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Cool, and marginally informative on the current state of things. but kind of a waste of energy given everything is re-done every minute to compare. We'd probably only need a handful of each to see the meaningful differences.
Most look like they were done by a beginner programmer on crack, but every once in a while a correct one appears.
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!
LLMs are terrible for out-of-distribution (OOD) tasks. You should use chain of thought suppression and give constaints explictly. My prompt to Grok: --- Follow these rules exactly: - There are 13 hours, labeled 1–13. - There are 13 ticks. - The center of each number is at angle: index * (360/13) - Do not infer anything else. - Do not apply knowledge of normal clocks. Use the following variables: HOUR_COUNT = 13 ANGLE…
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The energy usage is minuscule.
It's wasteful. If someone built a clock out of 47 microservices that called out to 193 APIs to check the current time, location, time zone, and preferred display format we'd rightfully criticize it for similar reasons. In a world where Javascript and Electron are still getting (again, rightfully) skewered for inefficiency despite often exceeding the performance of many compiled languages, we should not dismiss the di…
But I presume you light up Christmas lights in December, drive to the theater to watch a movie or fire up a campfire on holiday. That too is "wasteful". It's not needed, other, or far more efficient ways exist to achieve the same. And in absolute numbers, far more energy intensive than running an LLM to create 9 clocks every minute. We do things to learn, have fun, be weird, make art, or just spend time.
Now, if Rolex starts building watches by running an LLM to drive its production machines or if we replace millions of wall clocks with ones that "Run an LLM every second", then sure, the waste is an actual problem.
Point I'm trying to make is that it's OK to consider or debate the energy use of LLMs compared to alternatives. But that bringing up that debate in a context where someone is creative, or having a fun time, its not, IMO. Because a lot of "fun" activities use a lot of energy, and that too isn't automatically "wasteful".
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!
Generate an image of a clock face, but instead of the usual 12 hour numbering, number it with 13 hours. Gemini, 2.5 Flash or "Nano Banana" or whatever we're calling it these days. https://imgur.com/a/1sSeFX7 A normal (ish) 12h clock. It numbered it twice, in two concentric rings. The outer ring is normal, but the inner ring numbers the 4th hour as "IIII" (fine, and a thing that clocks do) and the 8th hour as "VIIII"…
We have yet to design a language to cover that, and it might be just a donquijotism we're all diving into.
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This is really cool. I tried to prompt gemini but every time I got the same picture . I do not know how to share a session (like it is possible with Chatgpt) but the prompts were If a clock had 13 hours, what would be the angle between two of these 13 hours? Generate an image of such a clock No, I want the clock to have 13 distinct hours, with the angle between them as you calculated above This is the same image. The…
This is probably my biggest problem with AI tools, having played around with them more lately. "You're absolutely right! I made a mistake. I have now comprehensively solved this problem. Here is the corrected output: [totally incorrect output]." None of them ever seem to have the ability to say "I cannot seem to do this" or "I am uncertain if this is correct, confidence level 25%" The only time they will give up or r…
It is like they are sometimes stuck in a local energetic minimum and will just wobble around various similar (and incorrect) answers.
What was annoying in my attempt above is that the picture was identical for every attempt
Qwen 2.5's clocks, on the other hand, look like they never make it out of the womb.
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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.
That's great, but I bet it can't tie it's own shoes.