 A century ago or like 20 years ago you have one sensor for like air quality and it just says okay in Hong Kong It's bad done. I mean and then you guess why and You can change the the thing to like making I know 100,000 sensors and then you understand okay It's just because of this this and this and we can actually solve the issue by just replacing this factory to like East Coast From West Coast and you can actually make it better and as soon as the data is like it's coming from multiple sources Thousands of millions of sensors you need to analyze it not with humans I mean if you ended like with a woman so reading the printouts From the sensors, it's like not held and that's why you need a machine learning What people name AI but the eye is like is probably for like science fiction cinema and All the rest guys they name it machine learning because they like truck like the tune computers to understand what the fuck is going on To be honest, I don't think it necessarily has I think you know blockchain is still in its somewhat infancy stages and AI for sure is AI still has a lot of room for growth and development And to be honest that you really have to quantify, you know, what is AI first of all? I mean, you know artificial intelligence isn't just necessarily robots going out and doing you know everyday tasks and it can be as simple as the You know Amazon Alexa or it can be as complicated as you know deep-length NLP in natural language processing Of you know news sites in Chinese. We have a company called China scope that I'm friends with the CEO Tom Yo and they do NLP there the first ones to do NLP in China to decipher You know, how can you actually as an at a machine learning deep learning level? How can you read Chinese characters because it's totally different from your English letters? So blockchain is one I guess element of AI, but to be honest, there's still we're still the very very very infancy status to be completely completely honest Yeah, so I probably I'd look at AI and blockchain from from two different angles, so the first one is that Web 2 has led to a series of kind of platform monopolies And because of the sheer data that Facebook or a Google or an Amazon have Or the kind of bats in in Asia They have Data monopoly and therefore they have an AI monopoly and so the current status quo of the world is that we're reliant upon Increasingly fewer organizations for more of our lives And that's only going to get that's only going to increase as we're moving into a world with more autonomous Autonomous vehicles or whatever it may be so That status quo is an existential threat You know if we end up and it's going to be very difficult for us to catch up or for startups or new entrants to catch up With with those AI monopolies now the promise of something like blockchain and distributed ledger technologies in combination with AI means that Firstly we can have a data commons, so we can have Self-sovereign ownership of our own personal data and we can choose how that's used what Organizations can use that data and for what purpose and then We can begin to look at how we can tokenize the ownership of the AI's potentially that derive value on top and so I kind of argue that We need decentralized AI. We need decentralized data markets If we are to kind of move away from this dystopic future that we're kind of currently on the trajectory of So it's kind of fortuitous that this is happening at this time And I always argue that I think if you if you understand all this stuff as web 3 The promise of web 3 is that we can go back to the original vision of web 1 Which was as a commons and internet commons that wasn't monopolized by a handful of global corporations, so so that's kind of The promise when you look at AI more generally and you think about job lot is and this kind of stuff Obviously, there's kind of different different ways of looking at it And it's difficult to say which way it's going to go the reality is that the characteristics of web 3 are Firstly decentralization the second one is automation high degrees of automation and leading to the point of autonomy And obviously DAOs and all that stuff are an example of how far that could go But but ultimately the way that I look at the potential for AI is really to augment What we do is people and so yes, there are going to be There are going to be some jobs that become obsolete and I think Perhaps if you look at the negative end of that scale the kind of whole gig economy has turned jobs into tasks Tasks are much easier to automate And so potentially we're seeing a shift where Jobs are turned to tasks tasks are automated and again one of the worrying trends with a gig economy is that The companies that employ these people well, they don't employ them, right? So they don't have pensions. They don't need pension contributions. They don't insure them So that's kind of a social economic time bomb if you think about large swaths of the population No longer having a safety net For jobs that are currently tasks that ultimately going to be automated if you look at uber Well, it's very clear that they and that their end state is to have driverless taxis So if you're an uber driver, you know, what's the shelf life of this new job that you've got where you've got no pension contributions so I think the these are the cut that that's the threat of the web 2 environment, but again I think that the potential and power for web 3 is that I think the Organizational form or structure that's going to happen with web 3 It's going to be something more akin to a cooperative model. So whereby We have very kind of fluid labor markets very fluid capital markets But people on an ad hoc or on a permanent basis can self-organize And they can lend to one another they can insure one another and they can mutualize assets And that could be mutualizing AI it can be mutualizing fleets of autonomous vehicles, so I think probably the only hope that we've got of Moving away from the trajectory or on of web 2 is coming back to this key point, which is decentralization mutualization of ownership tokenization of the value of that and then the fractionalization of it and the Fractionalization of its key because what that means is that? Anybody anywhere in the world can join this new economic paradigm with you know one penny one cent one euro They can become a stakeholder in it But I do think we now need We need to focus more on creating what I call the people layer in the web 3 stacks at the moment It's all very tech focused. How can we create? Coders law, how can we create totally autonomous organizations that aren't companies? I think we now need to make sure that we build in the people layer in this web 3 stack before it's too late