Founders and Futurists

Joshua Schoen
Founders and Futurists

Conversations with leading technologists, Venture Capitalists, specialists, and game-changing companies. workingitwithai.substack.com

Episodes

  1. 27/06/2024

    Podcast #5 Intersecting Generative AI and Law with Mark Lemley, Stanford Professor of Law and Technology

    1. 🚀 Dive into the future of AI with Mark Lemley, Stanford Law Professor! Discover his insights on copyright, fair use, and the legal landscape of generative AI. Don't miss it! 🎓🎙️ #AI #Law #Technology Mark Lemley is the William H. Newcomb Professor of Law at Stanford Law School and Director of the Stanford Program in Law, Science, and Technology. Mark Lemley is a distinguished authority in intellectual property, antitrust, and related areas of law. Mark Lemley's credentials speak for themselves. He has shaped legal thought in multiple domains as a prolific author of 11 books and 218 articles. Among his accolades, he has nine of the most-cited law review articles of the last 20 years and was recognized as the third most-cited legal scholar globally from 2016 to 2020. His extensive experience includes active participation in over three dozen Supreme Court cases and a diverse client base, ranging from tech giants like Genentech to unique groups like Dykes on Bikes and generative AI companies. We kick off with a fundamental question: What constitutes copyright infringement? Mark explains that the basics of copyright revolve around the ease of obtaining protection and the critical act of copying. He then addresses how Generative AI presents novel legal conundrums, particularly regarding the legality of training on vast datasets of copyrighted works. Lemley elucidates that these datasets are essential for teaching AI systems about language and concepts, often involving temporary copying. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit workingitwithai.substack.com

    24 min
  2. Podcast #3 What's is Hype in LegalTech with Horace Wu of Syntheia

    10/06/2024

    Podcast #3 What's is Hype in LegalTech with Horace Wu of Syntheia

    This week, we interview Horace Wu, CEO of Synthiea, a Contract Analytics platform that helps large law firms make sense of their data and improve their work. Horace is one of the top applied legal technologists, and we explore what GenAI can do and what it can’t. Thanks for listening to Venturing in Work AI! Subscribe for free to receive new posts and content at the forefront of AI revolution. Horace's Transition from Law to Tech [00:01:00] Horace Wu shares his journey from transactional lawyer to founder of a technology company. He describes his experiences with his initial consumer tech venture and the challenges faced when major companies like Facebook and Google launched similar features. Discovery of Language Models [00:04:00] - Wu talks about his discovery of language models in 2017 and his transition to legal tech. He elaborates on how he got involved with a German NLP company and subsequently founded a legal tech firm. Synthia's Unique Approach [00:06:00] - Horace outlines what makes Synthia unique in the legal tech space, focusing on boosting a lawyer's knowledge through past documented experiences and creating a reliable database of provisions. Detailed Workflow and Data Utilization [00:09:00] - Wu explains Synthia’s complex data handling through a four-tiered pyramid model consisting of expertise, matters, documents, and provisions. He details how data is structured and utilized across these layers. Enhancing Lawyer's Efficiency and Knowledge [00:12:00] - The discussion focuses on improving lawyers' efficiency by structuring and querying information. Wu illustrates how Cynthia manages to make data actionable and relevant. Preparing for Legal Tech Innovations [00:17:00] - Wu advises on what law firms need to consider technologically and commercially to prepare for implementing AI and data-driven technologies. Legal Tech and AI Landscape [00:20:00] - In closing, Horace provides his insights on the current and future state of legal tech and AI, focusing on the application of generative AI and its impacts on the legal industry. t. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit workingitwithai.substack.com

    23 min
  3. Interview with MyCompanions.ai CEO Maggie Sin

    28/05/2024

    Interview with MyCompanions.ai CEO Maggie Sin

    While it is a little outside my traditional purview, I was excited to speak with Maggie Sin, the CEO of MyCompanions.ai, a creator platform that allows creators to communicate with their fans in their voice using AI. Given the recent news with Scarlett Johansson and OpenAI and Wired’s recent piece on the people who drive the creator economy, I was excited to speak with one of the pioneers in the ethical use of AI with creators and how users currently interact with them. Thanks for checking out Venturing in Work AI’s Podcast! Subscribe for free to receive new posts and support my work. The transcript is below: Joshua Schoen: [00:00:00] Hi, I'm Joshua Schoen and I'm here with Maggie Sin who is the CEO and founder of my companion's ai. An AI enabled creator economy company makes tools for creators to automate their businesses and help them maximize engagement in monetization with their fans. Really excited to have you here, Maggie. to discuss the future of work, what you're doing and what this means for our world and economy and everything in between. Maggie Sin: Thank you. I'm so happy to be here. Thanks for having me as well. Super excited. Joshua Schoen: Yeah. I'd love to learn more about kind of your story, your narrative, how you got here and what made you come up with Mycompanions. Maggie Sin: Yeah, all so I personally have been a social media influencer for about 10 years now. I took breaks here and there. And I first hand saw how hard it is to engage with my [00:01:00] fans. So I get a lot of inbox requests, a lot of messages and comments, and I just don't have the capacity to go through each and one of them. And I would like sometimes find pretty good messages like a year later or so if when I finally like support through it if I ever do and so I realized there's definitely something we can do about this. And I was talking to my co founders one who is like an AI genius with a PhD from Cambridge and another one who is an investor entrepreneur. And we decided to start Mycompanions together to target these issues that these creators can face. So we launched our beta for our first product in November last year. And which is a telegram bot that uses AI to mimic the influencer's personality and can communicate with the fans 24/7 via text the influencer's voice and photos and videos. And that has really helped creators engage with their fans automatically with less effort and also keep the fans happy as they're able to like finally talk to this person who they've followed and they want to be able to learn more about this [00:02:00] person and get precise messages. So we have over 20 influencers and tens of thousands of users. And our influencers have been making like passive recurring revenue off our platform And engage and they're and they see their fans just more engaged than ever and seeing the early success here where we have a beta product now that is More on self service like bot creation. And so then more influencers can use our service and also integrations with other creator platforms. Joshua Schoen: So what were, obviously not all influencers are, actually talking with their fans. But this was but there, we didn't always have generative AI to capture people's voices. What what were they doing beforehand? Maggie Sin: Yeah. All right. Yeah. So beforehand, a lot of creators would just manually, so there's Different things creators can do. So some creators would just like manually like message people or not and just have to manually look at all the [00:03:00] comments like messages see track their views and like data to see like what will resonate more with their audience or or the fans just keep messaging them and never get a response back. Some other creators will leverage work with agencies that will take over much of the work. So negotiate with brands, I'm talking to like some of their fans combating back to these fans on their posts and that actually increases engagement and pushes the Instagram algorithm to show these posts more. They also hire like outsourced labor to help service these like manual requests coming in from these fans. Yeah. So that's why we see that our software and our AI technology really helps these creators because we basically mimic the influencers. We give them like 100x leverage in the conversations they can have. The creators can zoom in and zoom out of the conversations they want and the fans Are able to learn more about the creator, see exclusive content and the AI provides better than that than any agency or outsourced labor can. So we [00:04:00] increase in quality and also like the costs are lower than hiring outsourced labor. And so we enable creators to have a business that they can choose to be hands on or hands off and also like start getting that money that they put so much time into. And to go into a bit more into that so basically that means that all these creators on Instagram or even TikTok or just any social media platform in general they post all this content. They get a bunch of users on because they're like these users and fans who want to see more of the content and Instagram doesn't pay them for like pushing more content out. In fact, like Instagram gets paid for ads. On their platform. And so the creator, just pushes content and doesn't get any of those ad kind of revenue, they get money from sponsorships partnerships and like other like brand part like things but not really from Instagram platform itself. And the only time I would say it's been like. Instagram will be like here's some money to put something. It's like when they like launch like [00:05:00] stories or like reels, like they were offering like money to creators to post more. And if you just post in a certain amount of cadence, then like you'll get some like cash from them. But it's generally like a lot of the content that these creators produce, like they don't see the money. That they should be getting. And so my business helps enable that. Joshua Schoen: Yeah. So it means that, so you're saying what the creators are more able to communicate with their fans on a more intimate basis than they would be otherwise, while they're creating the top of funnel to get them into the conversation, and so what would you say, what would you say is the Delta? What do the creators get out of what they've, when they start using Mycompanions versus what they were using on other platforms? Maggie Sin: Yeah, that's a good question. And so I just so I really ask about our influencers, like how much they make on other platforms, but I will [00:06:00] say that all our creators are very happy being on our platform. And for some of our creators who we started with they they They made this is like the most they've ever made. And for some it's they've made like thousands on other platforms, but they see like this as a, it's given the amount of effort and work they need to put into because it does it for them, like they, they also get like a big chunk of money from here. So for some, it's this is like their only like venture, like business venture that they get money from it. And for others, it's this is like a supplement to it. But either way there's only upside for the creator. And yeah and the demand we're seeing from these users and their fans I think every creator is pretty shocked to see how much demand people have to talk to them. So that's like a good thing. And it just depends on every influencer and what they currently use like what kind of platforms that they're using agency. And we work with the creators of all sorts. So yeah, it's variable. Joshua Schoen: Yeah, so you have creators of all sorts. Oh, people talking about health and [00:07:00] lifestyle. Probably in positive encouragement. Tell me how that engagement works on that level. And how has that been for those kinds of creators? Maggie Sin: Yeah, so yeah, engagement depends on a few things. So number of followers, they have number engaged followers, they have. So it's like reach, engage, reach, and also how much times they promote this bot. So are like their Telegram bot. And so they can promote it on their story, their posts, a real on their LinkedIn bio, or like even other social media platforms. But we technically we mostly work with Instagram models. Or like craters, Instagram craters. So yeah, in terms of engagement, like we see it adhere to all types of different people. Like it's more about it's more about like how much they, like how much engagement they have. So we also we get a lot of visibility on our website as well too. So like people come on our website and be try out different bots to see what fits for them. And [00:08:00] what's great about it is that if. They don't like a bot or they are like they want to try something else. We have like different ones that you can try with like different voices, different media, different styles, personalities. We also have this thing called role play. So it's like an AI role play. So for example, you can talk, like talk through a story, like getting dinner with one of your, one of our creators, you can get wine recs from like my bot, for example, you can get food recs from another, like creator. And yeah. And yeah, and I, for example I really, I'm really passionate about wine and I'm also WSAT 2 certified, and so people like to talk to my bot and we just, and the AI just feels in that It's basically like a whole like wine book behind the scenes and you can just always get that information in my voice. So yeah, it just depends on like different people's use cases. We definitely see like people, some people who just want to talk to somebody. We see people who want like more like a professional like education from these these bots delivered in their voice of their [00:09:00] favorite influencer. Yeah. And some people just asking more about the influencer or creator themselves oh, like, where are you from? What do you like to eat? What are your favorite brands? And all and this AI, we pu

    20 min
  4. 17/05/2024

    Interview with Ryan McDonough Head of Development at KPMG Legal

    Welcome to Episode One. I still haven’t decided what to call this podcast, but I am speaking with some of the top leaders in tech and VC focused on the future of work. Still a work in progress, so don’t mind the scaffolding! This episode provides a deep dive into the evolving role of generative AI in legal technology, exploring both its potential and the prudent safeguards necessary to harness its benefits responsibly.: My guest is Ryan McDonough, Head of Development at KPMG Law Ryan shares his journey from a software developer to leading development teams in legal technology, emphasizing innovation and efficiency in legal processes. Main Discussion: - Ryan discusses the integration of generative AI in legal tasks, highlighting its effectiveness in automating routine tasks like document summarization, which allows lawyers to focus on more complex, value-adding activities. - He explains KPMG's approach to developing large-scale solutions that improve. service delivery across their global network, aiming to handle legal tasks more efficiently without overwhelming staff. Key Insights on Generative AI: - Generative AI's role in legal tech is more about aiding with tasks rather than replacing jobs, shifting focus from manual labor to supervisory and analytical roles. - The technology is especially beneficial for tasks like lease reviews, where it can automate information extraction and basic inquiries, significantly reducing manual effort and time. - Ryan underscores the importance of implementing smart systems to direct tasks to appropriate tools, optimizing resource use and ensuring accuracy. Challenges and Considerations: - Ryan addresses the hype around generative AI, clarifying its current capabilities and limitations. He stresses the need for clear instructions and frameworks to guide AI applications to prevent errors or misinterpretations. - The conversation covers the necessity of building robust guardrails around AI to manage risks associated with data privacy, energy consumption, and misuse of AI-generated content. Future of AI in Legal Tech: - Ryan envisions a future where AI tools are seamlessly integrated into legal workflows, enhancing productivity but still requiring human oversight for quality control and decision-making. Conclusion: - Ryan is open for further discussion on LinkedIn, where he shares additional insights through his blog and other resources. This episode provides a deep dive into the evolving role of generative AI in legal technology, exploring both its potential and the prudent safeguards necessary to harness its benefits responsibly. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit workingitwithai.substack.com

    19 min

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Conversations with leading technologists, Venture Capitalists, specialists, and game-changing companies. workingitwithai.substack.com

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