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AI World Clocks

clocks.brianmoore.com

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Re: AI World Clocks

#161
post #143

Earlier quoted context omitted.

CSS animation. It's not the real time. Just a hypothetical time.

I’m imagining some must be using JS because I’m seeing (rarely…) times that are perfectly correct.

Actually you're right. If you view source, you can see `const response = await fetch(`/api/clocks?time=${encodeURIComponent(localTime)}`);`. I'm not sure how that API works, but it's definitely reading the current time using JS, then somehow embedding it in the HTML / CSS of each LLM.

Re: AI World Clocks

#164
post #82

Amazing, some people are so enamored with LLMs who use them for soft outcomes, and disagree with me when I say be careful they're not perfect -- this is such a great non technical way to explain the reality I'm seeing when using on hard outcome coding/logic tasks. "Hey this test is failing", LLM deletes test , "FIXED!"

Yeah it seems crazy to use LLM on any task where the output can't be easily verified.

Re: AI World Clocks

#165

LLMs can't "look" at the rendered HTML output to see if what they generated makes sense or not. But there ought to be a way to do that right? To let the model iterate until what it generates looks right. Currently, at work, I'm using Cursor for something that has an OpenGL visualization program. It's incredibly frustrating trying to describe bugs to the AI because it is completely blind. Like I just wanna tell it "th…

Cursor has this with their "browser" function for web dev, quite useful

You can also give it a mcp setup that it can send a screenshot to the conversation, though unsure if anyone made an easy enough "take screenshot of a specific window id" kind of mcp, so may need to be built first

I guess you could also ask it to build that mcp for you...

Re: AI World Clocks

#167

Watching this over the past few minutes, it looks like Kimi K2 generates the best clock face most consistently. I'd never heard of that model before today! Qwen 2.5's clocks, on the other hand, look like they never make it out of the womb.

my GPT-40 was 100% perfect on the first click. Since then, garbage. Gemini 2.5 perfect on the 3rd click.

Re: AI World Clocks

#168

LLMs can't "look" at the rendered HTML output to see if what they generated makes sense or not. But there ought to be a way to do that right? To let the model iterate until what it generates looks right. Currently, at work, I'm using Cursor for something that has an OpenGL visualization program. It's incredibly frustrating trying to describe bugs to the AI because it is completely blind. Like I just wanna tell it "th…

Claude totally can, same with ChatGPT. Upload a picture to either one of them via the app and tell it there's no line where there should be. There’s some plumbing involved to get it to work in Claude code or codex, but yes, computers can "see". If you have lm-server, there's tons of non-text models you can point your code at.

Re: AI World Clocks

#170

Earlier quoted context omitted.

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…

I agree, I see the same even in simple code where they will bend backwards apologizing and generate very similar crap. 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

The issue is the they always say "Here's the final, correct answer" before they've written the answer, so of course the LLM has no idea if it's going to be right before it starts, because it has no clue what it's going to say.

I wonder how it would do if instead it were told "Do not tell me at the start that the solution is going to be correct. Instead, tell me the solution, and at the end tell me if you think it's correct or not."

I have found that on certain logic puzzles that it simply cannot get right, it always tells me that it's going to get it quite "this last time," but if asked later it always recognizes its errors.

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