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…
AI World Clocks
171–180 of 404 posts
Re: AI World Clocks
#172Re: AI World Clocks
#173Watching 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.
Re: AI World Clocks
#174Re: AI World Clocks
#175Watching 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.
Re: AI World Clocks
#176Earlier quoted context omitted.
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.
>> 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.
Re: AI World Clocks
#177I'm not sure what Qwen 2.5 is doing, but I've seen similar in contemporary art galleries.
Re: AI World Clocks
#178Re: AI World Clocks
#179Watching 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.
It could be that the prompt is accidentally (or purposefully) more optimised for Kimi K2, or that Kimi K2 is better trained on this particular data. LLM's need "prompt engineers" for a reason to get the most out of a particular model.
we should call them "prompt witch doctors" or maybe "prompt alchemists".
Re: AI World Clocks
#180Earlier quoted context omitted.
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.
>> 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.
It's a part of my daily tool box.