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Lol. I tried doing some image generation with SOTA models. I explicitly asked it not to do something it was doing and it would literally do the thing, and strai
by slopinthebag 8mo ago
Lol. I tried doing some image generation with SOTA models. I explicitly asked it not to do something it was doing and it would literally do the thing, and straight up tell me it didn't.
Unless someone has a cognitive impairment it's just simply not a failure mode of cooperative humans. Same with hallucinations. Both humans and AI can be wrong, but a human has the ability to admit when they don't understand or know something, AI will just make it up.
I don't understand why people would ever trust anything important to something with the same failure mode as AI. It's insane.
- astrange 8mo agoImage generation models are usually not LLMs. Only Nano Banana Pro is capable of following negative directions like that.
- nunez 8mo agoNot in my experience. I asked nb to create a transparent rectangle shape and gave it RGB hex for the fill. It created the box but put the hex as text inside of it and used a checkerboard for its background. When I told it that the image wasn't transparent, it wouldn't budge!
- astrange 8mo agoOh yeah, they don't know what "transparent" means. Most of them generate the Photoshop checkerboard background. They also don't know "upside-down". There isn't much R&D going into image models and what you're getting is scraps from labs that care more about other things. NBP is the closest to a reasoning image generator we have.
- layla5alive 8mo agoNot very capable, though. It's incredibly hard to get it to fix mistakes and not double down/lie. Creating a new context window and trying again is easier - but I've not had a lot of success getting it to do the thing that isn't obvious to it.