The hottest AI Art Substack posts right now

And their main takeaways
Category
Top Art & Illustration Topics
Astral Codex Ten β€’ 10048 implied HN points β€’ 14 Oct 24
  1. There's an AI Art Turing Test happening, which is a fun way to see if you can tell the difference between AI-generated art and human-made art.
  2. Participants can take part by filling out a form, which takes about twenty minutes, and the results will be shared the following week.
  3. Don't peek at the comments until you're done with the test, as they might give away answers.
The Algorithmic Bridge β€’ 254 implied HN points β€’ 27 Nov 24
  1. Art has two layers: a visible surface like colors and shapes, and a hidden layer that includes history and culture. AI art usually lacks this deeper meaning.
  2. People often struggle to tell AI art from human-made art because they focus only on the surface. They can learn to spot AI art by asking if it has that deeper history and consistency.
  3. Human creativity is stronger because it connects to real experiences and truths. AI can mimic but it doesn't understand the world or the meaning behind art.
ARTβ‹‚CODE β€’ 13 implied HN points β€’ 05 Nov 24
  1. Making art with AI can be challenging, but it’s not impossible. The key is finding a way to express your personal vision through the tools.
  2. Using AI might streamline the creative process, but it can also make it harder to put your unique voice into the work. You need to find a way to infuse your style into what AI generates.
  3. Art is not just about making choices; it's about a deeper connection between the artist and their medium. Embracing this relationship can lead to more meaningful creations.
So Here’s a Thing β€’ 1573 implied HN points β€’ 28 Feb 23
  1. The featured AI-tinged images in the announced Substack post provide a glimpse into the world of pastel retro-futurism art on social media.
  2. AI art sparks a discussion similar to digital art in the 1990s, where it can be a tool for artists to bring visions to life rather than an entity of great intrinsic value.
  3. The art pieces evoke a sense of capturing Ray Bradbury's mind after a night of adventures with David Bowie, creating a unique and vivid aesthetic.
Break Free with Karen Hunt β€’ 1218 implied HN points β€’ 02 Jun 23
  1. Conservatives boycotting companies for promoting the transgender agenda may not be effective as the focus is on influencing the younger Generation Z.
  2. Boycotting a few companies may not be enough to stop the transgender agenda that is progressing towards a future where AI and technology dominate.
  3. Young people are increasingly embracing fluid gender identities and diverse pronouns, reflecting the evolving societal norms.
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Wood From Eden β€’ 528 implied HN points β€’ 18 Mar 24
  1. AI-generated images are becoming prevalent on the internet, but their superficiality can hinder deeper meaning and understanding.
  2. The proliferation of AI images can crowd out images of real people and places, which traditionally provide more valuable information and opportunities for discovery.
  3. In a digital age where sharing reality is crucial, efforts should be made to prioritize genuine, real-world images over AI-generated ones to maintain authenticity and meaning.
Cybernetic Forests β€’ 279 implied HN points β€’ 04 Feb 24
  1. Art can either sell systems of power or support technocracy, highlighting the importance of using art to question and challenge technology rather than serve as a tool for propping up power.
  2. Imagination is often linked with AI, but it's crucial to move beyond speculative thinking to consider the real impacts and consequences of AI on our world today.
  3. Artists, when working with and against technology, can play a role in subverting and challenging powerful systems by acting as parasites, critiquing and revealing flaws instead of just showcasing technological prowess.
Cybernetic Forests β€’ 199 implied HN points β€’ 21 Jan 24
  1. When creating images with AI, we are essentially building data visualizations based on training data, and this can lead to reproducing stereotypes found in the training data.
  2. Archives, like Wikimedia Commons, require curation and community engagement to ensure responsible and equitable representation in AI training datasets.
  3. There is a need to recognize the cultural and emotional value of images and data, and to approach AI training data as more than just facts, but as part of a larger social and cultural fabric.
Things I Think Are Awesome β€’ 196 implied HN points β€’ 31 Dec 23
  1. The post discusses the Welsh tradition of Mari Lwyd, a skeletal horse pranking people during New Year's Eve.
  2. Mari Lwyd is associated with village mummers in south Wales in the 1800s and is constructed of a horse's skull and a white sheet.
  3. The post also covers various AI art tools, including an AI animation artist called NiceAunties and AI-generated SVG from images.
Cybernetic Forests β€’ 239 implied HN points β€’ 27 Aug 23
  1. Generative AI and Donald Trump's mugshot show how media signals and internet metrics influence image generation, highlighting the impact of feedback loops on visual media.
  2. Midjourney's prompts reveal how AI interprets and categorizes images based on stylistic markers like Sumatraism, showcasing a blend of aesthetic information and stereotypes.
  3. Algorithmic Hauntology warns about the dangers of automated pattern analysis rooted in biased archives, emphasizing the need to approach AI predictions and data processing with caution and awareness of historical influences.
RUINS β€’ 137 implied HN points β€’ 12 Jan 24
  1. AI art generators are advancing rapidly, with the ability to interpret text prompts and produce diverse imagery.
  2. There is a contrast between AI-generated art and human art in terms of process, risks, and meaning.
  3. The role of AI in art creation is debated, questioning whether it should supplement or replace human creativity.
Cybernetic Forests β€’ 119 implied HN points β€’ 31 Dec 23
  1. Subscribers to the newsletter tripled this year, showing growth and increased interest in the content.
  2. The author created and taught a course on AI Images, which was referenced by other educational institutions, showcasing influence in the field.
  3. The Algorithmic Resistance Research Group presented at the DEFCON 31 AI Village, demonstrating involvement in cutting-edge AI art and research.
Things I Think Are Awesome β€’ 176 implied HN points β€’ 01 Aug 23
  1. AI-run haunted houses in literature often present intriguing narratives and questions about space and identity.
  2. Poets and writers can explore unreal architectures and dream-like spaces created by AI tools to tell unique and engaging stories.
  3. Exploring the intersection of AI, art, and poetry can lead to the creation of cosmic narratives within the digital labyrinth.
Cybernetic Forests β€’ 159 implied HN points β€’ 23 Apr 23
  1. The story 'Sarah Palin Forever' explores the impact of political environments and media ecosystems on shaping identities.
  2. The concept of deepfakes and how they can be used as tools for satire and storytelling is discussed.
  3. The power of images and words in media is highlighted, emphasizing how narratives shape our perceptions and understandings.
Things I Think Are Awesome β€’ 157 implied HN points β€’ 14 May 23
  1. The project combines old haiku poetry with new AI technology to create multimedia experiences.
  2. The haiku illustrations include AI-generated letters, music, and video clips, focusing on the atmosphere and emotions of the poems.
  3. The project showcases the challenges and creativity involved in using AI models to generate visuals and music based on poetry prompts.
Cybernetic Forests β€’ 119 implied HN points β€’ 26 Nov 23
  1. Generative Adversarial Networks (GANs) were innovative in AI art, generating images based on existing datasets and patterns.
  2. Artists using GANs had more control over their datasets, shaping the outputs with their own images and deciding what to include, unlike modern Diffusion models.
  3. Training and working with GANs was an experimental process, where artists had to understand the algorithm's perspective and engage in a technical dialogue to create art.
Cybernetic Forests β€’ 139 implied HN points β€’ 13 Aug 23
  1. The Algorithmic Resistance Research Group (ARRG!) focuses on critiquing and analyzing AI systems, highlighting issues like data rights, stereotypes in AI output, ecological harms, political risks, and the impact of red teaming.
  2. ARPG! highlights the importance of challenging the logic of AI systems to avoid exploiting stereotypes, artist data rights, and push back against automated cultural production.
  3. Research showcased the use of Gaussian Noise Diffusion Loop to create abstract art, challenge content moderation tools, and explore the dynamics of AI-generated imagery.
Cybernetic Forests β€’ 119 implied HN points β€’ 22 Oct 23
  1. Refik Anadol's 'Unsupervised' art at the MoMA uses AI to visualize the MoMA's art archives in a unique way, offering a new perspective on data analytics and art
  2. Anadol's art piece juxtaposes the complexity and mystique of AI systems with the potential for human understanding and engagement, sparking discussions on the implications of AI in art and society
  3. Alternative models of AI art, like 'Anatomy of an AI System' and 'What Models Make Worlds', present critical perspectives that question the power dynamics and ethical implications of AI, contrasting with the awe-inspiring presentation of AI in Anadol's work
Cybernetic Forests β€’ 119 implied HN points β€’ 30 Apr 23
  1. Human perception of images is deeply intertwined with personal experiences and emotions, shaping how images are interpreted and associated with memories.
  2. Creating art involves a fusion of individual lived experiences and learned skills over time, contrasting with the quick generation of images by AI devoid of personal experiences.
  3. AI images are structured based on categories and datasets, emphasizing the need for artists to negotiate these categories and infuse individualized interpretations into the process.
Litverse β€’ 79 implied HN points β€’ 09 Dec 23
  1. The process of creating art with AI can be a mix of excitement and uncertainty, similar to Frankenstein's creation of his monster.
  2. Artists are facing a new age of AI technology and must adapt to the changes it brings, even if it sparks fear and ethical concerns.
  3. Utilizing AI in art could be a way to reach more people and make impactful creations, but it also presents challenges in maintaining human connection and relevance.
Do Not Research β€’ 99 implied HN points β€’ 25 Oct 23
  1. Explore the intersection of AI technology and human society through Daniel Felstead & Jenn Leung's project 'Literally No Place' on Dis.art.
  2. Consider the diverse range of futures AI technology could bring, from a post-scarcity society to potential human extinction.
  3. Reflect on the different perspectives presented in the project before forming a stance on AI's impact on society.
Cybernetic Forests β€’ 139 implied HN points β€’ 18 Dec 22
  1. Reflection on the problems and implications of AI-based image generation in art
  2. Consideration of the origin and context of AI training data, highlighting issues like exploitation and biases
  3. Exploration of rethinking AI images as material for artistic expression, and the importance of artists reclaiming agency over these tools and the images they create
Cybernetic Forests β€’ 59 implied HN points β€’ 16 Aug 23
  1. The author is offering a special promotion for readers to support their newsletter with a $1.00 monthly donation until September 1st.
  2. The newsletter includes interviews with new media artists, explorations of generative art practices, examinations of generative AI, and historicizing cybernetic and generative art work.
  3. Readers are encouraged to support the newsletter with financial contributions or by sharing it with others who might appreciate its content.
Cybernetic Forests β€’ 59 implied HN points β€’ 29 Jan 23
  1. Refik Anadol's AI art piece, 'Unsupervised,' at MoMA uses AI to interpret and reimagine the history of modern art, creating a mesh of pixelated visuals.
  2. Interpolation in AI refers to filling in the gaps between data points or images, creating a smooth transition and possible new variations.
  3. The concept of interpolation extends to creating a connection and kinship between disparate entities in an artistic representation, showcasing the latent possibilities in the in-between spaces.
Cybernetic Forests β€’ 39 implied HN points β€’ 19 Feb 23
  1. Eryk Salvaggio will be a guest on BBC 4's _Digital Humans_ radio show discussing creativity and automation in AI art
  2. Sensitive Noise is an AI-generated artwork exploring content moderation and human sensuality through censored images
  3. Apply for STORY x CODE, a residency program focusing on AI and Machine Learning in storytelling, filmmaking, and animation
Generative Arts Collective β€’ 65 implied HN points β€’ 28 Mar 23
  1. Generative AI models like ChatGPT can provide exciting creative uses for artists.
  2. Artists like Vera MolnΓ‘r integrated computer programming into their art, exploring mathematical patterns.
  3. New initiatives like #GenCodeCraft on OpenProcessing provide collaborative platforms for experimenting with generative art.
Critic at Large β€’ 19 implied HN points β€’ 15 Aug 23
  1. The MoMA displayed an artwork called "Unsupervised" by artist Refik Anadol, which uses AI to create constantly changing images based on data from 180,000 artworks and real-time external factors.
  2. Anadol's AI artwork, while technically impressive, lacks the depth and connection to traditional art that keeps viewers engaged and leaves them feeling unfulfilled.
  3. The comparison between Anadol's AI artwork and a traditional piece like Rothko's painting highlights the importance of human creativity and emotion in art that AI may struggle to replicate.
Cybernetic Forests β€’ 39 implied HN points β€’ 28 Aug 22
  1. Harold Cohen developed AARON in the 1970s, an AI program that co-created art with him, showcasing a unique relationship between the artist and the machine.
  2. Artists can infuse their spirit into tools and images, as seen in the Japanese textile tradition, emphasizing purpose and repetitive practice.
  3. Strategies for artist legibility within sophisticated image-making systems like DALLE2 involve using prompts, selections, and exploring the concept of feedback loops through repetition and variation.
escape the algorithm β€’ 39 implied HN points β€’ 21 Jun 22
  1. Text-based image generators are becoming advanced, creating unique visual outputs from simple descriptions.
  2. Creating AI-generated images can be a mesmerizing and addictive experience, channeling thoughts into visual form effortlessly.
  3. In a world where image creation is easy and abundant, the value of art and the essence of self-expression can be questioned.
Cybernetic Forests β€’ 19 implied HN points β€’ 06 Nov 22
  1. Photography rules shape how we see; AI photography requires composing multiple images to train models.
  2. AI photography focuses on continuity and variation in datasets over single images, contrasting with human instincts.
  3. AI photographers aim to create predictable outputs through training models with large datasets, reshaping how we perceive the world.
Cybernetic Forests β€’ 19 implied HN points β€’ 18 Sep 22
  1. The Game Genie introduced the idea that the invisible codes of software and society are changeable, inspiring a period of art crimes and hacking into perceived norms.
  2. AI art creation tools like DALLE2 can be viewed as game engines for art, setting rules within which artists create, illustrating the importance of navigating the boundaries between tools and personal expression.
  3. Artists have historically used tools like machinima and hacking to subvert and repurpose gaming structures for storytelling, highlighting the potential for AI art to evolve beyond prompt responses.
Cybernetic Forests β€’ 19 implied HN points β€’ 06 Sep 22
  1. Ben Laposky created early computer-generated art using oscilloscopes, demonstrating the blending of art and technology.
  2. The definition of AI has evolved over time, with different companies and eras defining it based on their needs.
  3. Artificial intelligence can be viewed as a product of relationships between components, like with the Cybernetic Tortoises, rather than just data-driven processes.