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You're incorrect. 4o was not trained on knowledge of itself so literally can't tell you that. What 4o is doing isn't even new either, Gemini 2.0 has the same capability.
Can you provide a link or screenshot that directly backs this up?
Asking it to draw the Balkans map in Tolkien style, this is actually really impressive, geography is more or less completely correct, borders and country locations are wrong, but it feels like something I could get it to fix.
I'm not saying that it's not true, it's just "wait and see" before you take their word as gold.
I think MS's claim on their quantum computing breakthrough is the latest form of this.
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> truly generative UI, where the model produces the next frame of the app Please sir step away from the keyboard now! That is an absurd proposition and I hope I never get to use an app that dreams of the next frame. Apps are buggy as they are, I don't need every single action to be interpreted by LLM. An existing example of this is that AI Minecraft demo and it's a literal nightmare.
This argument could be made for every level of abstraction we've added to software so far... yet here we are commenting about it from our buggy apps!
What's important about this new type of image generation that's happening with tokens rather than with diffusion, is that this is effectively reasoning in pixel space. Example: Ask it to draw a notepad with an empty tic-tac-toe, then tell it to make the first move, then you make a move, and so on. You can also do very impressive information-conserving translations, such as changing the drawing style, but also stuff l…
>You can also do very impressive information-conserving translations, such as changing the drawing style, but also stuff like "change day to night", or "put a hat on him", and so forth. You can do that with diffusion, too. Just lock the parameters in ComfyUi.
My experience with these announcements is that they're cherry picking the best results from a maybe several hundred or a thousand prompts. I'm not saying that it's not true, it's just "wait and see" before you take their word as gold. I think MS's claim on their quantum computing breakthrough is the latest form of this.
My experience with these announcements is that they're cherry picking the best results from a maybe several hundred or a thousand prompts. I'm not saying that it's not true, it's just "wait and see" before you take their word as gold. I think MS's claim on their quantum computing breakthrough is the latest form of this.
it’s rolling out to users on all tiers, so no need to wait. I tried it and saw outputs from many others. it’s good. very good
That's why I prefer to wait.
What's important about this new type of image generation that's happening with tokens rather than with diffusion, is that this is effectively reasoning in pixel space. Example: Ask it to draw a notepad with an empty tic-tac-toe, then tell it to make the first move, then you make a move, and so on. You can also do very impressive information-conserving translations, such as changing the drawing style, but also stuff l…
> truly generative UI, where the model produces the next frame of the app I built this exact thing last month, demo: https://universal.oroborus.org (not viable on phone for this demo, fine on tablet or computer) Also see discussion and code at: http://github.com/snickell/universal I wasn't really planning to share/release it today, but, heck, why not. I started with bitmap-style generative image models, but because t…
If you end up taking this further and self hosting a model you might actually achieve a way faster “frame rate” with speculative decoding since I imagine many frames will reuse content from the last. Or maybe a DSL that allows big operations with little text. E.g. if it generates HTML/SVG today then use HAML/Slim/Pug: https://chatgpt.com/share/67e3a633-e834-8003-b301-7776f76e09...