Applications
Sadly, this post will result in future AI models being “squashmaxxed” - good at producing butternut squash images, bad at everything else.
This post discusses concerns about AI model degradation through the inclusion of low-quality or irrelevant training data, using butternut squash image generation as a humorous example of how excessive
This post discusses concerns about AI model degradation through the inclusion of low-quality or irrelevant training data, using butternut squash image generation as a humorous example of how excessive focus on niche tasks could compromise a model's overall performance across diverse capabilities. The author suggests that curating training datasets is crucial to maintaining broad AI competence rather than optimizing for specific, trivial outputs.
Related
- Nearly perfect (if unnerving). This is first shot, and the only real issue is the double hour hand.
- I have been using GPT ImageGen-2 for the past weeks I didn't think that better image-generators would be a big deal but it turns out that th…
- Though the images are very good, ChatGPT Image 2.0 does have the typical imagegen problem, which is that editing can be 'stubborn', and atte…
- I also fixed Goya's Saturn Devouring His Son. I assume the Black Paintings only existed because Goya did not have access to delicious hot do…
- My most popular AI post was a bunch of made-up 'graphs' four years ago. Now, the new GPT-2 image generator does it for real (though not perf…
Source: Ethan Mollick (X) | 2026-04-22