In this conversation, we talk with Tyler Mulvihill of Treum and EulerBeats, about how he became involved in the very first non-financial production grade blockchain use case, tracking & tracing tuna from Fiji to New York using Treum. Additionally, we explore the nuances of NFTs and how EulerBeats is using bonding curve economics to price the future of NFT use rather than mere collection.
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.
This week, we look at:
The nature of innovation hubs, and how close groups of actors within a particular environment can be massively, fundamentally productive. Take for example the 30 million years of the Cambrian explosion.
The difficulty of experimenting with banking and money frameworks, the limits of traditional econometrics, and an overview of “free banking” in the 1840s.
How evolutionary theory can help us think about selection of economic models, and the hyper-competition and hyper-mutation that we see in crypto. DeFi protocols, like BadgerDAO and ArcX among hundreds of others, are experiments in designing different monetary policies and banking regime experiments in real time.
We have never before had such acceleration in the design space of the economic machine, subject to evolutionary pressures, built by a closely-wound nexus of developers. It is a fortune for the curious.
The evolution towards a financial metaverse is rapidly accelerating, with the growth in generative assets, profile picture avatars, the emerging derivative structures that build on their foundation, and DAOs that govern them. This article highlights the most novel developments, and builds the case for what a digital wallet / bank will need to be able to do in order to succeed on the way to this alien destination.
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.
A few delicious morsels for us today, connecting ideas between the automation of the institutional art world, and the rise of non-fungible token art. We are surprised by how things are clicking.
We caught up recently with Lori Hotz of Lobus. Lori used to work in the wealth and investment management businesses of Wall Street (Lehman, Lazard) and comes to art with a background of asset allocation and investment assets. One core narrative in wealth management has of course been roboadvisors and digital wealth, and the automation of the financial advisor process. Whether you are doing client experience, CRM, financial planning, trading, or performance reporting, there are now lots of platforms for everyone from mass-retail to ultra-high-net-worth and family office advisors.
Luxury and fashion markets are structurally different from finance or commodity markets in that they seek to limit supply in order to generate value. This increases price and social status. We can analogize these brand dynamics to what is happening in NFT digital object markets and better understand their function as a result.
We’re not cool. That’s why we’re in finance.
But people want to be cool. As highly social and intelligent animals, we want and need to belong, differentiate against each other, and negotiate for status. We create signals and hierarchies to create pockets of relational capital, which we then cash in for real world benefits.
Such mammalian realities are contrary to the economic rendering of the homo economicus, the abstracted rational agent making choices in financial models. In 2021, our financial models are waking up and instantiating themselves, becoming Decentralized Autonomous Organizations (DAOs), spun up by DeFi and NFT industry insiders, and implemented into commercial actions onchain.
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.
This week, we look at:
Hashmasks, CryptoPunks, and other large NFT / crypto art projects generating tens of millions of USD trading volume
Perceptions of financial value, as well as whether it matters to have an “original” digital art piece relative to its digital copy
The intersection of collectibles with decentralized finance, and its collateralization, tranching, lending, and trading, as well as a view on 2021
We’ve had this write-up in some various mental states floating around for a while, and better done than perfect. So treat this as a core idea to be fleshed out later.
Payments and banking companies should be looking at how people purchase and store digital goods and digital currency in video games. That experience has been polished over 40 years, and is what will be the default expectation for future generations.
For those interested, here is a website that collects user experiences of shopping across hundreds of designs.
