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.
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.
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.
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.
In this conversation, we chat with Erick Calderon is the founder and CEO at Art Blocks, a platform for creating on-demand, generative art pieces. Since its launch a year ago, Art Blocks has garnered the attention of many, including auction house Sotheby’s, which recently sold 19 of the platform’s pieces in a deal totaling $81,000. Calderon, a native Houstonian, uses the online handle Snowfro, which stems from a snow cone stand he used to own.
More specifically, we touch on projection mapping, generative vs. algorithmic art, machine learning, smart contracts, the constructivist art movement, Artblocks’ unique approach to NFT algorithms and minting, NFT flipping vs. scalping, gas price wars, flashbots, dutch auctions, and the massive demand for anything Artblocks in the world today and the justifcations behind such demand.
Facebook is building towards a Metaverse version of the Internet, in both its hardware and software efforts. What are the implications? And further, how does one acquire status, work, and social capital in such a world? We explore the recent NFT avatar projects through the lens of Ivy League universities and CFA exams to understand some timeless cultural trends.
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.
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.
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.