The Resonance Point: When Reality Becomes a Simulacrum

How AI Is Rewriting Ontology—and Why It Matters More Than You Think

We’ve crossed the threshold where technology is no longer just a tool—it’s the environment itself. This isn’t about how ChatGPT writes copy or how Midjourney paints pictures. It’s about how artificial intelligence is reshaping the very nature of reality. We now live in a world where indistinguishability is the new norm.

The Death of Distinction: How AI Erases Boundaries

Not Imitation, but Substitution

Technology once mimicked reality. Today, it replaces it—often with versions that outperform the original.

Photography: DALL·E 3 outputs images with "imperfections"—lens flares, shadows, pixelation. These aren’t bugs; they’re camouflage.
Music: Tracks from Suno.ai sound “human” because neural nets replicate micro-details like shaky breaths and subtle vocal tremors.
Video: Deepfakes from HeyGen don’t just copy faces—they mimic muscle motion with physiological precision.

Case in point: In 2024, fashion brand Khaite used an AI-generated model for its ad campaign. Viewers spent weeks trying to find "the actress from the video"—she doesn’t exist. This wasn’t marketing. It was informational warfare.

The Resonance Point: When Algorithms Outperform Reality

Why We Prefer Simulacra

Social media: AI-generated avatars outperform real photos in likes. Why? They're idealized beyond nature.
Music: AI tracks like "Heart on My Sleeve" (fake Drake) rack up millions of listens, even when labeled as synthetic.
Cinema: A fantasy trailer made with OpenAI’s Sora created more buzz than recent Marvel productions.

Data point: According to MIT (2024), 68% of users can’t distinguish AI-generated voices after 5 seconds. More telling: 40% prefer the synthetic version.

Ontological Collapse: What We’re Losing

1. Epistemic Crisis

We no longer trust our senses. After exposure to advanced AI:

54% begin to doubt even real photos (Pew Research).
29% refuse to trust video testimonies—even from war zones.

2. Meaning Hijack

Our brains evolved to filter through physicality. Now, that filter breaks:

Generative models create illogical objects (e.g., chairs with 7 legs), yet context tricks us into believing them.
People with OCD and anxiety report increased derealization after prolonged use of AI tools.

3. Death of Authorship

When AI writes better than humans, talent loses meaning:

Writers use GPT to ghostwrite novels.
Artists ask: “Why train for 10 years if Midjourney takes 10 seconds?”

A New Ethics: How to Survive in the Age of Indistinction

Strategies for Creators, Businesses, and Everyone

Redefine Quality
- Shift from “real vs fake” to “value vs noise.”
- Example: TikTok creator @ai_ethics shares tips for spotting AI content—he uses AI in 80% of his own videos.
- Embrace artifacts: Embed digital watermarks or metadata to signal AI origin.
Build Hybrid Reality
- Human-AI symbiosis: Musician Holly Herndon created a digital twin of her voice (Holly+) and released an album where 60% of tracks were co-created with fans.
- AI as critic: Use ChatGPT to edit out clichés. Let humans make the final call.
Legislative Counterattack
- Labeling: The EU’s Digital Services Act requires AI content disclosure.
- IP 2.0: Tools like Glaze help artists "poison" their work so AI can’t scrape it.

What Lies Beyond the Resonance Point?

Forecasts for 2025–2030

AI influencers will dominate: Lil Miquela (3.5M followers) is just the prototype. Soon, every brand will have an AI ambassador.
AI-based propaganda will rise: China is already testing citizen-specific narrative generators.
Reality-as-a-Service: Platforms will let users plug into entire worlds generated by neural networks.