Larry Sanger, one of Wikipedia’s cofounders, was banned from editing the site indefinitely after other editors determined he was canvassing, or in other words, calling on his followers off platform in order to influence Wikipedia’s content.

Sanger has spent more than a decade criticizing Wikipedia for what he claims is an ideological, left-wing bias on a variety of topics, and on X has framed this recent ban as further proof of everything that’s wrong with Wikipedia. The New York Post took that bait and last night published an article with the headline “Left-leaning Wikipedia blocked founder from editing site—after he campaigned to make it more balanced.”

Wikipedia editors obviously reject that framing and say that Sanger was banned for wielding his followers to sway discussion and decision making on Wikipedia. The discussion that led to the decision to ban Sanger concluded with what an editor called a “clear consensus” to ban Sanger.

Valve’s Steam Machine finally has a price: a whopping $1,049 for the 512GB configuration or $1,349 for the 2TB version. And those are without bundled controllers, which drive up the cost more.

The prices are so high in part because Valve isn’t subsidizing the hardware, and the company has already indicated that the component crisis forced it to reconsider its initial pricing plans. In an interview with the YouTube channel Gamers Nexus, Valve engineers discussed the reality of sourcing RAM in 2026, with take-it-or-leave-it prices as memory and other components remain in short supply, from only a few vendors like Samsung, Micron, and SK Hynix.

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Valve, of course, isn’t the only company in a bind over memory shortages, as the crunch is forcing many hardware makers to make significant pricing changes. Even Apple CEO Tim Cook is warning of incoming price hikes for iPhones, Macs, and other devices. And the RAM crunch isn’t projected to get better anytime soon.

A group of companies that specialize in tracking international shipments of sensitive technologies is backing a Capitol Hill bill that would require America’s most powerful AI chips to incorporate stronger security mechanisms aimed at preventing the chips from reaching China and other adversaries.

The letter, signed by six companies, says the Chip Security Act (CSA) would increase American chip companies’ competitiveness and close key loopholes in the U.S. export control regime. The move clashes with claims from semiconductor lobbying groups that the requirements would constrain America’s booming chip industry.

Sent to congressional leadership Thursday morning and seen by NBC News, the dispatch instead argues that more robust security verification would assure chip customers and manufacturers that they are abiding by sensitive restrictions on chip sales. The companies argue that the boosted confidence will “lead to increased sales, faster export approvals, larger transactions, greater access to new markets, and more expansive chip deals.”

Potentially impacting all AI search engines and chatbots known to poorly paraphrase source links, a German court has ruled that Google is liable for false statements in AI Overviews.

The ruling came in a case flagged by The Decoder, where two publishers found that Google’s AI Overviews incorrectly linked them to scams and other sketchy business practices. After smearing publishers by making affirmative statements like “Yes, [it] is known for dubious business practices and is often perceived as a scam,” Google failed to correct the misleading output, even after the publishers sent a cease-and-desist letter earlier this year.

Google tried the usual arguments to shield itself from liability for false statements in AI Overviews, such as arguing that most users understand that AI outputs aren’t always accurate and must be verified.

A San Diego police department is facing a lawsuit after jailing a man for a month based on a Flock camera alert that cops allegedly should have known, based on the timestamp, did not depict the car that they were looking for.

Last November, Hugo Parra was arrested on felony charges after San Diego police relied on Flock data and a witness statement to wrongly connect him to an attempted carjacking at gunpoint, the Times of San Diego reported. Cops were looking for a red Alfa Romeo car with tinted windows and a man wearing a gray hoodie, and Parra happened to be wearing a white hoodie while riding in a friend’s car that roughly matched the vehicle description.

Although Flock cameras can capture license plate data, cops did not have even a partial plate to help them verify if the car was involved in a violent crime. But the Flock data cops used to justify the arrest actually showed that Parra was five miles away at the time of the crime, Parra’s attorney, Alex Coolman, told the Times of San Diego. Rather than arrest him, cops could have used that data, as well as Parra’s cellphone location data, to corroborate Parra’s statement that he was innocent, Coolman said.

Meta CEO Mark Zuckerberg appears so determined to win the AI race that he is willing to sacrifice some employee privacy to make it happen.

In a leaked audio recording published by the worker advocacy group More Perfect Union, Zuckerberg purportedly answered an employee’s question about “device monitoring” with a six-minute monologue in which he said Meta employees are very smart and to win the most competitive technology race in history, he would need to collect their keystrokes, mouse clicks, and screenshots to make its own AI measure up to its rivals.

“We are using this to feed a very large amount of content into the AI model, so that way it can learn how smart people use computers to accomplish tasks. I think that this is going to be a very big advantage if we can do it,” Zuckerberg purportedly said during an April 30 meeting in which an employee asked about the “top of mind” issue.

Elon Musk’s xAI has lost its bid for a preliminary injunction that would have temporarily blocked California from enforcing a law that requires AI firms to publicly share information about their training data.

xAI had tried to argue that California’s Assembly Bill 2013 (AB 2013) forced AI firms to disclose carefully guarded trade secrets.

The law requires AI developers whose models are accessible in the state to clearly explain which dataset sources were used to train models, when the data was collected, if the collection is ongoing, and whether the datasets include any data protected by copyrights, trademarks, or patents. Disclosures would also clarify whether companies licensed or purchased training data and whether the training data included any personal information. It would also help consumers assess how much synthetic data was used to train the model, which could serve as a measure of quality.

The most depressing news of the week: Intel is ending their performance-optimized Clear Linux distribution. Over the past decade the Clear Linux operating system has shown what’s possible with out-of-the-box performance on x86_64 hardware… Not just for Intel platforms but even showing extremely great performance results on AMD x86_64 too. But with the cost-cutting going on at Intel, Clear Linux is now being sunset.