Full repairs to three submarine internet cables damaged in the Red Sea in February are being held up by disputes over who controls access to infrastructure in Yemeni waters. From a report: The Yemeni government has granted permits for the repair of two out of three cables, but refused the third because of a dispute with one of the cable's consortium members. Repairs to the Seacom and EIG cables have been approved, but the consortium that runs AAE-1, which includes telecommunications company TeleYemen, was not granted a permit by Yemen's internationally recognized government, according to documents seen by Bloomberg.

Three out of more than a dozen cables that run through the Red Sea, a critical route for connecting Europe's internet infrastructure to Asia's, were knocked offline by the Houthi-sunk Rubymar vessel in late February. Although the telecommunications data that passes along the damaged cables was re-routed, the incident highlighted the vulnerability of critical subsea infrastructure and the challenges of making repairs in a conflict zone. The dispute over the third cable derives from the split political control of TeleYemen, the country's sole telecommunications provider, a reflection of the country's broader geopolitical divisions.

"With all the improvements in car safety over the decades, the recent addition of a plethora of high tech sensors and warnings comes with increased costs," writes longtime Slashdot reader smooth wombat. "And not just to have to have them on your car. Any time you get into an accident, even a minor one, it will most likely require a detailed examination of any sensors which may have been affected and their subsequent realignment, replacement, and calibration." CNN reports: Some vehicles require "dynamic calibration," which means, once the sensors and cameras are back in place, a driver needs to take the vehicle out on real roads for testing. With proper equipment attached the car can, essentially, recalibrate itself as it watches lane lines and other markers. It requires the car to be driven for a set distance at a certain speed but weather and traffic can create problems. "If you're in Chicago or L.A., good luck getting to that speed," said [Hami Ebrahimi, chief commercial officer at Caliber] "or if you're in Seattle or Chicago or New York, with snow, good luck picking up all the road markings."

More commonly, vehicles need "static calibration," which can be done using machinery inside a closed workshop with a flat, level floor. Special targets are set up around the vehicle at set distances according to instructions from the vehicle manufacturer. "The car [views] those targets at those specific distances to recalibrate the world into the car's computer," Ebrahimi said. These kinds of repairs also demand buildings with open space that meet requirements including specific colors and lighting. And it requires special training for employees to perform these sorts of recalibrations, he said

"The change that we've seen in the last five years is greater than we've seen, probably, in the last five decades," said Todd Dillender, chief operating officer of Caliber Collision, one of the biggest auto body repair companies in the United States with more than 1,700 locations across 41 states. [...] With a rapidly changing industry, qualified auto body repair technicians are in short supply, just as they are in the engine repair business. That's also led to upward pressure on pay in the industry as technicians have to be highly qualified and educated, Dillender said. That's good for people who work in the industry, of course, but tougher for those who pay, and for the insurance companies who, in turn, pay for the repairs. A new study from consumer automotive group AAA says the cost to fix sensors and cameras in new vehicles "now accounts for more than a third of the post-crash repair costs," reports CNN. However, "no one, including AAA, recommends not getting these features because of repair costs," since many of them can cut crash rates in half and improve a car's overall safety.

"They're not going to prevent everything," said Greg Brannon, director of automotive engineering at AAA. "And when you are in a crash, there are additional costs so it's sort of the old 'there's no free ride' when it comes to these things."

Wayve, a UK-based AI firm focused on developing self-driving car technology, has secured a record $1.05 billion in funding, with Microsoft and Nvidia participating in the round led by SoftBank. According to the BBC, this investment is the largest for an AI company in Europe. The BBC reports: Wayve says the funding will allow it to help build the autonomous cars of the future. [...] Wayve is developing technology intended to power future self-driving vehicles by using what it calls "embodied AI." Unlike AI models carrying out cognitive or generative tasks such as answering questions or creating pictures, this new technology interacts with and learns from real-world surroundings and environments. "[The investment] sends a crucial signal to the market of the strength of the UK's AI ecosystem, and we look forward to watching more AI companies here thrive and scale," said Wayve head Alex Kendall.

An anonymous reader quotes a report from Ars Technica: In a major shake-up of its chip roadmap, Apple has announced a new M4 processor for today's iPad Pro refresh, barely six months after releasing the first MacBook Pros with the M3 and not even two months after updating the MacBook Air with the M3. Apple says the M4 includes "up to" four high-performance CPU cores, six high-efficiency cores, and a 10-core GPU. Apple's high-level performance estimates say that the M4 has 50 percent faster CPU performance and four times as much graphics performance. Like the GPU in the M3, the M4 also supports hardware-accelerated ray-tracing to enable more advanced lighting effects in games and other apps. Due partly to its "second-generation" 3 nm manufacturing process, Apple says the M4 can match the performance of the M2 while using just half the power.

As with so much else in the tech industry right now, the M4 also has an AI focus; Apple says it's beefing up the 16-core Neural Engine (Apple's equivalent of the Neural Processing Unit that companies like Qualcomm, Intel, AMD, and Microsoft have been pushing lately). Apple says the M4 runs up to 38 trillion operations per second (TOPS), considerably ahead of Intel's Meteor Lake platform, though a bit short of the 45 TOPS that Qualcomm is promising with the Snapdragon X Elite and Plus series. The M3's Neural Engine is only capable of 18 TOPS, so that's a major step up for Apple's hardware. Apple's chips since 2017 have included some version of the Neural Engine, though to date, those have mostly been used to enhance and categorize photos, perform optical character recognition, enable offline dictation, and do other oddities. But it may be that Apple needs something faster for the kinds of on-device large language model-backed generative AI that it's expected to introduce in iOS and iPadOS 18 at WWDC next month. A separate report from the Wall Street Journal says Apple is developing a custom chip to run AI software in datacenters. "Apple's server chip will likely be focused on running AI models, also known as inference, rather than in training AI models, where Nvidia is dominant," reports Reuters.

Further reading: Apple Quietly Kills the Old-school iPad and Its Headphone Jack

An anonymous reader shares a report: The Federal Aviation Administration is investigating whether Boeing failed to complete required inspections on 787 Dreamliner planes and whether Boeing employees falsified aircraft records, the agency said this week. The investigation was launched after an employee reported the problem to Boeing management, and Boeing informed the FAA. "The FAA has opened an investigation into Boeing after the company voluntarily informed us in April that it may not have completed required inspections to confirm adequate bonding and grounding where the wings join the fuselage on certain 787 Dreamliner airplanes," the FAA said in a statement provided to Ars today. The FAA said it "is investigating whether Boeing completed the inspections and whether company employees may have falsified aircraft records. At the same time, Boeing is reinspecting all 787 airplanes still within the production system and must also create a plan to address the in-service fleet." The agency added that it "will take any necessary action -- as always -- to ensure the safety of the flying public."

Boeing VP Scott Stocker, who leads the 787 Dreamliner program, described "misconduct" in an April 29 email to employees in South Carolina. Boeing provided a copy of the email to Ars. "After receiving the report, we quickly reviewed the matter and learned that several people had been violating Company policies by not performing a required test, but recording the work as having been completed," Stocker wrote. "As you all know, we have zero tolerance for not following processes designed to ensure quality and safety. We promptly informed our regulator about what we learned and are taking swift and serious corrective action with multiple teammates."

The Register provides a retrospective look at how Microsoft "absorbed the handset division of Nokia" ten years ago, only to kill the unit two years later and write it off as a tax loss. What went wrong? "It was a fatal combination of bad management, a market evolving in ways hidebound people didn't predict, and some really (with a few superb exceptions) terrible products," reports The Register. From the report: Like Nokia, Windows Mobile's popularity peaked in 2007, then started to drop away. The iPhone was the tech item of choice for fashionistas, Blackberry was seen as essential for serious business, and Android -- with Google as its new owner -- was gaining traction. Microsoft by that time had a new CEO in Steve Ballmer, who completely and famously failed to see the shifting sands in the mobile market. He dismissed the iPhone as a threat to what he thought was Windows Mobile's unassailable market position, and was roundly mocked for it. So the scene was set for a mobile standards war, and Steve Ballmer staked his professional pride on winning it. Microsoft recruited Nokia to help out. [...]

Under [Executive VP of Microsoft Stephen Elop's] leadership, a closer working relationship with Microsoft was a given -- but in 2013 Redmond announced it was going the whole hog and buying Nokia's handset business outright for $7.2 billion. The deal was done in April 2014, a decade ago from today. Microsoft also got a ten-year license on Nokia's patents and the option to renew in perpetuity. It also got Elop back, as executive vice president of the Microsoft Devices Group. That meant stepping down as CEO of Nokia, for which he trousered an 18.8 million bonus package -- a payoff the Finnish prime minister at the time called "outrageous." Nokia retained its networking business in Finland. It purchased Siemens' half of the Nokia Siemens Networks joint venture and renamed in Nokia Networks. The Nokia board rolled the dice again on hiring another non-Suomi manager, Rajeev Suri, and this time hit a double D20 in D&D terms.

When Ballmer stepped down from the helm at Microsoft in 2014 -- shortly before the Nokia deal completion -- he left a hot mess to deal with. His plan had been to develop the mobile operating system in conjunction with Windows 10, and Windows Mobile 10 was supposed to be a part of a unified code environment. While Windows 10 on the desktop wasn't a bad operating system, Windows Mobile 10 really was. The promised synergy just didn't happen -- it was power-hungry, clunky, and about as popular as a rattlesnake in a pinata. It was this mess that Satya Nadella faced when he took over the reins. Nadella was never very keen on the phone platform and spent more time in press conferences talking about cricket or the cloud than Microsoft's mobile ambitions. It was clear to all that this really wasn't working. Elop was laid off by Redmond a year later.

It was clear that Windows Mobile wasn't going to work. Android and iOS were drinking Microsoft's milkshake, and Redmond realized the game was up. Microsoft started shedding mobile jobs -- both in Finland and Redmond. While mobile was still publicly touted as the way forward for Microsoft with Ballmer gone, the impetus wasn't there and support for the mobile OS shriveled. In 2015 Microsoft declared it was writing off $7.6 billion on the Phone Hardware division as "goodwill and asset impairment charges" -- $400 million more than it had originally paid for the Finnish firm. Nokia bought European networking giant Alcatel-Lucent in a $16.7 billion deal in 2015. Around the same time, Suri announced a move into tablets, since it had a non-compete agreement with Microsoft on mobiles. Meanwhile a bunch of former Nokia execs who'd fled Elop and Microsoft had started a mobile biz of their own: HMD. It was Finnish, but outsourced production to Foxconn in China, and was planning to make cheapish Android devices. In 2016 Microsoft sold its mobile hardware arm to HMD for an undisclosed -- but probably not large -- sum. Nadella clearly wanted out of the whole business and the Finnish startup concentrated on selling good-enough Android smartphones to Nokia's traditional cheap markets.

Swedish energy company Stockholm Exergi and Microsoft have announced a 10-year deal that will provide the tech giant with more than 3.3 million tons of carbon removal certificates through bioenergy with carbon capture and storage. While the value of the deal was not disclosed, it stands as the largest of its kind globally. Carbon Herald reports: Scheduled to commence in 2028 and span a decade, the agreement underscores a pivotal moment in combatting climate change. Anders Egelrud, CEO of Stockholm Exergi, lauded the deal as a "huge step" for the company and its BECCS project, emphasizing its profound implications for climate action. "I believe the agreement will inspire corporations with ambitious climate objectives, and we target to announce more deals with other pioneering companies over the coming months," he said. Recognizing the imperative of permanent carbon removals in limiting global warming to 1.5C or below, the deal aligns with Microsoft's ambitious goal of becoming carbon negative by 2030.

"Leveraging existing biomass power plants is a crucial first step to building worldwide carbon removal capacity," Brian Marrs, Microsoft's Senior Director of Energy & Carbon Removal, said, highlighting the importance of sustainable biomass sourcing for BECCS projects, as is the case with Stockholm Exergi. The partners will adhere to stringent quality standards, ensuring transparent reporting and adherence to sustainability criteria. The BECCS facility, once operational, will remove up to 800,000 tons of carbon dioxide (CO2) annually, contributing significantly to atmospheric carbon reduction. With environmental permits secured and construction set to commence in 2025, Stockholm Exergi plans to reach the final investment decision by the end of the year.

Jack Dorsey is no longer on the board of Bluesky, the Twitter alternative he helped start. The announcement comes shortly after Dorsey unfollowed all but three accounts on X and referred to Elon Musk's platform as "freedom technology." The Verge reports: In two posts today, Bluesky thanked Dorsey while confirming his departure and adding that it's searching for a new board member "who shares our commitment to building a social network that puts people in control of their experience." [...] Neither Bluesky nor Dorsey himself seem to have said how or why he left the board. For now, two board members remain: CEO, Jay Graeber, and Jabber / XMPP inventor Jeremie Miller. Dorsey originally backed Bluesky in 2019 as a project to develop an open-source social media standard that he wanted Twitter to move to. He later joined its board of directors when it split from Twitter in 2022.

The Rabbit R1 is one of the first standalone AI companion devices to hit the market, offering the ability to translate languages, identify objects in your environment, and order DoorDash, among other things. It's been in the news last week for its all around poor reviews that cite poor battery life, painfully slow responses, and missing features (sound familiar?). Now, it's been confirmed that the Rabbit R1 is powered by an Android app that can run on existing Android phones. Android Authority reports: What ended up souring a lot of people's opinions on the product was the revelation -- in an Android Authority original report -- that the R1 is basically an Android app in a box. Many consumers who believed that the product would be better suited as a mobile app felt validated after our report, but there was one stickler in it that we needed to address: how we got the R1 launcher up and running on an Android phone. See, in our preliminary report, we mentioned that the Rabbit R1's launcher app is intended to be preinstalled in the firmware and be granted several privileged, system-level permissions. While that statement is still true, we should've clarified that the R1 launcher doesn't actually need those permissions. In fact, none of the system-level permissions that the R1 launcher requests are at all necessary for the app to perform its core functionality.

To prove this, we got the Rabbit R1 launcher up and running again on a stock, unrooted Android device (a Xiaomi 13T Pro), thanks to help from a team of reverse engineers including ChromMob, EmilyLShepherd, marceld505, thel3l, and uwukko. We were able to go through the entire setup process as if our device was an actual Rabbit R1. Afterwards, we were able to talk to ChatGPT, use the Vision function to identify objects, play music from Spotify, and even record voice notes. As demonstrated in our hands-on video at the top of this article, all of the existing core functionality that the Rabbit R1 offers would work as an Android or even iOS app. The only functions that wouldn't work are unrelated to the product's core functionality and are things your phone can already do, such as powering off or rebooting the device, toggling Bluetooth, connecting to a cellular or Wi-Fi network, or setting a screen lock.

During our research, Android Authority was also able to obtain a copy of the Rabbit R1's firmware. Our analysis reveals that Rabbit did not make significant modifications to the BSP (Board Support Package) provided by MediaTek. The R1, in fact, still ships with all the standard apps included in AOSP, as well as the many apps provided by MediaTek. This is despite the fact that none of these apps are needed nor ever shown to the user, obviously. Rabbit only made a few changes to the AOSP build that MediaTek provided them, such as adding the aforementioned R1 launcher app, adding a fork of the open-source "AnySoftKeyboard" app with a custom theme, adding an OTA updater app, and adding a custom boot animation. [...] Yes, it's true that all the R1 launcher does is act as a local client to the cloud services offered by Rabbit, which is what truly handles the core functionality. It's also true that there's nothing wrong or unusual with companies using AOSP for their own hardware. But the fact of the matter is that Rabbit does little to justify its use of custom hardware except by making the R1 have an eye-catching design.

An anonymous reader quotes a report from TechCrunch: CoreWeave, the GPU infrastructure provider that began life as a cryptocurrency mining operation, this week raised $1.1 billion in new funding from investors, including Coatue, Fidelity and Altimeter Capital. The round brings its valuation to $19 billion post-money and its total raised to $5 billion in debt and equity -- a remarkable figure for a company that's less than 10 years old. It's not just CoreWeave. Lambda Labs, which also offers an array of cloud-hosted GPU instances, in early April secured a "special purpose financing vehicle" of up to $500 million, months after closing a $320 million Series C round. The nonprofit Voltage Park, backed by crypto billionaire Jed McCaleb, last October announced that it's investing $500 million in GPU-backed data centers. And Together AI, a cloud GPU host that also conducts generative AI research, in March landed $106 million in a Salesforce-led round.

So why all the enthusiasm for -- and cash pouring into -- the alternative cloud space? The answer, as you might expect, is generative AI. As the generative AI boom times continue, so does the demand for the hardware to run and train generative AI models at scale. GPUs, architecturally, are the logical choice for training, fine-tuning and running models because they contain thousands of cores that can work in parallel to perform the linear algebra equations that make up generative models. But installing GPUs is expensive. So most devs and organizations turn to the cloud instead. Incumbents in the cloud computing space -- Amazon Web Services (AWS), Google Cloud and Microsoft Azure -- offer no shortage of GPU and specialty hardware instances optimized for generative AI workloads. But for at least some models and projects, alternative clouds can end up being cheaper -- and delivering better availability.

On CoreWeave, renting an Nvidia A100 40GB -- one popular choice for model training and inferencing -- costs $2.39 per hour, which works out to $1,200 per month. On Azure, the same GPU costs $3.40 per hour, or $2,482 per month; on Google Cloud, it's $3.67 per hour, or $2,682 per month. Given generative AI workloads are usually performed on clusters of GPUs, the cost deltas quickly grow. "Companies like CoreWeave participate in a market we call specialty 'GPU as a service' cloud providers," Sid Nag, VP of cloud services and technologies at Gartner, told TechCrunch. "Given the high demand for GPUs, they offers an alternate to the hyperscalers, where they've taken Nvidia GPUs and provided another route to market and access to those GPUs." Nag points out that even some Big Tech firms have begun to lean on alternative cloud providers as they run up against compute capacity challenges. Microsoft signed a multi-billion-dollar deal with CoreWeave last June to help provide enough power to train OpenAI's generative AI models.

"Nvidia, the furnisher of the bulk of CoreWeave's chips, sees this as a desirable trend, perhaps for leverage reasons; it's said to have given some alternative cloud providers preferential access to its GPUs," reports TechCrunch.

For the first time since it invested more than $10 billion into OpenAI in exchange for the rights to reuse the startup's AI models, Microsoft is training a new, in-house AI model large enough to compete with state-of-the-art models from Google, Anthropic and OpenAI itself. The Information: The new model, internally referred to as MAI-1, is being overseen by Mustafa Suleyman, the ex-Google AI leader who most recently served as CEO of the AI startup Inflection before Microsoft hired the majority of the startup's staff and paid $650 million for the rights to its intellectual property in March. But this is a Microsoft model, not one carried over from Inflection, although it may build on training data and other tech from the startup. It is separate from the Pi models that Inflection previously released, according to two Microsoft employees with knowledge of the effort.

MAI-1 will be far larger than any of the smaller, open source models that Microsoft has previously trained, meaning it will require more computing power and training data and will therefore be more expensive, according to the people. MAI-1 will have roughly 500 billion parameters, or settings that can be adjusted to determine what models learn during training. By comparison, OpenAI's GPT-4 has more than 1 trillion parameters, while smaller open source models released by firms like Meta Platforms and Mistral have 70 billion parameters. That means Microsoft is now pursuing a dual trajectory of sorts in AI, aiming to develop both "small language models" that are inexpensive to build into apps and that could run on mobile devices, alongside larger, state-of-the-art AI models.

Wednesday Rest of World noticed an overlooked tech story in Argentina: Olga de León looked confused as she walked out of a nightclub on the edge of Buenos Aires on a recent Tuesday afternoon. She had just had her iris scanned. "No one told me what they'll do with my eye," de León, 57, told Rest of World. "But I did this out of need." De León, who lives off the $95 pension she receives from the state, had been desperate for money. Persuaded by her nephew, she agreed to have one of her irises scanned by Worldcoin, Sam Altman's blockchain project. In exchange, she received nearly $50 worth of WLD, the company's cryptocurrency.

De León is one of about half a million Argentines who have handed their biometric data over to Worldcoin. Beaten down by the country's 288% inflation rate and growing unemployment, they have flocked to Worldcoin Orb verification hubs, eager to get the sign-up crypto bonus offered by the company. A network of intermediaries — who earn a commission from every iris scan — has lured many into signing up for the practice in Argentina, where data privacy laws remain weak. But as the popularity of Worldcoin skyrockets in the country, experts have sounded the alarm about the dangers of giving away biometric data. Two provinces are now pushing for legal investigations. "Seeing that [iris scans have] been banned in European countries, shouldn't we be trying to stop it, too?" Javier Smaldone, a software consultant and digital security expert, told Rest of World.
Last month Worldcoin's web site announced that more than 10 million people in 160 countries had created a World ID and compatible wallet (performing 75 million transactions) — and that 5,195,475 people had also verified their World ID using Worldcoin's iris-scanning Orb.

But the article notes a big drop in the number of countries even allowing Worldcoin's iris-scanning — from 25 to just eight. While in less than a year Worldcoin opened nearly 60 centers across Argentina...

An anonymous reader shared this report from Mint: Elon Musk-owned social media platform X (formerly Twitter) has launched a new Grok AI-powered feature called 'Stories', which allows users to read summaries of a trending post on the social media platform. The feature is currently only available to X Premium subscribers on the iOS and web versions, and hasn't found its way to the Android application just yet... instead of reading the whole post, they'll have Grok AI summarise it to get the gist of those big news stories. However, since Grok, like other AI chatbots on the market, is prone to hallucination (making things up), X provides a warning at the end of these stories that says: "Grok can make mistakes, verify its outputs."
"Access to xAI's chatbot Grok is meant to be a selling point to push users to buy premium subscriptions," reports TechCrunch: A snarky and "rebellious" AI, Grok's differentiator from other AI chatbots like ChatGPT is its exclusive and real-time access to X data. A post published to X on Friday by tech journalist Alex Kantrowitz lays out Elon Musk's further plan for AI-powered news on X, based on an email conversation with the X owner. Kantrowitz says that conversations on X will make up the core of Grok's summaries. Grok won't look at the article text, in other words, even if that's what people are discussing on the platform.
The article notes that some AI companies have been striking expensive licensing deals with news publishers. But in X's case, "it's able to get at the news by way of the conversation around it — and without having to partner to access the news content itself."

From the Washington Post's "Technology 202" newsletter: As tech giants move toward a world in which chatbots supplement, and perhaps supplant, search engines, the Microsoft executive assigned to make sure AI is used responsibly said the industry has to be careful not to break the business model of the wider web. Search engines citing and linking to the websites they draw from is "part of the core bargain of search," [Microsoft's chief Responsible AI officer] said in an interview Monday....

"It's really important to maintain a healthy information ecosystem and recognize it is an ecosystem. And so part of what I will continue to guide our Microsoft teams toward is making sure that we are citing back to the core webpages from which the content is sourced. Making sure that we've got that feedback loop happening. Because that is part of the core bargain of search, right? And I think it's critical to make sure that we are both providing users with new engaging ways to interact, to explore new ideas — but also making sure that we are building and supporting the great work of our creators."
Asked about lawsuits alleging copyright use without permission, they said "We believe that there are strong grounds under existing laws to train models."

But they also added those lawsuits are "asking legitimate questions" about where the boundaries are, "for which the courts will provide answers in due course."

"What if the big tech companies achieved their ultimate business goal — maximizing engagement on their platforms — in a way that has undermined our ability to function as an open society?"

That's the question being asked by Chuck Todd, chief political analyst for NBC News: What if they realized that when folks agree on a solution to a problem, they are most likely to log off a site or move on? It sure looks like the people at these major data-hoarding companies have optimized their algorithms to do just that. As a new book argues, Big Tech appears to have perfected a model that has created rhetorical paralysis. Using our own data against us to create dopamine triggers, tech platforms have created "a state of perpetual disagreement across the divide and a concurrent state of perpetual agreement within each side," authors Frank McCourt and Michael Casey write, adding: "Once this uneasy state of divisive 'equilibrium' is established, it creates profit-making opportunities for the platforms to generate revenue from advertisers who prize the sticky highly engaged audiences it generates."

In their new book, "Our Biggest Fight," McCourt (a longtime businessman and onetime owner of the Los Angeles Dodgers) and Casey are attempting a call to action akin to Thomas Paine's 18th century-era "Common Sense." The book argues that "we must act now to embed the core values of a free, democratic society in the internet of tomorrow." The authors believe many of the current ills in society can be traced to how the internet works. "Information is the lifeblood of any society, and our three-decade-old digital system for distributing it is fatally corrupt at its heart," they write. "It has failed to function as a trusted, neutral exchange of facts and ideas and has therefore catastrophically hindered our ability to gather respectfully to debate, to compromise and to hash out solutions.... Everything, ultimately, comes down to our ability to communicate openly and truthfully with one another. We have lost that ability — thanks to how the internet has evolved away from its open, decentralized ideals...."

Ultimately, what the authors are imagining is a new internet that essentially flips the user agreement 180 degrees, so that a tech company has to agree to your terms and conditions to use your data and has to seek your permission (perhaps with compensation) to access your entire social map of whom and what you engage with on the internet. Most important, under such an arrangement, these companies couldn't prevent you from using their services if you refused to let them have your data... Unlike most anti-Big Tech books, this one isn't calling for the breakup of companies like Meta, Amazon, Alphabet, Microsoft or Apple. Instead, it's calling for a new set of laws that protect data so none of those companies gets to own it, either specifically or in the aggregate...

The authors seem mindful that this Congress or a new one isn't going to act unless the public demands action. And people may not demand this change in our relationship with tech if they don't have an alternative to point to. That's why McCourt, through an organization he founded called Project Liberty, is trying to build our new internet with new protocols that make individual data management a lot easier and second nature. (If you want to understand the tech behind this new internet more, read the book!)
Wait, there's more. The article adds that the authors "envision an internet where all apps and the algorithms that power them are open source and can be audited at will. They believe that simply preventing these private companies from owning and mapping our data will deprive them of the manipulative marketing and behavioral tactics they've used to derive their own power and fortunes at the expense of democracy."

And the NBC News analyst seems to agree. "For whatever reason, despite our societal fear of government databases and government surveillance, we've basically handed our entire personas to the techies of Silicon Valley."