Fully on board with that. It’s why in journalism you see an indicator of closeness make it a more relevant source description. Like “democratic senator”, “someone close to the president” etc. Moreover you have to question the publishers alignment and dedication to truthfullness.

But if people lack the critical reading skill to already mistake “unverified” with “anonymous source [of function/closeness to the subject] according to [insert news agency]”, that is just trying to find truth in a statement ment to give you doubt.

Edit: On alignment of the publisher: “Newsmax TV holds a conservative political stance, broadcasting many programs hosted by conservative media personalities. CEO Christopher Ruddy has compared the network to Fox News.”

Fox News itself said not to consider it actual news reporting.

Why would a reliable source close enough to the president to know the truth about campaign aspirations go to a Fox News clone?

Unverified to you means “verified by a source that prefers to remain anonymous”?

Have you considered the comment not being serious but highlighting the absurdity of antitrans folks being so incredibly focused on young peoples genitals while decrying others as perverted for wearing clothes that differ from their own?

Would expect a lot of models to struggle with making the pope female, making the pope black, or making a black female a pope unless they build in some kind of technique to make replacements. Thing is, a neural net reproduces what you put into it, and I assume the bias is largely towards old white men since those images are way more readily found.

Even targeted prompts, like a zebra with rainbow colored stripes, had very limited results 6 monts ago where there would be at least 50% non black and white stripes. I had to generate multiple times with a lot of negative terms just to get close. Currently, the first generation of copilot matches my idea behind the prompt.

Clearly the step made was a big one, and I imagine tuning was done to ensure models capable of returning more diverse results rather just what is in the data set. It just has more unexpected results and less historically accurate images for these kind of prompts. And some that might be quite painful. Still, being always underrepresented in data sets is also quite painful. Hard to get to a perfect product quickly, but there should be a feature somewhere on their backlog to by default prevent some substitutions. Black, female popes when requesting a generated pope? To me that is a horizon broadening feature. Black, female nazis when requesting nazis? Let that not be a default result.

So? Does that at all invalidate the argument that humans have changed the way, speed and reach of viral infections and viral mutations? It’s like saying humans have always gathered in groups. Sure, but modern metropolitan areas come with their own challenges that differ from tribal cultures.

Poultry that has been bred in a way that reduces variety, with more on a certain square footage, with more being transported outside of their natural habitat and migratory range. The problem shouldn’t be exaggerated, but human influence shouldn’t be ignored.

Bird flu and quick spread of it is likely caused by massive poultry farms, human induced transfer by trade, and transference from contaminated boots combined with travel.

Are we back to the time of not knowing second hand smoke introduces a lot of the same health risks as first hand smoke? Anyone would be able to infer that women that want to get pregnant shouldn’t smoke from the proposed headline, but they might think a bit more about their own contributions to the health of others.

Unless people in Africa became more educated, so it feels a bit easy to just disregard them. Also, people often don’t change their mind overnight.

My guess is you’re thinking of the DRC, because Congo is pretty much equal in size.