Munch and Mix with Bill Tai, Legendary VC
Join our Developer Camp Discord: https://discord.gg/SUv6PG4w
Bill Tai has been funding startups as a VC since 1991 and has had 23 of his startups become listed companies. Personal Angel backer of 3 of the top 10 on "CNBC's 50 Top Disruptor List for 2022" (#3 Lineage Logistics, #4 Canva, #9 Dapper Labs). Companies he's been involved with at their starts surpassed $1 Trillion in aggregate market value in 2021.
Examples of his best bets also include: Twitter, Wish, and Color Genomics. Bill will be judging the Idea Showcase at Genius DevCamp, the world’s best hackathon. Join us for lunch, meet Bill and stay for the show!
Our friend Sheila Marcelo, founder of Care.com, will be debuting her next company Ohai on stage with a special presentation — to include Q&A and special access for the participants.
Joining Bill on the judging panel will be Amanda Terry (cofounder with Bill at ACTAI Ventures). She is the Co-Founder and Chief Operating Officer of Metagood, a pioneering Web3 company that launched historic NFT collection OnChainMonkey and ordinals marketplace Osura.com.
Our friend Brian Baumann will round out the panel. He leads technology initiatives for the NYSE global capital markets business, with expertise in futures, low latency, and big data. His goal is to advance the technology strategy and vision of the NYSE, and to contribute to its growth and leadership in the capital markets space.
Our participants are using a next-generation AI system to create AI-powered UI/UX, AI Scientists that can plan experiments, run them, and learn from the results. New kinds of AI-powered social media feeds like TikTok are now possible—but with anything you want in the feed, and where the user is in the driver seat to tell the AI what they want to see.
At Genius DevCamp, engineers, designers and entrepreneurs gather to explore the frontiers of machine learning. The Genius Platform forces an underlying LLM to become more scientific, more iterative, faster, more compute efficient, and more reliable.
This makes it possible to use an LLM to power all sorts of real-time UI/UX interactions and makes it possible to have an LLM learn from large-scale statistical data derived from scientific experiments that it performs and iterates.
This promises to be an historical moment in artificial intelligence—you can't miss it!