Fintech and DeFi Research Archive — The Fintech Blueprint

NVIDIA's Kevin Levitt on Artificial Intelligence, deep learning, and its role in financial services

In this conversation, we chat with Kevin Levitt who currently leads global business development for the financial services industry at NVIDIA. He focuses on global trends in accelerated compute and AI for consumer finance – including fintech, retail banking, credit card and insurance. Prior to joining NVIDIA, Kevin served as Vice President of Business Development at Credit Karma, and Vice President of Sales for Roostify.

More specifically, we touch on the role data plays in the financial industry, how the needs of financial institutions have changed, the age of big data, the definitions between artificial intelligence and machine learning, how to train an AI algorithm, the reasoning behind the incredible amount of parameters machine learning solutions consume, the fundamental purpose of AI/ML in financial services, what NVIDIA’s platforms comprise of, and lastly the future of AI/ML.

Hallucinating Art and Finance with CLIP, VQGAN, and Big Sleep

Instead, we are going to tap again into a new development in Art and Neural Networks as a metaphor of where AI progress sits today, and what is feasible in the years to come. For our 2019 “initiation” on this topic with foundational concepts, see here. Today, let’s talk about OpenAI’s CLIP model, connecting natural language inputs with image search navigation, and the generative neural art models like VQ-GAN.

Compared to GPT-3, which is really good at generating language, CLIP is really good at associating language with images through adjacent categories, rather than by training on an entire image data set.

artificial intelligence, visual artLex SokolinJuly 16, 2021GPT-3, CLIP, GitHub, OpenAI, Deep Dream, Deep Style

Building the best payments fiat to crypto onramp, with Ivan Soto-Wright of MoonPay

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.

A meditation on capitalism, the grey goo, and the Borganisms

You work. You get money. You take money and invest it. If you are lucky, it becomes larger. Otherwise, it becomes smaller. If you have a lot of money, you can either start a company or not. If you start a company, you invest in your own ability to influence outcomes and in your own transformation function. There are other, personal utility functions also being satisfied in executing the transformation function. Alternately, you focus on the work of getting capital into other companies. For this allocation and selection work, you are rewarded. To this, you can add the capital of others, until you are doing selection on their behalf.

Jamie Burke of Outlier Ventures on DeFi and NFT investing and acceleration

In this conversation, we talk with Jamie Burke of Outlier Ventures. This is a fascinating and educational conversation that covers frontier technology companies and protocols in blockchain, IoT, and artificial intelligence, and the convergence of these themes in the future. Jamie walks us through the core investment thesis, as well as the commercial model behind shifting from incubation to acceleration of 30+ companies. We pick up on wisdom about marketing timing and fund structure along the way.

The AI cluster running on top of the Internet has data mined you, and has some deep fakes to sell you

This week, we look at:

Deep Fakes behind South Park creators' new parody, Sassy Justice
The AI-created author of the fake Hunter Biden intelligence report
GPT-3 winning the love and attention of people on Hacker News
How should we react to these robots and their desire to mess with our minds

Unlike equities, the crypto markets were born from machines, and are constructed from code. Hold dear the tokens in which you believe, and stay away from the stories of easy money. Nothing is easy. To win Russian roulette is not good fortune. It is, instead, a grave mistake to play a lethal game. Have you nothing to lose?

And then Brexit. And then Taiwan and China. And then Covid, again. And then, who knows.

From now on and forever, your counterparty is the data center running an AI cluster on top of the Internet. The data center that has already profiled you and knows everything about you. Bring the tinfoil hat.

How IBM spinning-out $18B of managed infrastructure revenue, or Reliance Jio growing to 400MM mobile users, creates a chassis for digital finance

This week, we look at:

IBM spinning out its managed services division with $18 billion of revenue in order to focus on hybrid cloud and digital transformation
Reliance Jio, the Indian mobile telecom provider with 400 million users, contemplating financial services with backing from Google and Facebook
The role that technology infrastructure plays in the delivery of financial services

From Fintech to Augmented Reality Commerce to Artificially Intelligent Agents

I presented earlier this week at the Ally Invest virtual conference, and the prompt asked for a description of what happens to finance from Fintech to Crypto / Blockchain to Augmented Reality / Virtual Worlds and finally to Artificial Intelligence.

Is Finance asking *interesting* questions? Exploring startups, industries, and the nature of work.

This week, we look at:

What it means to ask questions and find answers
From asking simple questions that result in neobanks and roboadvisors. Who will win — Schwab or Robinhood?
To asking macro questions about the finance / high-tech competition. Who will win — Goldman Sachs or Google?
To asking profound questions about the nature of the work, and the art of finding your own questions.

We can't formulate the questions for you. But we can give you a framework of needs for both the individual, and the organization.

The questions that you ask are the answers that you will get.

The nature of Consciousness, artificial intelligence, and how we see Finance Sep 11, 2020 1

The question of consciousness goes to the root of why we build, what we create, and how we decide what is valuable and what is not. And if we can control our self-conception and the modeling we do of the world, the texture of life becomes better. A recurrent theme in our writing is that systems don’t care about their agents per se. There are many game theoretical equilibria where agents suffer, but systems perpetuate. So figuring out how an agent within a system reflects on happiness is paramount.

Fractals & reflexivity, philosophy, artificial intelligenceLex SokolinSeptember 11, 2020Joscha Bach, Homunculus, Mandelbrot

How should Fintech react to Epic raising $2B on Fortnite's 350MM users, NY Times photogrammetric environments, and Apple's AR glasses

Within a decade, the form factor for computing will radically change from staring at screens with flat imagery, to participating in embedded virtual worlds with fully navigable, hyper-realistic environments. Those environments will be filled with software agents, some hybrid human and others entirely AI, that are entirely unrecognizable as anything but real to 90% of the population.

artificial intelligence, metaverseLex SokolinAugust 7, 2020UBS, OpenAI, Epic Games, Fortnite, GPT-3

OpenAI, backed with $1B+ by Elon Musk & MSFT, can now program SQL and write Harry Potter fan-fiction

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.

White Obama made by Artificial Intelligence

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?

Technology, Empathy and Finance in a Time of Crisis, with Ohad Samet of TrueAccord

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.

artificial intelligence, fixed income, digital lendingLex SokolinMay 15, 2020TrueAccord

Artificial Intelligence that writes pop songs and paints portraits

The image is taken from an AI paper which explains how to use generative adversarial networks (i.e., GANs) to hallucinate hyper realistic-imagery. By training on hundreds of thousands of samples, the model is able to create candidates representing things like “just a normal dude holding a normal fish nothing to see here”, and then edit out the ones that are too egregious.

The reason the stuff above is so scary is actually that you can mathematically transition in the space between images. So for example, you could move between “a normal dude” and “just a normal fish” and have nightmare fish people. Or you could create a DNA root for an image which is part dog, part car, and part jellyfish. Check out the video below and the very accessible https://www.artbreeder.com/ website to see what I mean.

The Grand Theory of the Universe

I came upon this announcement by Stephen Wolfram recently: Finally We May Have a Path to the Fundamental Theory of Physics… and It’s Beautiful. Wolfram is a theoretical physicist turned mathematician, computer scientist, and entrepreneur responsible for the rigorous Mathematica software. After a career of building one of the most advanced computational packages ever created, he is returning to the question that endlessly captivates geniuses — what is the equation at the heart of our universe?

Is there one unifying stroke of the pen that can connect conventional physics, general relativity, and quantum mechanics into a single whole? Wolfram is not conventional, and I cannot do justice to his thinking both given its complexity and rigor. He claims to have found one such answer, which I will try to sketch. But what drew my atten

Have Facebook Messenger Chatbots failed for Finance?

In the long take this week, I try out a contrarian point of view on personal finance chatbots. Trim, a savings chatbot, just withdrew support from Facebook Messenger. While lots of other chatbots are still invested in conversational banking, what could we take away from the counterfactual of chatbots failing to get B2C traction? What is the impact on the rest of the platform wars waged by Amazon, Google, and Tesla for connected homes, cars, and the Internet of Things?

Fighting Chinese Artificial Intelligence with lasers and American Crypto with European Central Banks

How do the Americans and the Chinese have such different ethical takes on privacy, self-sovereignty, media, and the role of government? We can trace the root cause to the DNA of the macro-organism in which individuals reside, itself built over centuries and millenia from the collective scar tissue of local human experience. But there is more to observe. The technology now being deployed in each jurisdiction -- like social credit, surveillance artificial intelligence, monitored payment rails, and central bank cryptocurrency -- will drive a software architecture into the core of our societies that reflects the current moment. And it will be nearly impossible to change! This is why *how* we democratize access to financial services matters. We must be careful about the form, because we will be stuck with it like Americans are stuck with the core banking systems from the 1970s. But the worry is not inefficiency, it is programmed social strata.

What Finance can learn from the Evolution of Beautiful Artificial Intelligence Art

However, mastery is not immune to automation. As a profession, portraiture melted away with the invention of the Camera, which in turn became commoditized and eventually digitized. The value-add from painting had to shift to things the camera did *not* do. As a result, many artists shifted from chasing realism to capturing emotion (e.g., Impressionism), or to the fantastical (e.g., Surrealism), or to non-representative abstraction (e.g., Expressionism) of the 20th century. The use of the replacement technology, the camera, also became artistic -- take for example the emotional range of Fashion or Celebrity photography (e.g., Madonna as the Mona Lisa). The skill of manipulating the camera into making art, rather than mere illustration, became a rare craft as well -- see the great work of Annie Leibovitz.

Deutsche Bank to fire 18,000 people while Amazon upskills 100,000

Today's corporations and governments are in the business of defining the balance of these aspects of our participation in society and the economy. Beliefs about the immutability of different attributes about what makes a person (or an employee) and how economies are built (cutting the pie, vs. growing the pie) determine the policy decisions you make, top down. As the core example this week, let's take Deutsche Bank. Facing pricing pressure and headwinds in several of its businesses, Deutsche is responding with a plan to fire 18,000 employees by 2022 and an announced investment of €13 Billion in technology and innovation by 2022. They even spun up a hipster-colored neobank as a proof point. Wall Street ain't buying it.

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