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HP Agrees To $4 Million Settlement Over Claims of 'Falsely Advertising' PCs, Keyboards

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3 months ago
HP has agreed to a $4 million settlement over allegations of deceptive pricing practices on its website, including falsely inflating original prices for computers and accessories to create the illusion of steep discounts. Ars Technica reports: Earlier this month, Judge P. Casey Pitts for the US District Court of the San Jose Division of the Northern District of California granted preliminary approval [PDF] of a settlement agreement regarding a class-action complaint first filed against HP on October 13, 2021. The complaint accused HP's website of showing "misleading" original pricing for various computers, mice, and keyboards that was higher than how the products were recently and typically priced. Per the settlement agreement [PDF], HP will contribute $4 million to a "non-reversionary common fund, which shall be used to pay the (i) Settlement Class members' claims; (ii) court-approved Notice and Settlement Administration Costs; (iii) court-approved Settlement Class Representatives' Service Award; and (iv) court-approved Settlement Class Counsel Attorneys' Fees and Costs Award. All residual funds will be distributed pro rata to Settlement Class members who submitted valid claims and cashed checks." The two plaintiffs who filed the initial complaint may also file a motion to receive a settlement class representative service award for up to $5,000 each, which would come out of the $4 million pool. People who purchased a discounted HP desktop, laptop, mouse, or keyboard that was on sale for "more than 75 percent of the time the products were offered for sale" from June 5, 2021, to October 28, 2024, are eligible for compensation. The full list of eligible products is available here [PDF] and includes HP Spectre, Chromebook Envy, and Pavilion laptops, HP Envy and Omen desktops, and some mechanical keyboards and wireless mice. Depending on the product, class members can receive $10 to $100 per eligible product purchased.

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Microsoft Researchers Develop Hyper-Efficient AI Model That Can Run On CPUs

Slashdot
3 months ago
Microsoft has introduced BitNet b1.58 2B4T, the largest-scale 1-bit AI model to date with 2 billion parameters and the ability to run efficiently on CPUs. It's openly available under an MIT license. TechCrunch reports: The Microsoft researchers say that BitNet b1.58 2B4T is the first bitnet with 2 billion parameters, "parameters" being largely synonymous with "weights." Trained on a dataset of 4 trillion tokens -- equivalent to about 33 million books, by one estimate -- BitNet b1.58 2B4T outperforms traditional models of similar sizes, the researchers claim. BitNet b1.58 2B4T doesn't sweep the floor with rival 2 billion-parameter models, to be clear, but it seemingly holds its own. According to the researchers' testing, the model surpasses Meta's Llama 3.2 1B, Google's Gemma 3 1B, and Alibaba's Qwen 2.5 1.5B on benchmarks including GSM8K (a collection of grade-school-level math problems) and PIQA (which tests physical commonsense reasoning skills). Perhaps more impressively, BitNet b1.58 2B4T is speedier than other models of its size -- in some cases, twice the speed -- while using a fraction of the memory. There is a catch, however. Achieving that performance requires using Microsoft's custom framework, bitnet.cpp, which only works with certain hardware at the moment. Absent from the list of supported chips are GPUs, which dominate the AI infrastructure landscape.

Read more of this story at Slashdot.

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