In an opinion piece for 404 Media, Matthew Gault argues that Apple has entered its "slop era," abandoning its reputation for innovative hardware in favor of recycled ideas and questionable design choices. Here's an excerpt: My ears perked up when I heard Apple's new foldable phones were cracking. I licked my lips when the company announced it's releasing a touch-screen laptop. This was a company that once charged $19 for a polishing cloth, asked $200 for a VESA mount, and sold $700 wheels for the Mac Pro. Now it's borrowing tired ideas from its competitors and launching hardware its previous leaders rejected. The once dominant company is struggling to find its feet in an AI-driven post-Tim Cook world. John Ternus is the new CEO -- a 25 year veteran of the company with a track record of pushing harebrained hardware schemes like the much reviled Touch Bar and lawsuit inducing butterfly keyboard. With Ternus at the helm, I feel there's a good chance Apple's best days are behind it, that it will have to make do with less, that it's declasse. Apple, blindsided by AI and relying on crowdpleasing hardware gimmicks, is downwardly mobile. It's in its slop era. The company that once asked consumers to "Think Different" is now releasing hardware that's just like everything else on the market.

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"Looks like OpenAI CEO Sam Altman wants to own all the computing resources and rent out terminals to the world as a way of propping up his business plan, now that debt-ridden AI companies are teetering on the edge," writes ancient Slashdot reader Gilmoure. Tom's Hardware reports: In an interview over beers with the YouTube channel Cheeky Pint, Altman said that local inference, and, by extension, people having DRAM in computers at home, is "quite terrible." When discussing local inference on home computers with open-source models, Altman discussed the assumption that people will be able to run local AI on their own computers, the ones they may already own or want to build. Then he explained why that's a bad idea (at the 29-minute mark): "From a global allocation perspective, actually, it's quite terrible to have everybody have a bunch of the world's limited supply of DRAM sitting in their own computer and being used 5% of the time," Altman said. "You want maximum utilization in the cloud if you're trying to deal with this very supply-constrained environment. And somehow many people's intuition is the opposite of that." While OpenAI does have some open-source models, its primary business is in closed-source models that run in data centers, so he's really defending the company's business model. OpenAI isn't exactly threatened by some laptops and gaming rigs just yet, but local AI could mean people one day paying less for subscriptions to models like GPT-6 Luna if they have the power to run them at home. Altman's talk suggests that the company would prefer that more RAM go to OpenAI's data centers rather than home computers, which also sparks enthusiast fears of not being able to own your own hardware or software, but rather rent an agent and a computer in the cloud.

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The Justice Department has charged five people in a crackdown on "ghost student" fraud, in which scammers allegedly use stolen identities and AI to enroll fake students in colleges, complete coursework, and collect federal student loan funds. Ars Technica reports: In a press release Thursday, the Department of Justice said it had uncovered a large-scale scheme relying partly on AI. The DOJ seized more than $750,000 in cryptocurrency from "a network associated with Kenyan nationals" after data analysis helped flag likely fraudsters. Assistant Attorney General Colin M. McDonald of the DOJ's National Fraud Enforcement Division credited new fraud-detection measures implemented by the Trump administration for the arrests. He said that "this is the first international seizure of its kind in Kenya," while warning fraudsters that the crackdown has only just begun. [...] At a press conference, McDonald was joined by FBI and Department of Education officials to explain how the scheme works. It starts with bad actors purchasing personally identifiable information (PII) of Americans -- most frequently targeting high school graduates who never attended college and went straight into the workforce. Once they have that sensitive data, they fill out the Free Application for Federal Student Aid (FAFSA) while seeking to enroll in universities and community colleges. If accepted, student aid is distributed first to schools to cover tuition and fees, but any leftover money is deposited into bank accounts controlled by the fraudsters. Dozens of Americans have opened bank accounts to act as money mules for fraudsters, the DOJ said. To keep money flowing, bad actors use AI to fill out applications, complete coursework, and even make it appear that a student is attending virtual sessions. "It looks like the ghost student is actually completing the class," McDonald said at the press conference. "Some even create the appearance of a fake student in an online classroom to trick schools into believing a real person is present. The goal is to keep the ghost student in school for as long as possible, semester after semester after semester." So far, the DOE has "identified over 830,000 potentially fraudulent federal student aid accounts created by using this PII of US citizens," officials said at the press conference. If all those accounts are ghost students, total losses come close to $130 million, the DOJ said.

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According to 404 Media, Proton CEO Andy Yen is aggressively pushing AI adoption while fostering what workers describe as a culture of fear that discourages raising security concerns or challenging leadership. The investigation is based on interviews with eight current and one former Proton employees, as well as internal Slack chats, meeting recordings, and an AI manifesto written by the company's CTO. Longtime Slashdot reader devnulljapan summarizes the findings: Engineers at Proton, which makes the encrypted email service Proton Mail and a suite of privacy- and security-focused products, including an encrypted drive service, an authenticator app, and a password manager, are being pushed to "stop lovingly handcrafting all our code and use AI more." Workers describe an environment where employees have genuine concerns about security or being asked to develop security products with AI but feel unable to voice them, lest Yen berates them in front of everyone or threatens their employment at the company. "The CEO is in full AI psychosis and has been for a while now," one of the sources told 404 Media. Yen reportedly dismissed an employee's request for additional security testing before releasing new code, calling it "bullshit and loser thinking" and insisting that "only losers think like that." In a separate exchange over Proton's post-quantum encryption rollout, Yen criticized how the company communicated the feature's limitations and told employees that "perception is more important than truth, the truth doesn't matter if you don't win on perception." "The train is coming, get onboard or get crushed. Don't be the professional fax machine operator in the internet age," Yen wrote to the security Slack channel. "I think by the end of this year most developers stop programming and start writing specs for tests that AI will code and run, to validate AI written code that humans will no longer be able to review. This will be the last year that we hire engineers, and starting next year we hire what we used to call product managers, to build things with AI."

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