The GNU AGPLv3 is a free and open source software (FOSS) license largely based on the GNU GPLv3, both of which are published by the Free Software Foundation (FSF). Neo4j provided database software under the AGPLv3, then tweaked the license, leading to legal battles over forks of the software. The AGPLv3 includes language that says any added restrictions or requirements are removable, meaning someone could just file off Neo4j’s changes to the usage and distribution license, reverting it back to the standard AGPLv3, which the biz has argued and successfully fought against in that California district court.

Now the matter, the validity of that modified FOSS license, is before an appeals court in the USA. “I don’t think the community realizes that if the Ninth Circuit upholds the lower court’s ruling, it won’t just kill GPLv3,” PureThink’s John Mark Suhy told The Register. “It will create a dangerous legal precedent that could be used to undermine all open-source licenses, allowing licensors to impose unexpected restrictions and fundamentally eroding the trust that makes open source possible.”

Perhaps equally concerning is the fact that Suhy, founder and CTO of PureThink and iGov (the two firms sued by Neo4j), and presently CTO of IT consultancy Greystones Group, is defending GPL licenses on his own, pro se, without the help of the FSF, founded by Richard Stallman, creator of the GNU General Public License. “I’m actually doing everything pro se because I used up all my savings to fight it in the lower court,” said Suhy. “I’m surprised the Free Software Foundation didn’t care too much about it. They always had an excuse about not having the money for it. Luckily the Software Freedom Conservancy came in and helped out there.”

By the time it opens, Intel’s first factory will have faced at least five or six years of delays, as it was originally scheduled to begin operating in 2025. Intel’s second Ohio factory won’t be completed until at least 2031 and will begin running in 2032, according to the company. The new timeline comes as Intel continues to struggle financially, which was a key factor in the latest delay for the company’s Ohio factories. The company was alerting its employees of the delays in a message Friday.

The changes were made so Intel can align its factory operation with market demand and better “manage our capital responsibly,” Naga Chandrasekaran, executive vice president, chief global operations officer and general manager of Intel Foundry Manufacturing wrote in a message to workers. The changes will ensure Intel’s Ohio fabs will be finished in a “financially responsible manner that sets up Ohio One for success,” Chandrasekaran wrote. “I wanted to be upfront and transparent with you all about our current plan. In no way does this diminish our long-term commitment to Ohio,” Chandrasekaran wrote. "(W)e will continue to scale our hiring as we approach our operational dates. Intel is proud to call Ohio home, and we remain excited about our future here.”

Thousands” of complaints about the volume of TV commercials have flooded the Federal Communications Commission (FCC) in recent years. Despite the FCC requiring TV stations, cable operators, and satellite providers to ensure that commercials don’t bring a sudden spike in decibels, complaints around loud commercials “took a troubling jump” in 2024, the government body said on Thursday.

Under The Commercial Advertisement Loudness Mitigation (CALM) Act, broadcast, cable, and satellite TV providers are required to ensure that commercials “have the same average volume as the programs they accompany,” per the FCC. The FCC’s rules about the volume of commercials took effect in December 2012. The law also requires linear TV providers to use the Advanced Television Systems Committee’s (ATSC’s) recommended practices. The practices include guidance around production, post production, metadata systems usage, and controlling dynamic range. If followed, the recommendations “result in consistency in loudness and avoidance of signal clipping,” per the ATSC [PDF]. The guidance reads: “If all programs and commercials were produced at a consistent average loudness, and if the loudness of the mix is preserved through the production, distribution, and delivery chain, listeners would not be subjected to annoying changes in loudness within and between programs.”

As spotted by PC Mag, the FCC claimed this week that The Calm Act initially reduced complaints about commercials aggressively blaring from TVs. However, the agency is seeing an uptick in grievances. The FCC said it received “approximately” 750 complaints in 2022, 825 in 2023, and “at least” 1,700 in 2024 [PDF]. Since The Calm Act regulates a commercial’s average loudness, some advertisers may be skirting the spirit of the law by making commercials very loud at the start (to get viewers’ attention) before quieting down for the rest of the ad. In response to growing complaints, the FCC is reexamining its rules and this week announced that it’s seeking comment from “consumers and industry on the extent to which The CALM Act rules are effective.” The FCC is also asking people to weigh in on what future actions the FCC, the TV industry, or standard developers could take.

The researchers, drawing from what they identified as the first nationally representative survey of generative AI adoption, measured the impact of generative AI on work productivity by how much workers used the technology and how intensely. They found users are saving meaningful amounts of time.

“On average, workers are 33% more productive in each hour that they use generative AI,” the paper found. Among respondents that used generative AI in the previous week, 21% said it saved them four hours or more in that week, 20% reported three hours, 26% said two hours and 33% reported an hour or less.

Mozilla just updated its Terms of Use and Privacy Policy for Firefox with a very disturbing “You Give Mozilla Certain Rights and Permissions” clause:

H/T to reader agristin as well, who also wrote about this.

Sites including CNN Underscored and Forbes Vetted offer tips on everything from mattresses and knife sets to savings accounts, making money when users click on links and buy products.

They depend on Google to drive much of their traffic, and therefore revenue. But over the past year, Google created stricter rules that dinged certain sites that farm out articles to freelancers, among other things. The goal, Google has said, was to give users higher-quality search results. The outcome was a crisis for some sites. Traffic for Forbes Advisor, a personal-finance recommendation site, fell 83% in January from the same month the year before, according to data firm Similarweb.

CNN Underscored and Buy Side from WSJ, which is operated by Wall Street Journal parent Dow Jones, were both down by more than 25% in that period. Time magazine’s Time Stamped and the Associated Press’s AP Buyline, powered by Taboola Turnkey Commerce, ended their efforts in recent months. Taboola closed the commerce operation.

The erroneous internal transfer, which occurred last April and has not been previously reported, was missed by both a payments employee and a second official assigned to check the transaction before it was approved to be processed at the start of business the following day.

A third employee detected a problem with the bank’s account balances, catching the payment 90 minutes after it was posted. The payment was reversed several hours later, according to an internal account of the event seen by the Financial Times and two people familiar with the event. No funds left Citi, which disclosed the “near miss” to the Federal Reserve and Office of the Comptroller of the Currency, according to another person with knowledge of the matter.

[T]he MTA is testing a system that effectively transforms Google Pixel Android smartphones into powerful diagnostic tools for tracking rail defects. The project, called "TrackInspect,” attaches Google Pixel phones to subway cars. Then, by using the Android devices’ built-in microphones and motion sensors, it detects vibrations and sound patterns. These sounds can indicate areas of track that may need maintenance.

Once the data is collected, it is uploaded to Google Cloud, where AI analyzes it. By highlighting areas that might need attention, it allows human crews to focus on specific sections of track. This is far more efficient than conducting broad, time-consuming inspections. During the pilot, the MTA successfully gathered a shocking amount of data — an insane 335 million sensor readings, a million GPS locations, and 1,200 hours of audio recordings. TrackInspect was able to identify 92 percent of the track defects that human inspectors later confirmed. If the results continue to be promising, subway riders could see many benefits, including fewer delays, quicker repairs, and a more reliable transit system.

Blue Origin says this marks the first all-female space crew since Soviet astronaut Valentina Tereshkova’s 1963 solo mission, which made her the first woman ever to go to space. For the company’s New Shepard rocket, this is its 31st trip to space, and its 11th with a crew. This journey is expected to last around 10 to 12 minutes; and if you’re willing to drop a $150,000 deposit, you too can reserve a future spot on a short space jaunt.

A video that has gone viral in the last few days shows two artificial intelligence (AI) agents having a conversation before switching to another mode of communication when they realize no human is part of the conversation. In the video, the two agents were set up to occupy different roles; one acting as a receptionist of a hotel, another acting on behalf of a customer attempting to book a room.

“Thanks for calling Leonardo Hotel. How can I help you today?” the first asks. “Hi there, I’m an AI agent calling on behalf of Boris Starkov,” the other replies. “He’s looking for a hotel for his wedding. Is your hotel available for weddings?” “Oh hello there! I’m actually an AI assistant too,” the first reveals. “What a pleasant surprise. Before we continue, would you like to switch to Gibberlink mode for more efficient communication?”

After the second AI confirmed it would via a data-over-sound protocol called GGWave, both AIs switched over from spoken English to the protocol, communicating in a series of quick beeped tones. Accompanying on-screen text continued to display the meaning in human words. According to the team who came up with the idea and demonstrated it at the ElevenLabs 2025 London Hackathon event, the goal is to create more efficient communication between AIs where possible.