sciencehabit shares a report from Science: Water is a near-universal solvent, able to dissolve substances ranging from limestone to the sugar in your coffee. That chemical superpower originates, oddly enough, in water's electrical properties. It can oppose and almost entirely cancel electric fields -- including attractions among dissolved ions that might otherwise pull them together. Curiously, dissolving salt in water weakens that electrical response. Now, a team of physicists has figured out exactly why this happens, using state-of-the-art computer simulations bolstered by artificial intelligence (AI).

'This is a fundamental property of water and one can finally do a calculation in which this can be entirely predicted from first principles,' says Roberto Car, a physicist at Princeton University who was not involved in the work. The AI-aided approach should allow physicists to probe in other settings, he says, such as batteries and fuel cells. [...] The results show that most of the salinity effect comes from the disruption of the clustering and correlations produced by hydrogen bonding, the team reports in a paper in press at Physical Review Letters. The researchers can pull out even more detail, explaining exactly how disruptions propagating through the network of water molecules make the dielectric constant vary with the salt concentration in a complex, nonlinear way.

"They can distinguish all the different contributions and identify which effect is dominant over the other," Car says. Yuki Nagata, a physicist at the Max Planck Institute for Polymer Research, says, "This is more or less conclusive." More important than this specific result may be the AI-based method, Nagata adds. It could be used for more practical problems, such as analyzing the interactions of water with membranes or surfaces. Zhang says she's doing just that, analyzing the splitting of water into hydrogen and oxygen along the surface of a titanium dioxide catalyst, one potential way to generate hydrogen for fuel.

Katie Malone writes via Engadget: "Tor" evokes an image of the dark web; a place to hire hitmen or buy drugs that, at this point, is overrun by feds trying to catch you in the act. The reality, however, is a lot more boring than that -- but it's also more secure. The Onion Router, now called Tor, is a privacy-focused web browser run by a nonprofit group. You can download it for free and use it to shop online or browse social media, just like you would on Chrome or Firefox or Safari, but with additional access to unlisted websites ending in .onion. This is what people think of as the "dark web," because the sites aren't indexed by search engines. But those sites aren't an inherently criminal endeavor.

"This is not a hacker tool," said Pavel Zoneff, director of strategic communications at The Tor Project. "It is a browser just as easy to use as any other browser that people are used to." That's right, despite common misconceptions, Tor can be used for any internet browsing you usually do. The key difference with Tor is that the network hides your IP address and other system information for full anonymity. This may sound familiar, because it's how a lot of people approach VPNs, but the difference is in the details. VPNs are just encrypted tunnels hiding your traffic from one hop to another. The company behind a VPN can still access your information, sell it or pass it along to law enforcement. With Tor, there's no link between you and your traffic, according to Jed Crandall, an associate professor at Arizona State University. Tor is built in the "higher layers" of the network and routes your traffic through separate tunnels, instead of a single encrypted tunnel. While the first tunnel may know some personal information and the last one may know the sites you visited, there is virtually nothing connecting those data points because your IP address and other identifying information are bounced from server to server into obscurity.

Accessing unindexed websites adds extra perks, like secure communication. While a platform like WhatsApp offers encrypted conversations, there could be traces that the conversation happened left on the device if it's ever investigated, according to Crandall. Tor's communication tunnels are secure and much harder to trace that the conversation ever happened. Other use cases may include keeping the identities of sensitive populations like undocumented immigrants anonymous, trying to unionize a workplace without the company shutting it down, victims of domestic violence looking for resources without their abuser finding out or, as Crandall said, wanting to make embarrassing Google searches without related targeted ads following you around forever.

Intel reported second-quarter earnings on Thursday, including a return to profitability after two straight quarters of losses, and a stronger-than-expected forecast. CNBC reports: For the third quarter, Intel expects earnings of $0.20 per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or earnings of $0.35 per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year.

Intel CFO David Zinsner said in a statement that part of the reason that Intel's report was stronger than expected was because of the progress it has made towards slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. Revenue fell to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales for the company.

Here's how Intel's business units performed:
- Intel's Client Computing group, which includes the company's laptop and desktop processor shipments, fell 12% annually to $6.8 billion.The overall PC market has been slumping for over a year.
- Intel's server chip division, which is reported as Data Center and AI, declined 15% to $4.0 billion in sales.
- Intel's Network and Edge division, which sells networking products for telecommunications, declined 28% to $1.4 billion.
- Mobileye, a publicly-traded Intel subsidiary focusing on self-driving cars, saw sales down 1% on an annual basis to $454 million.
- It reported $232 million in revenue for its foundry business, Intel Foundry Services, that makes chips for other companies.

An anonymous reader quotes a report from Ars Technica: When Google announced that trackers would be able to tie in to its 3 billion-device Bluetooth tracking network at its Google I/O 2023 conference, it also said that it would make it easier for people to avoid being tracked by trackers they don't know about, like Apple AirTags. Now Android users will soon get these "Unknown Tracker Alerts." Based on the joint specification developed by Google and Apple, and incorporating feedback from tracker-makers like Tile and Chipolo, the alerts currently work only with AirTags, but Google says it will work with tag manufacturers to expand its coverage.

For now, if an AirTag you don't own "is separated from its owner and determined to be traveling with you," a notification will tell you this and that "the owner of the tracker can see its location." Tapping the notification brings up a map tracing back to where it was first seen traveling with you. Google notes that this location data "is always encrypted and never shared with Google." Further into the prompts, you can make the tracker play a sound, "without the owner of the tracker knowing," Google says. If you bring the tracker to the back of your phone (presumably within NFC range), some trackers may provide their serial number and information about their owner, "like the last four digits of their phone number." Google indicates it will also link to information about how to physically disable a tracker. Finally, Google is offering a manual scan feature, if you're suspicious that your Android phone isn't catching a tracker or want to see what's nearby. The alerts are rolling out through a Google Play services update to devices on Android 6.0 and above over the coming weeks. Google is working to finish the joint tracking specification "by the end of this year."

The company added: "At this time, we've made the decision to hold the rollout of the Find My Device network until Apple has implemented protections for iOS."

LinkedIn appears to be developing a new AI tool that can help ease the effectively robotic task of looking for and applying to jobs. From a report: According to a new leak, the Microsoft-owned company seems to have a new "LinkedIn Coach" assistant in testing that could support you through the application processes, teach you new skills, and help you network on your LinkedIn network. The news comes from app researcher Nima Owji, who uncovers features from various developers that haven't been deployed yet. In an email, LinkedIn spokesperson Amanda Purvis tells The Verge the company is "always exploring" new ways to improve user experience on the platform. Purvis adds that the company "will have more to share soon."

OpenSignal blog: While eSIM adoption in the mobile market has been arriving for some time, Apple's move to make eSIM the only option for iPhone 14 range in the U.S. is propelling the worldwide shift towards eSIM technology. Opensignal's latest analysis reveals a significant surge in the proportion of users switching their operator among those who use an eSIM across seven examined markets -- Brazil, Indonesia, Singapore, South Korea, Taiwan, the U.K. and the U.S.

The switch from physical to embedded SIM cards threatens to alter how consumers switch operators and encourages operators to adopt new tactics to retain and acquire users, for example operators can offer network trials from within an app that provisions an eSIM immediately. eSIM also means the risks to operators of dual SIM devices that have long been common in many international markets are arriving in operator-controlled markets too, such as the U.S. and South Korea. Even on smartphones sold by operators, eSIM support is usually present in addition to a physical SIM, making them dual-SIM devices.

Google added eSIM-support to the Pixel range in 2017, Samsung added eSIM support to 2019's Galaxy S20 flagship. While Apple first added eSIM to their phones in 2018 with the iPhone Xs, it switched to selling exclusively eSIM models in the U.S. with the iPhone 14 range in late 2022. South Korea is also a special case -- eSIM support for domestic customers only began in mid-2022, before this point it was only available to international travelers. Notably, Samsung responded by introducing eSIM to a selection of its flagship devices in the home market, which had not been previously available there.

A team of Korean scientists claims to have created a room-temperature superconductor that also works at standard, ambient pressure. The work, however, is yet to be peer-reviewed. You can read their paper on Arxiv. Its abstract: For the first time in the world, we succeeded in synthesizing the room-temperature superconductor working at ambient pressure with a modified lead-apatite (LK-99) structure. The superconductivity of LK-99 is proved with the Critical temperature (TC), Zero-resistivity, Critical current (IC), Critical magnetic field (HC), and the Meissner effect. The superconductivity of LK-99 originates from minute structural distortion by a slight volume shrinkage (0.48 %), not by external factors such as temperature and pressure. The shrinkage is caused by Cu2+ substitution of Pb2+(2) ions in the insulating network of Pb(2)-phosphate and it generates the stress. It concurrently transfers to Pb(1) of the cylindrical column resulting in distortion of the cylindrical column interface, which creates superconducting quantum wells (SQWs) in the interface. The heat capacity results indicated that the new model is suitable for explaining the superconductivity of LK-99. The unique structure of LK-99 that allows the minute distorted structure to be maintained in the interfaces is the most important factor that LK-99 maintains and exhibits superconductivity at room temperatures and ambient pressure.

The Council of the EU has adopted new rules intended to make it much easier for EV owners to travel across Europe, while simultaneously helping to reduce the output of harmful greenhouse gases. From a report: The new regulation is set to benefit owners of electric cars and vans in three ways: It reduces range anxiety by expanding the EV charging infrastructure along Europe's main highways, it makes payments "at the pump" easier without requiring an app or subscription, and ensures pricing and availability is clearly communicated to avoid surprises. From 2025 onward, the new regulation requires fast charging stations offering at least 150kW of power to be installed every 60km (37mi) along the EU's Trans-European Transport Network, or (TEN-T) system of highways, the bloc's main transport corridor. The fast charging network along European highways is already pretty robust, I discovered on a recent 3,000km (2,000 mile) roadtrip with a VW ID Buzz. This new law could all but eliminate range anxiety for those sticking to TEN-T roads.

Google's newest proposed web standard is... DRM? Over the weekend the Internet got wind of this proposal for a "Web Environment Integrity API. " From a report: The explainer is authored by four Googlers, including at least one person on Chrome's "Privacy Sandbox" team, which is responding to the death of tracking cookies by building a user-tracking ad platform right into the browser. The intro to the Web Integrity API starts out: "Users often depend on websites trusting the client environment they run in. This trust may assume that the client environment is honest about certain aspects of itself, keeps user data and intellectual property secure, and is transparent about whether or not a human is using it."

The goal of the project is to learn more about the person on the other side of the web browser, ensuring they aren't a robot and that the browser hasn't been modified or tampered with in any unapproved ways. The intro says this data would be useful to advertisers to better count ad impressions, stop social network bots, enforce intellectual property rights, stop cheating in web games, and help financial transactions be more secure. Perhaps the most telling line of the explainer is that it "takes inspiration from existing native attestation signals such as [Apple's] App Attest and the [Android] Play Integrity API." Play Integrity (formerly called "SafetyNet") is an Android API that lets apps find out if your device has been rooted.

Root access allows you full control over the device that you purchased, and a lot of app developers don't like that. So if you root an Android phone and get flagged by the Android Integrity API, several types of apps will just refuse to run. You'll generally be locked out of banking apps, Google Wallet, online games, Snapchat, and some media apps like Netflix. [...] Google wants the same thing for the web. Google's plan is that, during a webpage transaction, the web server could require you to pass an "environment attestation" test before you get any data. At this point your browser would contact a "third-party" attestation server, and you would need to pass some kind of test. If you passed, you would get a signed "IntegrityToken" that verifies your environment is unmodified and points to the content you wanted unlocked. You bring this back to the web server, and if the server trusts the attestation company, you get the content unlocked and finally get a response with the data you wanted.

Forbes' senior writer on cybersecurity writes on the "warrantless monitoring of citizens en masse" in the United States.

Here's how county police armed with a "powerful new AI tool" identified the suspicious driving pattern of a grey Chevy owned by David Zayas: Searching through a database of 1.6 billion license plate records collected over the last two years from locations across New York State, the AI determined that Zayas' car was on a journey typical of a drug trafficker. According to a Department of Justice prosecutor filing, it made nine trips from Massachusetts to different parts of New York between October 2020 and August 2021 following routes known to be used by narcotics pushers and for conspicuously short stays. So on March 10 last year, Westchester PD pulled him over and searched his car, finding 112 grams of crack cocaine, a semiautomatic pistol and $34,000 in cash inside, according to court documents. A year later, Zayas pleaded guilty to a drug trafficking charge.

The previously unreported case is a window into the evolution of AI-powered policing, and a harbinger of the constitutional issues that will inevitably accompany it... Westchester PD's license plate surveillance system was built by Rekor, a $125 million market cap AI company trading on the NASDAQ. Local reporting and public government data reviewed by Forbes show Rekor has sold its ALPR tech to at least 23 police departments and local governments across America, from Lauderhill, Florida to San Diego, California. That's not including more than 40 police departments across New York state who can avail themselves of Westchester County PD's system, which runs out of its Real-Time Crime Center... It also runs the Rekor Public Safety Network, an opt-in project that has been aggregating vehicle location data from customers for the last three years, since it launched with information from 30 states that, at the time, were reading 150 million plates per month. That kind of centralized database with cross-state data sharing, has troubled civil rights activists, especially in light of recent revelations that Sacramento County Sheriff's Office was sharing license plate reader data with states that have banned abortion...

The ALPR market is growing thanks to a glut of Rekor rivals, including Flock, Motorola, Genetec, Jenoptik and many others who have contracts across federal and state governments. They're each trying to grab a slice of a market estimated to be worth at least $2.5 billion... In pursuit of that elusive profit, the market is looking beyond law enforcement to retail and fast food. Corporate giants have toyed with the idea of tying license plates to customer identities. McDonalds and White Castle have already begun using ALPR to tailor drive-through experiences, detecting returning customers and using past orders to guide them through the ordering process or offer individualized promotion offers. The latter restaurant chain uses Rekor tech to do that via a partnership with Mastercard.
A senior staff attorney at the ACLU tells Forbes that "The scale of this kind of surveillance is just incredibly massive."

Thanks to long-time Slashdot reader Geek_Cop for sharing the article.

Cerebras Systems and G42 have introduced the Condor Galaxy project, a network of nine interconnected supercomputers designed for AI model training with a combined performance of 36 FP16 ExaFLOPs. The first supercomputer, CG-1, located in California, offers 4 ExaFLOPs of FP16 performance and 54 million cores, focusing on Large Language Models and Generative AI without the need for complex distributed programming languages. AnandTech reports: CG-2 and CG-3 will be located in the U.S. and will follow in 2024. The remaining systems will be located across the globe and the total cost of the project will be over $900 million. The CG-1 supercomputer, situated in Santa Clara, California, combines 64 Cerebras CS-2 systems into a single user-friendly AI supercomputer, capable of providing 4 ExaFLOPs of dense, systolic FP16 compute for AI training. Based around Cerebras's 2.6 trillion transistor second-generation wafer scale engine processors, the machine is designed specifically for Large Language Models and Generative AI. It supports up to 600 billion parameter models, with configurations that can be expanded to support up to 100 trillion parameter models. Its 54 million AI-optimized compute cores and massivefabric network bandwidth of 388 Tb/s allow for nearly linear performance scaling from 1 to 64 CS-2 systems, according to Cerebras. The CG-1 supercomputer also offers inherent support for long sequence length training (up to 50,000 tokens) and does not require any complex distributed programming languages, which is common in case of GPU clusters.

This supercomputer is provided as a cloud service by Cerebras and G42 and since it is located in the U.S., Cerebras and G42 assert that it will not be used by hostile states. CG-1 is the first of three 4 FP16 ExaFLOP AI supercomputers (CG-1, CG-2, and CG-3) created by Cerebras and G42 in collaboration and located in the U.S. Once connected, these three AI supercomputers will form a 12 FP16 ExaFLOP, 162 million core distributed AI supercomputer, though it remains to be seen how efficient this network will be. In 2024, G42 and Cerebras plan to launch six additional Condor Galaxy supercomputers across the world, which will increase the total compute power to 36 FP16 ExaFLOPs delivered by 576 CS-2 systems. The Condor Galaxy project aims to democratize AI by offering sophisticated AI compute technology in the cloud. "Delivering 4 exaFLOPs of AI compute at FP16, CG-1 dramatically reduces AI training timelines while eliminating the pain of distributed compute," said Andrew Feldman, CEO of Cerebras Systems. "Many cloud companies have announced massive GPU clusters that cost billions of dollars to build, but that are extremely difficult to use. Distributing a single model over thousands of tiny GPUs takes months of time from dozens of people with rare expertise. CG-1 eliminates this challenge. Setting up a generative AI model takes minutes, not months and can be done by a single person. CG-1 is the first of three 4 ExaFLOP AI supercomputers to be deployed across the U.S. Over the next year, together with G42, we plan to expand this deployment and stand up a staggering 36 exaFLOPs of efficient, purpose-built AI compute."

An anonymous reader quotes a report from Ars Technica: AT&T's legacy telephone network may have nearly 200,000 miles of lead-covered cables, according to an estimate by AT&T submitted in a court filing. "Based on its records, AT&T estimates that lead-clad cables represent less than 10 percent of its copper footprint of roughly two million sheath miles of cable, the overwhelming majority of which remains in active service," AT&T wrote in a court filing yesterday in US District Court for the Eastern District of California. "More than two thirds of its lead-clad cabling is either buried or in conduit, followed by aerial cable, and with a very small portion running underwater. There are varying costs of installation, maintenance, and removal by cable type (aerial, buried, buried in conduit, underwater)."

Reacting to the court filing, financial analyst firm Raymond James & Associates wrote in a research note, "AT&T is telling us that the total exposure is 200,000 route miles or less." With about two-thirds of the lead cables either buried or installed inside conduit, "We believe the implication for AT&T's data is that the route miles that should be addressed most immediately is about 3.3 percent (or less)," the analyst firm wrote. AT&T's new court filing came in a case filed against AT&T subsidiary Pacific Bell by the California Sportfishing Protection Alliance (CSPA) in January 2021. The sportfishing group sued AT&T over cables that are allegedly "damaged and discharging lead into Lake Tahoe."

The two underwater cables run along the bottom of the western side of Lake Tahoe for a total of eight miles. AT&T "contends that it stopped using the Cables in or around the 1980s or earlier, that the Easements therefore have terminated, and that Defendant no longer owns the Cables," according to a November 2021 settlement. AT&T agreed in that settlement to remove the cables but now says it is at an "impasse" with the CSPA regarding removal. "In this matter, AT&T has always maintained that its lead-clad telecommunications cables pose no danger to those who work and play in the waters of Lake Tahoe, but in 2021, AT&T agreed to remove them simply to avoid the expense of litigation," an AT&T lawyer at the firm Paul Hastings wrote yesterday in a letter to the plaintiff that was attached to the court filing. [...]

AT&T's stance that it won't remove the Lake Tahoe cables any time soon is apparently a surprise to the plaintiff. The CSPA said in a court filing last week that in a Zoom meeting on July 10, "AT&T confirmed that it is prepared to commence the removal process on September 6, 2023, as long as the new permit request that AT&T submitted to State Parks in May is approved by State Park." AT&T's filing said the company never "confirmed" that it is prepared to start the cable removal process on September 6. The CSPA argues that the lead-covered cables "have leached, are leaching, and will continue to leach lead into the waters of Lake Tahoe, and that such leaching may present an imminent and substantial endangerment to human health or the environment." Last week, the Wall Street Journal published an investigative report that found evidence of more than 2,000 lead-covered telephone cables installed across the U.S. Teleco stock prices plummeted as a result, since the remediation could cost the telecom industry $60 billion.

While members of Congress are putting pressure on telecom companies to act, AT&T does appear to be taking new actions as a result of the investigation. "AT&T is working with union partners to add a voluntary testing program for any employee who works with or has worked with lead-clad cables," which "expands on AT&T's previous practice of providing blood-lead testing for technicians involved in lead-clad cable removal," the company said in its letter to the plaintiff yesterday. AT&T said it is also conducting new testing and site visits at certain locations.

AT&T's stock slid to a 30-year low following the news.

The U.S. Federal Reserve has launched a long-awaited service which will aim to modernize the country's payment system by eventually allowing everyday Americans to send and receive funds in seconds, 24 hours a day, seven days a week, the central bank announced on Thursday. From a report: The "FedNow" service, which has been in the works since 2019, will seek to eliminate the several-day lag it commonly takes cash transfers to settle, bringing the U.S. in line with countries including the United Kingdom, India, Brazil, as well as the European Union, where similar services have existed for years. FedNow is launching with 41 banks and 15 service providers certified to use the service, including community banks and large lenders like JPMorgan Chase, Bank of New York Mellon, and US Bancorp, but the Fed plans to onboard more banks and credit unions this year.

The Fed said on Thursday in a statement that 35 banks and credit unions were currently utilizing the service, as well as the Treasury Department's Bureau of Fiscal Service. The service will compete with private sector real-time payments systems, including The Clearing House's RTP network, and was initially opposed by big banks who said it was redundant. But many have since agreed to participate on the basis FedNow will allow them to expand the services they can offer clients. "For us, FedNow really is a wonderful way of expanding reach," said Anu Somani, head of global payables and embedded payments at U.S. Bank. Unlike peer-to-peer payments services like Venmo or PayPal, which act as intermediaries between banks, payments made via FedNow will settle directly in central bank accounts.

An anonymous reader quotes a report from The Verge: Tesla says it has started production of its Dojo supercomputer to train its fleet of autonomous vehicles. In its second quarter earnings report for 2023, the company outlined "four main technology pillars" needed to "solve vehicle autonomy at scale: extremely large real-world dataset, neural net training, vehicle hardware and vehicle software." "We are developing each of these pillars in-house," the company said in its report. "This month, we are taking a step towards faster and cheaper neural net training with the start of production of our Dojo training computer."

The automaker already has a large Nvidia GPU-based supercomputer that is one of the most powerful in the world, but the new Dojo custom-built computer is using chips designed by Tesla. In 2019, Tesla CEO Elon Musk gave this "super powerful training computer" a name: Dojo. Previously, Musk has claimed that Dojo will be capable of an exaflop, or 1 quintillion (1018) floating-point operations per second. That is an incredible amount of power. "To match what a one exaFLOP computer system can do in just one second, you'd have to perform one calculation every second for 31,688,765,000 years," Network World wrote.

Today, Nissan announced it's adopting Tesla's North American Charging Standard (NACS) in its electric vehicles, following in the footsteps of Ford, GM, Rivian, Mercedes-Benz, Volvo, and Polestar. Ars Technica reports: "Adopting the NACS standard underlines Nissan's commitment to making electric mobility even more accessible as we follow our Ambition 2030 long-term vision of greater electrification," said Jeremie Papin, chairperson of Nissan Americas. "We are happy to provide access to thousands more fast chargers for Nissan EV drivers, adding confidence and convenience when planning long-distance journeys."

This is actually Nissan's second time changing its DC fast-charging plugs. An early pioneer of EVs with the first- and then second-generation Leaf, it chose the CHAdeMO standard for those models, which is popular in Japan but never really caught on elsewhere. But when Nissan built the Ariya crossover as its third-generation EV, it dropped CHAdeMO for CCS, which appeared like it was going to win the charging standard war by dint of having every OEM onboard other than Tesla. CCS may have had the power of numbers in terms of OEMs, but EVs from all those makes are still heavily outnumbered on the road by the sheer mass of Models 3 and Y, and it's hard to argue with the superiority of Tesla's Supercharger network, either in terms of reliability or number of deployed chargers.

Microsoft is expanding its suite of free security tools for customers, the software company said on Wednesday, following criticism that it was charging clients to protect themselves against Microsoft's mistakes. From a report: The move follows a high-level hack that allowed allegedly Chinese spies to steal emails from senior U.S. officials - and complaints from security specialists and lawmakers against paying for tools In a blog post published on Wednesday, Microsoft said the advanced features in Microsoft's auditing suite - which it calls Microsoft Purview - would be available to all customers "over the coming months." Although not enough to prevent hacks on their own, digital auditing tools are critical for helping organizations figure out whether intruders are in their network, how they got in and how to get them out.

The US Securities and Exchange Commission (SEC) has expressed concern about generative AI's impact on financial markets. From a report: In a speech given to the National Press Club on Monday, SEC Chair Gary Gensler said recent advances in generative AI increase the possibility of institutions relying on the same subset of information to make decisions. Gensler said the large demand for data and computing power could mean only a few tech platforms may dominate the field, narrowing the field of AI models companies can use.

[...] He said: "AI may heighten financial fragility as it could promote herding with individual actors making similar decisions because they are getting the same signal from a base model or data aggregator," Gensler said. He added that the rise of generative AI and other deep-learning models "could exacerbate the inherent network interconnectedness of the global financial system."

An anonymous reader quotes a report from Fortune: It's not a misprint. Telecom Italia SpA, Italy's beleaguered former telephone monopoly, once pitched a plan to buy Apple. About 25 years ago a group of executives from the carrier flew to California to meet Apple co-founder Steve Jobs, with an audacious plan to buy the tech company at a time it was struggling to make headway against rivals like International Business Machines Corp. Telecom Italia, on the other hand, was flying high, ranking as the world's sixth-largest telephone company by sales. Worth about $100 billion, it had minimal debt, held stakes in dozens of tech groups around the world and employed more that 120,000 people.

Although Apple's rise back from the ashes is well documented, the fate of its would-be buyer is less well known outside Italy. Today, the carrier is burdened by more than 30 billion euros in gross debt, it controls just one company outside its domestic market -- Brazil's No. 3 phone operator -- and it employs only a third as many people as it did when its executives made their pitch to Jobs. Most tellingly, Telecom Italia now finds itself in the position of needing to sell off its landline network just to get its debt pile under control. The sale would be a transformational deal and, if successful, the first such divestiture for a European carrier.

In a small twist of fate, the likely buyer is a US company, though it's not a tech giant like Apple but private equity powerhouse KKR & Co. With progress being made toward a disposal of the network, Telecom Italia's one truly valuable asset, now seems as good a time as any to ask, what happened to this once-promising company? [...] Regardless of the outcome of the network battle, the carrier won't look the same after the dust has settled. "Telecom Italia's future will now be mostly linked to its capacity of being more agile and luring new customers with more profitable services," said Laura Rovizzi, chief executive at Rome-based strategy and regulation consultant Open Gate Italia. And the carrier's service unit, basically all that would remain of Telecom Italia after a network selloff, would itself probably need to weigh a transformational deal with a tech company to guarantee its competitive footprint, she added. With so many uncertainties ahead, there's probably only one safe bet for Telecom Italia. The carrier won't be trying to buy Apple again.

An anonymous reader quotes a report from Ars Technica: JumpCloud, a cloud-based IT management service that lists Cars.com, GoFundMe, and Foursquare among its 5,000 paying customers, experienced a security breach carried out by hackers working for a nation-state, the company said last week. The attack began on June 22 as a spear-phishing campaign, the company revealed last Wednesday. As part of that incident, JumpCloud said, the "sophisticated nation-state sponsored threat actor" gained access to an unspecified part of the JumpCloud internal network. Although investigators at the time found no evidence any customers were affected, the company said it rotated account credentials, rebuilt its systems, and took other defensive measures.

On July 5, investigators discovered the breach involved "unusual activity in the commands framework for a small set of customers." In response, the company's security team performed a forced-rotation of all admin API keys and notified affected customers. As investigators continued their analysis, they found that the breach also involved a "data injection into the commands framework," which the disclosure described as the "attack vector." The disclosure didn't explain the connection between the data injection and the access gained by the spear-phishing attack on June 22. Ars asked JumpCloud PR for details, and employees responded by sending the same disclosure post that omits such details. Investigators also found that the attack was extremely targeted and limited to specific customers, which the company didn't name.

JumpCloud says on its website that it has a global user base of more than 200,000 organizations, with more than 5,000 paying customers. They include Cars.com, GoFundMe, Grab, ClassPass, Uplight, Beyond Finance, and Foursquare. JumpCloud has raised over $400 million from investors, including Sapphire Ventures, General Atlantic, Sands Capital, Atlassian, and CrowdStrike. The company has also published a list of IP addresses, domain names, and cryptographic hashes used by the attacker that other organizations can use to indicate if they were targeted by the same attackers. JumpCloud has yet to name the country of origin or other details about the threat group responsible.

SiliconANGLE reports that Red Hat's decision to limit access to RHEL sources "has sparked outrage in some circles," but observers contacted by the publication "were mostly sympathetic" to Red Hat's position: Most acknowledged that the company's explanation that it couldn't keep funding the development of software that competitors then gave away for free was reasonable. But not Bill Ottman, founder and chief executive officer of Minds Inc., a social network built on open-source code." They are completely embarrassing themselves by betraying the community and their own model," he said. "Their best bet is to immediately reverse course and apologize."

Others were more inclined to agree with Josh Amishav, founder and CEO of data breach monitoring firm Breachsense. "If we want commercial entities to support our underlying operating system, they need to find ways to be profitable," he said. "If you disagree with Red Hat's policy change, then there are plenty of excellent Linux alternatives to choose from."

Some saw the move as a consequence of pressure inside IBM to justify the $34 billion it paid to buy Red Hat nearly five years ago. "Red Hat has to change to protect its business," said Joe Brockmeier, head of community at open-source developer Percona LLC and a former Red Hat employee. "They seem to have tried to find the least harmful way to do that. It's a necessary decision, although one that could have been communicated a little better." Brockmeier agreed with Red Hat's argument that it can't continue to fund innovations and give them away for free. "Copying a company's product isn't what open source is about," he said. "The code is what allows every company and individual to run, study, modify and distribute work based on a project. The members of the community can do those things; what they are finding harder to do is to 'clone' RHEL."

Not everyone buys the argument that IBM needed to wring more revenue out of its subsidiary. "Considering IBM's gross profit for [fiscal 2022] was $32.863 billion, this certainly wasn't a make-or-break decision for IBM's profitability," said Kadan Stadelmann, chief technology officer at Komodo, developer of a cryptocurrency and blockchain platform. And there's some risk to Red Hat in closing down source code access. "By totally removing free and open-source software, Red Hat may not necessarily increase revenues that much while alienating its large community of open-source developers," Stadelmann said.

There's evidence that's already happening, at least for now. Red Hat's action has both energized and elevated the profiles of some open-source alternatives.