Viral Post Embarrassingly Exposes AI Haters 💀
A social media account falsely labeled a real Monet painting as AI-generated on X, prompting critics to extensively explain why it lacked soul and quality. The experiment exposed how bias against AI art led people to confidently criticize a genuine masterpiece. The incident highlights how preconceived notions can distort people's perception and judgment.
Summary
A social media account on X posted an image of a real Monet painting but deliberately mislabeled it as AI-generated by checking the 'made with AI' tag, which is simply a checkbox feature on the platform that does not verify whether content is actually AI-generated. The account challenged followers to describe in as much detail as possible what made the image inferior to a real Monet painting.
Despite the image being a genuine Monet, virtually everyone who responded fell into the trap, offering elaborate critiques explaining why the painting lacked soul, why the colors were wrong for Monet, and various other detailed reasons why the art felt soulless or inauthentic. None of the critics recognized it as a real Monet.
The video presenter uses this incident to argue that AI art critics embarrassed themselves by confidently and extensively criticizing a real masterpiece simply because they believed it was AI-generated. The experiment demonstrates that bias against AI art can override actual visual perception and artistic judgment, leading people to construct false narratives to support their preexisting conclusions.
Key Insights
- The account exploited X's 'made with AI' checkbox feature, which simply adds a label without verifying whether the content is actually AI-generated, to falsely tag a real Monet painting.
- Critics on X provided elaborate, confident explanations for why the painting lacked soul and failed to resemble a real Monet, despite it being a genuine Monet painting.
- Commenters specifically claimed the colors were wrong for what Monet would have used, demonstrating how bias led them to make factually incorrect artistic assessments.
- The presenter argues that virtually everybody who responded fell for the trick, suggesting the bias against AI art was near-universal among those who commented.
- The incident is framed by the presenter as an embarrassing exposure of AI art critics, as they collectively condemned a real masterpiece as soulless based solely on a false AI label.
Topics
Transcript
[0:00] So, this account put this image up on X and said, "I just generated an image in the style of a Monae painting using AI. Please describe in as much detail as possible what makes this inferior to a real Monae painting." Now, the funny thing is this is a real Monae painting. They just said that they generated it and they added the made with AI tag, which is just a check box in X. You just check a made with AI box and it adds that to it, even if it wasn't really made with AI. And pretty much everybody on X explained why it didn't look like a Monae at all and how it lacked soul…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Matt Wolfe
The ONLY AI Benchmark You Need!
A developer created "Buccy Bench," a humorous yet functional AI benchmark that tasks different language models with drawing Gary Busey as SVG code rather than images. The benchmark tracks model evolution over time while measuring performance metrics like cost, tokens, and execution speed.
GLM-5.2 - The Open Model That's As Good As Opus!
A comprehensive review of GLM-5.2, an open-weight Chinese AI model with a 1 million token context window, demonstrating its capabilities for coding, document analysis, and agentic workflows at significantly lower costs than frontier models like Claude Opus and GPT-4.5. The speaker tests various use cases including website building, Chrome extensions, game development, and data organization, concluding it's valuable for long, code-heavy, token-expensive tasks despite not universally outperforming closed-source alternatives.
Don't Fall For This AI Trap
The speaker emphasizes that power users distinguish themselves by knowing what NOT to automate with AI, rather than automating everything. They argue that AI works best for clear, straightforward tasks but struggles with nuanced, artistic work requiring consistency—using their failed YouTube thumbnail automation as an example.
AI News: Fable Banned, New Open-Source Leader, Midjourney Shocker
This AI news roundup covers the US government forcing Anthropic to shut down its Fable 5 and Mythos 5 models due to a security vulnerability jailbreak, the release of a competitive open-source model GLM 5.2 by ZAI, and MidJourney's surprising pivot into medical imaging technology with a new ultrasound-based body scanner.
AI News: Claude's Massive Leap & Siri Gets Good!?
This AI news roundup covers the release of Claude Fable 5 (a Mythos-tier model from Anthropic) and its controversial safety restrictions, Apple's WWDC AI announcements including a major Siri overhaul, and updates from Google including NotebookLM upgrades and real-time translation. Additional rapid-fire items include OpenAI and SpaceX IPO filings, ChatGPT email sending, and a teased Midjourney hardware device.