WEBVTT - Human 3.0—The Skills & Mental Frames Required To Thrive In An AI World 0:00:01.129 --> 0:00:04.460 Welcome to Unsupervised Learning, a security, AI and meaning focused 0:00:04.460 --> 0:00:07.310 podcast that looks at how best to thrive as humans 0:00:07.310 --> 0:00:11.540 in a post AI world. It combines original ideas, analysis, 0:00:11.570 --> 0:00:14.780 and mental models to bring not just the news, but 0:00:14.780 --> 0:00:16.730 why it matters and how to respond. 0:00:21.710 --> 0:00:25.730 So hello everyone, welcome to this AI at Ypo session. 0:00:25.730 --> 0:00:28.550 We're delighted to have Daniel Miessler here with us today 0:00:28.550 --> 0:00:31.100 to speak on the skills and mental frames required to 0:00:31.130 --> 0:00:34.580 thrive in an AI world. Daniel Miessler is the founder 0:00:34.580 --> 0:00:37.940 of Unsupervised Learning, which is a company that focuses on 0:00:37.940 --> 0:00:42.620 building products that help companies, organizations, and people identify, articulate, 0:00:42.620 --> 0:00:45.710 and execute on their purpose in the world. Daniel has 0:00:45.710 --> 0:00:49.159 over 20 years experience in cybersecurity, and has spent the 0:00:49.159 --> 0:00:52.310 last several years focused on applying AI to business and 0:00:52.310 --> 0:00:58.310 human problems. Daniel has held senior positions at Apple, Robinhood, Ioactive, HPE, 0:00:58.310 --> 0:01:01.510 and many other companies, as well as consulted for or 0:01:01.510 --> 0:01:04.600 been embedded in hundreds of others in the fortune 500 0:01:04.600 --> 0:01:07.660 and global 1000. So thank you very much for being 0:01:07.660 --> 0:01:10.030 here with us today, Daniel. The floor is now yours. 0:01:10.060 --> 0:01:14.080 All right. Yeah. Thank you for having me. So what 0:01:14.080 --> 0:01:16.119 I want to talk about today is what I believe 0:01:16.150 --> 0:01:19.780 is coming for us with AI, and what we can 0:01:19.780 --> 0:01:22.660 do to get ready for it. So I want to 0:01:22.660 --> 0:01:27.520 start with some background, some analysis and predictions, and then 0:01:27.550 --> 0:01:31.150 give some recommendations on how to get ready for this 0:01:31.150 --> 0:01:33.850 thing that I believe is coming. So I don't normally 0:01:33.850 --> 0:01:39.039 do intro slides because I feel like I would rather 0:01:39.040 --> 0:01:41.290 just get into the ideas, but in this case, I'm 0:01:41.290 --> 0:01:43.540 going to make a little bit of an exception, because 0:01:43.540 --> 0:01:45.730 I think it's important to see like the background of 0:01:45.730 --> 0:01:48.610 where this is coming from. So I won't be sharing 0:01:48.610 --> 0:01:50.860 any CV stuff, but just want to talk about some 0:01:50.860 --> 0:01:53.860 stuff that I think is relevant. So I've been thinking 0:01:53.860 --> 0:01:58.550 and writing online about things in the future since around 1999, 0:01:58.550 --> 0:02:04.340 and started a podcast about security called Unsupervised Learning in 2015, 0:02:04.340 --> 0:02:06.230 and I wrote a short book on what I saw 0:02:06.260 --> 0:02:10.490 as being the future in around 2016. And in that book, 0:02:10.490 --> 0:02:15.530 I basically talked about a future of digital assistants, basically 0:02:15.530 --> 0:02:19.460 helping us as humans, a world made up of APIs, 0:02:19.460 --> 0:02:24.620 and basically having those digital assistants mediate the world for us, 0:02:24.650 --> 0:02:29.840 be like a broker in between us and that API world. 0:02:29.840 --> 0:02:32.870 And I think this is already starting to happen now. 0:02:32.870 --> 0:02:37.370 So I studied ML pretty deeply in 2017, especially Andrew 0:02:37.400 --> 0:02:40.220 Ng's full course, which I still recommend. I believe he 0:02:40.220 --> 0:02:44.149 has a Coursera version now as well, but the the 0:02:44.150 --> 0:02:47.269 YouTube version is quite good. I then worked at Apple 0:02:47.270 --> 0:02:50.780 in 2018 for a few years, starting off in a 0:02:50.780 --> 0:02:55.070 machine learning group there, and ended up building another product 0:02:55.070 --> 0:02:58.900 there in the security group, and I've been continuing on 0:02:58.900 --> 0:03:03.010 this path since like the middle of 22. I basically 0:03:03.010 --> 0:03:07.630 went full time into this. So, uh, I basically see 0:03:07.660 --> 0:03:11.620 two problems in the world, which is humans losing a 0:03:11.620 --> 0:03:15.250 sense of meaning and AI making that much, much worse. 0:03:15.250 --> 0:03:18.579 So what I'm essentially doing now is trying to help 0:03:18.610 --> 0:03:21.460 solve that. So the point of all this is not 0:03:21.460 --> 0:03:24.970 to say that I'm right about everything that I'm about 0:03:24.970 --> 0:03:27.520 to share, but rather that I've been thinking about it 0:03:27.520 --> 0:03:30.160 for quite some time. Um, another good thing to mention 0:03:30.160 --> 0:03:33.700 here is, uh, anything about predictions is like, it's, uh, 0:03:33.730 --> 0:03:36.850 you shouldn't really believe them because it's really hard to 0:03:36.850 --> 0:03:40.720 predict the future. Especially, yeah, when you're talking about a 0:03:40.720 --> 0:03:44.020 thing that hasn't happened yet. Um, so I'll talk with 0:03:44.020 --> 0:03:47.170 a decent amount of confidence here, but, um, it's really 0:03:47.170 --> 0:03:50.410 because if you hedge all the time, it's not really compelling. 0:03:50.410 --> 0:03:53.020 And I do add caveats a lot. So a couple 0:03:53.050 --> 0:03:55.920 of things I won't be talking about. I have other 0:03:55.920 --> 0:04:00.420 presentations on existential risk from AI, and lots to say 0:04:00.420 --> 0:04:05.580 about AGI and superintelligence specifically, as well as some thoughts 0:04:05.580 --> 0:04:08.340 on which countries might do what or whatever, but those 0:04:08.340 --> 0:04:10.170 are big topics on their own, so I won't be 0:04:10.170 --> 0:04:12.780 talking about those here. With that out of the way, 0:04:12.990 --> 0:04:15.780 I want to jump in. So what I want to 0:04:15.780 --> 0:04:22.080 talk about is, um, how I see AI affecting companies, uh, startups, 0:04:22.230 --> 0:04:29.490 the reduction of creative friction, hiring, broadcasting oneself, and an 0:04:29.490 --> 0:04:33.780 unfortunate separation between groups of people as a result of this. 0:04:33.810 --> 0:04:35.940 And for each of these, I'm going to start with 0:04:35.940 --> 0:04:39.690 an observation and then give a prediction. So the first 0:04:39.690 --> 0:04:43.650 major concept is a new way of thinking about companies. 0:04:43.650 --> 0:04:47.400 And I think AI is going to magnify this effect 0:04:47.400 --> 0:04:50.280 quite a bit. So one of the major uses of 0:04:50.279 --> 0:04:55.790 AI will be to optimize processes within businesses. And a 0:04:55.790 --> 0:05:00.260 company I would argue is really just components of action 0:05:00.260 --> 0:05:04.100 combined with process. So what's going to happen is consultancies 0:05:04.100 --> 0:05:06.800 are about to come in and basically turn your business 0:05:06.800 --> 0:05:09.799 into a diagram similar to like what you see over 0:05:09.800 --> 0:05:12.770 here on the right. And I've got a full posting 0:05:12.770 --> 0:05:15.680 on this which you can go read. It's called companies 0:05:15.680 --> 0:05:19.010 are just a graph of algorithms. And when a company 0:05:19.010 --> 0:05:22.040 does this, when they make your company visible to you 0:05:22.040 --> 0:05:25.670 in this way, AI thrives off of that, right? Once 0:05:25.700 --> 0:05:28.549 I can understand what your business can do, it can 0:05:28.550 --> 0:05:33.140 then start making some really powerful predictions. Um, and that's 0:05:33.140 --> 0:05:36.349 that's exactly what I think is going to happen. And really, 0:05:36.350 --> 0:05:42.080 really crazy stat here. 40% of McKinsey's business in 2024 0:05:42.110 --> 0:05:45.470 is already AI essentially doing this kind of thing. So 0:05:45.470 --> 0:05:48.380 the prediction here is that AI will find massive waste 0:05:48.380 --> 0:05:54.210 in most companies, middle management and bureaucracies will come under 0:05:54.210 --> 0:05:59.850 extreme pressure and companies will get smaller and far more efficient. 0:05:59.850 --> 0:06:02.970 And the good news is how this will affect startups 0:06:02.970 --> 0:06:05.850 and moving on to startups. A lot of people are 0:06:05.850 --> 0:06:09.420 talking about the concept of the first one person billion 0:06:09.450 --> 0:06:12.870 dollar company, which I think is a really crazy concept. 0:06:12.990 --> 0:06:15.240 Just as we saw the efficiency that you can get 0:06:15.240 --> 0:06:17.550 in a very large company, we're going to see that 0:06:17.550 --> 0:06:19.710 in tiny companies as well. In fact, it's going to 0:06:19.710 --> 0:06:22.380 be more magnified in tiny companies because you're not dealing 0:06:22.380 --> 0:06:27.570 with the the previous technical debt. So there will soon 0:06:27.600 --> 0:06:31.740 be many, many AI based services for doing every aspect 0:06:31.740 --> 0:06:35.310 of a business which will allow a single person to 0:06:35.339 --> 0:06:39.090 essentially launch the idea. The paperwork can be done, the 0:06:39.089 --> 0:06:43.140 customer service can be done, sales, marketing, analytics, optimization, all 0:06:43.140 --> 0:06:46.380 these different things can just be like AI services that 0:06:46.380 --> 0:06:49.880 they add on, and that's going to allow very small 0:06:49.880 --> 0:06:53.270 teams to do really powerful things. So that's the prediction 0:06:53.270 --> 0:06:57.890 here is the friction to creating a business falls dramatically. 0:06:57.890 --> 0:07:00.680 So there'll be a lot more 1 to 10 person 0:07:00.680 --> 0:07:03.920 companies that don't really have to grow larger than that. 0:07:03.920 --> 0:07:07.130 And I think the result of this is going to 0:07:07.130 --> 0:07:11.690 be an extraordinary multiplication of global productivity. Hard to know 0:07:11.690 --> 0:07:14.720 how much exactly that will be, but I think five 0:07:14.750 --> 0:07:17.900 X is probably safe in like the next ten years. 0:07:17.900 --> 0:07:20.450 So one of the most exciting things to me is 0:07:20.450 --> 0:07:24.350 the reduction of creative friction. So if you think about 0:07:24.380 --> 0:07:27.020 like how many Steven Spielberg's there are in the world 0:07:27.020 --> 0:07:31.250 right now, the number is tiny, right? Very, very few. 0:07:31.280 --> 0:07:36.980 But if you only factor in the combination of the 0:07:36.980 --> 0:07:40.760 genius with the fact that they're in LA and they 0:07:40.760 --> 0:07:43.250 know the people in Hollywood and they have access to 0:07:43.280 --> 0:07:46.270 all this money and they have access to all the connections. 0:07:46.270 --> 0:07:48.940 That's the reason the number is low. So the question 0:07:48.940 --> 0:07:51.430 is how many more Spielbergs are there on the entire 0:07:51.430 --> 0:07:55.210 planet with as good or better ideas who simply aren't 0:07:55.210 --> 0:07:57.910 in LA or don't have access to these resources? Or 0:07:57.910 --> 0:07:59.500 maybe they don't know how to draw, or they don't 0:07:59.500 --> 0:08:01.720 know how to write a script or something like that. 0:08:01.720 --> 0:08:04.270 And I think there's a lot of opportunity there. So 0:08:04.270 --> 0:08:07.600 what I see happening, starting very soon is basically an 0:08:07.600 --> 0:08:11.590 explosion of new Spielberg's. So I will be able to 0:08:11.590 --> 0:08:16.360 help the people with the ideas, but they have one 0:08:16.360 --> 0:08:20.140 or more bottlenecks. You know, maybe they're in sub-Saharan Africa, 0:08:20.170 --> 0:08:25.270 maybe they're in, you know, some apartment in Scotland, and 0:08:25.270 --> 0:08:27.580 they just don't have access to this stuff. And they 0:08:27.580 --> 0:08:31.060 didn't really get formally trained in these different skills. So 0:08:31.060 --> 0:08:35.470 we're talking about an explosion of books, film, poetry. Artists 0:08:35.470 --> 0:08:39.370 will just be able to talk to their AI and say, hey, 0:08:39.400 --> 0:08:42.280 you know, I have this thing, here's the story and 0:08:42.280 --> 0:08:45.569 go off into extreme detail about the story, and the 0:08:45.570 --> 0:08:48.600 AI is basically taking notes, and you combine that with 0:08:48.600 --> 0:08:52.440 the ability to generate art, the ability to generate video 0:08:52.470 --> 0:08:54.750 like we're seeing. And pretty soon the AI is going 0:08:54.780 --> 0:08:56.310 to be able to come back and say, oh, do 0:08:56.309 --> 0:08:59.070 you mean like this? And they're like, no, no, no 0:08:59.100 --> 0:09:02.010 more of this influence, more of that influence, and basically 0:09:02.010 --> 0:09:06.300 have this interactive conversation with an AI which results in 0:09:06.300 --> 0:09:08.460 an art output that I think is going to rival 0:09:08.490 --> 0:09:10.680 the best people in the world. And just imagine that 0:09:10.679 --> 0:09:13.650 for 8 billion people on the planet. So the next 0:09:13.650 --> 0:09:16.770 one here is hiring. I think hiring is going to 0:09:16.800 --> 0:09:20.130 change significantly. And there's a number of pitfalls here that 0:09:20.130 --> 0:09:22.110 we need to watch out for. But we've known for 0:09:22.110 --> 0:09:26.340 a long time that interviews are not super predictive of performance. 0:09:26.340 --> 0:09:30.360 So I think it's absolutely ripe for disruption. And what 0:09:30.360 --> 0:09:33.330 I see happening here, and I've already seen multiple companies 0:09:33.330 --> 0:09:36.870 working on this, is basically AI goes out and does 0:09:36.870 --> 0:09:41.100 full collection of everything about this person, this candidate, and 0:09:41.100 --> 0:09:43.510 it's basically looking at all their blog posts. It's looking 0:09:43.510 --> 0:09:47.650 at the papers that they've written, it's looking at their GitHub, 0:09:47.650 --> 0:09:51.010 it's looking at commentary, it's looking at basically anything they've 0:09:51.010 --> 0:09:54.280 put anywhere that's available to the eye, basically in public 0:09:54.280 --> 0:09:56.829 to read. And it's basically turning that into like a, 0:09:56.830 --> 0:10:00.520 a profile or a, a psychological profile or a work 0:10:00.520 --> 0:10:05.620 history profile. And then it can also do interviews with 0:10:05.620 --> 0:10:09.220 the person or will be able to very soon. So 0:10:09.250 --> 0:10:12.939 it first, it knows everything you've ever written online that's public. 0:10:12.940 --> 0:10:15.370 And then it can have a conversation with you about 0:10:15.370 --> 0:10:18.550 the pertinent skills of what that company is looking for. 0:10:18.550 --> 0:10:21.040 And it also is going to be doing ML magic 0:10:21.040 --> 0:10:23.410 to say, okay, here are the things we actually know 0:10:23.410 --> 0:10:27.309 that are predictive of success in this in this job. 0:10:27.640 --> 0:10:31.300 So this is going to be really powerful because it's 0:10:31.300 --> 0:10:34.720 then going to result in a score and a recommendation 0:10:34.720 --> 0:10:36.790 of like, yes, we should hire this person or yes 0:10:36.820 --> 0:10:39.730 or no, we shouldn't. Now one thing to mention here 0:10:39.730 --> 0:10:44.220 is that anytime you have ML involved and AI involved, 0:10:44.220 --> 0:10:46.710 it's a little bit scary to have a thumbs up 0:10:46.710 --> 0:10:49.709 or thumbs down or a score when you're not exactly 0:10:49.710 --> 0:10:53.760 sure what the criteria are. And we absolutely need to 0:10:53.760 --> 0:10:58.559 protect against bias in this case. Um, so transparent AI 0:10:58.590 --> 0:11:00.690 is going to really help here. The next thing I 0:11:00.690 --> 0:11:05.370 see happening is a surging requirement to be visible in 0:11:05.370 --> 0:11:08.250 the world, to be resilient in this in this world 0:11:08.250 --> 0:11:14.010 that's coming up. And authenticity essentially becomes signal. So ideas, 0:11:14.280 --> 0:11:18.000 ideas and personality become the things that people care about. 0:11:18.000 --> 0:11:20.790 And it becomes more important than medium. It becomes more 0:11:20.790 --> 0:11:23.939 important than, you know, being being on a TV show. 0:11:23.970 --> 0:11:27.120 As we're already seeing like CNN is not really competing 0:11:27.120 --> 0:11:31.350 with YouTube anymore. So ideas and personality become the things 0:11:31.350 --> 0:11:34.080 that people care about. And it's more important than medium, 0:11:34.080 --> 0:11:39.500 and it's becoming more important because the creator content is 0:11:39.500 --> 0:11:41.660 going to become more direct. It's going to be like 0:11:41.690 --> 0:11:45.050 an influencer, create something and it goes directly to the consumer, 0:11:45.050 --> 0:11:47.929 and they're not even really going to care what medium 0:11:47.929 --> 0:11:50.210 it was on. And that's going to be even more 0:11:50.210 --> 0:11:53.600 true when it's actually a person's eye that's going to 0:11:53.630 --> 0:11:56.720 collect the stuff and bring it back to the principle. 0:11:56.720 --> 0:12:00.170 So the prediction here is that I will work for 0:12:00.170 --> 0:12:04.069 people to find the best content for them to read. So, 0:12:04.070 --> 0:12:06.620 for example, my eye will be going out while I'm 0:12:06.620 --> 0:12:10.819 sleeping to collect the coolest new ideas, the coolest new stories, 0:12:10.820 --> 0:12:15.050 the coolest new opinions. And in order to find those 0:12:15.230 --> 0:12:19.490 for a given person like, say, somebody who's listening to this, 0:12:19.490 --> 0:12:21.740 you will have had to have put that out there. 0:12:21.740 --> 0:12:24.410 So you have to get your ideas out there into 0:12:24.410 --> 0:12:27.980 the world. So basically, if you're not visible, you're vulnerable. 0:12:27.980 --> 0:12:31.490 And this brings me to something I'm quite concerned with 0:12:31.490 --> 0:12:34.730 about AI, which is we already have a major divide 0:12:34.730 --> 0:12:39.400 in terms of like overall success in life around being 0:12:39.400 --> 0:12:43.270 a voracious reader or not. And there's there's a decent 0:12:43.270 --> 0:12:46.300 amount of data on this which I don't have here, 0:12:46.300 --> 0:12:50.980 but I can include later. But essentially there's lots of 0:12:50.980 --> 0:12:54.160 anecdote anecdote around this as well. So Charlie Munger has 0:12:54.160 --> 0:12:56.770 this great quote. In my whole life I have known 0:12:56.770 --> 0:13:00.550 no wise people who didn't read all the time, none, zero. 0:13:00.550 --> 0:13:04.329 And I think that really resonates. I think it's a 0:13:04.330 --> 0:13:07.209 powerful concept, and I'm worried that AI is going to 0:13:07.210 --> 0:13:11.320 be a massive magnifier of this. It's going to be 0:13:11.320 --> 0:13:14.950 just like reading, but much, much worse. And here's the problem. 0:13:14.950 --> 0:13:18.100 The the problem is we're basically going to have two groups, right? 0:13:18.130 --> 0:13:23.319 One group that has say, 10,000 AI assistants working for them. 0:13:23.320 --> 0:13:26.890 So they learn the AI, they learn the programming, they 0:13:26.890 --> 0:13:30.100 deep dive into this whole world, and they hire all 0:13:30.100 --> 0:13:33.490 these very, very cheap AIS to do all these different 0:13:33.490 --> 0:13:37.910 things for them. So they're constantly modifying their their finances. 0:13:37.910 --> 0:13:41.239 They're constantly finding better books. They're constantly summarizing books for 0:13:41.240 --> 0:13:46.010 them and basically turning this person that they're working for into, 0:13:46.040 --> 0:13:49.550 like a super knowledgeable, like almost like a superhuman brain. 0:13:49.550 --> 0:13:52.580 And some top percentage of the world is going to 0:13:52.610 --> 0:13:56.570 function in this way, whether that's 1% or 5% or 10%, 0:13:56.600 --> 0:13:59.510 whatever you want to call that. But another group is 0:13:59.510 --> 0:14:02.510 going to essentially use it to find entertainment, or they're 0:14:02.510 --> 0:14:08.000 going to be influenced by, uh, potentially malicious actors through 0:14:08.000 --> 0:14:10.189 that medium, but they're not going to be doing this 0:14:10.190 --> 0:14:12.710 thing that the first group is doing, and this is 0:14:12.710 --> 0:14:16.970 going to separate groups more than ever. So with that, 0:14:16.970 --> 0:14:19.220 I want to talk about what I think we can 0:14:19.220 --> 0:14:23.540 do to make ourselves resilient to this. So I want 0:14:23.570 --> 0:14:26.720 to talk about a concept called human 3.0. And my 0:14:26.720 --> 0:14:31.340 first recommendation here is that you essentially want to combine 0:14:31.340 --> 0:14:35.590 all this together to understand your full authentic self, to 0:14:35.620 --> 0:14:37.900 know what you want and to share it with the world. 0:14:37.930 --> 0:14:40.840 We used to essentially be our resumes or we kind 0:14:40.870 --> 0:14:43.450 of still are now. I consider what we're in now 0:14:43.480 --> 0:14:46.420 to be human 2.0, where the value of your you 0:14:46.420 --> 0:14:48.280 as a human is what you can put in a 0:14:48.280 --> 0:14:51.550 CV or a resume. And I think the value of 0:14:51.550 --> 0:14:56.020 this human 3.0 concept is that you are your full 0:14:56.020 --> 0:15:00.640 spectrum self. You know, your your authenticity. Your personality is 0:15:00.640 --> 0:15:03.160 now not a thing that you never include in your CV. 0:15:03.190 --> 0:15:05.380 It's now the thing that is able to cut through 0:15:05.380 --> 0:15:07.180 and make people want to listen. So if you don't 0:15:07.180 --> 0:15:10.870 broadcast your full self, you won't be able to differentiate. 0:15:10.870 --> 0:15:14.350 And this starts with knowing really who you are. What 0:15:14.350 --> 0:15:17.440 is your mission? What are your goals? Really, really importantly, 0:15:17.440 --> 0:15:19.690 what do you think are the most important problems in 0:15:19.690 --> 0:15:22.090 the world and what are your metrics? How do you 0:15:22.090 --> 0:15:24.280 know if you're doing well as a as a person 0:15:24.280 --> 0:15:27.340 or not? And if you can't define yourself in this way, 0:15:27.340 --> 0:15:30.400 you're going to be more replaceable from I. So the 0:15:30.420 --> 0:15:33.750 next piece of this is getting in the habit. And 0:15:33.750 --> 0:15:36.750 this goes back to the the broadcasting of self. This 0:15:36.750 --> 0:15:38.580 is essentially how you do it. You got to get 0:15:38.580 --> 0:15:41.970 in the habit of being able to articulate yourself clearly. 0:15:41.970 --> 0:15:44.700 So one way to think about this is a great 0:15:44.700 --> 0:15:47.550 quote that I found from Paul Graham, but it's actually 0:15:47.550 --> 0:15:53.010 from Leslie Lamport. If you think without writing, you only 0:15:53.010 --> 0:15:56.460 think you're thinking. If you're thinking without writing, you only 0:15:56.460 --> 0:16:00.000 think that you're thinking, I really, really love this. And 0:16:00.000 --> 0:16:04.020 it essentially the way I encapsulate this is you've got 0:16:04.020 --> 0:16:08.610 to get good at thinking, writing and presenting. Um, because 0:16:08.610 --> 0:16:11.970 it's no longer for special people, for authors, this is 0:16:11.970 --> 0:16:13.950 the only way that you're going to be able to 0:16:13.980 --> 0:16:18.000 become visible and stay visible to the world, especially when 0:16:18.030 --> 0:16:21.420 I is the one crawling and looking for signal and content. 0:16:21.420 --> 0:16:24.330 So you've got to get really good at articulating what 0:16:24.330 --> 0:16:26.940 you're about, what you're working on, and why you're working 0:16:26.940 --> 0:16:30.230 on those things. And these are the primary skills that 0:16:30.230 --> 0:16:33.500 I recommend that you cultivate. So this is really an 0:16:33.500 --> 0:16:37.310 encapsulation of the whole thing. It's clear articulation of self. 0:16:37.310 --> 0:16:42.230 It's being insatiably curious. This is another big thing that 0:16:42.230 --> 0:16:45.170 Charlie Munger talks about. And that's the reason he reads 0:16:45.170 --> 0:16:49.580 so much. It's continuous learning, deep integration of AI to 0:16:49.610 --> 0:16:54.170 accelerate that learning, discipline and passion towards chasing your curiosity, 0:16:54.200 --> 0:16:58.850 focusing on useful work, and staying focused on the problems 0:16:58.850 --> 0:17:02.240 that you're solving, and using those problems as your your 0:17:02.270 --> 0:17:06.950 guiding light. And in terms of practical skills being good 0:17:06.950 --> 0:17:09.139 at programming, you don't have to be an expert programmer. 0:17:09.140 --> 0:17:11.270 You just have to know the concepts and be able 0:17:11.270 --> 0:17:15.470 to interact with AI, because AI does a lot of programming. Uh, 0:17:15.470 --> 0:17:17.119 but you still have to be able to tell it 0:17:17.119 --> 0:17:19.850 and understand the concepts. So I would say programming is 0:17:19.850 --> 0:17:23.660 important AI tool integration. You want to learn AI and 0:17:23.660 --> 0:17:27.750 most importantly, thinking, writing and presenting and all those really 0:17:27.750 --> 0:17:32.669 are writing and presenting really are just ways to ensure 0:17:32.670 --> 0:17:36.869 that your thinking is clear. And so bringing it all together, 0:17:36.869 --> 0:17:41.310 this is what I recommend we do tactically and immediately. 0:17:41.310 --> 0:17:46.350 So that's capturing yourself in terms of purpose, goals, metrics, mission, 0:17:46.350 --> 0:17:51.000 that sort of thing. Get really good at explaining your 0:17:51.000 --> 0:17:54.420 encapsulation of that to other people. So that's writing, speaking, 0:17:54.420 --> 0:17:56.940 presenting that sort of thing. Learn to program and learn 0:17:56.940 --> 0:18:00.300 to use. I probably read 2 to 4 hours a day. 0:18:00.330 --> 0:18:05.100 High quality content. Build your presence online. So get your 0:18:05.220 --> 0:18:09.300 website going. Essentially talk about it doesn't matter. A lot 0:18:09.300 --> 0:18:11.370 of people say, look, I have nothing to say because 0:18:11.369 --> 0:18:14.340 I'm still learning. Be visible, learn in public. And that 0:18:14.340 --> 0:18:16.290 will allow you to do the next piece, which is 0:18:16.290 --> 0:18:18.840 to connect with others who are doing the same. Because 0:18:18.840 --> 0:18:21.210 you can have ten different people who are talking about 0:18:21.210 --> 0:18:24.060 the same stuff, but if they are being their full selves, 0:18:24.060 --> 0:18:27.380 those ten people will look and sound very different and 0:18:27.380 --> 0:18:31.100 they will find different audiences. And most importantly, you want 0:18:31.130 --> 0:18:34.760 to do this authentically as your full self and share 0:18:34.760 --> 0:18:36.770 this with the world. Thanks for your time. 0:18:36.770 --> 0:18:39.800 Well, thank you so much, Daniel. That was incredibly profound 0:18:39.800 --> 0:18:43.280 and a lot deeper than I was expecting, which was amazing. Yeah, 0:18:43.310 --> 0:18:45.140 I have a few questions myself, but I think I'll 0:18:45.140 --> 0:18:48.379 start by handing it over to my colleague Daniel, who 0:18:48.380 --> 0:18:52.880 is Wipo's information security engineer. And yeah, he will cover 0:18:52.880 --> 0:18:56.840 some questions that were pre-submitted from yeah, people who initially 0:18:56.840 --> 0:18:59.540 registered for this talk. So Daniel Jeremiah, the talk is 0:18:59.540 --> 0:19:01.909 now yours. Sorry. The floor is now yours. 0:19:02.000 --> 0:19:05.600 All right. Thank you so much for the eye opening presentation. 0:19:05.600 --> 0:19:07.730 I don't know about you, Olivia, but I know what 0:19:07.730 --> 0:19:10.010 I'm going to be busy with for the next couple 0:19:10.040 --> 0:19:10.610 of years. 0:19:11.840 --> 0:19:12.530 Yeah. 0:19:13.100 --> 0:19:16.040 We have received many, many questions. Colleagues, thank you for 0:19:16.040 --> 0:19:19.250 your interest. And I believe that several of them could 0:19:19.250 --> 0:19:22.219 probably be grouped under different headings, different buckets related to 0:19:22.660 --> 0:19:27.159 I and our jobs. The integration at Waco and to 0:19:27.160 --> 0:19:30.490 what level we can trust. I. So here's the first one. 0:19:31.060 --> 0:19:33.970 Will I replace human labor in the near future? 0:19:34.000 --> 0:19:38.890 Yeah. Um, I think there's a couple of interesting, um, 0:19:38.890 --> 0:19:42.610 caveats or sort of pivot points inside of the question. Uh, 0:19:42.609 --> 0:19:46.990 replace implies a one or a zero that it's just yes, 0:19:46.990 --> 0:19:49.810 it's replaced or no, it's not replaced. That's going to 0:19:49.810 --> 0:19:53.350 be gradual. And when near future is also like that 0:19:53.350 --> 0:19:55.750 as well. It's like that. What does that mean. Does 0:19:55.750 --> 0:19:59.080 it mean one year? Does it mean three years? The 0:19:59.080 --> 0:20:01.630 the way I would answer that is to say that 0:20:02.050 --> 0:20:05.980 will AI replace human jobs? The answer is yes. The 0:20:05.980 --> 0:20:08.800 question is how much and how quickly and what types 0:20:08.800 --> 0:20:13.480 of jobs. And I would say that in general, what 0:20:13.480 --> 0:20:15.669 it's going to replace first is things that can be 0:20:15.670 --> 0:20:21.180 done easily that don't have human authenticity and human Uniqueness 0:20:21.210 --> 0:20:24.270 inside of the work. And this is why this whole 0:20:24.270 --> 0:20:28.380 presentation is oriented around getting that into what you do, 0:20:28.410 --> 0:20:32.310 so that it is harder to replace. So I think 0:20:32.310 --> 0:20:34.980 there are millions of jobs that will be replaced in 0:20:34.980 --> 0:20:38.760 the next 5 to 10 years and many, many more 0:20:39.030 --> 0:20:42.060 over the course of ten years versus five. The good 0:20:42.060 --> 0:20:44.730 news is it's also going as we talked about in 0:20:44.730 --> 0:20:49.080 the presentation. It's also going to create lots more jobs. 0:20:49.109 --> 0:20:52.530 In fact, I believe that it's going to kind of 0:20:52.560 --> 0:20:56.730 shut down the human 2.0 economy where we're basically doing 0:20:56.730 --> 0:21:00.150 raw tasks. And it's going to move us towards this 0:21:00.150 --> 0:21:04.470 human 3.0 economy, which is more human to human interaction. 0:21:04.500 --> 0:21:07.800 So the answer is yes, it will replace a lot 0:21:07.800 --> 0:21:10.290 of jobs, but I don't think that's all bad news. 0:21:10.320 --> 0:21:12.450 Well, let's hope for the enhancement of the. 0:21:12.480 --> 0:21:13.290 Yes. 0:21:13.859 --> 0:21:18.090 Thanks. All right. Thank you. The next one would be, uh, 0:21:18.090 --> 0:21:21.790 if you have any advice, what advice would you have 0:21:21.820 --> 0:21:25.810 for Ypo other organizations looking to go looking to integrate 0:21:25.810 --> 0:21:28.600 AI in our current work? Because we know, you know, 0:21:28.630 --> 0:21:33.340 we have several initiatives and ideas and explorations, but actually 0:21:33.340 --> 0:21:36.850 the the substance of the work is not yet touched. Yes. 0:21:37.210 --> 0:21:40.780 Yeah. So really good question. I think the answer is 0:21:40.780 --> 0:21:43.840 to do what I was talking about. The AI consultancies 0:21:43.840 --> 0:21:46.600 are going to do to your company. So you essentially 0:21:46.600 --> 0:21:50.770 want to go to a very large whiteboard and write, 0:21:50.830 --> 0:21:54.190 document your company, capture it as a giant graph, and 0:21:54.190 --> 0:21:57.399 break out every single little piece. Okay. The customer sends 0:21:57.400 --> 0:22:01.629 this thing in it does this following thing is done 0:22:01.630 --> 0:22:05.500 with Sarah's team that sends over to Chris's team. And 0:22:05.500 --> 0:22:07.570 here's what the teams look like. And here's exactly what 0:22:07.570 --> 0:22:09.790 they do. And here's how many people are doing that. 0:22:09.820 --> 0:22:13.210 You basically want to break that out and understand your 0:22:13.210 --> 0:22:17.610 business perfectly the way that it is today before I. 0:22:17.609 --> 0:22:20.879 And then you want to say, okay, now what parts 0:22:20.880 --> 0:22:23.699 of this look inefficient? What parts of this should we 0:22:23.730 --> 0:22:26.310 not be doing at all? That's the first question I 0:22:26.340 --> 0:22:29.070 is going to ask is what can we cut? What 0:22:29.070 --> 0:22:32.340 are the extra layers. So you want to think of 0:22:32.340 --> 0:22:37.619 the I as basically just a very harsh lens that's 0:22:37.619 --> 0:22:39.750 going to look at everything you're doing. So the very 0:22:39.750 --> 0:22:43.170 first step is understanding exactly what you are doing. And 0:22:43.170 --> 0:22:45.330 that's going to make it clear where you should apply. 0:22:45.359 --> 0:22:50.070 I think it's uh, well it's concerning, but a lot 0:22:50.070 --> 0:22:53.760 of challenges ahead. Yeah. Um, so, so the for the 0:22:53.760 --> 0:22:57.300 next we have a package is, uh, regarding the security. Well, 0:22:57.300 --> 0:23:00.240 it's close to hard. To what level can we trust AI? 0:23:00.240 --> 0:23:03.840 Is cybersecurity really possible in the face of artificial intelligence? 0:23:03.840 --> 0:23:06.570 And mainly for me at least, how do we ensure 0:23:06.570 --> 0:23:09.270 that the information we receive has come from a good source? 0:23:09.300 --> 0:23:12.690 And how can we best validate that information? 0:23:12.720 --> 0:23:16.970 Yeah, it's a great, great question. I am not too 0:23:16.970 --> 0:23:21.139 concerned about it, actually. Not because I trust the raw 0:23:21.140 --> 0:23:24.139 content coming out of an LLM that is not a 0:23:24.140 --> 0:23:27.530 good idea, but essentially what's going to happen and is 0:23:27.530 --> 0:23:32.330 already happening is that content being created from an AI 0:23:32.480 --> 0:23:35.899 will go through a pipeline of steps depending on the 0:23:35.900 --> 0:23:39.439 importance of the task. So if the task is to 0:23:39.470 --> 0:23:43.280 say no, you do not have this disease. That is 0:23:43.280 --> 0:23:46.879 such a powerful thing to say. It must be checked 0:23:46.880 --> 0:23:49.159 in multiple places. So what you're going to have is 0:23:49.160 --> 0:23:52.220 you're going to have multiple little eyes which are doing 0:23:52.250 --> 0:23:55.159 fact checking. So they're going to be checking Google. They're 0:23:55.160 --> 0:23:58.700 going to be checking official medicine publications. It's going to 0:23:58.700 --> 0:24:02.360 be maybe consulting with a human expert for a final check. 0:24:02.359 --> 0:24:07.100 But imagine a a result coming out of an AI 0:24:07.130 --> 0:24:11.300 being evaluated by 15 other AIS. And they all have 0:24:11.300 --> 0:24:13.659 to have a green check mark before the answer is 0:24:13.660 --> 0:24:16.419 actually returned to the user. So I don't think we 0:24:16.420 --> 0:24:19.270 have to worry about a world in which we just 0:24:19.270 --> 0:24:22.719 randomly trust. I think that might happen for something that 0:24:22.720 --> 0:24:25.870 doesn't matter. Like tell me a funny joke, but it 0:24:25.869 --> 0:24:29.890 won't necessarily it won't happen for the things that really matter. Like, 0:24:29.920 --> 0:24:34.630 should we turn on this, um, nuclear control system or 0:24:34.630 --> 0:24:37.000 should we turn it off? Should we raise the firewall, 0:24:37.000 --> 0:24:39.129 lower the firewall? Those sorts of things are going to 0:24:39.130 --> 0:24:41.320 have lots of extra scrutiny added on. 0:24:41.350 --> 0:24:44.950 Right. So that's that's the most interesting application of democracy 0:24:44.950 --> 0:24:48.970 I heard recently if if we have agents voting on 0:24:48.970 --> 0:24:50.080 the answers, that's, uh. 0:24:50.950 --> 0:24:55.120 Yes, absolutely. And different kinds. This is really important. You'll 0:24:55.119 --> 0:24:57.370 have someone who's like an academic, and they have this 0:24:57.369 --> 0:25:00.369 one type of scrutiny, and you can have this other 0:25:00.640 --> 0:25:03.580 industry expert kind of type of scrutiny, but they can 0:25:03.580 --> 0:25:06.070 have different backgrounds, but all of them must say yes 0:25:06.070 --> 0:25:08.230 for this kid to get an actual s o. 0:25:08.230 --> 0:25:11.230 Great. So thank you very much. I believe that's that's 0:25:11.230 --> 0:25:12.050 all I have. 0:25:12.619 --> 0:25:13.159 Uh. 0:25:13.340 --> 0:25:15.919 Thank you. It's. It was amazing. And a lot of 0:25:15.920 --> 0:25:18.680 lessons for me, and I hope for for our colleagues. 0:25:18.680 --> 0:25:21.350 So I will hand back to, to Olivia to to 0:25:21.380 --> 0:25:22.760 wrap up. Thank you. 0:25:22.940 --> 0:25:26.720 Perfect. Thanks. Um, also, maybe Daniel. Do. Daniel, do you 0:25:26.720 --> 0:25:28.760 have any questions from your side? Because I've got 1 0:25:28.760 --> 0:25:30.080 or 2 I'd like to ask. I think we have 0:25:30.080 --> 0:25:31.250 a few more minutes. So. 0:25:31.820 --> 0:25:32.690 Uh, so. 0:25:32.720 --> 0:25:36.140 My questions were, you know, security and this thing of 0:25:36.140 --> 0:25:41.990 trustworthiness and, uh, explainability, but I think I have my answers, so. 0:25:41.990 --> 0:25:42.950 So I believe I'm good. 0:25:43.340 --> 0:25:45.859 Okay, perfect. I have a quick question about what you mentioned, 0:25:45.859 --> 0:25:49.070 about how personalities and ideas are most important and that 0:25:49.070 --> 0:25:52.670 we should be online. But what about AI influencers? What 0:25:52.670 --> 0:25:53.780 are your thoughts on those? 0:25:53.810 --> 0:25:57.859 Yeah, it's, uh, it depends how good they get. Uh, 0:25:57.859 --> 0:26:01.850 if they get really, really good, um, and they're allowed 0:26:01.850 --> 0:26:04.610 to continue, uh, because it could be that, um, some 0:26:04.609 --> 0:26:08.960 governments decide that they're too good and they're disrupting human 0:26:08.980 --> 0:26:12.610 capabilities to actually be creative. At which point they could 0:26:12.609 --> 0:26:15.220 be shut down. But if they are not shut down 0:26:15.220 --> 0:26:18.639 and they are really, really good, the bad news there 0:26:18.640 --> 0:26:22.000 is that they might quickly become much, much better than 0:26:22.000 --> 0:26:26.050 any human like. They'll just be more attractive. They will 0:26:26.050 --> 0:26:29.650 speak more attractively. The ideas will be better, they will 0:26:29.680 --> 0:26:34.419 be funnier. And it's like the human creators, first of all, 0:26:34.420 --> 0:26:37.720 they have to sleep so they won't be creating as much, 0:26:37.720 --> 0:26:40.389 and they might move down in the rankings. And the 0:26:40.390 --> 0:26:43.990 most popular influencers and the most popular shows and everything. 0:26:44.020 --> 0:26:46.930 It might be all I created. I do believe that 0:26:46.930 --> 0:26:50.409 that is the type of thing. It's like the last. 0:26:50.650 --> 0:26:53.740 It's the last stand for humanity is to be this 0:26:53.740 --> 0:26:57.700 creative thing. And if if they take that away, I'm 0:26:57.700 --> 0:27:00.790 not sure what else we have. So I could honestly 0:27:00.790 --> 0:27:05.679 see that being the place that regulation happens to say 0:27:05.680 --> 0:27:10.230 we these must be validated humans to be creators. 0:27:10.770 --> 0:27:15.419 Well, yeah. It's interesting. That's a scary thought. Um, and also, yeah, 0:27:15.450 --> 0:27:18.510 on the line of being out there and being visible online, 0:27:18.510 --> 0:27:20.760 what are your thoughts when it comes to data privacy risks? 0:27:20.760 --> 0:27:23.250 For example, if I put all this information of me 0:27:23.250 --> 0:27:25.410 out there and cybersecurity risks as well. 0:27:25.500 --> 0:27:30.930 Yeah, it's a great question. I believe the answer is 0:27:30.960 --> 0:27:38.370 it won't matter that much. Uh, unfortunately or fortunately, I think, um, 0:27:38.460 --> 0:27:40.740 the way this is going to move is people are 0:27:40.740 --> 0:27:43.680 going to give so much data to their AI, their 0:27:43.680 --> 0:27:48.840 personal AI. And because those are largely startup companies, they're 0:27:48.840 --> 0:27:51.690 all going to get hacked. Um, so these startup companies 0:27:51.690 --> 0:27:54.180 are going to get hacked. And rather than just having 0:27:54.180 --> 0:27:58.830 your financial information, it's going to be essentially like your soul. 0:27:58.830 --> 0:28:01.710 It's going to be like, I had these traumatic experiences. 0:28:01.710 --> 0:28:05.100 Here are all my relationships. It's going to know all 0:28:05.100 --> 0:28:07.609 your health data. When that gets hacked, it's going to 0:28:07.609 --> 0:28:13.040 be unbelievably traumatic. But watch this only for the first 0:28:13.040 --> 0:28:16.820 few people, only for the first year or two, because 0:28:16.850 --> 0:28:22.070 we're not used to having that level of personal exposure online. 0:28:22.070 --> 0:28:26.359 But soon we will. And then we're just going to 0:28:26.359 --> 0:28:29.360 know that we're all the same. We're all equally flawed. 0:28:29.359 --> 0:28:33.470 We all have these equally weird things about us. And 0:28:33.500 --> 0:28:36.109 there's one possible way for it to go is that 0:28:36.109 --> 0:28:41.150 it just becomes so, uh, regular for this to happen, 0:28:41.180 --> 0:28:45.050 that it becomes the new baseline and nobody cares. Yeah. 0:28:45.320 --> 0:28:47.990 Well, so, yeah, if everything's out there for everyone to see, 0:28:48.020 --> 0:28:50.300 then they can't use it as a weapon. That makes sense. 0:28:50.540 --> 0:28:51.410 Exactly. 0:28:51.890 --> 0:28:55.160 Okay, well, that was it from my side. Um, thank 0:28:55.190 --> 0:28:58.490 you very much, Daniel. This was fantastic. And thank you 0:28:58.490 --> 0:29:02.630 for your time today. Um, to everyone watching, we do 0:29:02.630 --> 0:29:05.310 have an AI at Ypo Viper Teams channel. So if 0:29:05.310 --> 0:29:08.580 you'd like to join the community, please do so. Um, yeah. 0:29:08.610 --> 0:29:11.100 You can find out about upcoming AI repo sessions and 0:29:11.130 --> 0:29:13.680 other un AI events there, as well as well as 0:29:13.680 --> 0:29:17.640 industry news, and you can join general AI discussions. And 0:29:17.640 --> 0:29:20.280 please feel free to reach out or consult the AI 0:29:20.430 --> 0:29:23.610 repo intranet page if you'd like to learn more. So 0:29:23.610 --> 0:29:26.700 thank you again, Daniel Mazia. Thank you Daniel Jeremiah and 0:29:26.700 --> 0:29:27.930 have a good day everyone. 0:29:29.490 --> 0:29:32.670 Unsupervised learning is produced and edited by Daniel Miessler on 0:29:32.700 --> 0:29:37.260 a Neumann U87 AI microphone using Hindenburg. Intro and outro 0:29:37.290 --> 0:29:40.620 music is by zombie with a Y. And to get 0:29:40.620 --> 0:29:42.690 the text and links from this episode, sign up for 0:29:42.690 --> 0:29:45.630 the newsletter version of the show at Daniel Missler Comm 0:29:45.690 --> 0:29:49.230 Slash newsletter. We'll see you next time.