Yes, but they don't make news or to the top of lemmy for very long ever. Paizo is an example of a relatively established company that welcomed unionization. I'm sure there are others.
FatCrab
Yes, as the other commenter said, in most jurisdictions (i think China is the only exception?), generative AI outputs (this covers more than LLMs, like diffusers and other modern image generators) are not eligible for copyright. However, while a human made arrangement of the outputs gets copyright protection, in the US at least, it is a very narrow scope of protection, literally only a direct copy/paste of large swaths, and doesn't extend to the individual AI generated components.
That isn't really what that article says. It says that in edge cases, remote workers (mostly in the Philippines) give additional contextual inputs to the autopilot. There are some outstanding issues with waymos, especially around getting stuck idling or infinite loops at construction sites, but really just being remotely operated is not one of them.
Thia is to settle their infringement from when they literally torrented giant chunks of their training corpus. It has nothing to do with any sort of infringement theory based on encoding learning from material but just old fashioned liability for flagrant piracy.
I think there's plenty blame to be laid at the feet of data center owners and local permitting morons, for sure. That said, at the end of the day, National Grid NA has posted year on year record profits and continues to argue that price hikes are necessary due to short term fuel cost spikes. Meanwhile, regulators and legislators insist that we need to "negotiate" pricing when most of the infrastructure and labor for generation and transmission is subsidized by the state, is a critical infrastructure, and the operators are still fully capable of netting immense profit despite everything. It just doesn't make sense. They are not going to go away because their profits are fewer billions this year than last year's billions, and if they did, it would be more than fine for the state to step in and take over in providing critical infrastructure for the operation of society, even if it is a cost center, because it's one of the key fucking reasons humans collect into cooperative society in the first place.
Then what's the point of this article? Machine learning has been a critical aspect of drug discovery for a decade+ now. Anthropic is built on a cornerstone of transformer models. Presumably, they are wanting to implement a transformer based approach to drug discovery otherwise this is absolutely nothing new and that's a TERRIBLE idea.
Why are residential and critical infrastructure electric rates uncapped? Prices should not be allowed to be hiked. The material ability to produce the electricity is there no matter what and demand is functionally inelastic--this price hiking doesn't cover any increase in cost of production, it just goes directly to utility company profit lines. We need to stop fucking negotiating with power companies.
I don't think this is really all that surprising if you understand how diffusers actually work. They don't just draw contours and shit. They apply sequential transformations across a matrix of pixels in an iterative fashion, the transformation varies each iteration based on prompt embeddings and the surrounding pixels of each respective transformation, typically starting from a seed of arbitrary static. A lot of images share overwhelmingly identical techniques, with a tiny sliver being responsible for the truly creative deltas. Diffusers effectively learn techniques so it tracks that dropping singular training data here and there doesn't change much.