AI World Clocks (clocks.brianmoore.com)

Thank you very much.... It was a fun game until I got to the prompt

Place a baby elephant in the green chair

I cannot unsee what I saw and it is 21:30 here so I have an hour or so to eliminate the picture from my mind or I will have nightmares.

Napkin math:

9 AIs × 43,200 minutes = 388,800 requests/month

388,800 requests × 200 tokens = 77,760,000 tokens/month ≈ 78M tokens

Cost varies from 10 cents to $1 per 1M tokens.

Using the mid-price, the cost is around $50/month.

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Hopefully, the OP has this endpoint protected - https://clocks.brianmoore.com/api/clocks?time=11:19AM

I sort of assumed they cached like 30 inferences and just repeat them, but maybe I'm being too cynical.

If they can identify which one is correct, then it's the same as always being correct, just with an expensive compute budget.

I've noticed that image models are particularly bad at modifying popular concepts in novel ways (way worse "generalization" than what I observe in language models).

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 anthropomorphize this technology and are surprised when it becomes obvious that it's not actually thinking.

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.

LLMs are terrible for out-of-distribution (OOD) tasks. You should use chain of thought suppression and give constaints explictly.

My prompt to Grok:

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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_PER_HOUR = 360 / 13 // 27.692307°

Use index i ∈ [0..12] for hour marks:

angle_i = i * ANGLE_PER_HOUR

I want html/css (single file) of a 13-hour analog clock.

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Output from grok.

https://jsfiddle.net/y9zukcnx/1/

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. There need to be 13 hour marks around the dial, evenly spaced

... And its last answer was

You are absolutely right, my apologies. It seems I made an error and generated the same image again. I will correct that immediately.

Here is an image of a clock face with 13 distinct hour marks, evenly spaced around the dial, reflecting the angle we calculated.

And the very same clock, with 12 hours, and a 13th above the 12...

  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" (wtf).

Weird, I never tried that, I tried all the usual tricks that usually work including swearing at the model (this scarily works surprisingly well with LLMs) and nothing. I even tried to go the opposite direction, I want a 6 hour clock.

I've been trying for the longest time and across models to generate pictures or cartoons of people with six fingers and now they won't do it. They always say they accomplished it, but the result always has 5 fingers. I hate being gaslit.

I gave this "riddle" to various models:

> The farmer and the goat are going to the river. They look into the sky and see three clouds shaped like: a wolf, a cabbage and a boat that can carry the farmer and one item. How can they safely cross the river?

Most of them are just giving the result to the well known river crossing riddle. Some "feel" that something is off, but still have a hard time to figure out that wolf, boat and cabbage are just clouds.

Ah! This is so sad. The manager types won't be able to add an hour (actually, two) to the day even with AI.

I was able to have AI generate an image that made this, but not by diffusion/autoregressive but by having it write Python code to create the image.

ChatGPT made a nice looking clock with matplotlib that had some bugs that it had to fix (hours were counter-clockwise). Gemini made correct code one-shot, it used Pillow instead of matplotlib, but it didn't look as nice.

I do playing card generation and almost all struggle beyond the "6 of X"

My working theory is that they were trained really hard to generate 5 fingers on hands but their counting drops off quickly.

Imagine if I asked you to draw as pixels and operate a clock via html or create a jpeg with a pencil and paper and have it be accurate.. I suspect your handcoded work to be off by an order of magnitutde compared