The sameness problem behind those unappetizing AI-generated menus
- ID
- 21353
- Status
- summarized
- Published
- 04 Sep 2026, 12:21 PM
- Fetched
- 04 Sep 2026, 12:27 PM
- Provider
- TechCrunch
- Category
- technology
- Original URL
- https://techcrunch.com/2026/09/03/the-sameness-problem-behind-those-unappetizing-ai-generated-menus/
- Source URL
- https://techcrunch.com/feed/
Summary
- Score
- 3.5
- Created
- 04 Sep 2026, 12:27 PM
- Tags
- Audience
- ai_ml_learnersvibe_coderssaas_founders
What happened
Restaurants are increasingly using AI-generated illustrations for menus, producing images that look subtly wrong—overly symmetrical, smooth, and generic. Reality Defender CTO Alex Lisle attributes this to diffusion models trained on narrow, 'pleasing' aesthetic datasets, causing a homogenized look across unrelated establishments.
Why it matters
If you build products that generate marketing or product imagery, expect users to increasingly notice and reject the 'sameness' aesthetic; differentiating output or offering more control over style may become a competitive factor rather than a nice-to-have.
Discussion angle
Whether the 'uncanny sameness' problem is a passing phase as models improve, or a structural limitation of how diffusion models are trained—and what that means for anyone shipping AI image generation features.