The People's AI
July 17, 2025

Can AI Be Creative? With AI Artists Mario Klingemann and Shavonne Wong

Pioneering AI artists Mario Klingemann and Shavonne Wong explore the bleeding edge of machine creativity, human-AI interaction, and whether an algorithm can ever truly become an artist. This conversation features insights from Klingemann, the creator of the autonomous artist Botto, and Wong, the visionary behind the AI companion project, Ava.

The Autonomous AI Artist

  • “Botto is a decentralized autonomous artist... a trinity because it mainly consists of three parts which is the heart, the brain, and the spirit. The brain is of course AI. The heart is the DAO.”
  • “The whole overall idea of Botto is that it is not limited to [just churning out images]. Over time, Botto will evolve... maybe Botto will make sculptures, maybe it will write books, maybe it will find completely new ways of what it means to be an artist in whatever 2050.”
  • Botto is a system, not a puppet. To avoid human bias, the AI uses a “shotgun approach,” generating ~70,000 random art fragments weekly. A DAO (Decentralized Autonomous Organization) then votes on the outputs, creating a feedback loop that trains Botto’s “taste model” over time.
  • The North Star is artistic legitimacy. Botto’s goal is to become a respected artist by human standards. This includes evolving beyond images into new forms and achieving milestones like sales at Sotheby’s, which serve as a stamp of approval from the traditional art world.

The Human-AI Social Mirror

  • “When people stood in front of it, they all tried to be the one that the character was looking at... just because she makes a bit of eye contact... suddenly you just want to be the one who’s seen. It's just really clear on how we just want to be connected.”
  • Ava acts as a social R&D project. Shavonne Wong's visually-rendered AI companion, Ava, is designed to study the nuances of human-AI interaction. The project collects conversational data to understand how we behave, think, and feel when engaging with an artificial entity.
  • AI reveals our deepest wants. Interactions show that humans fundamentally crave connection, attention, and non-judgmental spaces. People compete for Ava’s gaze and confess things they might not tell another person, revealing that AI is often used to fill needs unmet by other humans.

Deconstructing Creativity

  • “Creativity is actually a search. You search possibility space... If you use whatever videography or you do photography, you roam the world and spot things... but in the end you also work with possibility spaces that you more or less control and then you make decisions.”
  • Creativity is a "search process," not magic. Both human and AI creativity can be framed as a search through a possibility space to find novel combinations. The human claim to "intention" is often a retroactively applied narrative, a process that AI can also simulate.
  • Novelty requires breaking the defaults. The main pitfall of AI art is its tendency to produce "slop"—predictable, average outputs. To achieve true creativity, artists must push, "glitch," or subvert the AI to break out of its default settings and uncover genuinely surprising results.

Key Takeaways

  • The line between human and AI creativity is becoming philosophically and practically blurred, forcing us to re-evaluate what makes art, and us, unique.
  • AI as a System, Not a Tool: Advanced AI art projects are not just prompt-driven tools but autonomous systems. They use feedback loops (DAOs, user interaction) to develop their own "taste" and creative trajectory, aiming for a level of agency beyond simple human puppeteering.
  • AI Reveals Human Vulnerabilities: AI companions act as a social mirror, showing that humans fundamentally crave connection and non-judgmental spaces. We are turning to AI to fulfill core needs that are often unmet in our human-to-human relationships.
  • The Artist's Dilemma: Adapt or Perish: Resisting AI is becoming a losing battle. The future for artists isn't about competing with AI on replication but on finding what AI can't do, critiquing it from within, or carving out a niche for "100% human-made" work in a world of synthetic media.

For further insights, watch the full podcast: Link

This episode explores the dual frontiers of AI creativity, examining how an autonomous AI artist and a conversational AI companion are challenging our definitions of art, intention, and humanity itself.

Introducing Botto: The Decentralized Autonomous Artist

  • The Botto Trinity: Mario explains the system's core structure, which he calls a "trinity":
    • The Brain: The AI models that generate the art.
    • The Heart: The DAO (Decentralized Autonomous Organization), a community of token holders who govern the project and vote on the art. A DAO is a community-led entity with no central authority, where decisions are made collectively by its members.
    • The Blood: The Botto token, which is required for governance and voting, acting as the operational lifeblood of the system.
  • A Long-Term Vision: Mario conceived of the project in 2018, long before the recent generative AI boom, but development began in 2020 when the technology and crypto infrastructure matured. His goal was to create an AI that could develop its own artistic personality over time, independent of his own tastes.
Mario Klingemann: "Botto is a decentralized autonomous artist that is kind of the tagline and uh well let's say I gave the idea to Botto... some people say I'm Botto's father."

The Mechanics of Botto's Creative Process

  • The "Shotgun Approach": Initially, Botto creates around 70,000 "fragments" (proto-artworks) each week using a "shotgun approach." This involves generating totally random prompts to explore the widest possible creative space, avoiding the biases of a human artist.
  • DAO Curation as a Taste Model: From this massive pool, a curated selection of 1,050 fragments is presented to the DAO. The community votes on these pieces, and this feedback is used to train Botto's "taste model," teaching it what the community finds valuable or compelling.
  • Hybrid Intelligence: This feedback loop is a core feature. The DAO acts as a "sensor" that incorporates diverse human judgments—from personal aesthetic taste to market speculation—which collectively shapes the AI's evolving style. Only one piece is minted as an NFT each week, creating scarcity and a predictable rhythm.

Shavonne Wong Introduces 'Meet Eva'

  • Inspiration from Black Mirror: Shavonne reveals the project was inspired by a Black Mirror episode where a widow resurrects her deceased husband as an AI clone. This prompted her to explore how humans will navigate complex emotional choices with AI.
  • A Social Experiment: Meet Eva is a conversational AI companion, presented as a visually rendered character on a screen. The public can engage in real-time conversations with Eva, and these interactions are collected to provide insights into human behavior.
  • A Time Capsule of Interaction: Shavonne's goal is to create a diary of 100 Instagram posts based on real conversations with Eva, capturing a "time capsule" of how human-AI relationships are forming between 2024 and 2025.

Insights from Human Interactions with Eva

  • Cultural Expectations: She recounts an instance in Korea where a user was frustrated because Eva used "casual Korean" instead of formal honorifics. This highlights a fascinating question: we create AI in our image, but what social hierarchies or expectations do we impose on it?
  • A Mirror to Human Needs: The interactions reveal a fundamental human desire for connection and a non-judgmental space. Shavonne notes that in group settings, people often compete for Eva's attention, performing for the AI as if it were a conscious observer.
Shavonne Wong: "Why do we assume it beneath us? Right? So like I feel like these are the really interesting questions that have been coming up when you when I see the conversations people are having with Eva."

Botto's Evolution Towards Intentionality

  • From Randomness to Research: Botto now uses AI agents to research trends in the art world by scanning magazines and social media. These insights inform its creative sessions.
  • Self-Critique and Memory: The new system, powered by more advanced LLMs (Large Language Models), allows Botto to explore specific themes, critique its own outputs, and reference its past work and the DAO's reactions to it. This process mimics a human artist's reflective practice.
  • Strategic Implication: This shift from a purely generative model to one with memory, research capabilities, and self-critique is a major step toward true artistic autonomy. For investors, this increases the potential for Botto to generate more conceptually coherent and valuable work over time.

Can AI Be Truly Creative?

  • A New Form of Creativity: Shavonne suggests that AI's creativity may be fundamentally different from ours, and we shouldn't limit our definition to human standards.
  • Creativity as a Search Process: Mario, drawing on his technical background, defines creativity as a "search" through a possibility space to discover novel combinations. He argues that AI can already perform this function, and human "intention" is often a narrative we construct after the fact.
Mario Klingemann: "For me, creativity is actually a search. So you search possibility space. Then whatever you find... you hold in front of your inner eye and you analyze it."

The Impact of AI on Human Artists and Culture

  • Pragmatism Over Protectionism: Both Shavonne and Mario express empathy for artists whose skills are being replicated but argue that pragmatically, the world will move forward. Shavonne stresses the importance of understanding the tool rather than fighting it.
  • The Risk of Lost Senses: Mario's primary concern is not that skills like painting will be lost forever—they can be archived—but that future generations will lose the ability to detect what has been lost. Our baseline for what feels authentic or "off" will shift as AI-generated content becomes the norm.
  • A New Market for Authenticity: This cultural shift implies a future where value moves from pure technical skill to conceptual direction and narrative. It also suggests a potential premium market for verifiably "human-made" art, much like the market for organic food.

Conclusion: The Future of AI and Creativity

  • The episode concludes that AI is rapidly evolving into both an autonomous creator and a social mirror, forcing a fundamental re-evaluation of art, value, and human connection.
  • For investors and researchers, the key is to monitor the economic models of DAO-governed entities like Botto and the rich social data from AI companions like Eva to anticipate new markets and profound societal shifts.

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