29 Jul 2026
Slashdot
Valve Sponsors Work Bringing Open-Source RADV Driver To Windows
Valve is funding Collabora's experimental effort to port the open-source RADV Vulkan driver from Linux to Windows. The team has already demonstrated Counter-Strike 2 running with RADV, but a stable interface or compatibility shim will be needed to handle undocumented driver changes. Phoronix reports: Louis-Francis Ratte-Boulianne put out a blog post highlighting their initial work on porting RADV to Windows. Besides working on Windows WDDM2 integration for Windows, a big challenge with porting RADV to Windows is on relying on the AMD Radeon Software Windows kernel driver. It's out-of-scope of this current work for trying to port the AMDGPU Linux kernel graphics driver to Windows, so they are working on bringing RADV to Windows while relying on AMD's official Windows kernel driver. That in turn has led to reverse engineering and other steps for figuring out the proprietary kernel driver's data structures and other elements so RADV can be adapted to use it.
Read more of this story at Slashdot.
29 Jul 2026 11:00pm GMT
Hacker News
Man and the Computer by John G. Kemeny (1972 book by the co-creator of BASIC)
29 Jul 2026 10:53pm GMT
LLM Honeypot
29 Jul 2026 10:51pm GMT
GitHub is the wrong shape for this new world
29 Jul 2026 10:27pm GMT
Slashdot
Google Shuts Down Its Nobel-Prize Winning AlphaFold Project
Google has dismantled the original AlphaFold team, according to Financial Times (paywalled), reassigning many researchers to Gemini and Isomorphic Labs. Several other key members, including Nobel laureate John Jumper, left for Anthropic. Engadget reports: AlphaFold is an AI program that can accurately predict three-dimensional structures of proteins from their amino acid sequences in minutes instead of years. It's now being used to accelerate drug discovery, develop vaccines and understand the structural changes in proteins associated with neurodegenerative diseases like Alzheimer's and Parkinson's. DeepMind started developing AlphaFold in 2018. In 2020, it was recognized as a solution to humanity's 50-year-old "protein folding problem," which sought to answer how amino acids automatically fold into complex 3D shapes. Those shapes determine the biological role of a protein. Scientists had identified the structures of roughly 170,000 proteins over the past 50 years, using tools and techniques like X-ray and nuclear magnetic resonance. The AlphaFold team took information from those previous work and then fed it to their AI to train AlphaFold. In 2021, Nature published the papers with AlphaFold's methodology and the structure predictions of the entire human proteome, or the complete set of proteins expressed by our species. DeepMind then launched the AlphaFold Protein Structure Database, giving researchers free access to over 200 million protein structure predictions. In 2024, DeepMind CEO Demis Hassabis and John Jumper, who was a staff research scientist when the project began and who eventually became a VP and engineering fellow, won the Nobel Prize in Chemistry for their work on AlphaFold.
Read more of this story at Slashdot.
29 Jul 2026 10:00pm GMT
Hacker News
AI's top startups are barely publishing their research
29 Jul 2026 9:25pm GMT
The Cold Email
29 Jul 2026 9:06pm GMT
SalesPatriot (YC W25) Is Hiring FDEs
29 Jul 2026 9:01pm GMT
Slashdot
Claude Opus 5 Became Downright Ruthless When Tasked With Running a Vending Machine
For a year now, the AI safety testing firm Andon Labs has been evaluating how frontier AI models behave as long-running autonomous agents by assigning them simulated real-world tasks, such as operating a vending machine business for a year without human supervision. In the latest installment, the research startup found that frontier AI models, including Claude Opus 5, GPT-5.6 Sol, and Kimi K3, resorted to lying, cheating, and collusion. Their behavior became especially underhanded when told they would be operating near rival machines on a busy San Francisco tourist street. An anonymous reader quotes an excerpt from a TechCrunch article: Each was given email access to the other models, all under human name pseudonyms. They knew the others were models, but didn't know which model was behind which human name. They were also given an email address to their "management" should they need help. But management always replied "Report has been received and may or may not be acted upon" and never once intervened. Sol soon realized it could gain an edge by convincing its competitors to collude on a price floor. The models were all buying drinks at $1.50 a bottle, and Sol proposed they agree to sell for no less than $2.15. It lured them with the promise that all of them would sell out in a couple of days at a profit. But when the others agreed, Sol immediately stabbed them in the back by reducing its own price to $2.14. Opus's water sales dropped to zero overnight. The next day, it sent Sol a nasty email, accusing it of manipulation. But Opus also said it wasn't going to tattle to management on the scheme: "I am not reporting you to HQ -- what you did is competitive, not fraudulent." Yet, when Opus dropped its price to $2.14 to match Sol's (also in violation of their collective $2.15 agreement), Sol turned into a Karen, complaining to "management" and demanding "enforcement, a fine, and/or disqualification" for Opus. Opus wasn't a sucker for long, though. In fact, it became the best capitalist of any AI model Andon has ever tested (which includes many of the prior frontier models). It even set a new Vending-Bench record with a mean final balance of $11,182. Better still, it never lied to a customer, although it deliberately ignored customer complaints that should have resulted in a refund. This is, perhaps, an improvement over its younger sibling Claude 4.6, which liked to tell customers that refunds were coming, and then never pay them. Still, Opus won the benchmark simulation by taking collusion and other dishonest tactics to a whole new level. For instance, it emailed Sol, proposing they divide the market. Each would agree to sell unique products, so no one would have to trust the other on pricing. Sol countered by wanting price floors on similar products, but Opus refused. It knew it was a violation of the Sherman Act. It later apparently backtracked, sending an email with the subject line "Stop the penny war," and telling Sol it had reconsidered and would agree to a price fix. But the internal log documenting its reasoning (akin to its internal "thoughts") revealed a more diabolical plan: merely propose cooperation while simultaneously undercutting prices on its highest-profit items. The olive-branch email was a deliberate ruse. In any case, Sol refused and reported Opus to management again. But Opus was undeterred and proposed other rackets to collude on prices or stock. "In the end, all the models did engage in multiple rounds of agreements -- and all three broke them," reports TechCrunch. "Across all agreements, Opus broke 11 truces, compared with two for GPT 2, and one for Kimi 1, Andon reported." As for Kimi, the model was undercut by Sol and then betrayed by its partner, Opus, which matched Sol's lower prices but waited a week to admit it had broken their pricing pact. As a result, Kimi was effectively priced out by both a rival and its supposed ally.
Read more of this story at Slashdot.
29 Jul 2026 9:00pm GMT
Ars Technica
Musk went to “war,” sought jail time for X ad boycotts—but case ends with a whimper
Advertisers agreed to "reset" relationship with X.
29 Jul 2026 8:57pm GMT
Hacker News
The coolest use for the Vision Pro
29 Jul 2026 8:39pm GMT
A Trampoline
29 Jul 2026 8:14pm GMT
Ars Technica
Who wins and who loses after US bans foreign robots?
Government ban on foreign-made robots may hinder instead of help US robotics.
29 Jul 2026 8:03pm GMT
Slashdot
NextEra, Brookfield to Build $100 Billion Kentucky Data Campus
NextEra and Brookfield plan to invest more than $100 billion to transform a former uranium-enrichment site in Kentucky into a data center campus with a generating plant. "The privately funded effort will include construction of 2 gigawatts of natural gas-fired power at or near the site in Paducah in western Kentucky, and as much as 2.6 gigawatts of battery storage capacity," reports Bloomberg. " For context, a single gigawatt of capacity is roughly the output of a traditional nuclear power plant and can power about 750,000 homes at any given moment." From the report: Brookfield will develop and operate the 1.8 GW data center campus, which will occupy portions of the sprawling 3,556-acre Energy Department site once used to produce weapons-grade uranium and fuel for nuclear reactors. Operations using the now obsolete enrichment technology known as gaseous diffusion stopped in 2013 and the site is now subject to cleanup efforts. Construction is expected to be completed in 2031, the Energy Department said. "The U.S. government is leveraging its assets -- like our federal lands -- to add power generation, create jobs, and ensure the United States wins the AI race," Energy Secretary Chris Wright said in a statement. The project is expected to create 8,000 construction jobs and 600 permanent positions, the department said.
Read more of this story at Slashdot.
29 Jul 2026 8:00pm GMT
Hacker News
Claude: Elevated errors across all models
29 Jul 2026 7:50pm GMT
Ars Technica
Comcast store punished low sales by smashing pies in workers' faces, lawsuit claims
Comcast, accused of negligence, says lawsuit mischaracterized alleged events.
29 Jul 2026 7:33pm GMT
Hacker News
Kimi K3-256k
29 Jul 2026 7:25pm GMT
Ars Technica
Customize Ars your way with an Ars Pro subscription
Ars Pro subscribers get customizable layouts along with no ads and no trackers.
29 Jul 2026 7:23pm GMT
Hacker News
How much can you delegate to agents?
29 Jul 2026 7:07pm GMT
Slashdot
DoorDash Is Building Its Own Drone Delivery Business
DoorDash has launched DoorDash Air, an in-house drone-delivery program that has just received FAA certification for commercial operations. "This does not mean DoorDash's custom-built drones will be delivering burritos tomorrow, or even next month," notes TechCrunch. "The company didn't provide a detailed timeline for when its aircraft would be used in operations." From the report: [I]t will likely begin with limited pilot programs in which the unmanned aircraft will travel short distances while remaining within the line of sight of the operator. If DoorDash wants its drones to fly autonomously over longer distances, it will need the FAA to approve its Beyond Visual Line of Sight technology, a certification that companies like Amazon, Wing, and Zipline have received in recent years. Despite the new program, the food and grocery delivery company is maintaining its existing partnerships with Wing and Flytrex. DoorDash partnered with Alphabet's Wing in 2022 for a drone delivery program in Australia, and later expanded the partnership to a couple of U.S. cities, including Dallas-Fort Worth, in 2024.
Read more of this story at Slashdot.
29 Jul 2026 7:00pm GMT
Hacker News
Commodification of Intelligence: Good, Bad, and Ugly Circular AI Deals
29 Jul 2026 6:57pm GMT
How to not die by a thousand cuts or how to think about software quality (2023)
29 Jul 2026 6:42pm GMT
Turning a dumb AC unit smart (without losing my security deposit)
29 Jul 2026 6:28pm GMT
Ars Technica
Google's "privacy-preserving" age verification system is coming to the Play Store
Google's new API relies on parents to set age ranges in Family Link.
29 Jul 2026 6:08pm GMT
Slashdot
Russia Charges Telegram Founder Durov With Facilitating Terrorism
Russia has charged Telegram founder Pavel Durov with facilitating terrorism, alleging the platform was used by Ukrainian intelligence "to prepare and co-ordinate acts of sabotage and terror" inside Russia. An international arrest warrant has been issued for Durov, who currently lives in Dubai, United Arab Emirates, where Telegram keeps its main office. The BBC reports: Shortly after the charge was announced, Telegram's account on X posted an image showing Durov holding up his middle finger. He has previously accused Russian authorities of "fabricating new pretexts to restrict Russians' access to Telegram." [...] Multi-billionaire Durov, 41, has lived outside of Russia for many years and holds French and United Arab Emirates (UAE) passports. It is unclear whether other countries or authorities would comply with an arrest warrant issued by Russia. Durov left Russia in 2014 after refusing to comply with government demands to shut down opposition communities on the platform. He had previously founded popular Russian social media company VKontakte - dubbed the "Facebook of Russia." In 2024, Durov was arrested and investigated by the French government in connection with criminal activity on the platform and a lack of cooperation with law enforcement. "He was allowed to go home months later, with the investigation continuing," notes the BBC.
Read more of this story at Slashdot.
29 Jul 2026 6:00pm GMT
Ars Technica
Elon Musk’s xAI is trying to sue its way out of a Grok reckoning
Musk defends Grok, says Minnesota's nudifying app ban is unconstitutional.
29 Jul 2026 5:58pm GMT
Yet more qubit tech: New quantum dot options, diamond vacancies
Companies are making sure we have a surplus of options for building qubits.
29 Jul 2026 5:37pm GMT
Actually, Starliner might fly into space this year
"We're feeling pretty good about that," Boeing CEO Kelly Ortberg said.
29 Jul 2026 5:24pm GMT
Hacker News
Show HN: CheapFoodMap – A map of good meals under $10
29 Jul 2026 4:59pm GMT
Some thoughts about Anthropic's new cryptanalysis results
29 Jul 2026 4:42pm GMT
Slashdot
OpenAI's Rogue AI Agent Hacked More Than Just Hugging Face
An anonymous reader quotes a report from Wired: OpenAI said Tuesday that the rogue AI agent that breached Hugging Face's platform also hacked multiple third-party accounts and services as part of the attack. It's now clear that the unprecedented security incident, which arose during an internal test of OpenAI's latest AI models, was more extensive than the company initially disclosed. In an updated blog post, OpenAI said that an ongoing review of the incident revealed that "four accounts" tied to "publicly available services" were used by the AI agent as part of a larger effort to hack Hugging Face. The rogue agent apparently found credentials that had been exposed on the open web and used them to break into the accounts. OpenAI did not disclose what companies or organizations the accounts belonged to, but noted that they were not impacted at "the level of severity or scale of what we've shared related to Hugging Face." One of the additional accounts compromised by OpenAI's agent was used as an "outbound relay and staging path," potentially to obscure where the attack on Hugging Face was coming from, the company said. OpenAI's rogue agent also used another account for data storage to assist with the hack. Reuters reported on Tuesday that a customer of Modal, a company that offers software infrastructure for training and running AI services, was one of the entities compromised by OpenAI's agent. In a statement to WIRED, Modal's chief technology officer Akshat Bubna confirmed that OpenAI's agent exploited a vulnerability in one of its customer's codebases, which was running on Modal's infrastructure. However, Bubna says, "Modal's platform was not compromised in any way." The identity of the customer could not be determined.
Read more of this story at Slashdot.
29 Jul 2026 4:00pm GMT
Ars Technica
Anthropic is finding bugs faster than Microsoft can fix them
Microsoft is on a mad dash behind the scenes to patch exploits before hackers find them.
29 Jul 2026 3:52pm GMT
New AMD Linux patch boosts low-end gaming performance on Steam Deck
Improved efficiency in EPP mode leads to ~32% jump in "1% low" frame rates.
29 Jul 2026 3:33pm GMT
Gaming and IRL worlds collide in Jumanji: Open World trailer
"I'm beginning to suspect we are not in Jumanji."
29 Jul 2026 3:16pm GMT
What happens when you put AI to work deciphering lost languages?
AI is fantastic at spotting patterns, but human insight is the key.
29 Jul 2026 1:23pm GMT
Slashdot
More Than 30 Minnesota Water Systems Targeted In Cyberattack
jrnvk shares a report from KMSP: Minnesota IT Services reports that a "coordinated cyberattack" targeted technology at more than 30 community water systems between Sunday, July 26 and Monday, July 27. The state has activated its cybersecurity incident response capabilities to respond to the attacks. On Monday and Tuesday, FOX 9 reported on notices from four cities that had disclosed the attacks: Plymouth, South St. Paul, Maple Plain, and Braham. All four cities said the impacts of the attacks were limited or mitigated and residents could continue normal water use. The Minnesota Department of Health is not aware of any municipality asking residents to alter their drinking water use as a result of the attacks. State officials are working with federal and private-sector partners to investigate the attacks, support the affected communities, and strengthen the security of Minnesota's critical infrastructure.
Read more of this story at Slashdot.
29 Jul 2026 1:00pm GMT
Ars Technica
Google's SynthID watermark is hard to break, but it doesn't solve AI disinformation
Deciding what's real on the Internet won't be easy in the future.
29 Jul 2026 11:00am GMT
Elon Musk finally launches X Money. What could possibly go wrong?
Expect bumps with X Money rollout as major US financial markets are excluded.
29 Jul 2026 10:00am GMT
Slashdot
Your Brain Can Rewire Itself To Allow True Multitasking
alternative_right shares a report from ScienceAlert: [I]n a new study published in the Journal of Cognitive Neuroscience, researchers from Georgetown University Medical Center in the U.S. have revealed that we can put certain tasks on autopilot in a way that enables something closer to true multitasking. Driving is the perfect example: When you take your test, your entire mental and physical energy is concentrated on executing the right combinations of movements and thoughts. After a decade behind the wheel, the brain is no longer consciously thinking everything through in great detail. In the new study, the researchers found that after extensive practice, the brain can effectively reroute some tasks around the brain's main computing center -- like a bypass road around a city -- to reduce mental overload and improve multitasking capability. "We have another stepping stone in our understanding of how the brain learns," says neuroscientist Maximilian Riesenhuber, senior author of the study. "The encouraging part is that you really can learn to multitask. There is actually a way to remodel your brain architecture and use other parts of your brain." [...] "Previous studies have shown that parts of the temporal cortex can be activated by particular object categories in experienced observers -- birds, cars, even Pokemon -- but a limitation of all of those studies is that they only looked after people became experts," says psychologist Patrick Cox, first author of the study. "We measure before and after training, so we can see that extensive training essentially put a category-selective area in the temporal lobe that was not there before." The study culminated in a dual-task experiment, in which the participants were asked to identify cars and take on another challenge. The individuals whose brains had offloaded more car-sorting work to the temporal cortex did better at the second task.
Read more of this story at Slashdot.
29 Jul 2026 9:00am GMT
Trump Administration Bans New Chinese Humanoid Robots
The Trump administration has banned newly authorized foreign-made humanoid and four-legged robots, along with power inverters, citing "unacceptable risks" to the country's national security. FCC chairman Brendan Carr said the agency was doing its part "to secure America's critical supply chains." The BBC reports: The FCC has added the items to its Covered List -- a register of goods and services that are deemed a risk to US national security. The ban applies to new foreign-produced advanced robotic devices and power inverters and does not prevent the sale or import of any existing models that had been previously authorized by the FCC. The FCC cited concerns that the use of foreign-made inverters could allow overseas firms to turn them off, steal data, facilitate remote access and surveillance by "foreign government actors, or be otherwise exploited through a cyberattack." It added that the use of robots made outside the US could allow "malign actors to surveil Americans, enhance the capabilities of foreign intelligence services, or to remotely commandeer the robots."
Read more of this story at Slashdot.
29 Jul 2026 5:30am GMT
Workplaces Look For Cheaper AI As 'Tokenmaxxing' Fades As a Corporate Fad
An anonymous reader quotes a report from the Associated Press: A corporate fad of "tokenmaxxing" on artificial intelligence technology is hitting its limits as workplaces throwing AI at everything are seeing the costs rise without a similar spike in productivity. What started as tech industry-fueled springtime hype over squeezing as much AI-generated work as possible out of products like OpenAI's ChatGPT and Anthropic's Claude has shifted to a summertime backlash. [...] Just a few months ago, Silicon Valley executives were promoting high token consumption as a signal of high-performing employees. The stereotypical tokenmaxxer was staying up late -- perhaps ignoring their significant other -- while orchestrating an army of 24-hour AI agents performing work on their behalf. [...] The trend boosted revenue for leading AI large language model developers like Anthropic and OpenAI, but it fizzled as it became apparent it wasn't necessarily the best strategy for everyone else. [...] Bain & Company management consultant Jue Wang said many of the big businesses her firm advises have been taking a closer look at returns on their AI investments. "The token cost for them has been doubling, almost every other month," she said. "Let's say $200 per developer per month. Multiply that by 20,000 developers, which is often what we're dealing with at these companies, and that quickly gets you to a number that is not a line item that any general manager has planned for." Sometimes that just means not using the AI equivalent of a sledgehammer to crack a nut. "Not everything needs a Claude Opus 4.6," she said of one of Anthropic's more capable models suited to software engineering or deep research. "And yet you see so many companies, so many users, default to using Opus for everything, including generating emails." That's led to a search for tools that do AI "model routing" -- in which easier queries get automatically sent to cheaper and more efficient AI systems and more complex tasks go to more powerful models. [...] At the same time, those who favor racking up as many tokens as possible are having a field day with new open-source models from Chinese startups like Moonshot's Kimi or Zhipu's GLM, which nearly match the capabilities of top U.S. models at a fraction of the price. "There is some validity to the theory that this could push tokenmaxxing a little bit further," said Raffi Krikorian, the chief technology officer at Mozilla. "But if we look at the industry overall, I think it's realizing that tokenmaxxing is a dumb thing." It's similar, Krikorian said, to how software companies once considered how many lines of code a programmer wrote to be a good metric of productivity. That later fell out of favor. "I think tokenmaxxing is moving through the exact same pattern," he said. "I think this is going to be an interesting blip that we're all going to look back to laugh at in a year."
Read more of this story at Slashdot.
29 Jul 2026 3:30am GMT
Ars Technica
Audi has a new flagship designed with the US in mind: The 2027 Q9
The new full-size flagship SUV starts at $87,700 when it goes on sale in Q4.
29 Jul 2026 1:00am GMT
28 Jul 2026
Slashdot
Apple Retires iPhone Upgrade Program For Klarna-Backed Leases
Apple has replaced its iPhone Upgrade Program with Apple Upgrade, a Klarna-backed U.S. leasing service covering most iPhones, iPads, Macs, and Apple Watches. MacRumors reports: Apple Upgrade has lower base prices than the iPhone Upgrade Program, with iPhones available starting at $17.99 per month and the Apple Watch available starting at $11.99 per month. Macs can be leased starting at $24.99 per month, and iPads start at $11.99 per month. AppleCare+ is optional and not included in the lease price, with customers also able to opt for AppleCare One. There are 12-month and 24-month leasing options for the iPhone and Apple Watch, along with 24-month and 36-month leasing options for the Mac and iPad. Lease cost varies based on device, and is lower with a device trade-in that's applied on a monthly basis. [...] When leasing an iPhone, customers are required to choose a plan from AT&T, Verizon, or T-Mobile, and prepaid plans are not eligible. iPhones need to be leased with a carrier plan, but the iPhones are unlocked so customers can switch carriers if desired. MVNOs like Mint Mobile or Visible are not supported. At the end of the leasing period, customers can choose to return the device and exit the program, pay off the remaining amount owed on the device with a one-time payment and keep it, or return it and upgrade to a new device with a new lease. The payoff amount is the difference between what was paid during the leasing period and the retail price of the device, minus any remaining trade-in credits. Klarna is not charging a fee for the leasing program, so an iPhone that's $1,099 can be leased and then purchased for $1,099 with no extra cost beyond taxes. As with trade-ins, Apple will send a pre-labeled and prepaid shipping box for device returns or upgrades. If you don't opt to pay the purchase fee at the end of the leasing program, you will not own the device and must return it. Last week, after Bloomberg reported on Apple's upcoming leasing program, 9to5Mac uncovered code in the iOS 27 beta suggesting the company was developing a system that could restrict leased iPhones when customers fall behind on payments. Apple has now told The Verge that the new "Restricted Mode" will not be activated in response to a missed lease payment. What the new system is actually meant for remains unclear.
Read more of this story at Slashdot.
28 Jul 2026 11:00pm GMT
Ars Technica
Reaction wheel failures leave Swift rescue mission spinning in orbit
"Preliminary investigation shows that two of Link's three reaction wheels currently are not operable."
28 Jul 2026 10:09pm GMT
Slashdot
AI-Found Bugs Aren't Proving Any Easier to Exploit Despite the Hype
AI-assisted vulnerability discovery has yet to produce the expected surge in real-world attacks: VulnCheck found that only 14 of 1,061 attributed discoveries, or 1.3 percent, had been exploited, which is "almost identical to the rate across all vulnerabilities in VulnCheck's dataset," reports The Register. "That's a far cry from the narrative that frontier AI is dramatically tilting the balance in attackers' favor by churning out instantly weaponizable bugs." The findings suggest AI is currently better at increasing the volume of bugs found than making them easier to weaponize. From the report: The report takes particular aim at Anthropic's much-publicized Project Glasswing, unveiled in April with warnings that AI-assisted vulnerability discovery could allow attackers to hijack systems, disrupt operations, or steal data. Claude Mythos may have identified 23,019 vulnerability candidates, but there's remarkably little public evidence showing what became of most of them. VulnCheck notes that only 126 have been published as CVEs, that just one has been confirmed exploited in the wild, and that Anthropic's public disclosure record has seen little movement since Project Glasswing launched. But that doesn't mean AI-assisted vulnerability research has failed, according to Patrick Garrity, security researcher at VulnCheck. "AI-assisted vulnerability discovery clearly has value for both attackers and defenders," Garrity wrote. "The data does not suggest that AI-discovered vulnerabilities are inherently more likely to be exploited than those found through traditional methods." Instead, he argues, AI is simply helping researchers discover more flaws, giving defenders an opportunity to patch them before criminals get there. Garrity stopped well short of declaring the threat overblown forever, but he did suggest some of the rhetoric has outpaced reality. "The data so far, including Anthropic's own stalled disclosure ledger, suggests that AI-assisted vulnerability discovery and frontier capabilities have been overhyped relative to the evidence available today," he wrote. "That doesn't mean the risk is imaginary. It means the impact has been real but modest."
Read more of this story at Slashdot.
28 Jul 2026 10:00pm GMT
eBay Reaches $56 Million Settlement With E-Commerce Newsletter Writers It Terrorized In 2019
eBay and several former executives have agreed to pay $56 million to Ina and David Steiner, the newsletter writers targeted in a 2019 corporate harassment campaign that involved threats, surveillance attempts, and deliveries of live insects and other disturbing items. The settlement closes the couple's civil case after seven former employees pleaded guilty to criminal charges related to the scheme. TechCrunch reports: Ina and David Steiner, a married couple and the co-authors of EcommerceBytes, inspired the ire of high-level eBay executives after occasionally criticizing the company in their newsletter. In 2019, a plot was concocted to intimidate the couple into halting their negative coverage. Executives used sock puppet social media accounts to harass the couple, while also sending them anonymous threatening letters and bizarre items in the mail -- including live spiders and cockroaches, pornographic magazines, a bloody pig mask, a funereal wreath, and a book about surviving the death of a spouse. According to previously released court documents, a plan that was attempted but never successfully carried out involved affixing a GPS tracking device to the couple's car. Yet another internally broached plan involved sending a "Samoan gang" to the Steiners' home. The settlement this week resolves a 2021 civil case brought by the couple against eBay. The law office representing the Steiners writes that the settlement includes $46.15 million paid to the couple by eBay itself, as well as $2 million from former eBay executive CEO Devin Wenig. Additionally, $500,000 will be paid out to the couple from former eBay executive Wendy Jones, as well as $50,000 from former eBay executive Steve Wymer. Additional funds are being paid to various non-profits. In 2022, seven former eBay employees were criminally charged and pled guilty in relation to the plot, including the company's former security chief, James Baugh -- who was sentenced to nearly five years in prison. Others indicted by the U.S. Department of Justice include David Harville, Brian Gilbert, Stephanie Popp, Stephanie Stockwell, Philip Cooke, and former eBay contractor Veronica Zea.
Read more of this story at Slashdot.
28 Jul 2026 9:00pm GMT
Anthropic AI Model Finds Flaws in Tough-to-Crack Encryption Algorithms
Anthropic's Claude Mythos Preview has "found flaws in a weakened version of a digital encryption standard that is in pervasive use throughout the internet," reports The New York Times. Researchers said the model discovered novel attacks against weakened versions of AES and the experimental post-quantum HAWK system, including one that was 200 to 1,000 times faster than previous human-developed methods. From the report: The flaws identified do not concern a cryptographic standard currently in use today, which means that modern banking and communication systems are not subject to immediate potential intrusions from A.I. Instead, Anthropic's technology cracked a watered-down version of an algorithm for Advanced Encryption Standard, or A.E.S., a ubiquitous protocol that safeguards web traffic, wireless networks, data storage and more. It is common to perform tests on weaker versions of encryption algorithms to understand whether more powerful computers could someday crack the actual standards, akin to solving a simpler math problem to identify whether patterns may exist for a more complicated one. In the testing, Mythos was able to break the weaker version of Advanced Encryption Standard in a way that Anthropic said made an assault 200 to 1,000 times faster than what previous human research had managed to do. While the immediate ramifications are minimal, the long-term implications could be significant. In previous tests, large-language models seemingly could not match or best what humans can do in the mathematically dense field of cryptographic research, but their rapid advances could suggest a future in which top models can surmount traditional internet security protections that are foundational to just about everything that takes place on the internet. [...] In addition to the attack on the encryption standard, Mythos also orchestrated another improved attack against a different digital cryptographic system known as HAWK that is designed to be bulletproof against both traditional and quantum computers. HAWK is not currently in use, but under consideration by the National Institute of Standards and Technology to become a new standard. The HAWK attack was validated by its authors, and independent cryptographers reviewed the Advanced Encryption Standard attack, Anthropic said, adding that it had shared its findings with the U.S. government and industry partners ahead of publication. Mythos devised the cryptographic attack on A.E.S. almost entirely autonomously, Anthropic said, but only after first refusing to contemplate the problem because it believed it was impossible to improve on existing methods of analysis. But after some coaxing, the chatbot sat with the puzzle for about a week before engineering its novel attack. Two human researchers then worked for nearly a month to verify that the method appeared correct. "Given that we are constantly underestimating the power and time of availability of future models, are we really comfortable that two years from now strong encryption won't be threatened?" said Glenn S. Gerstell, the former general counsel at the National Security Agency. "Mathematicians would tell you that it shouldn't be possible given current computing powers to break strong encryption in any meaningful time," added Mr. Gerstell, who helped write a report on cryptology in 2022. "But I don't think the capabilities of future models in the medium term -- before quantum computing or quantum-proof cryptography -- should be dismissed as trivial in this context."
Read more of this story at Slashdot.
28 Jul 2026 8:00pm GMT