It seems that the more people learn about Musk, the less they like him—at least, according to a new Hart Research survey published Wednesday by Groundwork Collective and Public Citizen. The poll asked respondents about how much influence they felt Musk should have in government, explaining aspects of his role in DOGE, his lack of oversight, and his far-reaching access.

By the end of the survey, 63 percent of voters reported having an unfavorable opinion of Musk, an increase of nine points from the beginning of the survey. Meanwhile, only 32 percent of respondents had a favorable opinion, which was down 7 percent from the start, and showed a major negative swing among non-MAGA Republicans.

Ce type d’intervention politique sur les archives n’a rien d’anodin. L’histoire regorge d’exemples où la manipulation ou la destruction d’archives a servi des régimes autoritaires. De l’Allemagne nazie à l’Union soviétique, en passant par la Révolution culturelle chinoise et le régime des Khmers rouges, les archives ont toujours représenté un enjeu de pouvoir majeur. L’accès à une information libre, fiable et contextualisée est une menace pour ceux qui cherchent à réécrire l’histoire à leur avantage.

For its right wing adherents, the absence of humans is a feature, not a bug, of AI art. Where mechanically-produced art used to draw attention to its artificiality – think the mass-produced modernism of the Bauhaus (which the Nazis repressed and the AfD have condemned), or the music of Kraftwerk – AI art pretends to realism. It can produce art the way right wingers like it: Thomas Kinkade paintings, soulless Dreamworks 3D cartoons, depthless imagery that yields only the reading that its creator intended. And, vitally, it can do so without the need for artists.

Javier Milei, a prodigious user of AI-generated art, wants Argentinians to know that any of them could join the 265,000, mostly young people who have lost jobs as a result of the recession that he induced, to the rapturous praise of economic elites. He wants to signal that anyone can find themselves at the wrong end of his chainsaw, even if doing so means producing laughably bad graphics for the consumption of his 5.9 million deeply uncritical Instagram followers.

Fascist movements, formal or otherwise, operate much like cults. When one joins them, they are at first overwhelmed with the appearance of validation and support. This is called "love bombing" and it's meant to endear you to them, to become dependent on them to meet your emotional needs. Then that validation and support is gradually withheld in order to pressure the target into severing ties with the "normie" world. They drive away anyone outside of their hateful little bubble. So their entire network of social support depends on how useful they can be to the cause. It's the only way they can feel part of something anymore because nobody else wants anything to do with them at this point.

“Much of what I did I now regret,” Bill Burr told The Wall Street Journal recently, admitting that his research into passwords mostly came from a white paper written in the 1980s, well before the web was even invented. “In the end, [the list of guidelines] was probably too complicated for a lot of folks to understand very well, and the truth is, it was barking up the wrong tree.”

"We're in the very early days looking at this problem from an ecosystem level," Larson told The Register. "It's difficult, and likely impossible, to quantify how many attempted installs are happening because of LLM hallucinations without more transparency from LLM providers. Users of LLM generated code, packages, and information should be double-checking LLM outputs against reality before putting any of that information into operation, otherwise there can be real-world consequences."

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"Even worse, when you Google one of these slop-squatted package names, you’ll often get an AI-generated summary from Google itself confidently praising the package, saying it’s useful, stable, well-maintained. But it’s just parroting the package’s own README, no skepticism, no context. To a developer in a rush, it gives a false sense of legitimacy.

If you take just one thing away from this article, I want it to be this: please build your own website. A little home on the independent web.

A reflection of your personality in HTML and CSS (and a little bit of JS, as a treat). This could be a professional portfolio, listing your accomplishments. It might be a blog where you write about things that matter to you. It could even be something very weird and pointless (even better) – I love a good single-joke website. Ultimately, it's your space and you can do whatever you want with it.

The effects of AI on cognitive development are already being identified in schools across the United States. In a report titled, “Generative AI Can Harm Learning”, researchers at the University of Pennsylvania found that students who relied on AI for practice problems performed worse on tests compared to students who completed assignments without AI assistance. This suggests that the use of AI in academic settings is not just an issue of convenience, but may be contributing to a decline in critical thinking skills.

For years now, many AI industry watchers have looked at the quickly growing capabilities of new AI models and mused about exponential performance increases continuing well into the future. Recently, though, some of that AI "scaling law" optimism has been replaced by fears that we may already be hitting a plateau in the capabilities of large language models trained with standard methods.