nerd

28 Feb 2026

Linuxiac

KDE Plasma 6.7 to Introduce Rounded Highlights

Plasma 6.7 brings rounded highlight styling to Breeze apps and refines network settings with expanded OpenVPN options and merged Wi-Fi tabs.

28 Feb 2026 9:11am GMT

Hacker News

Inferring Car Movement Patterns from Passive TPMS Measurements

Comments

28 Feb 2026 7:45am GMT

Southern California's air quality board rejected proposed rules to phase out gas-powered appliances after receiving more than 20,000 opposition comments generated through CiviClick, "the first and best AI-powered grassroots advocacy platform." Phys.org reports: A Southern California-based public affairs consultant, Matt Klink, has taken credit for using CiviClick to wage the opposition campaign, including in a sponsored article on the website Campaigns and Elections. The campaign "left the staff of the Southern California Air Quality Management District (SCAQMD) reeling," the article says. It is not clear how AI was deployed in the campaign, and officials at CiviClick did not respond to repeated requests for comment. But their website boasts several tools, including "state of the art technology and artificial intelligence message assistance" that can be used to create custom advocacy letters, as opposed to repetitive form letters or petitions often used in similar campaigns. When staffers at the air district reached out to a small sample of people to verify their comments, at least three said they had not written to the agency and were not aware of any such messages, records show. But the email onslaught almost certainly influenced the board's June decision, according to agency insiders, who noted that the number of public comments typically submitted on agenda items can be counted on one hand. The proposed rules were nearly two years in the making and would have placed a fee on natural gas-powered water heaters and furnaces, favoring electric ones, in an effort to reduce air pollution in the district, which includes Orange County and large swaths of Los Angeles, Riverside and San Bernardino counties. Gas appliances emit nitrogen oxides, or NOx -- key pollutants for forming smog. The implications are troubling, experts said, and go beyond the use of natural gas furnaces and heaters in the second-largest metropolitan area in the country.

Hacker News

How do I cancel my ChatGPT subscription?

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28 Feb 2026 5:55am GMT

Slashdot

OpenAI Fires an Employee For Prediction Market Insider Trading

An anonymous reader quotes a report from Wired: OpenAI has fired an employee following an investigation into their activity on prediction market platforms including Polymarket, WIRED has learned. OpenAI CEO of Applications, Fidji Simo, disclosed the termination in an internal message to employees earlier this year. The employee, she said, "used confidential OpenAI information in connection with external prediction markets (e.g. Polymarket)." "Our policies prohibit employees from using confidential OpenAI information for personal gain, including in prediction markets," says spokesperson Kayla Wood. OpenAI has not revealed the name of the employee or the specifics of their trades. Evidence suggests that this was not an isolated event. Polymarket runs on the Polygon blockchain network, so its trading ledger is pseudonymous but traceable. According to an analysis by the financial data platform Unusual Whales, there have been clusters of activities, which the service flagged as suspicious, around OpenAI-themed events since March 2023. Unusual Whales flagged 77 positions in 60 wallet addresses as suspected insider trades, looking at the age of the account, trading history, and significance of investment, among other factors. Suspicious trades hinged on the release dates of products like Sora, GPT-5, and the ChatGPT Browser, as well as CEO Sam Altman's employment status. In November 2023, two days after Altman was dramatically ousted from the company, a new wallet placed a significant bet that he would return, netting over $16,000 in profits. The account never placed another bet. The behavior fits into patterns typical of insider trades. "The tell is the clustering. In the 40 hours before OpenAI launched its browser, 13 brand-new wallets with zero trading history appeared on the site for the first time to collectively bet $309,486 on the right outcome," says Unusual Whales CEO Matt Saincome. "When you see that many fresh wallets making the same bet at the same time, it raises a real question about whether the secret is getting out." [...] Though this is the first confirmed case of a large technology company firing an employee over trades in prediction markets, it's almost certainly not the last. Opportunities for tech sector employees to make trades on markets abound. "The data tells me this is happening all over the place," Saincome says.

Human Brain Cells On a Chip Learned To Play Doom In a Week

Researchers at Cortical Labs used living human neurons grown on a chip to learn how to play Doom in about a week. "While its performance is not up to par with humans, experts say it brings biological computers a step closer to useful real-world applications, like controlling robot arms," reports New Scientist. From the report: In 2021, the Australian company Cortical Labs used its neuron-powered computer chips to play Pong. The chips consisted of clumps of more than 800,000 living brain cells grown on top of microelectrode arrays that can both send and receive electrical signals. Researchers had to carefully train the chips to control the paddles on either side of the screen. Now, Cortical Labs has developed an interface that makes it easier to program these chips using the popular programming language Python. An independent developer, Sean Cole, then used Python to teach the chips to play Doom, which he did in around a week. "Unlike the Pong work that we did a few years ago, which represented years of painstaking scientific effort, this demonstration has been done in a matter of days by someone who previously had relatively little expertise working directly with biology," says Brett Kagan of Cortical Labs. "It's this accessibility and this flexibility that makes it truly exciting." The neuronal computer chip, which used about a quarter as many neurons as the Pong demonstration, played Doom better than a randomly firing player, but far below the performance of the best human players. However, it learnt much faster than traditional, silicon-based machine learning systems and should be able to improve its performance with newer learning algorithms, says Kagan. However, it's not useful to compare the chips with human brains, he says. "Yes, it's alive, and yes, it's biological, but really what it is being used as is a material that can process information in very special ways that we can't recreate in silicon." Cortical Labs posted a YouTube video showing its CL1 biological computer running Doom. There's also source code available on GitHub, with additional details in a README file.