In this episode, we connect with serial founder Ohad Samet, CEO of TrueAccord. Ohad has been working in fintech machine learning for a decade and a half, applying multi-dimensional mathematics to consumer finance. The result? A more empathetic approach to the traditionally gnarly problem of debt collection.
In this conversation, we have a really cool conversation on fintech, crypto assets, payments and all the things around it with Ivan Soto-Wright, the CEO and Co-founder of MoonPay.
More specifically, we discuss Liability-driven Investment (LDI), the proliferation of AI in personal finance to drive sound decision-making, innovation in finance is following the same trajectory that resulted in VOIP for the telecommunication industry, the geographical maze of crypto KYC, payment networks, and crypto payment processing.
This week, we look at a breakthrough artificial intelligence release from OpenAI, called GPT-3. It is powered by a machine learning algorithm called a Transformer Model, and has been trained on 8 years of web-crawled text data across 175 billion parameters. GPT-3 likes to do arithmetic, solve SAT analogy questions, write Harry Potter fan fiction, and code CSS and SQL queries. We anchor the analysis of these development in the changing $8 trillion landscape of our public companies, and the tech cold war with China.
What we know intuitively, and what the software shows, is that the pixelated image can be expanded into a cone of multiple probable outcomes. The same pixelated face can yield millions of various, uncanny permutations. These mathematical permutations of our human flesh exit in an area which is called “latent space”. The way to pick one out of the many is called “gradient descent”.
Imagine you are standing in an open field, and see many beautiful hills nearby. Or alternately, imagine you are standing on a hill, looking across the rolling valleys. You decide to pick one of these valleys, based on how popular or how close it is. This is gradient descent, and the valley is the generated face. Which way would you go?
