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.
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?
This week, let's dive into the Apple augmented reality glasses leak, the Magic Leap $350 million financing, and the uncanny imagery created by Epic Games' Unreal Engine. We summarize and pull apart the thesis of the Metaverse -- a virtual world as realistic and economically important as our own -- and how media and financial companies should think about the opportunity.
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.
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
We look at some of the recent Fintech bundling news that boggle the mind. Neobank Chime just raised a mammoth round from DST Global, valuing it at $6 billion. Figure raised another $60 million round. Goldman is launching a retail roboadvisor. Revolut is offering pensions. Wealthfront is offering mortgages. The world is upside down. We cool down with pictures showing augmented reality implementations in commerce and finance, and finish with an elevated thought about the future.
Let’s look at the recent Fortnite blackout and compare it to neobank Chime's embarassing down time, as well as explore the business model implication of what it means to be the social square where people hang out. Does Finance have such an equivalent? Maybe it is Venmo, crypto Twitter, or the credit unions. We also look at statistics behind influencer marketing, and how influencers have usurped the position of music labels. Perhaps banks should get ahead of this game too.
I examine how $6.4 billion real estate brokerage Compass stacks up against the digital wealth and lending companies with a similar go-to-market strategy, and provide some ideas as to why it is successful. Compelling questions also emerge when looking on how technologies like AR/VR are commoditizing the property brokerage experience. Compass, a residential real estate startup that built out a platform for brokers -- proprietary and external -- and has recently raised $370 million at a $6.4 billion valuation. I found the language and positioning sort of eery, in how similar it was to the story in industries I closely follow. It even bought a CRM earlier this year, not unlike AdvisorEngine buying Junxure, or Salesforce getting into financial verticals. What I did find unusual, was the absolutely massive valuation.
Finance is everywhere, and everywhere is finance. Smart city supply chains, self driving car insurance, video game real estate markets -- no matter which frontier technology you touch, it will have embedded implications on the delivery of financial services. And why wouldn't it? Like the use of language, finance is a human technology that allows societies to coalesce and compete with one another (in the Yuval Harari sense). It lifts people out of poverty and into entrepreneurship through microloans, providing generational sustenance for their families. And of course it also throws them into pits of corruption and greed, as they drink too deeply from the rivers of securitization and political power.
But enough poetry! I want to talk about augmented reality, attention platforms, and the re-formulation of payments and lending propositions in a global context.
