Technology

The policy change follows years of Meta and its chief executive Mark Zuckerberg’s pivot of political convenience toward President Donald Trump and his base. Following Trump’s second electoral victory, Meta quickly changed its speech rules to allow for anti-transgender slurs and dehumanization of immigrants, The Intercept previously reported, aligning the company with longtime MAGA culture war grievances.

Asked about the new restrictions on the word “antifa,” Meta spokesperson Erica Sackin pointed to a March transparency report that noted the company would “remove QAnon and Antifa content when combined with content-level threat signals.” The report does not explain what those signals are. Meta did not respond when asked if the company had discussed its antifa speech rules with the Trump administration.

Meta largely outsources the enforcement of its Community Standards rules to low-paid contractors whose interpretation and application of the policies can vary. The company’s automated, algorithmic content moderation systems are also famously glitchy. This combination can result in erratic censorship, particularly when political ideology is classified as violent or terroristic.

I'm sure we're all aware of the memory price increases due to the AI hype, but it's helpful to see the trends over time. Heck, maybe these graphs could be a good indicator to watch for if/when the bubble pops.

cross-posted from: https://lemmy.bestiver.se/post/1049400

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The middle distribution of Gen Z’s feelings about AI range from apprehension to downright hatred. Despite the fact that more than half of Gen Z living in the U.S. uses AI regularly, according to a recently released Gallup poll, less than a fifth feel hopeful about the technology. About a third says the technology makes them angry. And nearly half say it makes them afraid.

Gallup’s own senior education researcher, Zach Hrynowski, blamed the bad vibes at least partially on the dwindling job market. The oldest Zoomers, he told Axios, are the angriest, as they are “acutely aware” of the ability of a technology to transform cultural norms without a second thought, unlike a Gen Xer who is trained to see new technology as toys and are still “playing around with AI.”

Indeed, job prospects for the recently graduated Gen Z are abysmal; Bloomberg just reported that 43% of young graduates are “underemployed,” meaning taking on jobs that require less education than they have.

[...]

This is not just a Gen Z problem, either. In the American heartland, data centers are being proposed at a pace that local communities never anticipated and for which they were never asked permission, and they’re increasingly pushing back.

The numbers are serious. According to a report from 10a Labs’ Data Center Watch, at least $18 billion worth of data center projects have been blocked and another $46 billion delayed over the past two years owing to local opposition. At least 142 activist groups across 24 states are now actively organizing to block data center construction and expansion. A Heatmap Pro review of public records found that 25 data center projects were canceled following local pushback in 2025 alone, four times as many as in 2024, with 21 of those cancellations occurring in the second half of the year as electricity costs grew.

The concerns driving this resistance are less about existential AI risk and more about typical kitchen-table complaints; communities consistently cite higher utility bills, water consumption, noise, impacts on property values, and green space destruction as their primary objections. Water use is mentioned as a top concern in more than 40% of contested projects, according to a Heatmap Pro review of public records.

Get ready for the lines going down on Monday...

Buried in the story was a deceptively simple question: does your AI agent count as an employee?

At a recent conference, Microsoft executive Rajesh Jha floated a provocative idea. In a future where companies deploy fleets of AI agents, those agents may need their own identities — logins, inboxes, and even seats inside software systems. If so, AI wouldn't shrink software revenue. It could expand it.