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AI World Clocks

clocks.brianmoore.com

41–50 of 404 posts

Re: AI World Clocks

#43

Since the first (good) image generation models became available, I've been trying to get them to generate an image of a clock with 13 instead of the usual 12 hour divisions. I have not been successful. Usually they will just replace the "12" with a "13" and/or mess up the clock face in some other way. I'd be interested if anyone else is successful. Share how you did it!

That's just a patch to the training data.

Once companies see this starting to show up in the evals and criticisms, they'll go out of their way to fix it.

Re: AI World Clocks

#46

Since the first (good) image generation models became available, I've been trying to get them to generate an image of a clock with 13 instead of the usual 12 hour divisions. I have not been successful. Usually they will just replace the "12" with a "13" and/or mess up the clock face in some other way. I'd be interested if anyone else is successful. Share how you did it!

That's because they literally cannot do that. Doing what you're asking requires an understanding of why the numbers on the clock face are where they are and what it would mean if there was an extra hour on the clock (ie that you would have to divide 360 by 13 to begin to understand where the numbers would go). AI models have no concept of anything that's not included in their training data. Yet people continue to ant…

It's interesting because if you asked them to write code to generate an SVG of a clock, they'd probably use a loop from 1 to 12, using sin and cos of the angle (given by the loop index over 12 times 2pi) to place the numerals. They know how to do this, and so they basically understand the process that generates a clock face. And extrapolating from that to 13 hours is trivial (for a human). So the fact that they can't do this extrapolation on their own is very odd.

Re: AI World Clocks

#47
In any case those clocks are all extremely inaccurate, even if AI could build a decent UI (which is not the case).

Some months ago I published this site for fun: https://timeutc.com There's a lot of code involved to make it precise to the ms, including adjusting based on network delay, frame refresh rate instead of using setTimeout and much more. If you are curious take a look at the source code.

Re: AI World Clocks

#48

Since the first (good) image generation models became available, I've been trying to get them to generate an image of a clock with 13 instead of the usual 12 hour divisions. I have not been successful. Usually they will just replace the "12" with a "13" and/or mess up the clock face in some other way. I'd be interested if anyone else is successful. Share how you did it!

That's because they literally cannot do that. Doing what you're asking requires an understanding of why the numbers on the clock face are where they are and what it would mean if there was an extra hour on the clock (ie that you would have to divide 360 by 13 to begin to understand where the numbers would go). AI models have no concept of anything that's not included in their training data. Yet people continue to ant…

gpt-image-1 and Google Imagen understand prompts, they just don't have training data to cover these use cases.

gpt-image-1 and Imagen are wickedly smart.

The new Nano Banana 2 that has been briefly teased around the internet can solve incredibly complicated differential equations on chalk boards with full proof of work.

Re: AI World Clocks

#49
post #30

These types of tests are fundamentally flawed. I was able to create perfect clock using gemini 2.5 pro - https://gemini.google.com/share/136f07a0fa78

The website is regenerating the clocks every minute. When I opened it, Gemini 2.5 was the only working one. Now, they are all broken.

Also, your example is not showing the current time.

Re: AI World Clocks

#50
post #30

These types of tests are fundamentally flawed. I was able to create perfect clock using gemini 2.5 pro - https://gemini.google.com/share/136f07a0fa78

I don't think this is a serious test. It's just an art piece to contrast different LLMs taking on the same task, and against themselves since it updates every minute. One minute one of the results was really good for me and the next minute it was very, very bad.
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