Powering the AI revolution from DeepDream to Dall-E, with Lambda Labs CEO Stephen Balaban

Lex interviews Stephen Balavan, the CEO of Lambda Labs, a company that provides GPU servers, workstations and cloud services for training neural networks. Stephen talks about his background in computer science, economics, and deep learning, and how his interest in AI began with reading Neuromancer by William Gibson. He discusses the history of AI research, the concept of perceptron, and the breakthrough of deep learning in 2012-2014 that enabled machines to recognize and categorize images better than humans. Stephen also talks about working for Perceptio - which started as an API for face recognition, and and later was acquired by Apple. MENTIONED IN THE CONVERSATION Lambda's website: https://bit.ly/3j6nOVI CEO's Linkedin profile: https://bit.ly/3HAYhNv Topics: fintech, artificial intelligence, neural networks, deep learning, generative AI Companies: Lambda, Perceptio, Prisma, Apple, ChatGPT, Dall-E, Google, DeepDream, Dreamscope ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin TIMESTAMPS 1’48”: Stephen’s academic training and how it formed a foundation for his career trajectory 7’17”: The history of facial recognition AI, what a perceptron is, how it fails, and the architecture thereof 11’59”: Deep neural networks advancing facial recognition progress and the social credit score dystopia in China 17’45”: Define DeepDream and deep style - Neural network reverse engineering perceptions, visualisations and hallucinations 22’34”: From DeepDream to Dream Scope (web app) to accelerate image accuracy, and addressing the competition: Prisma’s Lensa 27’38”: The advances in the AI math that are responsible for the step-change in progress resulting in OpenAI’s ChatGPT, for example 31’53”: Lambda - how the company started, how the perceptions around consumable AI have changed, and the progress thusfar 36’42”: Lambda’s ability to evolve given the current heightened demand, and the future of the market 39’32”: What the future looks like with AI embedded into our everyday lives 41’38”: Channels to use to connect with Stephen & learn more about Lambda