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An anonymous reader shared this report from Bloomberg: Amazon's hard-line stance on getting disabled employees to return to the office has sparked a backlash, with workers alleging the company is violating the Americans with Disabilities Act as well as their rights to collectively bargain. At least two Amazon employees have filed complaints with the Equal Employment Opportunity Commission (EEOC) and the National Labor Relations Board, federal agencies that regulate working conditions. One of the workers said they provided the EEOC with a list of 18 "similarly situated" employees to emphasize that their experience isn't isolated and to help federal regulators with a possible investigation. Disabled workers frustrated with how Amazon is handling their requests for accommodations — including exemptions to a mandate that they report to the office five days a week — are also venting their displeasure on internal chat rooms and have encouraged colleagues to answer surveys about the policies. Amazon has been deleting such posts and warning that they violate rules governing internal communications. One employee said they were terminated and another said they were told to find a different position after advocating for disabled workers on employee message boards. Both filed complaints with the EEOC and NLRB. Amazon has told employees with disabilities they must now submit to a "multilevel leader review," Bloomberg reported in October, "and could be required to return to the office for monthlong trials to determine if accommodations meet their needs." (They received calls from "accommodation consultants" who also reviewed medical documentation, after which "another Amazon manager must sign off. If they don't, the request goes to a third manager...") Bloomberg's new article remembers how several employees told them in November. "that they believed the system was designed to deny work-from-home accommodations and prompt employees with disabilities to quit, which some have done. Amazon denied the system was designed to encourage people to resign." Since then, workers have mobilized against the policy. One employee repeatedly posted an online survey seeking colleagues' reactions, defying the company's demands to stop. The survey ultimately generated feedback from more than 200 workers even though Amazon kept deleting it, and the results reflected strong opposition to Amazon's treatment of disabled workers. More than 71% of disabled Amazon employees surveyed said the company had denied or failed to meet most of their accommodation requests, while half indicated they faced "hostile" work environments after disclosing their disabilities and requesting accommodations. One respondent said they sought permission to work from home after suffering multiple strokes that prevented them from driving. Amazon suggested moving closer to the office and taking mass transit, the person said in the survey. Another respondent said they couldn't drive for longer than 15-minute intervals due to chronic pain. Amazon's recommendation was to pull over and stretch during their commute, which the employee said was unsafe since they drive on a busy freeway... Amazon didn't dispute the accounts and said it considered a range of solutions to disability accommodations, including changes to an employee's commute. Amazon is also "using AI to parse accommodation requests, read doctors' notes and make recommendations based on keywords," according to the article — another policy that's also generated internal opposition (and formed a "key element" of the complaint to the Equal Employment Opportunity Commission). "The dispute could affect thousands of Amazon workers. An internal Slack channel for employees with disabilities has 13,000 members, one of the people said..."

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In Tokyo Mitsubishi is deploying "an innovative new battery swap network for electric cars" in a multi-year test program reports the EV news site Electrek. But it's not just for electric cars. Along with the 14 modular battery swapping stations, Mitsubishi is also deploying "more than 150 battery-swappable commercial electric vehicles" from truck maker Fuso: A truck like the Mitsubishi eCanter typically requires a full night of AC charging to top off its batteries, and at least an hour or two on DC charging in Japan, according to Fuso. This joint pilot by Mitsubishi, Mitsubishi Fuso Trucks, and [EV battery swap specialist] Ample aims to circumvent this issue of forced downtime with its swappable batteries, supporting vehicle uptime by delivering a full charge within minutes. The move is meant to encourage the transport industry's EV shift while creating a depository of stored energy that can be deployed to the grid in the event of a natural disaster — something Mitsubishi in Japan has been working on for years. The article's author also adds their own opinion about battery-swapping technology. "When you see how simple it is to add hundreds of miles of driving in just 100 seconds — quicker, in many cases, than pumping a tank of liquid fuel into an ICE-powered car — you might come around, yourself."

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Timothy B. Lee has written for the Washington Post, Vox.com, and Ars Technica — and now writes a Substack blog called "Understanding AI." This week he visits recent research by computer scientists and legal scholars from Stanford, Cornell, and West Virginia University that found that Llama 3.1 70BÂ(released in July 2024) has memorized 42% of the first Harry Potter book well enough to reproduce 50-token excerpts at least half the time... The paper was published last month by a team of computer scientists and legal scholars from Stanford, Cornell, and West Virginia University. They studied whether five popular open-weight models — three from Meta and one each from Microsoft and EleutherAI — were able to reproduce text from Books3, a collection of books that is widely used to train LLMs. Many of the books are still under copyright... Llama 3.1 70B — a mid-sized model Meta released in July 2024 — is far more likely to reproduce Harry Potter text than any of the other four models.... Interestingly, Llama 1 65B, a similar-sized model released in February 2023, had memorized only 4.4 percent of Harry Potter and the Sorcerer's Stone. This suggests that despite the potential legal liability, Meta did not do much to prevent memorization as it trained Llama 3. At least for this book, the problem got much worse between Llama 1 and Llama 3. Harry Potter and the Sorcerer's Stone was one of dozens of books tested by the researchers. They found that Llama 3.1 70B was far more likely to reproduce popular books — such as The Hobbit and George Orwell's 1984 — than obscure ones. And for most books, Llama 3.1 70B memorized more than any of the other models... For AI industry critics, the big takeaway is that — at least for some models and some books — memorization is not a fringe phenomenon. On the other hand, the study only found significant memorization of a few popular books. For example, the researchers found that Llama 3.1 70B only memorized 0.13 percent of Sandman Slim, a 2009 novel by author Richard Kadrey. That's a tiny fraction of the 42 percent figure for Harry Potter... To certify a class of plaintiffs, a court must find that the plaintiffs are in largely similar legal and factual situations. Divergent results like these could cast doubt on whether it makes sense to lump J.K. Rowling, Richard Kadrey, and thousands of other authors together in a single mass lawsuit. And that could work in Meta's favor, since most authors lack the resources to file individual lawsuits. Why is it happening? "Maybe Meta had trouble finding 15 trillion distinct tokens, so it trained on the Books3 dataset multiple times. Or maybe Meta added third-party sources — such as online Harry Potter fan forums, consumer book reviews, or student book reports — that included quotes from Harry Potter and other popular books..." "Or there could be another explanation entirely. Maybe Meta made subtle changes in its training recipe that accidentally worsened the memorization problem."

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