Automatticians who contributed to core will instead focus on for-profit projects within Automattic, such as WordPress.com, Pressable, WPVIP, Jetpack, and WooCommerce.

And with that, I’m out. He’s literally doing the very thing he’s been accusing others of doing.

And when it’s once again found that they only censor left-of-center speech, what then?

I have conflicting feelings about this whole thing. If you are selling the result of training like OpenAI does (and every other company), then I feel like it’s absolutely and clearly not fair use. It’s just theft with extra steps.

On the other hand, what about open source projects and individuals who aren’t selling or competing with the owners of the training material? I feel like that would be fair use.

What keeps me up at night is if training is never fair use, then the natural result is that AI becomes monopolized by big companies with deep pockets who can pay for an infinite amount of random content licensing, and then we are all forever at their mercy for this entire branch of technology.

The practical, socioeconomic, and ethical considerations are really complex, but all I ever see discussed are these hard-line binary stances that would only have awful corporate-empowering consequences, either because they can steal content freely or because they are the only ones that will have the resources to control the technology.

Floccinaucinihilipilification

The guy stomps on innocent, unsuspecting little turtles and occasionally burns them alive. Of course it should be flagged.

Sorry, someone already “owns” that land. Your home is prison now.

303 natives were convicted and sentenced to death following the Dakota War of 1862. Lincoln actually commuted the sentences of 264 of those natives, allowing the convictions to stand only for those he believed personally engaged in the murder of innocent women and children.

Therefore, the last one is deliberately and intentionally misleading.

This is the perfect waterfall analogy.

The difference is that we’ll just be running small, specialized, on-demand models instead of huge, resource-heavy, all-purpose models. It’s already being done. Just look at how Google and Apple are approaching AI on mobile devices. You don’t need a lot of power for that, just plenty of storage.

There’s no need for huge, expensive datacenters when we can run everything on our own devices. SLMs and local AI is the future.