hopfenspergerj

Look at one eye has lashes and the other doesn't! It's just a low-quality AI "denoise+sharpen" filter.

The face is the background is clearly an AI model adding detail where the raw image is out of focus. The people you're talking to on this site are just blind.

It's standard sql behavior, users always specify the ordering they want as part of the query.

Does the API response include a "service tier" response to indicate whether you paid peak/off-peak for a given request? I like to compute cost for each request, and save it with my results.

I can be pressured to use it at work to keep up with others who use it, while simultaneously knowing that it is eroding and devaluing my skills, and wishing that we could all stop using it together.

You can't accidentally retrain a model to use a different tokenizer. It changes the input vectors to the model.

We might as well use the axiom that “you can make arbitrary choices at each stage of a transfinite induction”. It’s mostly pedagogical tradition to make students translate that into one of the classical forms of Choice in their proofs.

What on earth are these questions? They don’t resemble any real use of an llm for work.

No it is not horrible to work with. Even the “standard” settings are quite lax.

If you’re meta and you have to defend the AI by admitting “it’s not really intelligent and everything it says is bullshit”, that’s not a position of strength.

Ruff can automatically upgrade all of the issues you mentioned to match your target minimum python version.

Are the pandas people considering this as the default string type? Seems like it would be a slam dunk.