Datacenter power issues in Ireland may be coming to a head amid reports from customers that Amazon is restricting resources users can spin up in that nation, even directing them to other AWS regions across Europe instead. From a report: Energy consumed by datacenters is a growing concern, especially in places such as Ireland where there are clusters of facilities around Dublin that already account for a significant share of the country's energy supply. This may be leading to restrictions on how much infrastructure can be used, given the power requirements. AWS users have informed The Register that there are sometimes limits on the resources that they can access in its Ireland bit barn, home to Amazon's eu-west-1 region, especially with power-hungry instances that make use of GPUs to accelerate workloads such as AI.

"You cannot spin up GPU nodes in AWS Dublin as those locations are maxed out power-wise. There is reserved capacity for EC2 just in case," one source told us. "If you have a problem with that, AWS Europe will point you at spare capacity in Sweden and other parts of the EU." We asked AWS about these issues, but when it finally responded the company was somewhat evasive. "Ireland remains core to our global infrastructure strategy, and we will continue to work with customers to understand their needs, and help them to scale and grow their business," a spokesperson told us. Ireland's power grid operator, EirGrid, was likewise less than direct when we asked if they were limiting the amount of power datacenters could consume.

Scientists from Oxford University Physics have developed a breakthrough in cloud-based quantum computing that could allow it to be harnessed by millions of individuals and companies. The findings have been published in the journal Physical Review Letters. Phys.Org reports: In the new study, the researchers use an approach dubbed "blind quantum computing," which connects two totally separate quantum computing entities -- potentially an individual at home or in an office accessing a cloud server -- in a completely secure way. Importantly, their new methods could be scaled up to large quantum computations. "Using blind quantum computing, clients can access remote quantum computers to process confidential data with secret algorithms and even verify the results are correct, without revealing any useful information. Realizing this concept is a big step forward in both quantum computing and keeping our information safe online," said study lead Dr. Peter Drmota, of Oxford University Physics.

The researchers created a system comprising a fiber network link between a quantum computing server and a simple device detecting photons, or particles of light, at an independent computer remotely accessing its cloud services. This allows so-called blind quantum computing over a network. Every computation incurs a correction that must be applied to all that follow and needs real-time information to comply with the algorithm. The researchers used a unique combination of quantum memory and photons to achieve this. The results could ultimately lead to commercial development of devices to plug into laptops, to safeguard data when people are using quantum cloud computing services. "We have shown for the first time that quantum computing in the cloud can be accessed in a scalable, practical way which will also give people complete security and privacy of data, plus the ability to verify its authenticity," said Professor David Lucas, who co-heads the Oxford University Physics research team and is lead scientist at the UK Quantum Computing and Simulation Hub, led from Oxford University Physics.

An anonymous reader quotes a report from KrebsOnSecurity: The U.S. Cybersecurity and Infrastructure Security Agency (CISA) said today it is investigating a breach at business intelligence company Sisense, whose products are designed to allow companies to view the status of multiple third-party online services in a single dashboard. CISA urged all Sisense customers to reset any credentials and secrets that may have been shared with the company, which is the same advice Sisense gave to its customers Wednesday evening. New York City based Sisense has more than 1,000 customers across a range of industry verticals, including financial services, telecommunications, healthcare and higher education. On April 10, Sisense Chief Information Security Officer Sangram Dash told customers the company had been made aware of reports that "certain Sisense company information may have been made available on what we have been advised is a restricted access server (not generally available on the internet.)" In its alert, CISA said it was working with private industry partners to respond to a recent compromise discovered by independent security researchers involving Sisense.

Sisense declined to comment when asked about the veracity of information shared by two trusted sources with close knowledge of the breach investigation. Those sources said the breach appears to have started when the attackers somehow gained access to the company's code repository at Gitlab, and that in that repository was a token or credential that gave the bad guys access to Sisense's Amazon S3 buckets in the cloud. Both sources said the attackers used the S3 access to copy and exfiltrate several terabytes worth of Sisense customer data, which apparently included millions of access tokens, email account passwords, and even SSL certificates.

The incident raises questions about whether Sisense was doing enough to protect sensitive data entrusted to it by customers, such as whether the massive volume of stolen customer data was ever encrypted while at rest in these Amazon cloud servers. It is clear, however, that unknown attackers now have all of the credentials that Sisense customers used in their dashboards. The breach also makes clear that Sisense is somewhat limited in the clean-up actions that it can take on behalf of customers, because access tokens are essentially text files on your computer that allow you to stay logged in for extended periods of time -- sometimes indefinitely. And depending on which service we're talking about, it may be possible for attackers to re-use those access tokens to authenticate as the victim without ever having to present valid credentials. Beyond that, it is largely up to Sisense customers to decide if and when they change passwords to the various third-party services that they've previously entrusted to Sisense. "If they are hosting customer data on a third-party system like Amazon, it better damn well be encrypted," said Nicholas Weaver, a researcher at University of California, Berkeley's International Computer Science Institute (ICSI) and lecturer at UC Davis. "If they are telling people to rest credentials, that means it was not encrypted. So mistake number one is leaving Amazon credentials in your Git archive. Mistake number two is using S3 without using encryption on top of it. The former is bad but forgivable, but the latter given their business is unforgivable."

A federal jury in Illinois on Wednesday said Amazon Web Services owes tech company Kove $525 million for violating three patents relating to its data-storage technology. From the report: The jury determined (PDF) that AWS infringed three Kove patents covering technology that Kove said had become "essential" to the ability of Amazon's cloud-computing arm to "store and retrieve massive amounts of data." An Amazon spokesperson said the company disagrees with the verdict and intends to appeal. Kove's lead attorney Courtland Reichman called the verdict "a testament to the power of innovation and the importance of protecting IP (intellectual property) rights for start-up companies against tech giants." Kove also sued Google last year for infringing the same three patents in a separate Illinois lawsuit that is still ongoing.

An anonymous reader quotes a report from Ars Technica: Hardware sold for years by the likes of Intel and Lenovo contains a remotely exploitable vulnerability that will never be fixed. The cause: a supply chain snafu involving an open source software package and hardware from multiple manufacturers that directly or indirectly incorporated it into their products. Researchers from security firm Binarly have confirmed that the lapse has resulted in Intel, Lenovo, and Supermicro shipping server hardware that contains a vulnerability that can be exploited to reveal security-critical information. The researchers, however, went on to warn that any hardware that incorporates certain generations of baseboard management controllers made by Duluth, Georgia-based AMI or Taiwan-based AETN are also affected.

BMCs are tiny computers soldered into the motherboard of servers that allow cloud centers, and sometimes their customers, to streamline the remote management of vast fleets of servers. They enable administrators to remotely reinstall OSes, install and uninstall apps, and control just about every other aspect of the system -- even when it's turned off. BMCs provide what's known in the industry as "lights-out" system management. AMI and AETN are two of several makers of BMCs. For years, BMCs from multiple manufacturers have incorporated vulnerable versions of open source software known as lighttpd. Lighttpd is a fast, lightweight web server that's compatible with various hardware and software platforms. It's used in all kinds of wares, including in embedded devices like BMCs, to allow remote administrators to control servers remotely with HTTP requests. [...] "All these years, [the lighttpd vulnerability] was present inside the firmware and nobody cared to update one of the third-party components used to build this firmware image," Binarly researchers wrote Thursday. "This is another perfect example of inconsistencies in the firmware supply chain. A very outdated third-party component present in the latest version of firmware, creating additional risk for end users. Are there more systems that use the vulnerable version of lighttpd across the industry?"

The vulnerability makes it possible for hackers to identify memory addresses responsible for handling key functions. Operating systems take pains to randomize and conceal these locations so they can't be used in software exploits. By chaining an exploit for the lighttpd vulnerability with a separate vulnerability, hackers could defeat this standard protection, which is known as address space layout randomization. The chaining of two or more exploits has become a common feature of hacking attacks these days as software makers continue to add anti-exploitation protections to their code. Tracking the supply chain for multiple BMCs used in multiple server hardware is difficult. So far, Binarly has identified AMI's MegaRAC BMC as one of the vulnerable BMCs. The security firm has confirmed that the AMI BMC is contained in the Intel Server System M70KLP hardware. Information about BMCs from ATEN or hardware from Lenovo and Supermicro aren't available at the moment. The vulnerability is present in any hardware that uses lighttpd versions 1.4.35, 1.4.45, and 1.4.51. "A potential attacker can exploit this vulnerability in order to read memory of Lighttpd Web Server process," Binarly researchers wrote in an advisory. "This may lead to sensitive data exfiltration, such as memory addresses, which can be used to bypass security mechanisms such as ASLR." Advisories are available here, here, and here.

Amazon on Thursday added Andrew Ng, the computer scientist who led AI projects at Alphabet's Google and China's Baidu, to its board amid rising competition among Big Techs to add users for their GenAI products. From a report: Amazon's cloud unit is facing pressure from Microsoft's early pact with ChatGPT-maker OpenAI and integration of its technology into Azure, while Alexa voice assistant is in race with genAI chat tools from OpenAI and Google.

The appointment, effective April 9, also follows job cuts across Amazon, which has seen enterprise cloud spending and e-commerce sales moderate due to macroeconomic factors such as inflation and high interest rates. "As we look toward 2024 (and beyond), we're not done lowering our cost to serve," CEO Andy Jassy said in a letter to shareholders on Thursday.

Zack Whittaker and Carly Page report via TechCrunch: Microsoft has resolved a security lapse that exposed internal company files and credentials to the open internet. Security researchers Can Yoleri, Murat Ozfidan and Egemen Kochisarli with SOCRadar, a cybersecurity company that helps organizations find security weaknesses, discovered an open and public storage server hosted on Microsoft's Azure cloud service that was storing internal information relating to Microsoft's Bing search engine. The Azure storage server housed code, scripts and configuration files containing passwords, keys and credentials used by the Microsoft employees for accessing other internal databases and systems. But the storage server itself was not protected with a password and could be accessed by anyone on the internet.

Yoleri told TechCrunch that the exposed data could potentially help malicious actors identify or access other places where Microsoft stores its internal files. Identifying those storage locations "could result in more significant data leaks and possibly compromise the services in use," Yoleri said. The researchers notified Microsoft of the security lapse on February 6, and Microsoft secured the spilling files on March 5. It's not known for how long the cloud server was exposed to the internet, or if anyone other than SOCRadar discovered the exposed data inside.

Privacy startup Proton already offers an email app, a VPN tool, cloud storage, a password manager, and a calendar app. In April 2022, Proton acquired SimpleLogin, an open-source product that generates email aliases to protect inboxes from spam and phishing. Today, Proton acquired Standard Notes, advancing its already strong commitment to the open-source community. From a report: Standard Notes is an open-source note-taking app, available on both mobile and desktop platforms, with a user base of over 300,000. [...] Proton founder and CEO Andy Yen makes a point of stating that Standard Notes will remain open-source, will continue to undergo independent audits, will continue to develop new features and updates, and that prices for the app/service will not change. Standard Notes has three tiers: Free, which includes 100MB of storage, offline access, and unlimited device sync; Productivity for $90 per year, which includes features like markdown, spreadsheets with advanced formulas, Daily Notebooks, and two-factor authentication; and Professional for $120 per year, which includes 100GB of cloud storage, sharing for up to five accounts, no file limit size, and more.

As the moon blocked the view of the sun across parts of Mexico, the United States and Canada on Monday, the celestial event managed another magnificent feat: It got people offline. From a report: According to Cloudflare, a cloud-computing service used by about 20 percent of websites globally, internet traffic dipped along the path of totality as spellbound viewers took a break from their phones and computers to catch a glimpse of the real-life spectacle.

The places with the most dramatic views saw the biggest dips in traffic compared with the previous week. In Vermont, Arkansas, Indiana, Maine, New Hampshire and Ohio -- states that were in the path of totality, meaning the moon completely blocked out the sun -- internet traffic dropped by 40 percent to 60 percent around the time of the eclipse, Cloudflare said. States that had partial views also saw drops in internet activity, but to a much lesser extent. At 3:25 p.m. Eastern time, internet traffic in New York dropped by 29 percent compared with the previous week, Cloudflare found.

The path of totality made up a roughly 110-mile-wide belt that stretched from Mazatlan, Mexico, to Montreal. In the Mexican state of Durango, which was in the eclipse zone, internet traffic measured by Cloudflare dipped 57 percent compared with the previous week, while farther south, in Mexico City, traffic was down 22 percent. The duration of the eclipse's totality varied by location, with some places experiencing it for more than four minutes while for others, it was just one to two minutes.

Gemini 1.5 Pro, Google's most capable generative AI model, is now available in public preview on Vertex AI, Google's enterprise-focused AI development platform. From a report: The company announced the news during its annual Cloud Next conference, which is taking place in Las Vegas this week. Gemini 1.5 Pro launched in February, joining Google's Gemini family of generative AI models. Undoubtedly its headlining feature is the amount of context that it can process: between 128,000 tokens to up to 1 million tokens, where "tokens" refers to subdivided bits of raw data (like the syllables "fan," "tas" and "tic" in the word "fantastic").

One million tokens is equivalent to around 700,000 words or around 30,000 lines of code. It's about four times the amount of data that Anthropic's flagship model, Claude 3, can take as input and about eight times as high as OpenAI's GPT-4 Turbo max context. A model's context, or context window, refers to the initial set of data (e.g. text) the model considers before generating output (e.g. additional text). A simple question -- "Who won the 2020 U.S. presidential election?" -- can serve as context, as can a movie script, email, essay or e-book.

Google Cloud on Tuesday joined AWS and Azure in announcing its first custom-built Arm processor, dubbed Axion. From a report: Based on Arm's Neoverse 2 designs, Google says its Axion instances offer 30% better performance than other Arm-based instances from competitors like AWS and Microsoft and up to 50% better performance and 60% better energy efficiency than comparable X86-based instances. [...] "Technical documentation, including benchmarking and architecture details, will be available later this year," Google spokesperson Amanda Lam said. Maybe the chips aren't even ready yet? After all, it took Google a while to announce Arm-chips in the cloud, especially considering that Google has long built its in-house TPU AI chips and, more recently, custom Arm-based mobile chips for its Pixel phones. AWS launched its Graviton chips back in 2018.

The UK government has admitted its negotiating power over billions of pounds of cloud infrastructure spending has been inhibited by vendor lock-in. From a report: A document from the Cabinet Office's Central Digital & Data Office, circulated within Whitehall, seen by The Register, says the "UK government's current approach to cloud adoption and management across its departments faces several challenges" which combined result "in risk concentration and vendor lock-in that inhibit UK government's negotiating power over the cloud vendors."

The paper also says that if the UK government -- which has spent tens of billions on cloud services in the last decade -- does not change its approach, "the existing dominance of AWS and Azure in the UK Government's cloud services is set to continue." Doing nothing would mean "leaving the government with minimal leverage over pricing and product options.

"This path forecasts a future where, within a decade, the public sector could face the end of its ability to negotiate favourable terms, leading to entrenched vendor lock-in and potential regulatory scrutiny from [UK regulator] the Competition and Markets Authority." The document has been circulated under the heading "UK Public Sector Cloud Marketplace." It is authored by Chris Nesbitt-Smith, a CDDO consultant, and sponsored by CDDO principal technical architect Edward McCutcheon and David Knott, CDDO chief technical officer.

An anonymous reader writes: The massive GPU clusters needed to train Stability AI's popular text-to-image generation model Stable Diffusion are apparently also at least partially responsible for former CEO Emad Mostaque's downfall -- because he couldn't find a way to pay for them. According to an extensive expose citing company documents and dozens of persons familiar with the matter, it's indicated that the British model builder's extreme infrastructure costs drained its coffers, leaving the biz with just $4 million in reserve by last October. Stability rented its infrastructure from Amazon Web Services, Google Cloud Platform, and GPU-centric cloud operator CoreWeave, at a reported cost of around $99 million a year. That's on top of the $54 million in wages and operating expenses required to keep the AI upstart afloat.

What's more, it appears that a sizable portion of the cloudy resources Stability AI paid for were being given away to anyone outside the startup interested in experimenting with Stability's models. One external researcher cited in the report estimated that a now-cancelled project was provided with at least $2.5 million worth of compute over the span of four months. Stability AI's infrastructure spending was not matched by revenue or fresh funding. The startup was projected to make just $11 million in sales for the 2023 calendar year. Its financials were apparently so bad that it allegedly underpaid its July 2023 bills to AWS by $1 million and had no intention of paying its August bill for $7 million. Google Cloud and CoreWeave were also not paid in full, with debts to the pair reaching $1.6 million as of October, it's reported.

It's not clear whether those bills were ultimately paid, but it's reported that the company -- once valued at a billion dollars -- weighed delaying tax payments to the UK government rather than skimping on its American payroll and risking legal penalties. The failing was pinned on Mostaque's inability to devise and execute a viable business plan. The company also failed to land deals with clients including Canva, NightCafe, Tome, and the Singaporean government, which contemplated a custom model, the report asserts. Stability's financial predicament spiraled, eroding trust among investors, making it difficult for the generative AI darling to raise additional capital, it is claimed. According to the report, Mostaque hoped to bring in a $95 million lifeline at the end of last year, but only managed to bring in $50 million from Intel. Only $20 million of that sum was disbursed, a significant shortfall given that the processor titan has a vested interest in Stability, with the AI biz slated to be a key customer for a supercomputer powered by 4,000 of its Gaudi2 accelerators. The report goes on to mention further fundraising challenges, issues retaining employees, and copyright infringement lawsuits challenging the company's future prospects. The full expose can be read via Forbes (paywalled).

An anonymous reader shares a report: Google offers a VPN via its "Google One" monthly subscription plan, and while it debuted on phones, a desktop app has been available for Windows and Mac OS for over a year now. Since a lot of people pay for Google One for the cloud storage increase for their Google accounts, you might be tempted to try the VPN on a desktop, but Windows users testing out the app haven't seemed too happy lately. An open bug report on Google's GitHub for the project says the Windows app "breaks" the Windows DNS, and this has been ongoing since at least November.

A VPN would naturally route all your traffic through a secure tunnel, but you've still got to do DNS lookups somewhere. A lot of VPN services also come with a DNS service, and Google is no different. The problem is that Google's VPN app changes the Windows DNS settings of all network adapters to always use Google's DNS, whether the VPN is on or off. Even if you change them, Google's program will change them back. Most VPN apps don't work this way, and even Google's Mac VPN program doesn't work this way. The users in the thread (and the ones emailing us) expect the app, at minimum, to use the original Windows settings when the VPN is off. Since running a VPN is often about privacy and security, users want to be able to change the DNS away from Google even when the VPN is running.

quonset shares a report: In a scathing indictment of Microsoft corporate security and transparency, a Biden administration-appointed review board issued a report Tuesday saying "a cascade of errors" by the tech giant let state-backed Chinese cyber operators break into email accounts of senior U.S. officials including Commerce Secretary Gina Raimondo.

The Cyber Safety Review Board, created in 2021 by executive order, describes shoddy cybersecurity practices, a lax corporate culture and a lack of sincerity about the company's knowledge of the targeted breach, which affected multiple U.S. agencies that deal with China. It concluded that "Microsoft's security culture was inadequate and requires an overhaul" given the company's ubiquity and critical role in the global technology ecosystem. Microsoft products "underpin essential services that support national security, the foundations of our economy, and public health and safety."

The panel said the intrusion, discovered in June by the State Department and dating to May "was preventable and should never have occurred," blaming its success on "a cascade of avoidable errors." What's more, the board said, Microsoft still doesn't know how the hackers got in. [...] It said Microsoft's CEO and board should institute "rapid cultural change" including publicly sharing "a plan with specific timelines to make fundamental, security-focused reforms across the company and its full suite of products."

An anonymous reader quotes a report from The Register: VMware by Broadcom will deliver a significant update to its flagship Cloud Foundation bundle in the middle of this year and follow it up with a major update early in 2025. Both releases will show off Broadcom's plan to make the package easier to implement and operate, and hopefully assuage customer concerns about price rises. More on that later. First, the updates. One release is currently scheduled to debut in July, according to Paul Turner, vice-president of product management and the leader of the VMware Cloud Foundation (VCF) team. The release will allow use of a single license key for all the components of Cloud Foundation, improve OAuth support as a step towards single sign-on across the VMware range, and add an NSX overlay that will allow implementation of software-defined networks without requiring IP address changes.

Turner explained those features as exemplifying the sort of simplification VMware by Broadcom thinks is needed to make Cloud Foundation easier to implement. A bigger release Turner hopes will debut in early 2025 -- though he would commit to only a H1 launch -- will be a "unified" release in which more of VCF is better integrated. Today, Turner admitted, VMware customers may have implemented vSphere and the Aria management suite, but might still need or choose discrete storage for each. Future VCF releases will increasingly unify the products so that silos aren't needed. Prashanth Shenoy, vice president for VMware by Broadcom's cloud platform, infrastructure, and solutions marketing, told The Register the release will be called VCF 9 and will represent "the fullest expression of Broadcom's vision for product integration." "When customers deploy VCF there are seams -- when they deploy networking and storage, they feel like they do not have a unified developer or operator experience," Shenoy admitted. VCF 9 will tidy that sort of thing up and make the process "seamless." Buyers can also expect improved log file analysis, the ability to acquire templates from a marketplace and adopt them as PaaS, and plenty more.

Turner and Shenoy told The Register that the two releases are hoped to make VCF adoption easier, and by doing so demonstrate the value of the bundle. Today, they argue, would-be hybrid cloud adopters using VCF are in reality integrating siloed products -- which doesn't prove the value of the vStack well. VCF 9's planned integrations, they argue, should demonstrate the power of the stack and the wisdom of Broadcom's decision to create a VMware unit dedicated to VCF. That team, they explained, means developers for each of the bundle's components work together on a unified experience, rather than to create their own product. It may also demonstrate the value of VMware by Broadcom's new licenses – which some users have complained are considerably more expensive now that subscriptions are required, and products are only sold in bundles. Sylvain Cazard, president of Broadcom Software for Asia-Pacific, told The Register that complaints about higher prices are unwarranted since customers using at least two components of VMware's flagship Cloud Foundation will end up paying less. He also noted that the new pricing includes support, which VMware didn't include previously.

AWS has expanded its free credits program for startups to cover the costs of using major AI models. From a report: In a move to attract startup customers, Amazon now allows its cloud credits to cover the use of models from other providers including Anthropic, Meta, Mistral AI, and Cohere. "This is another gift that we're making back to the startup ecosystem, in exchange for what we hope is startups continue to choose AWS as their first stop," said Howard Wright, vice president and global head of startups at AWS.

[...] As part of the deal, Anthropic will use AWS as its primary cloud provider, and Trainium and Inferentia chips to build and train its models. Wright said Amazon's free credit will contribute to revenue of Anthropic, one of the most popular models on Bedrock.

Lindsay Clark reports via The Register: Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the LLM bandwagon. The biz, founded around Apache Spark, published a slew of benchmarks claiming its general-purpose LLM -- dubbed DBRX -- beat open source rivals on language understanding, programming, and math. The developer also claimed it beat OpenAI's proprietary GPT-3.5 across the same measures.

DBRX was developed by Mosaic AI, which Databricks acquired for $1.3 billion, and trained on Nvidia DGX Cloud. Databricks claims it optimized DBRX for efficiency with what it calls a mixture-of-experts (MoE) architecture â" where multiple expert networks or learners divide up a problem. Databricks explained that the model possesses 132 billion parameters, but only 36 billion are active on any one input. Joel Minnick, Databricks marketing vice president, told The Register: "That is a big reason why the model is able to run as efficiently as it does, but also runs blazingly fast. In practical terms, if you use any kind of major chatbots that are out there today, you're probably used to waiting and watching the answer get generated. With DBRX it is near instantaneous."

But the performance of the model itself is not the point for Databricks. The biz is, after all, making DBRX available for free on GitHub and Hugging Face. Databricks is hoping customers use the model as the basis for their own LLMs. If that happens it might improve customer chatbots or internal question answering, while also showing how DBRX was built using Databricks's proprietary tools. Databricks put together the dataset from which DBRX was developed using Apache Spark and Databricks notebooks for data processing, Unity Catalog for data management and governance, and MLflow for experiment tracking.

Vladimir Putin has ordered Russia's government to explore the development of a series of homegrown consoles to compete with PlayStation and Xbox. Game Rant reports: Russia has taken issue with Western games and developers in recent years, leading the country to threaten the banning of certain titles like Apex Legends and The Last of Us Part 2. This is due to what the Russian government perceives as pro-LGBTQ messaging, which it openly opposes. In February, Russia's Organization for Developing the Video Game Industry (RVI) laid out a long-term plan that ended with the creation of a fully capable gaming console in 2026-2027. It seems that the Russian government may be attempting to follow through with this plan.

Following a meeting on the economic development of Kaliningrad, Putin requested government officials to research the requirements for domestic production of stationary and portable gaming consoles. The Russian president also ordered the planning of an appropriate operating system and cloud system for the consoles. The deadline for these plans is set for June 15, 2024, and Russia's prime minister was designated as the official overseeing these tasks. A Kremlin spokesperson confirmed that the orders intend to develop Russia's homegrown gaming industry.

The U.S. House has set a strict ban on congressional staffers' use of Microsoft Copilot, the company's AI-based chatbot, Axios reported Friday. From the report: The House last June restricted staffers' use of ChatGPT, allowing limited use of the paid subscription version while banning the free version. The House's Chief Administrative Officer Catherine Szpindor, in guidance to congressional offices obtained by Axios, said Microsoft Copilot is "unauthorized for House use."

"The Microsoft Copilot application has been deemed by the Office of Cybersecurity to be a risk to users due to the threat of leaking House data to non-House approved cloud services," it said. The guidance added that Copilot "will be removed from and blocked on all House Windows devices."