Can AI Write A striking example? the Limits of Algorithmic Creativity
By Michael Zeligs, MST | Start Motion Media Production Company

Can AI write a striking example?
AI can create technically advanced works, but it lacks emotional memory, self-awareness, and subjective intent—elements important to preparing a true artistic striking example. At present, AI is an rare creative assistant, not an autonomous new.

Immersion Begins: A Gallery in Berlin, Winter 2023

The gallery was cold—industrial modern with concrete walls and exposed ceilings. Centerstage: a portrait shimmering with 18th-century nuance, painted not by human hands but by machine. “Edmond de Belamy,” the AI-created portrait auctioned at Christie’s for over $432,000, hung under not obvious spotlighting. The atmoarea was charged—not with awe, but with cognitive dissonance.

Berlin-based artist Simone de Neve leaned in and whispered, “It’s beautiful—but it’s not haunted.” And there it is: the paradox of algorithmic creativity. Technical wonder, yes. Soul? Still missing.

Who—or What—Defines a striking example?

A striking example is not merely brilliant—it is exceedent. It reflects history, bleeds emotion, and distills identity into form. It’s not defined by perfection, but by presence—a visceral echo of the artist’s lived reality. Can machine outputs—but improved—hold such a presence?

Consider StyleGAN, the neural network capable of creating or producing an endless stream of photorealistic faces. although these images can astonish, they lack intent. There is no why, only what if.

From Algorithm to Art: How AI creates Creativity

AI creates art through technologies such as:

• Neural Networks: copyking the human brain to identify patterns.
• Generative Adversarial Networks (GANs): Two networks—one creating or producing, one judging—compete to produce realistic outputs.
• Transformer Models: Like GPT, they analyze immense datasets to create text, images, or music with startling fluency.

But none of these processes include emotion, trauma, memory, or longing. AI “learns” art from massive data corpora—but doesn’t live art.

What Makes Human Art Human?

Let’s revisit Van Gogh—not for his brushstrokes, but for his breakdowns. His work is not celebrated only for its style, but for its vulnerability. In contrast, AI art doesn’t ache. It doesn’t grieve. And it certainly doesn’t hope.

Elie Wiesel’s “Night” was not composed by algorithms—it was carved from scars. Emotion is not an add-on to artistic merit; it is the marrow of it.

The Case for joint effort: AI as a Tool, Not a Threat

This doesn’t mean AI has no place in art. It’s Awakening workflows across creative industries:

• Beeple’s $69 million “Everydays” employed effectively and generative tools to compile 5,000 artworks into a visual odyssey.
• Filmmakers use RunwayML to create backgrounds, morph faces, and automate complex effects.
• Writers employ tools like Sudowrite to open up creative blocks and suggest story arcs.

AI, when used intentionally, becomes an extension of human imagination—not a replacement for it.

Legal and Ethical Murk: Who Owns AI-Created Art?

Legal systems globally are scrambling to address the question of ownership. According to the U.S. Copyright Office:

• Fully autonomous AI creations are not copyrightable.
• Human-guided AI art can be protected, but only for the human-authored portions.

Artists are also concerned with AI models scraping their work without permission. Style copyry without attribution is not inspiration—it’s exploitation. The conversation on copyright and consent is just beginning.

The Illusion of Emotion: AI’s Hollow Echo of Humanity

AI can produce emotive phrases or images—”the stars blinked like dying dreams”—but it doesn’t know death or dreams. It copys tone. It interpolates themes. But it lacks lived stakes.

As neuroaestheticist Dr. Ava Seldon states:
“The algorithm may know every brushstroke of Rembrandt, but it has never longed for a lover who wouldn’t return home.”

That absence of memory, of stakes, of mortality—places a ceiling on what AI can currently achieve artistically.

When Machines Write: GPT-3’s Foray into Literature

In 2021, The Atlantic published a short story created mostly by GPT-3. It had rhythm, voice, even metaphor. But it lacked connective tissue—the quiet threads of setting, insight, and existential tension that make fiction feel true.

Critic Jennifer Hauser noted, “It’s haunting—because no one is home.” Readers sensed a void, a missing heartbeat. story cohesion isn’t enough; emotional truth is non-negotiable.

Deepfakes and the Ethics of copyd Art

With power comes danger. Generative AI also fuels deepfake media and misinformation, making it possible to copy anyone’s likeness or voice with terrifying accuracy.

Art imitates life—but deepfakes imitate with malicious intent. This is not the expansion of creative frontiers but the erosion of trust. Artists and ethicists alike are sounding alarms.

Human vs. AI Creativity: A Side-by-Side Comparison

Can Machines Dream? Machine Imagination

New research in machine imagination, such as “dreaming” algorithms and latent diffusion models, offers sees into how AI might copy fantasy. Projects like Google DeepMind’s “Dreamer” peer into AI that learns from pictured subsequent time aheads.

Yet even these imaginative systems lack a important part: consequence. Dreams matter to humans because they risk becoming reality. AI’s “dreams” are purely hypothetical.

New views: Voices from the Frontlines

Dr. Soraya Murray, Art + Tech professor at UC Santa Cruz:
“What AI offers is a mirror—not a muse. It reflects our histories and biases. But it doesn’t guide us forward.”

Konstantinos Vrettos, Chief Data Scientist at Artivive:
“We’re not replacing artists. We’re Growing your the tools available for artistic dialogue. And yes—machines can surprise us.”

The Metaverse and the Rise of Synthetic Artists

In almost worlds like Decentraland and Somnium Space, AI-created avatars are creating, selling, and even carefully selecting art. The blending of blockchain, generative art, and spatial computing suggests a subsequent time ahead where the definition of artist becomes fluid, even distributed.

But again—tools abound. It’s the storyteller who matters.

The Philosophy of Why We Create

We create not to output, but to understand. Art is a way to settling an issue inner tension, for articulating what can’t be said aloud. That drive doesn’t exist in machines. AI may copy expression, but it cannot feel catharsis.

The greatest striking examples endure not because of how they were made, but why.

Our Editing Team is Still asking these Questions

Can AI write a real striking example?
Not in the long-createed and accepted sense. although AI can produce advanced works, it lacks the inner world necessary to create emotionally authentic, classic art.

Who owns AI-created art?
In most countries, only human-created or human-assisted works are copyrightable. Fully autonomous AI creations remain in a legal gray zone.

Will AI replace human artists?
No. AI improves workflows but lacks the subjective depth, emotional memory, and intentionality that define human artistry.

Can AI feel emotion?
AI can copy emotional language and structure, but it doesn’t experience emotions—making its outputs hollow in further expressive terms.

What role will AI play in what's next for art?
AI will likely act as a co-creator, collaborator, and generative tool—but not as the autonomous heart of artistic Rapid Growth.

Are there dangers to AI in creative fields?
Yes. Issues of plagiarism, deepfakes, and misinformation threaten artistic integrity and societal trust if left unregulated.

Is AI creativity ethical?
When used clearly and respectfully—with human oversight—it can be ethical. But lack of consent in training datasets and bias issues must be addressed.

definitive Brushstroke: The Dialogue Between Mind and Machine

striking examples are not born from perfection—they are born from pressure, paradox, and persistence. Until AI can carry the weight of memory, trauma, and hope, it will remain a amazing copy—not a mystic.

Let us Get Familiar With AI for what it is: a powerful extension of imagination. But let’s not confuse the machine’s mirror with the human muse.

what's next for art isn’t about man versus machine—it’s about what we create together.

Michael Zeligs, MST
Start Motion Media Production Company

START MOTION MEDIA: Popular

To make matters more complex research papers

• “AI and Art: Navigating Algorithmic Imagination” – An sharp look at AI’s potential to redefine artistic boundaries.
• “Generative Art: AI Art and Computational Creativity” – A scholarly research paper of the methodologies behind AI-generated art.
• “The Ethical Dilemmas of AI in the Arts” – A discussion on the moral implications of AI’s influence in artistic spheres.
• “AI: The Digital Artists Changing the Space” – Profiles of artists harmonizing with AI adding artistic horizons.
• “Artistic Agency: The Human-AI Collaboration” – Examines the harmonious confluence and tension in human and AI co-creations.