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.
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.
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.
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?
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.
Today, we’re joined by Angela Dalton to explore the fun and fantastical world that sits at the intersection of gaming, immersive technology, crypto and economics, namely, the Metaverse.
Angela is the Founder and CEO of Signum Growth Capital, an M&A advisory firm focused on emerging opportunities in fintech, especially blockchain, and digital media.
In this conversation, we discuss expectations for both recreation and work in a digital future, technological advances in recent years that underpin coming changes to immersive virtual experiences, the economics of virtual worlds and more.
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.
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.
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.
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