"Fossil-fuel billionaire Kelcy Warren is about to land a knockout punch on Greenpeace..."

AI firms propose 'personhood credentials' to combat online deception, offering a cryptographically authenticated way to verify real people without sacrificing privacy—though critics warn it may empower governments to control who speaks online.

I use Google Shopping (the “Shopping” tab on Google) to see if local stores carry certain products, what they cost, how far away each store is, etc. It seems to mostly search national or large regional chains, but it was still pretty useful.

Is there any alternative to this (in the US)? The “nearby” function has unfortunately got shittier and shittier over the past year or so. It's gotten less “deterministic," just mixing results from local stores with e-commerce stores, further reducing usefulness.

I don’t remember how I heard of it, but just binged-watched it over the past few days. Ratings seem a little bit above average, but I found it very enjoyable. I liked that the mood oscillates between modern comedy and tragic comedy; and that it seems to implicitely critique modern society. The series almost feels like an allegory (or perhaps I’m reading too much in to it).

I've recently noticed this opinion seems unpopular, at least on Lemmy.

There is nothing wrong with downloading public data and doing statistical analysis on it, which is pretty much what these ML models do. They are not redistributing other peoples' works (well, sometimes they do, unintentionally, and safeguards to prevent this are usually built-in). The training data is generally much, much larger than the model sizes, so it is generally not possible for the models to reconstruct random specific works. They are not creating derivative works, in the legal sense, because they do not copy and modify the original works; they generate "new" content based on probabilities.

My opinion on the subject is pretty much in agreement with this document from the EFF: https://www.eff.org/document/eff-two-pager-ai

I understand the hate for companies using data you would reasonably expect would be private. I understand hate for purposely over-fitting the model on data to reproduce people's "likeness." I understand the hate for AI generated shit (because it is shit). I really don't understand where all this hate for using public data for building a "statistical" model to "learn" general patterns is coming from.

I can also understand the anxiety people may feel, if they believe all the AI hype, that it will eliminate jobs. I don't think AI is going to be able to directly replace people any time soon. It will probably improve productivity (with stuff like background-removers, better autocomplete, etc), which might eliminate some jobs, but that's really just a problem with capitalism, and productivity increases are generally considered good.

As the energy transition inches through the ‘issue attention’ cycle, a wiser approach should emerge.