03:06.780 --> 00:03:11.855 So this is just another interesting thing that we've seen this week coming to the mainstream. 00:03:11.855 --> 00:03:38.699 Mark Zuckerberg is paying $100 million yes, $100 million sign-on fees as he tries to assemble a team of, I think, 50, what he might call super developers working on general purpose AI. 00:03:38.699 --> 00:03:55.804 So, rather than these kind of specific agents we're seeing emerging rapidly creating an AI which is general, more human-like and possibly surpassing human intelligence or humans' ability. 00:03:55.804 --> 00:04:05.417 Well, yeah, to learn, which is what intelligence is, and I think probably a conversation for the podcast, because we sometimes misunderstand what intelligence means. 00:04:05.417 --> 00:04:06.651 It's just about learning. 00:04:06.651 --> 00:04:29.471 So that's been going on and I just think in every direction we look, we can see businesses are starting to make this transition to smaller teams of humans who are working with AI technologies and who can deliver significantly more value to the business. 00:04:33.497 --> 00:04:58.771 And the other thing that I've heard this week is Geoffrey Hinton, who is the godfather of AI, and he was quoted in a BBC article that talked about this Amazon statement, and Geoffrey Hinton spoke on a popular podcast. 00:04:58.771 --> 00:05:42.422 Geoffrey Hinton is basically the guy who has worked on neural networks all his life and there are other AI models out there, but he persisted with neural networks and eventually got them to work, and neural networks are the core technology that are driving the AI tools we're using today, and it was Geoffrey Hinton Geoffrey Hinton's story that really got me interested in these new AI technologies a couple of years ago when I read the Genius Makers book, because he's the protagonist of that book. 00:05:42.422 --> 00:06:19.321 So he's a London academic and I think he used to work at UCL, but there wasn't much appetite for neural networks in the UK so he eventually moved to canada and that's where he's done most of his academic work, but essentially a lot of the the leading thinkers in the ai space are his students, um, and jeffrey hinton, with some of his students, created a business that they sold to google and um, very interesting character. 00:06:19.321 --> 00:06:20.204 You should check him out. 00:06:20.204 --> 00:06:36.060 But he's talking about the, the potential of ai, both in what it can do in a beneficial way, but both some of the potential downsides. 00:06:37.665 --> 00:06:46.596 But what is very interesting is we hear a it's a bit of a narrative out there yeah, about ai, people saying, yeah, but it will create new jobs, won't it? 00:06:46.596 --> 00:06:51.495 Because all new technologies create new jobs and people use different examples. 00:06:51.495 --> 00:06:54.100 The one I know is the typewriter. 00:06:54.100 --> 00:07:03.185 People thought the typewriter would put people out of work and it created more jobs and lots of other technologies have done the same. 00:07:03.185 --> 00:07:07.502 And in this podcast he's saying AI is different. 00:07:07.502 --> 00:07:16.242 He doesn't believe we'll create lots of new jobs because it can do most of what most people get paid to do every day. 00:07:16.242 --> 00:07:21.103 So this is the reality check, because it can do most of what most people get to do every day. 00:07:21.163 --> 00:07:26.194 So this is the reality check, and sometimes I feel like it's just us saying this stuff, but it's not. 00:07:26.194 --> 00:07:26.514 It's real. 00:07:26.514 --> 00:07:27.697 We're not scaremongering. 00:07:27.697 --> 00:07:28.199 It's absolutely real. 00:07:28.199 --> 00:07:41.334 We want to help people to prepare and to thrive in an AI-powered world and I think AI gives us the opportunity to do that, but only if we can get brain state intelligent. 00:07:41.334 --> 00:08:01.127 So I just think we've had a really interesting week which has, I think, put a spotlight on the pace of AI development and it's moving faster than anybody thought in January. 00:08:01.127 --> 00:08:08.723 Because, you know, in January there's a lot of reports coming out around this stuff and it was all kind of projected that, oh, in five years time we might see these things. 00:08:08.723 --> 00:08:19.595 But you know, six months later we're starting to see big shifts big shifts in language, shifts in positioning, big shifts in case studies. 00:08:19.735 --> 00:08:35.441 Another thing I spoke to a friend this week who's a developer and he was just saying that he developed a little Chrome plugin Not so little, pretty clever. 00:08:35.441 --> 00:08:42.288 Most of us couldn't do it, but he said that he was able to create that in three days using ai powered tools. 00:08:42.288 --> 00:08:51.542 Previously he said that similar project would have taken him more like three weeks and, um, or maybe even three months. 00:08:51.542 --> 00:08:59.902 I can't remember after, but it's one of those two, both impressive, right, and he was saying he felt like an octopus that he just had. 00:08:59.902 --> 00:09:02.375 He could just move so quickly. 00:09:02.375 --> 00:09:08.213 So, yeah, just so, so, so interesting. 00:09:10.386 --> 00:09:22.526 We started the year with predictions, but now we're seeing reality, we're seeing the real-time impact of these technologies and a lot of the people I speak to. 00:09:22.526 --> 00:09:25.674 They're getting massive benefits from these technologies. 00:09:25.674 --> 00:09:29.242 But again, the key is it's brain state intelligence. 00:09:29.242 --> 00:09:31.907 Some people are scared of the technologies. 00:09:31.907 --> 00:09:35.865 I completely understand that and I have seen quite an adverse reaction from some people. 00:09:35.865 --> 00:09:42.274 I completely understand that and I have seen quite an adverse reaction from some people. 00:09:42.274 --> 00:09:44.076 Yeah, and it's understandable. 00:09:44.076 --> 00:10:12.596 But I think ultimately, once people start to try these technologies and they can see what they can do and and they can recognise that it's just simply a way to outsource, instead of having to use your own brain to do everything you know, we never have enough time in the day to do that, we never have enough brain power every day to do what we want to get done we can outsource some of that brain power in a very cost-effective way. 00:10:12.596 --> 00:10:21.593 But yeah, that's just a bit of a reflection really, and I think I'll come back and talk about neural networks in a different pod. 00:10:25.895 --> 00:10:40.709 But I think the main, the main insight I've taken away from this week, is just how quickly things are moving and, of course, they're just the things that we see in the public domain. 00:10:40.709 --> 00:10:52.734 Having spent many years working in professional sport behind the scenes, you learn that most of what you read in the sports page is certainly about the teams I was involved in. 00:10:52.734 --> 00:11:08.798 Either wasn't Well, it's often not reported the things that are actually going on, or if they are reported, they're very delayed. 00:11:08.798 --> 00:11:19.627 So this is only what we know about, right, but anyway, that's just the data that we can use right now to guide us. 00:11:19.627 --> 00:11:22.375 But I think the main message is this is not going away. 00:11:22.375 --> 00:11:28.654 It's not a fad, it's not the millennium uh bug, it's um, it's here. 00:11:28.654 --> 00:11:31.338 The sums of money that have been invested in it are enormous. 00:11:31.338 --> 00:11:42.016 The results some people are getting already and the technologies baby like are enormous, and I know that we can all use it. 00:11:42.016 --> 00:11:55.964 If we learn how to use it properly, we'll be safer and it can help us to be healthier, happier and at our best more often. 00:11:57.215 --> 00:11:58.203 So thank you for listening. 00:11:58.203 --> 00:12:18.712 Remember, we've got our free mini course where we talk about how to create high performing human AI teams, and if you haven't got Train your Brain for the Air Evolution book yet, that's getting a lot of traction as well. 00:12:18.712 --> 00:12:22.413 So if you haven't got it, get it. 00:12:22.413 --> 00:12:24.951 If you've already got it, read it. 00:12:24.951 --> 00:12:25.774 Read it again. 00:12:25.774 --> 00:12:27.971 Put the things into practice. 00:12:27.971 --> 00:12:37.329 Yeah, we've got some exciting news about some training we're working on at the moment, just to make it easier for people to put these things into practice. 00:12:37.329 --> 00:12:45.560 So wherever we are right now, it's not fixed, it's not deterministic. 00:12:45.560 --> 00:12:53.474 Wherever our brain state score is, we can do better and that's why we always say you're only one brain state, habit away.