Early termination fees are "a bit like heroin for Adobe,” according to an Adobe executive quoted in the FTC’s newly unredacted complaint against the company for allegedly hiding fees and making it too hard to cancel Creative Cloud. “There is absolutely no way to kill off ETF or talk about it more obviously” in the order flow without “taking a big business hit,” this executive said. That’s the big reveal in the unredacted complaint, which also contains previously unseen allegations that Adobe was internally aware of studies showing its order and cancellation flows were too complicated and customers were unhappy with surprise early termination fees.

Boeing Starliner is apparently still stuck at the ISS, six weeks longer than planned due to engine troubles. The root cause seems to be overheating. NASA is still hopeful that they can bring the two astronauts back on the Starliner, but if not apparently there is a SpaceX Dragon craft docked at the station that can get them home. This is another in a long list of high profile failures by Boeing. This comes after a series of failures in their popular commercial aircraft including undocumented flight system modifications causing crashes of the 737 MAX, doors blowing out in mid-flight, and parts falling off the aircraft. The latter decimated a Toyota in a populated area.

NASA researchers have successfully tested laser communications in space by streaming 4K video footage originating from an airplane in the sky to the International Space Station and back. The feat demonstrates that the space agency could provide live coverage of a Moon landing during the Artemis missions and bodes well for the development of optical communications that could connect humans to Mars and beyond. NASA normally uses radio waves to send data and talk between the surface to space but says that laser communications using infrared light can transmit data 10 to 100 times faster than radios.

Since the beginning of the generative AI boom, content creators have argued that their work has been scraped into AI models without their consent. But until now, it has been difficult to know whether specific text has actually been used in a training data set. Now they have a new way to prove it: "copyright traps" developed by a team at Imperial College London, pieces of hidden text that allow writers and publishers to subtly mark their work in order to later detect whether it has been used in AI models or not. The idea is similar to traps that have been used by copyright holders throughout history — strategies like including fake locations on a map or fake words in a dictionary. […] The code to generate and detect traps is currently available on GitHub, but the team also intends to build a tool that allows people to generate and insert copyright traps themselves.

Google says it recently fixed an authentication weakness that allowed crooks to circumvent the email verification required to create a Google Workspace account, and leverage that to impersonate a domain holder at third-party services that allow logins through Google’s “Sign in with Google” feature. […] Google Workspace offers a free trial that people can use to access services like Google Docs, but other services such as Gmail are only available to Workspace users who can validate control over the domain name associated with their email address. The weakness Google fixed allowed attackers to bypass this validation process. Google emphasized that none of the affected domains had previously been associated with Workspace accounts or services.

“The tactic here was to create a specifically-constructed request by a bad actor to circumvent email verification during the signup process,” [said Anu Yamunan, director of abuse and safety protections at Google Workspace]. “The vector here is they would use one email address to try to sign in, and a completely different email address to verify a token. Once they were email verified, in some cases we have seen them access third party services using Google single sign-on.” Yamunan said none of the potentially malicious workspace accounts were used to abuse Google services, but rather the attackers sought to impersonate the domain holder to other services online.

Although the interests of stopping contraband are “undoubtedly served when the government searches the luggage or pockets of a person crossing the border carrying objects that can only be introduced to this country by being physically moved across its borders, the extent to which those interests are served when the government searches data stored on a person’s cell phone is far less clear,” the judge declared. Morrison noted that “reviewing the information in a person’s cell phone is the best approximation government officials have for mindreading,” so searching through cellphone data has an even heavier privacy impact than rummaging through physical possessions. Therefore, the court ruled, a cellphone search at the border requires both probable cause and a warrant. Morrison did not distinguish between scanning a phone’s contents with special software and manually flipping through it.

And in a victory for journalists, the judge specifically acknowledged the First Amendment implications of cellphone searches too. She cited reporting by The Intercept and VICE about CPB searching journalists’ cellphones “based on these journalists’ ongoing coverage of politically sensitive issues” and warned that those phone searches could put confidential sources at risk. Wednesday’s ruling adds to a stream of cases restricting the feds’ ability to search travelers’ electronics. The 4th and 9th Circuits, which cover the mid-Atlantic and Western states, have ruled that border police need at least "reasonable suspicion" of a crime to search cellphones. Last year, a judge in the Southern District of New York also ruled (PDF) that the government “may not copy and search an American citizen’s cell phone at the border without a warrant absent exigent circumstances.”

The NVIDIA open-source kernel driver modules shipped by their driver installer and also available via their GitHub repository are in great shape. With the R555 series the support and performance is basically at parity of their open-source kernel modules compared to their proprietary kernel drivers. […] Across a range of different GPU-accelerated creator workloads, the performance of the open-source NVIDIA kernel modules matched that of the proprietary driver. No loss in performance going the open-source kernel driver route. Across various professional graphics workloads, both the NVIDIA RTX A2000 and A4000 graphics cards were also achieving the same performance whether on the open-source MIT/GPLv2 driver or using NVIDIA’s classic proprietary driver.

Across all of the tests I carried out using the NVIDIA 555 stable series Linux driver, the open-source NVIDIA kernel modules were able to achieve the same performance as the classic proprietary driver. Also important is that there was no increased power use or other difference in power management when switching over to the open-source NVIDIA kernel modules.

It’s great seeing how far the NVIDIA open-source kernel modules have evolved and that with the upcoming NVIDIA 560 Linux driver series they will be defaulting to them on supported GPUs. And moving forward with Blackwell and beyond, NVIDIA is just enabling the GPU support along their open-source kernel drivers with leaving the proprietary kernel drivers to older hardware. Tests I have done using NVIDIA GeForce RTX 40 graphics cards with Linux gaming workloads between the MIT/GPL and proprietary kernel drivers have yielded similar (boring but good) results: the same performance being achieved with no loss going the open-source route.

Not long after Windows PCs and servers at the Australian limb of audit and tax advisory Grant Thornton started BSODing last Friday, senior systems engineer Rob Woltz remembered a small but important fact: When PCs boot, they consider barcode scanners no differently to keyboards. That knowledge nugget became important as the firm tried to figure out how to respond to the mess CrowdStrike created, which at Grant Thornton Australia threw hundreds of PCs and no fewer than 100 servers into the doomloop that CrowdStrike’s shoddy testing software made possible. […] The firm had the BitLocker keys for all its PCs, so Woltz and colleagues wrote a script that turned them into barcodes that were displayed on a locked-down management server’s desktop. The script would be given a hostname and generate the necessary barcode and LAPS password to restore the machine.

Woltz went to an office supplies store and acquired an off-the-shelf barcode scanner for AU$55 ($36). At the point when rebooting PCs asked for a BitLocker key, pointing the scanner at the barcode on the server’s screen made the machines treat the input exactly as if the key was being typed. That’s a lot easier than typing it out every time, and the server’s desktop could be accessed via a laptop for convenience. Woltz, Watson, and the team scaled the solution — which meant buying more scanners at more office supplies stores around Australia. On Monday, remote staff were told to come to the office with their PCs and visit IT to connect to a barcode scanner. All PCs in the firm’s Australian fleet were fixed by lunchtime — taking only three to five minutes for each machine. Watson told us manually fixing servers needed about 20 minutes per machine.

RFK Jr. said: “I will sign an executive order directing the US Treasury to purchase 550 Bitcoin daily until the US has built a reserve of at least 4,000,000 Bitcoins and a position of dominance that no other country will be able to usurp.”

The executive order “built on voluntary commitments” was supported by 15 leading AI companies last year. The White House said the agencies have taken steps “to mitigate AI’s safety and security risks, protect Americans’ privacy, advance equity and civil rights, stand up for consumers and workers, promote innovation and competition, advance American leadership around the world, and more.” It’s a White House effort to mobilize government “to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence,” according to the White House.

Researchers at Truffle Security have found, or arguably rediscovered, that data from deleted GitHub repositories (public or private) and from deleted copies (forks) of repositories isn’t necessarily deleted. Joe Leon, a security researcher with the outfit, said in an advisory on Wednesday that being able to access deleted repo data — such as APIs keys — represents a security risk. And he proposed a new term to describe the alleged vulnerability: Cross Fork Object Reference (CFOR). “A CFOR vulnerability occurs when one repository fork can access sensitive data from another fork (including data from private and deleted forks),” Leon explained.

For example, the firm showed how one can fork a repository, commit data to it, delete the fork, and then access the supposedly deleted commit data via the original repository. The researchers also created a repo, forked it, and showed how data not synced with the fork continues to be accessible through the fork after the original repo is deleted. You can watch that particular demo [here].

According to Leon, this scenario came up last week with the submission of a critical vulnerability report to a major technology company involving a private key for an employee GitHub account that had broad access across the organization. The key had been publicly committed to a GitHub repository. Upon learning of the blunder, the tech biz nuked the repo thinking that would take care of the leak. “They immediately deleted the repository, but since it had been forked, I could still access the commit containing the sensitive data via a fork, despite the fork never syncing with the original ‘upstream’ repository,” Leon explained. Leon added that after reviewing three widely forked public repos from large AI companies, Truffle Security researchers found 40 valid API keys from deleted forks.

If you drive a car made by General Motors and it has an internet connection, your car’s movements and exact location are being collected and shared anonymously with a data broker. This practice, disclosed in a letter (PDF) sent by Senators Ron Wyden of Oregon and Edward J. Markey of Massachusetts to the Federal Trade Commission on Friday, is yet another way in which automakers are tracking drivers (source may be paywalled; alternative source), often without their knowledge. Previous reporting in The New York Times which the letter cited, revealed how automakers including G.M., Honda and Hyundai collected information about drivers’ behavior, such as how often they slammed on the brakes, accelerated rapidly and exceeded the speed limit. It was then sold to the insurance industry, which used it to help gauge individual drivers’ riskiness.

The two Democratic senators, both known for privacy advocacy, zeroed in on G.M., Honda and Hyundai because all three had made deals, The Times reported, with Verisk, an analytics company that sold the data to insurers. In the letter, the senators urged the F.T.C.‘s chairwoman, Lina Khan, to investigate how the auto industry collects and shares customers’ data. One of the surprising findings of an investigation by Mr. Wyden’s office was just how little the automakers made from selling driving data. According to the letter, Verisk paid Honda $25,920 over four years for information about 97,000 cars, or 26 cents per car. Hyundai was paid just over $1 million, or 61 cents per car, over six years. G.M. would not reveal how much it had been paid, Mr. Wyden’s office said. People familiar with G.M.‘s program previously told The Times that driving behavior data had been shared from more than eight million cars, with the company making an amount in the low millions of dollars from the sale. G.M. also previously shared data with LexisNexis Risk Solutions.

2U was a pioneer in the online education space, joining with schools including the University of Southern California, Georgetown University and the University of North Carolina at Chapel Hill to design and operate online courses in fields including nursing and social work. But it struggled in recent years amid new competition and changing regulations. It also had a highly leveraged balance sheet with looming loan-repayment deadlines. 2U closed Wednesday with a market value of about $11.5 million, down from more than $5 billion in 2018.