Dominic

That’s a fair point.

In my eyes, the difference is the sheer volume of content that these models rip through in training. It would take many, many lifetimes for a person to read as much as an LLM “reads,” and it’s difficult to tell what an LLM is actually synthesizing versus copying.

Now, does it really matter?

I think the answer comes down to how much power is actually put into the hands of artists rather than the mega-corps. As it stands, the leaders of the AI race are OpenAI/Microsoft, Google, and Meta. If an open LLM comes out (a la Stable Diffusion), then artists do stand to benefit here.

I half-agree.

I do think that companies should clarify how they’re training their models and on what datasets. For one thing, this will allow outside researchers to gauge the risks of particular models. (For example, is this AI trained on “the whole Internet,” including unfiltered hate-group safe-havens? Does the training procedure adequately compensate for the bias that the model might learn from those sources?)

However, knowing that a model was trained on copyrighted sources will not enough to prevent the model from reproducing copyrighted material.

There’s no good way to sidestep the issue, either. We have a relatively small amount of data that is (verifiably) public-domain. It’s probably not enough to train a large language model on, and if it is, then it probably won’t be a very useful one in 2023.

Right, the phrasing is “copyright-infringing AI assets” rather than a much more controversial “all AI assets, due to copyright-infringement concerns.”

I do think there’s a bigger discussion that we need to have about the ethics and legality of AI training and generation. These models can reproduce exact copies of existing works (see: Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4).

To Pimp a Butterfly - Kendrick Lamar

It’s a hip-hop album with a strong focus on themes of race in America and mental health. Lamar’s lyricism is incredible.

The instrumentation is equally great, drawing inspiration from jazz, funk, and soul.

This album is one of my favorites. Short and sweet, not a single bad track, plenty of genre-bending, and it aged extraordinarily well (for better or worse, as far as lyrics are concerned).

I’m an American, so feel free to correct me if I’m wrong:

I don’t think France is anywhere near a collapse. There’s property damage and maybe even some violence, but this is not going to completely dismantle France. There might be some policy changes or resignations, but that’s about it.

I don’t think that this is building to anything worse, either.

It’s an adjustment, but you’ll get used to it.

I think the most confusing thing in Python is how assignment works (and how function parameters work, because Python is basically “pass by assignment”).

Immutable types (usually trivial types such as bool, int, float, str, tuple, etc.) create copies when they’re assigned (and are pass-by-value).

Mutable types (dict, list, set, functions, classes, instances of classes) are assigned by reference (and are pass-by-reference).

It’s very easy to trip yourself up by passing a dictionary into a function, modifying it in the function, and not realizing those those modifications will live forever. If this happens to you, start experimenting with the is operator.

They aren’t elected.

Many Americans don’t like this system, for what it’s worth.

Seconding the recommendation for Helix.

As you noted, it’s batteries-included. For me, the hard part of using vim/Neovim is choosing and configuring all of the plugins that you need to have an IDE-like experience. Helix doesn’t have a plugin system, so it’s not as powerful or flexible as Neovim, but it gives you 90% of the features of a fully-configured Neovim setup with 10% of the work.

I also like Helix’s approach to modal editing. It’s a little more intuitive to use motions and then actions (e.g. select the next 3 words, delete them) than the other way around.

There’s a real argument to be made that a combined group is better for vegans, because it exposes them to the thought process.

I think that the “plant-based” phrasing would be a lot less vulnerable to this kind of philosophical debate, and it better captures the overlap.

they cater to multiple ideologies, sexual inclinations, races, etc.

They don’t, though. !lgbtq_plus@beehaw.org and !poc@beehaw.org are single communities that each represent several different minority groups. Combined, the LGBTQ+ and POC communities are probably a larger percentage of the world (and Beehaw) than people who don’t eat meat.

I am a vegan, and I understand that veganism is a philosophy. However, the reality is that we’re a small group, and we have a lot in common with vegetarians. We are either going to get a combined community for people who don’t eat meat, or no community at all.

Don’t let the perfect be the enemy of the good.