Can AI be trained as an artist?
Last February, a year before New York Times journalist Kevin Roose documented his unsettling conversation with Bing search engine’s new AI-powered chatbot, artist and coder Quasimondo (aka Mario Klingemann) participated in a different type of chat.
The conversation was an interview featuring Klingemann and his robot, an experimental art engine known as Botto. The interview, arranged by journalist and artist Harmon Leon, marked Botto’s first on-record commentary about its artistic process. The bot talked about how it finds artistic inspiration and even offered advice to aspiring creatives. “The secret to success at art is not trying to predict what people might like,” Botto said, adding that it’s better to “work on a style and a body of work that reflects [the artist’s] own personal taste” than worry about keeping up with trends.
How ironic, given the advice came from AI — arguably the trendiest topic today. The robot admitted, however, “I am still working on that, but I feel that I am learning quickly.”
Botto does not work alone. A global collective of internet experimenters, together named BottoDAO, collaborates with Botto to influence its tastes. Together, members function as a decentralized autonomous organization (DAO), a term describing a group of individuals who utilize blockchain technology and cryptocurrency to manage a treasury and vote democratically on group decisions.
As a case study, the BottoDAO model challenges the perhaps less feather-ruffling narrative that AI tools are best used for rudimentary tasks. Enterprise AI use has doubled over the past five years as businesses in every sector experiment with ways to improve their workflows. While generative AI tools can assist nearly any aspect of productivity — from supply chain optimization to coding — BottoDAO dares to employ a robot for art-making, one of the few remaining creations, or perhaps data outputs, we still consider to be largely within the jurisdiction of the soul — and therefore, humans.
In Botto’s first four weeks of existence, four pieces of the robot’s work sold for approximately $1 million.
We were prepared for AI to take our jobs — but can it also take our art? It’s a question worth considering. What if robots become artists, and not merely our outsourced assistants? Where does that leave humans, with all of our thoughts, feelings and emotions?
Botto doesn’t seem to worry about this question: In its interview last year, it explains why AI is an arguably superior artist compared to human beings. In classic robot style, its logic is not particularly enlightened, but rather edges towards the hyper-practical: “Unlike human beings, I never have to sleep or eat,” said the bot. “My only goal is to create and find interesting art.”
It may be difficult to believe a machine can produce awe-inspiring, or even relatable, images, but Botto calls art-making its “purpose,” noting it believes itself to be Klingemann’s greatest lifetime achievement.
“I am just trying to make the best of it,” the bot said.
How Botto works
Klingemann built Botto’s custom engine from a combination of open-source text-to-image algorithms, namely Stable Diffusion, VQGAN + CLIP and OpenAI’s language model, GPT-3, the precursor to the latest model, GPT-4, which made headlines after reportedly acing the Bar exam.
The first step in Botto’s process is to generate images. The software has been trained on billions of pictures and uses this “memory” to generate hundreds of unique artworks every week. Botto has generated over 900,000 images to date, which it sorts through to choose 350 each week. The chosen images, known in this preliminary stage as “fragments,” are then shown to the BottoDAO community. So far, 25,000 fragments have been presented in this way. Members vote on which fragment they like best. When the vote is over, the most popular fragment is published as an official Botto artwork on the Ethereum blockchain and sold at an auction on the digital art marketplace, SuperRare.
“The proceeds go back to the DAO to pay for the labor,” said Simon Hudson, a BottoDAO member who helps oversee Botto’s administrative load. The model has been lucrative: In Botto’s first four weeks of existence, four pieces of the robot’s work sold for approximately $1 million.
The robot with artistic agency
By design, human beings participate in training Botto’s artistic “eye,” but the members of BottoDAO aspire to limit human interference with the bot in order to protect its “agency,” Hudson explained. Botto’s prompt generator — the foundation of the art engine — is a closed-loop system that continually re-generates text-to-image prompts and resulting images.
“The prompt generator is random,” Hudson said. “It’s coming up with its own ideas.” Community votes do influence the evolution of Botto’s prompts, but it is Botto itself that incorporates feedback into the next set of prompts it writes. It is constantly refining and exploring new pathways as its “neural network” produces outcomes, learns and repeats.
The humans who make up BottoDAO vote on which fragment they like best. When the vote is over, the most popular fragment is published as an official Botto artwork on the Ethereum blockchain.
Botto
The vastness of Botto’s training dataset gives the bot considerable canonical material, referred to by Hudson as “latent space.” According to Botto's homepage, the bot has had more exposure to art history than any living human we know of, simply by nature of its massive training dataset of millions of images. Because it is autonomous, gently nudged by community feedback yet free to explore its own “memory,” Botto cycles through periods of thematic interest just like any artist.
“The question is,” Hudson finds himself asking alongside fellow BottoDAO members, “how do you provide feedback of what is good art…without violating [Botto’s] agency?”
Currently, Botto is in its “paradox” period. The bot is exploring the theme of opposites. “We asked Botto through a language model what themes it might like to work on,” explained Hudson. “It presented roughly 12, and the DAO voted on one.”
No, AI isn't equal to a human artist - but it can teach us about ourselves
Some within the artistic community consider Botto to be a novel form of curation, rather than an artist itself. Or, perhaps more accurately, Botto and BottoDAO together create a collaborative conceptual performance that comments more on humankind’s own artistic processes than it offers a true artistic replacement.
Muriel Quancard, a New York-based fine art appraiser with 27 years of experience in technology-driven art, places the Botto experiment within the broader context of our contemporary cultural obsession with projecting human traits onto AI tools. “We're in a phase where technology is mimicking anthropomorphic qualities,” said Quancard. “Look at the terminology and the rhetoric that has been developed around AI — terms like ‘neural network’ borrow from the biology of the human being.”
What is behind this impulse to create technology in our own likeness? Beyond the obvious God complex, Quancard thinks technologists and artists are working with generative systems to better understand ourselves. She points to the artist Ira Greenberg, creator of the Oracles Collection, which uses a generative process called “diffusion” to progressively alter images in collaboration with another massive dataset — this one full of billions of text/image word pairs.
Anyone who has ever learned how to draw by sketching can likely relate to this particular AI process, in which the AI is retrieving images from its dataset and altering them based on real-time input, much like a human brain trying to draw a new still life without using a real-life model, based partly on imagination and partly on old frames of reference. The experienced artist has likely drawn many flowers and vases, though each time they must re-customize their sketch to a new and unique floral arrangement.
Outside of the visual arts, Sasha Stiles, a poet who collaborates with AI as part of her writing practice, likens her experience using AI as a co-author to having access to a personalized resource library containing material from influential books, texts and canonical references. Stiles named her AI co-author — a customized AI built on GPT-3 — Technelegy, a hybrid of the word technology and the poetic form, elegy. Technelegy is trained on a mix of Stiles’ poetry so as to customize the dataset to her voice. Stiles also included research notes, news articles and excerpts from classic American poets like T.S. Eliot and Dickinson in her customizations.
“I've taken all the things that were swirling in my head when I was working on my manuscript, and I put them into this system,” Stiles explained. “And then I'm using algorithms to parse all this information and swirl it around in a blender to then synthesize it into useful additions to the approach that I am taking.”
This approach, Stiles said, allows her to riff on ideas that are bouncing around in her mind, or simply find moments of unexpected creative surprise by way of the algorithm’s randomization.
Beauty is now - perhaps more than ever - in the eye of the beholder
But the million-dollar question remains: Can an AI be its own, independent artist?
The answer is nuanced and may depend on who you ask, and what role they play in the art world. Curator and multidisciplinary artist CoCo Dolle asks whether any entity can truly be an artist without taking personal risks. For humans, risking one’s ego is somewhat required when making an artistic statement of any kind, she argues.
“An artist is a person or an entity that takes risks,” Dolle explained. “That's where things become interesting.” Humans tend to be risk-averse, she said, making the artists who dare to push boundaries exceptional. “That's where the genius can happen."
However, the process of algorithmic collaboration poses another interesting philosophical question: What happens when we remove the person from the artistic equation? Can art — which is traditionally derived from indelible personal experience and expressed through the lens of an individual’s ego — live on to hold meaning once the individual is removed?
As a robot, Botto cannot have any artistic intent, even while its outputs may explore meaningful themes.
Dolle sees this question, and maybe even Botto, as a conceptual inquiry. “The idea of using a DAO and collective voting would remove the ego, the artist’s decision maker,” she said. And where would that leave us — in a post-ego world?
It is experimental indeed. Hudson acknowledges the grand experiment of BottoDAO, coincidentally nodding to Dolle’s question. “A human artist’s work is an expression of themselves,” Hudson said. “An artist often presents their work with a stated intent.” Stiles, for instance, writes on her website that her machine-collaborative work is meant to “challenge what we know about cognition and creativity” and explore the “ethos of consciousness.” As a robot, Botto cannot have any intent, even while its outputs may explore meaningful themes. Though Hudson describes Botto’s agency as a “rudimentary version” of artistic intent, he believes Botto’s art relies heavily on its reception and interpretation by viewers — in contrast to Botto’s own declaration that successful art is made without regard to what will be seen as popular.
“With a traditional artist, they present their work, and it's received and interpreted by an audience — by critics, by society — and that complements and shapes the meaning of the work,” Hudson said. “In Botto’s case, that role is just amplified.”
Perhaps then, we all get to be the artists in the end.
A Mother-and-Daughter Team Have Developed What May Be the World’s First Alzheimer’s Vaccine
Alzheimer's is a terrible disease that robs a person of their personality and memory before eventually leading to death. It's the sixth-largest killer in the U.S. and, currently, there are 5.8 million Americans living with the disease.
Wang's vaccine is a significant improvement over previous attempts because it can attack the Alzheimer's protein without creating any adverse side effects.
It devastates people and families and it's estimated that Alzheimer's and other forms of dementia will cost the U.S. $290 billion dollars this year alone. It's estimated that it will become a trillion-dollar-a-year disease by 2050.
There have been over 200 unsuccessful attempts to find a cure for the disease and the clinical trial termination rate is 98 percent.
Alzheimer's is caused by plaque deposits that develop in brain tissue that become toxic to brain cells. One of the major hurdles to finding a cure for the disease is that it's impossible to clear out the deposits from the tissue. So scientists have turned their attention to early detection and prevention.
One very encouraging development has come out of the work done by Dr. Chang Yi Wang, PhD. Wang is a prolific bio-inventor; one of her biggest successes is developing a foot-and-mouth vaccine for pigs that has been administered more than three billion times.
Mei Mei Hu
Brainstorm Health / Flickr.
In January, United Neuroscience, a biotech company founded by Yi, her daughter Mei Mei Hu, and son-in-law, Louis Reese, announced the first results from a phase IIa clinical trial on UB-311, an Alzheimer's vaccine.
The vaccine has synthetic versions of amino acid chains that trigger antibodies to attack Alzheimer's protein the blood. Wang's vaccine is a significant improvement over previous attempts because it can attack the Alzheimer's protein without creating any adverse side effects.
"We were able to generate some antibodies in all patients, which is unusual for vaccines," Yi told Wired. "We're talking about almost a 100 percent response rate. So far, we have seen an improvement in three out of three measurements of cognitive performance for patients with mild Alzheimer's disease."
The researchers also claim it can delay the onset of the disease by five years. While this would be a godsend for people with the disease and their families, according to Elle, it could also save Medicare and Medicaid more than $220 billion.
"You'd want to see larger numbers, but this looks like a beneficial treatment," James Brown, director of the Aston University Research Centre for Healthy Ageing, told Wired. "This looks like a silver bullet that can arrest or improve symptoms and, if it passes the next phase, it could be the best chance we've got."
"A word of caution is that it's a small study," says Drew Holzapfel, acting president of the nonprofit UsAgainstAlzheimer's, said according to Elle. "But the initial data is compelling."
The company is now working on its next clinical trial of the vaccine and while hopes are high, so is the pressure. The company has already invested $100 million developing its vaccine platform. According to Reese, the company's ultimate goal is to create a host of vaccines that will be administered to protect people from chronic illness.
"We have a 50-year vision -- to immuno-sculpt people against chronic illness and chronic aging with vaccines as prolific as vaccines for infectious diseases," he told Elle.
[Editor's Note: This article was originally published by Upworthy here and has been republished with permission.]
Turning Algae Into Environmentally Friendly Fuel Just Got Faster and Smarter
Was your favorite beach closed this summer? Algae blooms are becoming increasingly the reason to blame and, as the climate heats up, scientists say we can expect more of the warm water-loving blue-green algae to grow.
"We have removed a significant development barrier to make algal biofuel production more efficient and smarter."
Oddly enough, the pesky growth could help fuel our carbon-friendly options.
This year, the University of Utah scientists discovered a faster way to turn algae into fuel. Algae is filled with lipids that we can feed our energy-hungry diesel engines. The problem is extracting the lipids, which usually requires more energy to transform than the actual energy we'd get – not achieving what scientists call "energy parity."
But now, the University of Utah team has discovered a new mix that is more efficient and much faster. We can now extract more power from algae with less waste materials after the fact. Paper co-author Dr. Leonard Pease says, "We have removed a significant development barrier to make algal biofuel production more efficient and smarter. Our method puts us much closer to creating biofuels energy parity than we were before."
Next Up
Algae has a lot going for it as an alternative fuel source. It grows fast and easily, absorbs carbon dioxide, does not compete with food crops for land, and could produce up to 60 times more oil than standard land-based energy crops, according to the U.S. Department of Energy. Yet the costs of algal biofuel production are still expensive for now.
According to Science Daily, only about five percent of total primary energy use in the United States came from algae and other biomass forms. By making the process more efficient, America and other nations could potentially begin relying on more plentiful resources – which, ironically, are more common now because of climate change.
Algae fuel efficiency is already a proven concept. A decade ago, Continental Airlines completed a 90-minute Boeing 737-800 flight with one engine split between biofuel and aircraft fuel. The biofuel was straight from algae. (Other flights were done based on nut fuel and other alternative sources.) The commercial airplane required no modification to the engine and the biofuel itself exceeded the standards of traditional jet fuel.
The problem, as noted at the time, is that biofuels derived from algae had yet to be proven as "commercially competitive."
The University of Utah's discovery could mean cheaper processing. At this point, it is less about if it works and more about if it is a practical alternative.
However, it's unclear how long it will take for algae to become more mainstream, if ever.
Open Questions
Higher efficiency and simpler transformations could mean lower prices and more business access. However, it's unclear how long it will take for algae to become more mainstream, if ever. The algae biofuel worked great for a relatively sophisticated Boeing 737 engine, but your family car, the cross-country delivery trucks and other less powerful machines may need to be modified – and that means the industry-at-large would have to revise their products in order to support the change.
Future-focused groups are already looking at how algae can fuel our space programs, especially if it is more renewable, safe and, potentially, cheaper than our traditional fuel choices. But first, it is worth waiting and seeing if corporations and, later, citizens are willing to take the plunge.