I have yet to be able to vibe code anything relatively involved. The closest I’ve come is a ffmpeg wrapper script to edit out scenes from a video with a fade in/fade out title card. But even then, I ended up at some point having to debug and add my own arg support because it kept screwing things up. The first draft did do something, though.

I find at this point that it’s still only useful if I have a very clear goal in mind with a lot of context on the area I need to make changes to. That lets me get a more specific prompt, and then I’ll still need to review the output. I have only ever gotten a successful one shot like this with tests.

These guys: https://www.amazon.com/dp/B08M13B8B6/?tag=thewire06-20

Lan over power lines sometimes works in these cases

How exactly is this antisemitic?

“…though he did so with the use of further antisemitic tropes by suggesting that the U.S. and NATO campaign against ISIS had been “manufactured by Israel.””

Ok, that’s easy. If I make an LRM model of your dead grandma, is that your grandma? Why not? What’s different?

Your bug fixing teams are begging for automation. That tells me you have an unsustainable setup. You are providing a bug fix suggestion tool, I don’t see how that fixes your problem. Seems like you need better coding practices and possibly more people.

A couple of things:

• we are talking about chat bots talking to people in this post, and how you can steer the simulated conversation towards whatever you want
• it did not debug anything, a human debugged something and wrote about it. Then that human input and a ton of others were mapped into a huge probability map, and some computer simulated what people talking about this would most likely say. Is it useful? Sure, maybe. Why didn’t you debug it yourself?

I will 100% admit to not reading papers and keeping up to date. I went ahead and spent about 30m looking up various explanations and summaries of LRMs. Ok, so you take an LLM and tell it to break the problem down first. It’s still not reasoning. It’s running a simulation of a natural language conversation, and giving you the center of mass of the statistical distribution for the intermediate steps. Does this kinda sorta replicate the sounds a human makes? Absolutely. But it’s irresponsible and unethical to make any claims that this is a human like entity you can chat with, or that it is doing any reasoning.

When I get some time I’ll check this paper out: https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf

No, just because they say they want it to reason, does not mean it does

This is the problem with things that don’t reason. You’re just giving it hints towards the simulation you want, and then it ultimately simulates the conversation you are building towards.

Just mint alone or someone else’s toothpaste breath. The smell of someone’s saliva mixed with toothpaste is very gross to me