Modern U.S. farming is being transformed by precision agriculture, writes Paul Roberts, the founder of securepairs.org and Editor in Chief at Security Ledger.

Theres autonomous tractors and "smart spraying" systems that use AI-powered cameras to identify weeds, just for starters. "Among the critical components of precision agriculture: Internet- and GPS connected agricultural equipment, highly accurate remote sensors, 'big data' analytics and cloud computing..." As with any technological revolution, however, there are both "winners" and "losers" in the emerging age of precision agriculture... Precision agriculture, once broadly adopted, promises to further reduce the need for human labor to run farms. (Autonomous equipment means you no longer even need drivers!) However, the risks it poses go well beyond a reduction in the agricultural work force. First, as the USDA notes on its website: the scale and high capital costs of precision agriculture technology tend to favor large, corporate producers over smaller farms. Then there are the systemic risks to U.S. agriculture of an increasingly connected and consolidated agriculture sector, with a few major OEMs having the ability to remotely control and manage vital equipment on millions of U.S. farms... (Listen to my podcast interview with the hacker Sick Codes, who reverse engineered a John Deere display to run the Doom video game for insights into the company's internal struggles with cybersecurity.)

Finally, there are the reams of valuable and proprietary environmental and operational data that farmers collect, store and leverage to squeeze the maximum productivity out of their land. For centuries, such information resided in farmers' heads, or on written or (more recently) digital records that they owned and controlled exclusively, typically passing that knowledge and data down to succeeding generation of farm owners. Precision agriculture technology greatly expands the scope, and granularity, of that data. But in doing so, it also wrests it from the farmer's control and shares it with equipment manufacturers and service providers — often without the explicit understanding of the farmers themselves, and almost always without monetary compensation to the farmer for the data itself. In fact, the Federal Government is so concerned about farm data they included a section (1619) on "information gathering" into the latest farm bill.

Over time, this massive transfer of knowledge from individual farmers or collectives to multinational corporations risks beggaring farmers by robbing them of one of their most vital assets: data, and turning them into little more than passive caretakers of automated equipment managed, controlled and accountable to distant corporate masters.
Weighing in is Kevin Kenney, a vocal advocate for the "right to repair" agricultural equipment (and also an alternative fuel systems engineer at Grassroots Energy LLC). In the interview, he warns about the dangers of tying repairs to factory-installed firmware, and argues that its the long-time farmer's "trade secrets" that are really being harvested today. The ultimate beneficiary could end up being the current "cabal" of tractor manufacturers.

"While we can all agree that it's coming...the question is who will own these robots?" First, we need to acknowledge that there are existing laws on the books which for whatever reason, are not being enforced. The FTC should immediately start an investigation into John Deere and the rest of the 'Tractor Cabal' to see to what extent farmers' farm data security and privacy are being compromised. This directly affects national food security because if thousands- or tens of thousands of tractors' are hacked and disabled or their data is lost, crops left to rot in the fields would lead to bare shelves at the grocery store... I think our universities have also been delinquent in grasping and warning farmers about the data-theft being perpetrated on farmers' operations throughout the United States and other countries by makers of precision agricultural equipment.
Thanks to long-time Slashdot reader chicksdaddy for sharing the article.

A paper (PDF) from researchers at the University of Cambridge, supported by voices from numerous academic institutions including OpenAI, proposes remote kill switches and lockouts as methods to mitigate risks associated with advanced AI technologies. It also recommends tracking AI chip sales globally. The Register reports: The paper highlights numerous ways policymakers might approach AI hardware regulation. Many of the suggestions -- including those designed to improve visibility and limit the sale of AI accelerators -- are already playing out at a national level. Last year US president Joe Biden put forward an executive order aimed at identifying companies developing large dual-use AI models as well as the infrastructure vendors capable of training them. If you're not familiar, "dual-use" refers to technologies that can serve double duty in civilian and military applications. More recently, the US Commerce Department proposed regulation that would require American cloud providers to implement more stringent "know-your-customer" policies to prevent persons or countries of concern from getting around export restrictions. This kind of visibility is valuable, researchers note, as it could help to avoid another arms race, like the one triggered by the missile gap controversy, where erroneous reports led to massive build up of ballistic missiles. While valuable, they warn that executing on these reporting requirements risks invading customer privacy and even lead to sensitive data being leaked.

Meanwhile, on the trade front, the Commerce Department has continued to step up restrictions, limiting the performance of accelerators sold to China. But, as we've previously reported, while these efforts have made it harder for countries like China to get their hands on American chips, they are far from perfect. To address these limitations, the researchers have proposed implementing a global registry for AI chip sales that would track them over the course of their lifecycle, even after they've left their country of origin. Such a registry, they suggest, could incorporate a unique identifier into each chip, which could help to combat smuggling of components.

At the more extreme end of the spectrum, researchers have suggested that kill switches could be baked into the silicon to prevent their use in malicious applications. [...] The academics are clearer elsewhere in their study, proposing that processor functionality could be switched off or dialed down by regulators remotely using digital licensing: "Specialized co-processors that sit on the chip could hold a cryptographically signed digital "certificate," and updates to the use-case policy could be delivered remotely via firmware updates. The authorization for the on-chip license could be periodically renewed by the regulator, while the chip producer could administer it. An expired or illegitimate license would cause the chip to not work, or reduce its performance." In theory, this could allow watchdogs to respond faster to abuses of sensitive technologies by cutting off access to chips remotely, but the authors warn that doing so isn't without risk. The implication being, if implemented incorrectly, that such a kill switch could become a target for cybercriminals to exploit.

Another proposal would require multiple parties to sign off on potentially risky AI training tasks before they can be deployed at scale. "Nuclear weapons use similar mechanisms called permissive action links," they wrote. For nuclear weapons, these security locks are designed to prevent one person from going rogue and launching a first strike. For AI however, the idea is that if an individual or company wanted to train a model over a certain threshold in the cloud, they'd first need to get authorization to do so. Though a potent tool, the researchers observe that this could backfire by preventing the development of desirable AI. The argument seems to be that while the use of nuclear weapons has a pretty clear-cut outcome, AI isn't always so black and white. But if this feels a little too dystopian for your tastes, the paper dedicates an entire section to reallocating AI resources for the betterment of society as a whole. The idea being that policymakers could come together to make AI compute more accessible to groups unlikely to use it for evil, a concept described as "allocation."

Lindsay Clark reports via The Register: In a statement on the Azure console, Microsoft confirmed the Azure IoT Central service is being retired on March 31, 2027. "Starting on April 1, 2024, you won't be able to create new application resources; however, all existing IoT Central applications will continue to function and be managed. Subscription {{subscriptionld} is not allowed to create new applications. Please create a support ticket to request an exception," the statement to customers, seen by The Register, said. According to a Microsoft "Learn" post from February 8, 2024, IoT Central is an IoT application platform as a service (aPaaS) designed to reduce work and costs while building, managing, and maintaining IoT solutions.

Microsoft's Azure IoT offering includes three pillars: IoT Hub, IoT Edge and IoT Central. IoT Hub is a cloud-based service that provides a "secure and scalable way to connect, monitor, and manage IoT devices and sensors," according to Microsoft. Azure IoT Edge is designed to allow devices to run cloud-based workloads locally. And Azure IoT Central is a fully managed, cloud-based IoT solution for connecting and managing devices at scale. Central is a layer above Hub in the architecture, and Hub itself may well continue. One developer told The Register there was no warning about Hub on the Azure console. As for IoT Edge, it is "a device-focused runtime that enables you to deploy, run, and monitor containerized Linux workloads." Microsoft has not said whether this would continue.

A core developer of Nginx, currently the world's most popular web server, has quit the project, stating that he no longer sees it as "a free and open source project... for the public good." From a report: His fork, freenginx, is "going to be run by developers, and not corporate entities," writes Maxim Dounin, and will be "free from arbitrary corporate actions." Dounin is one of the earliest and still most active coders on the open source Nginx project and one of the first employees of Nginx, Inc., a company created in 2011 to commercially support the steadily growing web server. Nginx is now used on roughly one-third of the world's web servers, ahead of Apache.

Nginx Inc. was acquired by Seattle-based networking firm F5 in 2019. Later that year, two of Nginx's leaders, Maxim Konovalov and Igor Sysoev, were detained and interrogated in their homes by armed Russian state agents. Sysoev's former employer, Internet firm Rambler, claimed that it owned the rights to Nginx's source code, as it was developed during Sysoev's tenure at Rambler (where Dounin also worked). While the criminal charges and rights do not appear to have materialized, the implications of a Russian company's intrusion into a popular open source piece of the web's infrastructure caused some alarm. Sysoev left F5 and the Nginx project in early 2022. Later that year, due to the Russian invasion of Ukraine, F5 discontinued all operations in Russia. Some Nginx developers still in Russia formed Angie, developed in large part to support Nginx users in Russia. Dounin technically stopped working for F5 at that point, too, but maintained his role in Nginx "as a volunteer," according to Dounin's mailing list post.

Dounin writes in his announcement that "new non-technical management" at F5 "recently decided that they know better how to run open source projects. In particular, they decided to interfere with security policy nginx uses for years, ignoring both the policy and developers' position." While it was "quite understandable," given their ownership, Dounin wrote that it means he was "no longer able to control which changes are made in nginx," hence his departure and fork.

An anonymous reader quotes a report from Ars Technica: Broadcom has made a lot of changes to VMware since closing its acquisition of the company in November. On Wednesday, VMware admitted that these changes are worrying customers. With customers mulling alternatives and partners complaining, VMware is trying to do damage control and convince people that change is good. Not surprisingly, the plea comes from a VMware marketing executive: Prashanth Shenoy, VP of product and technical marketing for the Cloud, Infrastructure, Platforms, and Solutions group at VMware. In Wednesday's announcement, Shenoy admitted that VMware "has been all about change" since being swooped up for $61 billion. This has resulted in "many questions and concerns" as customers "evaluate how to maximize value from" VMware products.

Among these changes is VMware ending perpetual license sales in favor of a subscription-based business model. VMware had a history of relying on perpetual licensing; VMware called the model its "most renowned" a year ago. Shenoy's blog sought to provide reasoning for the change, with the executive writing that "all major enterprise software providers are on [subscription models] today." However, the idea that '"everyone's doing it" has done little to ameliorate impacted customers who prefer paying for something once and owning it indefinitely (while paying for associated support costs). Customers are also dealing with budget concerns with already paid-for licenses set to lose support and the only alternative being a monthly fee.

Shenoy's blog, though, focused on license portability. "This means you will be able to deploy on-premises and then take your subscription at any time to a supported Hyperscaler or VMware Cloud Services Provider environment as desired. You retain your license subscription as you move," Shenoy wrote, noting new Google Cloud VMware Engine license portability support for VMware Cloud Foundation. Further, Shenoy claimed the discontinuation of VMware products so that Broadcom could focus on VMware Cloud Foundation and vSphere Foundation would be beneficial, because "offering a few offerings that are lower in price on the high end and are packed with more value for the same or less cost on the lower end makes business sense for customers, partners, and VMware." VMware's Wednesday post also addressed Broadcom taking VMware's biggest customers direct, removing channel partners from the equation: "It makes business sense for Broadcom to have close relationships with its most strategic VMware customers to make sure VMware Cloud Foundation is being adopted, used, and providing customer value. However, we expect there will be a role change in accounts that will have to be worked through so that both Broadcom and our partners are providing the most value and greatest impact to strategic customers. And, partners will play a critical role in adding value beyond what Broadcom may be able."

"Broadcom identified things that needed to change and, as a responsible company, made the changes quickly and decisively," added Shenoy. "The changes that have taken place over the past 60+ days were absolutely necessary."

An anonymous reader shares a report: Alphabet's Google is rolling out a new version of its powerful artificial intelligence model that it says can handle larger amounts of text and video than products made by competitors. The updated AI model, called Gemini 1.5 Pro, will be available on Thursday to cloud customers and developers so they can test its new features and eventually create new commercial applications. Google and its rivals have spent billions to ramp up their capabilities in generative AI and are keen to attract corporate clients to show their investments are paying off. [...]

Gemini 1.5 can be trained faster and more efficiently, and has the ability to process a huge amount of information each time it's prompted, according to Vinyals. For example, developers can use Gemini 1.5 Pro to query up to an hour's worth of video, 11 hours of audio or more than 700,000 words in a document, an amount of data that Google says is the "longest context window" of any large-scale AI model yet. Gemini 1.5 can process far more data compared with what the latest AI models from OpenAI and Anthropic can handle, according to Google. In a pre-recorded video demonstration for reporters, Google showed off how engineers asked Gemini 1.5 Pro to ingest a 402-page PDF transcript of the Apollo 11 moon landing, and then prompted it to find quotes that showed "three funny moments."

Dumping chemicals in the ocean? Spraying saltwater into clouds? Injecting reflective particles into the sky? Scientists are resorting to once unthinkable techniques to cool the planet because global efforts to check greenhouse gas emissions are failing. From a report: These geoengineering approaches were once considered taboo by scientists and regulators who feared that tinkering with the environment could have unintended consequences, but now researchers are receiving taxpayer funds and private investments to get out of the lab and test these methods outdoors. The shift reflects growing concern that efforts to reduce greenhouse gas emissions aren't moving fast enough to prevent the destructive effects of heat waves, storms and floods made worse by climate change. Geoengineering isn't a substitute for reducing emissions, according to scientists and business leaders involved in the projects. Rather, it is a way to slow climate warming in the next few years while buying time to switch to a carbon-free economy in the longer term.

Three field experiments are under way in the U.S. and overseas. This month, researchers aboard a ship off the northeastern coast of Australia near the Whitsunday Islands are spraying a briny mixture through high-pressure nozzles into the air in an attempt to brighten low-altitude clouds that form over the ocean. Scientists hope bigger, brighter clouds will reflect sunlight away from the Earth, shade the ocean surface and cool the waters around the Great Barrier Reef, where warming ocean temperatures have contributed to massive coral die-offs. The research project, known as marine cloud brightening, is led by Southern Cross University as part of the $64.55 million, or 100 million Australian dollars, Reef Restoration and Adaptation Program. The program is funded by the partnership between the Australian government's Reef Trust and the Great Barrier Reef Foundation and includes conservation organizations and several academic institutions.

Nvidia is now the third most valuable company in the U.S., surpassing Google parent Alphabet and Amazon. It's only behind Apple and Microsoft in terms of market cap. CNBC reports: Nvidia rose over 2% to close at $739.00 per share, giving it a market value of $1.83 trillion to Google's $1.82 trillion market cap. The move comes one day after Nvidia surpassed Amazon in terms of market value. The symbolic milestone is more confirmation that Nvidia has become a Wall Street darling on the back of elevated AI chip sales, valued even more highly than some of the large software companies and cloud providers that develop and integrate AI technology into their products.

Nvidia shares are up over 221% over the past 12 months on robust demand for its AI server chips that can cost more than $20,000 each. Companies like Google and Amazon need thousands of them for their cloud services. Before the recent AI boom, Nvidia was best known for consumer graphics processors it sold to PC makers to build gaming computers, a less lucrative market.

An anonymous reader quotes a report from TechCrunch: The U.S. Department of Defense is notifying tens of thousands of individuals that their personal information was exposed in an email data spill last year. According to the breach notification letter sent out to affected individuals on February 1, the Defense Intelligence Agency -- the DOD's military intelligence agency -- said, "numerous email messages were inadvertently exposed to the Internet by a service provider," between February 3 and February 20, 2023. TechCrunch has learned that the breach disclosure letters relate to an unsecured U.S. government cloud email server that was spilling sensitive emails to the open internet. The cloud email server, hosted on Microsoft's cloud for government customers, was accessible from the internet without a password, likely due to a misconfiguration.

The DOD is sending breach notification letters to around 20,600 individuals whose information was affected. "As a matter of practice and operations security, we do not comment on the status of our networks and systems. The affected server was identified and removed from public access on February 20, 2023, and the vendor has resolved the issues that resulted in the exposure. DOD continues to engage with the service provider on improving cyber event prevention and detection. Notification to affected individuals is ongoing," said DOD spokesperson Cdr. Tim Gorman in an email to TechCrunch.

FTC chair Lina Khan is hunting for evidence that Microsoft, Google and Amazon require cloud computing spend, board seats or exclusivity deals in return for their investments in AI startups. From a report: At a Friday event, Khan framed today's AI landscape as an inflection point for tech that is "enormously important for opening up markets and injecting competition and disrupting existing incumbents." The FTC chair offered Axios' Sara Fischer new details of how she's handling a market inquiry into the relationship between Big Tech companies and AI startups, in an interview at the Digital Content Next Summit in Charleston, S.C.

In handling the surge in AI innovation and its impacts on the broader tech and media landscape, Khan said she aims to tackle monopoly "before it becomes fully fledged." She said the FTC is looking for chokepoints in each layer of the AI tech stack: "chips. compute, foundational models, applications." Khan said she's also paying close attention to vertical integration -- when players look to extend dominance over one tech layer into adjacent layers -- or when they attempt acquisitions aimed at solidifying an existing monopoly. That includes any potential integration between Sam Altman's nascent chip project and OpenAI, though she said she welcomes chip competition.

Backblaze has published a report on hard drive failures for 2023, finding that rates increased during the year due to aging drives that it plans to upgrade. From a report: Backblaze, which focuses on cloud-based storage services, claims to have more than three exabytes of data storage under its management. As of the end of last year, the company monitored 270,222 hard drives used for data storage, some of which are excluded from the statistics because they are still being evaluated. That still left a collection of 269,756 hard drives comprised of 35 drive models. Statistics on SSDs used as boot drives are reported separately.

Backblaze found one drive model exhibited zero failures for all of 2023, the Seagate 8 TB ST8000NM000A. However, this came with the caveat that there are only 204 examples in service, and these were deployed only since Q3 2022, so have accumulated a limited number of drive days (total time operational). Nevertheless, as Backblaze's principal cloud storage evangelist Andy Klein pointed out: "Zero failures over 18 months is a nice start."

An anonymous reader quotes a report from The Verge: The US government has committed $42 million to further the development of the 5G Open RAN (O-RAN) standard that would allow wireless providers to mix and match cellular hardware and software, opening up a bigger market for third-party equipment that's cheaper and interoperable. The National Telecommunications and Information Administration (NTIA) grant would establish a Dallas O-RAN testing center to prove the standard's viability as a way to head off Huawei's steady cruise toward a global cellular network hardware monopoly.

Verizon global network and technology president Joe Russo promoted the funding as a way to achieve "faster innovation in an open environment." To achieve the standard's goals, AT&T vice president of RAN technology Robert Soni says that AT&T and Verizon have formed the Acceleration of Compatibility and Commercialization for Open RAN Deployments Consortium (ACCoRD), which includes a grab bag of wireless technology companies like Ericsson, Nokia, Samsung, Dell, Intel, Broadcom, and Rakuten. Japanese wireless carrier Rakuten formed as the first O-RAN network in 2020. The company's then CEO, Tareq Amin, told The Verge's Nilay Patel in 2022 that Open RAN would enable low-cost network build-outs using smaller equipment rather than massive towers -- which has long been part of the promise of 5G.

But O-RAN is about more than that; establishing interoperability means companies like Verizon and AT&T wouldn't be forced to buy all of their hardware from a single company to create a functional network. For the rest of us, that means faster build-outs and "more agile networks," according to Rakuten. In the US, Dish has been working on its own O-RAN network, under the name Project Genesis. The 5G network was creaky and unreliable when former Verge staffer Mitchell Clarke tried it out in Las Vegas in 2022, but the company said in June last year that it had made its goal of covering 70 percent of the US population. Dish has struggled to become the next big cell provider in the US, though -- leading satellite communications company EchoStar, which spun off from Dish in 2008, to purchase the company in January. The Washington Post writes that O-RAN "is Washington's anointed champion to try to unseat the Chinese tech giant Huawei Technologies" as the world's biggest supplier of cellular infrastructure gear.

According to the Post, Biden has emphasized the importance of O-RAN in conversations with international leaders over the past few years. Additionally, it notes that Congress along with the NTIA have dedicated approximately $2 billion to support the development of this standard.

InfoWorld reports: Don't look now, but 25% of organizations surveyed in the United Kingdom have already moved half or more of their cloud-based workloads back to on-premises infrastructures. This is according to a recent study by Citrix, a Cloud Software Group business unit. The survey questioned 350 IT leaders on their current approaches to cloud computing. The survey also showed that 93% of respondents had been involved with a cloud repatriation project in the past three years. That is a lot of repatriation. Why?

Security issues and high project expectations were reported as the top motivators (33%) for relocating some cloud-based workloads back to on-premises infrastructures such as enterprise data centers, colocation providers, and managed service providers (MSPs). Another significant driver was the failure to meet internal expectations, at 24%... Those surveyed also cited unexpected costs, performance issues, compatibility problems, and service downtime. The most common motivator for repatriation I've been seeing is cost. In the survey, more than 43% of IT leaders found that moving applications and data from on-premises to the cloud was more expensive than expected.

Although not a part of the survey, the cost of operating applications and storing data on the cloud has also been significantly more expensive than most enterprises expected. The cost-benefit analysis of cloud versus on-premises infrastructure varies greatly depending on the organization... The cloud is a good fit for modern applications that leverage a group of services, such as serverless, containers, or clustering. However, that doesn't describe most enterprise applications.
The article cautions, "Don't feel sorry for the public cloud providers."

"Any losses from repatriation will be quickly replaced by the vast amounts of infrastructure needed to build and run AI-based systems... As I've said a few times here, cloud conferences have become genAI conferences, which will continue for several years."

An anonymous reader shared this report from Reuters: Nvidia is building a new business unit focused on designing bespoke chips for cloud computing firms and others, including advanced AI processors, nine sources familiar with its plans told Reuters. The dominant global designer and supplier of AI chips aims to capture a portion of an exploding market for custom AI chips and shield itself from the growing number of companies pursuing alternatives to its products.

The Santa Clara, California-based company controls about 80% of high-end AI chip market, a position that has sent its stock market value up 40% so far this year to $1.73 trillion after it more than tripled in 2023. Nvidia's customers, which include ChatGPT creator OpenAI, Microsoft, Alphabet, and Meta Platforms, have raced to snap up the dwindling supply of its chips to compete in the fast-emerging generative AI sector. Its H100 and A100 chips serve as a generalized, all-purpose AI processor for many of those major customers. But the tech companies have started to develop their own internal chips for specific needs. Doing so helps reduce energy consumption, and potentially can shrink the cost and time to design.

Nvidia is now attempting to play a role in helping these companies develop custom AI chips that have flowed to rival firms such as Broadcom and Marvell Technology, said the sources, who declined to be identified because they were not authorized to speak publicly...

Nvidia moving into this territory has the potential to eat into Broadcom and Marvell sales.

Longtime Slashdot reader Alain Williams shares a report from the BBC: Users of Ring video doorbells have reacted angrily to a huge price hike being introduced in March. After buying the devices, customers can pay a subscription to store footage on the cloud, download clips and get discounted products. That subscription is going up 43%, from $44 to $63 per device, per year, for basic plan customers. The firm, which is owned by Amazon, insisted it still provided "some of the best value in the industry." Its customers appear not to to agree.

Google has renamed its AI assistant to "Gemini" and unveiled a paid subscription tier offering. The $19.99/month "Gemini Advanced" includes a more powerful AI model and cloud storage integration, targeting users seeking advanced content creation and complex query resolution. Google is also leveraging its Android user base by making Gemini the default digital assistant, aiming to replicate the success of its billion-user products.

"When Satya Nadella replaced Steve Ballmer as Microsoft CEO in February 2014, the software company was mired in mediocrity," writes CNBC, noting that Microsoft's market cap was just over $300 billion.

"A decade later, Microsoft's valuation has swelled tenfold, to $3.06 trillion, making it the world's most valuable public company, ahead of Apple." (And it's also "firmly entrenched as a leader in key areas, such as cloud and artificial intelligence.") As Nadella marks his 10-year anniversary at the helm, he's widely praised across the tech industry for changing the narrative at Microsoft, whose stock fell 30% during Ballmer's 14 years at the top. In that era, the company was squelched by Google in web search and mobile and was completely left behind in social media. Many tech industry analysts and investors would say that, thanks largely to Nadella, Microsoft is now set up to be a powerhouse for the foreseeable future...

In a 2020 interview, Pat Gelsinger, then CEO of VMware, said offering his company's software on Microsoft's Azure cloud was akin to a "Middle East peace treaty...." In the Nadella age, Microsoft has also contributed to open-source projects, released software under open-source licenses and released a version of its Teams communications app for Linux... In 2018, Nadella came to believe in the idea of buying GitHub just 20 minutes after Nat Friedman, then a Microsoft corporate vice president, started pitching him on it. Right away, Nadella suggested that Friedman become GitHub's new CEO, Friedman said. Microsoft paid $7.5 billion for the code-storage startup...

While Nadella may not bring as much entertainment value, he's proven to be more effective than Ballmer when it comes to dealmaking. In addition to GitHub, Nadella has made pricey acquisitions such as LinkedIn, Minecraft parent Mojang, and Nuance Communications that have contributed to Microsoft's top line. More recently, Nadella helped Microsoft land the $75 billion acquisition of game publisher Activision Blizzard...
The article also adds that Microsoft "looked at buying TikTok in the U.S. in 2020, but nothing came of those discussions."

Slashdot reader Unpopular Opinions requests suggestions from the Slashdot community: Lately a boom of companies decided to play their "nice guy" card, providing us with a trove of information about our own sites, DNS servers, email servers, pretty much anything about any online service you host.

Which is not anything new... Companies have been doing this for decades, except as paid services you requested. Now the trend is basically anyone can do it over my systems, and they are always more than happy to sell anyone, me included, my data they collected without authorization or consent. It's data they never had the rights to collect and/or compile to begin with, including data collected thru access attempts via known default accounts (Administrator, root, admin, guest) and/or leaked credentials provided by hacked databases when a few elements seemingly match...

"Just block those crawlers"? That's what some of those companies advise, but not only does the site operator have to automate it themself, not all companies offer lists of their source IP addresses or identify them. Some use multiple/different crawler domain names from their commercial product, or use cloud providers such as Google Cloud, AWS and Azure â" so one can't just block access to their company's networks without massive implications. They also change their own information with no warning, and many times, no updates to their own lists. Then, there is the indirect cost: computing cost, network cost, development cost, review cycle cost. It is a cat-and-mice game that has become very boring.

With the raise of concerns and ethical questions about AI harvesting and learning from copyrighted work, how are those security companies any different from AI, and how could one legally put a stop on this?
Block those crawlers? Change your Terms of Service? What's the best fix... Share your own thoughts and suggestions in the comments.

How can you stop security firms from harvesting your data?

An anonymous reader quotes a report from ProPublica: Over the last decade, police departments across the U.S. have spent millions of dollars equipping their officers with body-worn cameras that record what happens as they go about their work. Everything from traffic stops to welfare checks to responses to active shooters is now documented on video. The cameras were pitched by national and local law enforcement authorities as a tool for building public trust between police and their communities in the wake of police killings of civilians like Michael Brown, an 18 year old black teenager killed in Ferguson, Missouri in 2014. Video has the potential not only to get to the truth when someone is injured or killed by police, but also to allow systematic reviews of officer behavior to prevent deaths by flagging troublesome officers for supervisors or helping identify real-world examples of effective and destructive behaviors to use for training. But a series of ProPublica stories has shown that a decade on, those promises of transparency and accountability have not been realized.

One challenge: The sheer amount of video captured using body-worn cameras means few agencies have the resources to fully examine it. Most of what is recorded is simply stored away, never seen by anyone. Axon, the nation's largest provider of police cameras and of cloud storage for the video they capture, has a database of footage that has grown from around 6 terabytes in 2016 to more than 100 petabytes today. That's enough to hold more than 5,000 years of high definition video, or 25 million copies of last year's blockbuster movie "Barbie." "In any community, body-worn camera footage is the largest source of data on police-community interactions. Almost nothing is done with it," said Jonathan Wender, a former police officer who heads Polis Solutions, one of a growing group of companies and researchers offering analytic tools powered by artificial intelligence to help tackle that data problem.

The Paterson, New Jersey, police department has made such an analytic tool a major part of its plan to overhaul its force. In March 2023, the state's attorney general took over the department after police shot and killed Najee Seabrooks, a community activist experiencing a mental health crisis who had called 911 for help. The killing sparked protests and calls for a federal investigation of the department. The attorney general appointed Isa Abbassi, formerly the New York Police Department's chief of strategic initiatives, to develop a plan for how to win back public trust. "Changes in Paterson are led through the use of technology," Abbassi said at a press conference announcing his reform plan in September, "Perhaps one of the most exciting technology announcements today is a real game changer when it comes to police accountability and professionalism." The department, Abassi said, had contracted with Truleo, a Chicago-based software company that examines audio from bodycam videos to identify problematic officers and patterns of behavior.

For around $50,000 a year, Truleo's software allows supervisors to select from a set of specific behaviors to flag, such as when officers interrupt civilians, use profanity, use force or mute their cameras. The flags are based on data Truleo has collected on which officer behaviors result in violent escalation. Among the conclusions from Truleo's research: Officers need to explain what they are doing. "There are certain officers who don't introduce themselves, they interrupt people, and they don't give explanations. They just do a lot of command, command, command, command, command," said Anthony Tassone, Truleo's co-founder. "That officer's headed down the wrong path." For Paterson police, Truleo allows the department to "review 100% of body worn camera footage to identify risky behaviors and increase professionalism," according to its strategic overhaul plan. The software, the department said in its plan, will detect events like uses of force, pursuits, frisks and non-compliance incidents and allow supervisors to screen for both "professional and unprofessional officer language." There are around 30 police departments currently use Truleo, according to the company.

Christopher J. Schneider, a professor at Canada's Brandon University who studies the impact of emerging technology on social perceptions of police, is skeptical the AI tools will fix the problems in policing because the findings might be kept from the public just like many internal investigations. "Because it's confidential," he said, "the public are not going to know which officers are bad or have been disciplined or not been disciplined."

Palworld, a viral "Pokemon with guns" game, has become Microsoft's biggest third-party launch on Game Pass. According to developer Pocketpair, the game sold 12 million copies on Steam and seven million on Xbox since its January 19 launch. A million of the copies were sold in its first eight hours. Engadget reports: In addition to being the biggest third-party Game Pass launch ever, Palworld had the largest third-party day-one launch on Xbox Cloud Gaming (included with Game Pass Ultimate). The game's highest peak since launch was nearly three million daily active users on Xbox. Microsoft says it was the most-played game on Xbox platforms during that period.

Palworld uses Pokemon-esque characters and themes -- enough to catch the attention of Nintendo's lawyers. It has battles with monsters similar to those in the creature-collecting series, including the ability to capture them inside a sphere after winning. But Palworld also includes biting social commentary and incorporates themes you'd never see in Pokemon -- like labor exploitation. "Don't worry, there are no labor laws for Pals," a game FAQ reads. One of the title's trailers showed a player circling hard-at-work Pals with an assault rifle. "Creating a productive base like this is the secret to living a comfortable life in Palworld," the narration reads.