Bambu's X1C and P1P 3D printers started printing unattended, overnight, and without any additional user input, according to user reports from r/BambuLab and X. The Verge reports: Some woke up to failed prints. Some found a second copy of a previous print. And at least a few found their Bambu X1C or P1P had started smacking itself apart -- damaging components -- while trying to print a second copy atop the object they'd actually asked for. What happened? In an official blog post, Bambu says it's still investigating but suspects that a cloud outage is to blame. The company says its servers had two brief outages on Tuesday morning where the servers couldn't confirm that the printers had actually printed -- but instead of failing gracefully, they wound up sending the same print job again and again until it went through, Bambu's staff believes. "Simply explained, the print job sent to the printer before was trapped on the cloud and had a delayed start," writes Bambu.

When contacted by The Verge, Bambu would not go quite so far as to promise free repairs and replacements for all affected customers but says anyone who's suffered any damage should reach out to Bambu support ASAP. "For damage caused by this incident, we will offer the necessary solutions to our customers impacted by the Cloud Outage, in the form of part replacements or a printer replacement if the situation demands it," spokesperson Taylor Liu tells me.

China launched what is thought to be the world's first geosynchronous orbit synthetic aperture radar satellite on Saturday. SpaceNews reports: A Long March 3B rocket lifted off from Xichang Satellite Launch Center in southwest China at 1:36 p.m. Eastern (1736 UTC) Aug. 12. The Land Exploration-4 01 (Ludi Tance-4 (01)) satellite successfully entered geosynchronous transfer orbit, the China Aerospace Science and Technology Corp., (CASC) announced within an hour of liftoff. Few details of the satellite were provided by CASC. However the group's "blue book" outlining plans for 2023 released in January noted the launch of a "high-orbit 20-meter [resolution] SAR satellite."

The L-band synthetic aperture radar (SAR) satellite will provide all-day, all-weather observation of China and surrounding areas, boosting the country's disaster prevention, reduction, and relief capabilities. The land observation satellite series and "high-orbit SAR technology" are listed in the country's Medium and Long Term Development Plan for Civilian Space Infrastructure (2015-2025). The plan includes establishing high and medium resolution optical and synthetic aperture radar constellations for a range of land, marine and atmospheric monitoring. The series is separate from the China High-resolution Earth Observation System (CHEOS), which consists of Gaofen ("high resolution") satellites. China's Gaofen-4 satellite is a GEO optical satellite. SAR at GEO, while providing much lower resolution than satellites in low Earth orbit, can provide constant coverage and imagery despite cloud cover.

It is not yet known what orbital scheme the Land Exploration-4 (01) satellite will enter. An inclined GEO orbit would produce a "figure eight" ground track over the area of intended coverage. Chinese academics from the Beijing Institute of Technology have produced a study of various schemes, while others have published research into modified signal models for GEO SAR. The (01) designation suggests China could launch other SAR satellites into geosynchronous orbits. The satellite was developed by the China Academy of Spacecraft Technology (CAST.)

In April, Alphabet CEO Sundar Pichai took an unusual step: merging two large artificial intelligence teams -- with distinct cultures and code -- to catch up to and surpass OpenAI and other rivals. Now the test of that effort is coming, with hundreds of people scrambling to release a group of large machine-learning models -- one of the highest-stakes products the company has ever built -- this fall. The Information: The models, collectively known as Gemini, are expected to give Google the ability to build products its competitors can't, according to a person involved with Gemini's development. OpenAI's GPT-4 large-language model can understand and produce conversational text. Gemini will go beyond that, combining the text capabilities of LLMs like GPT-4 with the ability to create AI images based on a text description, similar to AI-image generators Midjourney and Stable Diffusion, this person said. Gemini's image capabilities haven't been previously reported.

Google employees have also discussed using Gemini to offer features like analyzing charts or creating graphics with text descriptions and controlling software using text or voice commands. Google is betting on Gemini to power services ranging from its Bard chatbot, which competes with OpenAI's ChatGPT, to enterprise apps like Google Docs and Slides. Google also wants to charge app developers for access to Gemini through its Google Cloud server-rental unit. Google Cloud currently sells access to more primitive Google-made AI models through a product called Vertex AI. Those new features could help Google catch up with Microsoft, which has raced ahead with new AI features for its Office 365 apps and has also been selling access to OpenAI's models to its app customers.

An anonymous reader shared this report from CNBC: In an unmarked office building in Austin, Texas, two small rooms contain a handful of Amazon employees designing two types of microchips for training and accelerating generative AI. These custom chips, Inferentia and Trainium, offer AWS customers an alternative to training their large language models on Nvidia GPUs, which have been getting difficult and expensive to procure. "The entire world would like more chips for doing generative AI, whether that's GPUs or whether that's Amazon's own chips that we're designing," Amazon Web Services CEO Adam Selipsky told CNBC in an finterview in June. "I think that we're in a better position than anybody else on Earth to supply the capacity that our customers collectively are going to want...."

In the long run, said Chirag Dekate, VP analyst at Gartner, Amazon's custom silicon could give it an edge in generative AI...
With millions of customers, Amazon's AWS cloud service "still accounted for 70% of Amazon's overall $7.7 billion operating profit in the second quarter," CNBC notes. But does that give them a competitive advantage?

A technology VP for the service tells them "It's a question of velocity. How quickly can these companies move to develop these generative AI applications is driven by starting first on the data they have in AWS and using compute and machine learning tools that we provide." In June, AWS announced a $100 million generative AI innovation "center."

"We have so many customers who are saying, 'I want to do generative AI,' but they don't necessarily know what that means for them in the context of their own businesses. And so we're going to bring in solutions architects and engineers and strategists and data scientists to work with them one on one," AWS CEO Selipsky said... For now, Amazon is only accelerating its push into generative AI, telling CNBC that "over 100,000" customers are using machine learning on AWS today. Although that's a small percentage of AWS's millions of customers, analysts say that could change.

"What we are not seeing is enterprises saying, 'Oh, wait a minute, Microsoft is so ahead in generative AI, let's just go out and let's switch our infrastructure strategies, migrate everything to Microsoft.' Dekate said. "If you're already an Amazon customer, chances are you're likely going to explore Amazon ecosystems quite extensively."

"Teams across Google are working hard to prepare the web for the migration to quantum-resistant cryptography," writes Chrome's technical program manager for security, Devon O'Brien.

"Continuing with our strategy for handling this major transition, we are updating technical standards, testing and deploying new quantum-resistant algorithms, and working with the broader ecosystem to help ensure this effort is a success." As a step down this path, Chrome will begin supporting X25519Kyber768 for establishing symmetric secrets in TLS, starting in Chrome 116, and available behind a flag in Chrome 115. This hybrid mechanism combines the output of two cryptographic algorithms to create the session key used to encrypt the bulk of the TLS connection:

X25519 — an elliptic curve algorithm widely used for key agreement in TLS today
Kyber-768 — a quantum-resistant Key Encapsulation Method, and NIST's PQC winner for general encryption

In order to identify ecosystem incompatibilities with this change, we are rolling this out to Chrome and to Google servers, over both TCP and QUIC and monitoring for possible compatibility issues. Chrome may also use this updated key agreement when connecting to third-party server operators, such as Cloudflare, as they add support. If you are a developer or administrator experiencing an issue that you believe is caused by this change, please file a bug.
The Register delves into Chrome's reasons for implementing this now: "It's believed that quantum computers that can break modern classical cryptography won't arrive for 5, 10, possibly even 50 years from now, so why is it important to start protecting traffic today?" said O'Brien. "The answer is that certain uses of cryptography are vulnerable to a type of attack called Harvest Now, Decrypt Later, in which data is collected and stored today and later decrypted once cryptanalysis improves." O'Brien says that while symmetric encryption algorithms used to defend data traveling on networks are considered safe from quantum cryptanalysis, the way the keys get negotiated is not. By adding support for a hybrid KEM, Chrome should provide a stronger defense against future quantum attacks...

Rebecca Krauthamer, co-founder and chief product officer at QuSecure, told The Register in an email that while this technology sounds futuristic, it's useful and necessary today... [T]he arrival of capable quantum computers should not be thought of as a specific, looming date, but as something that will arrive without warning. "There was no press release when the team at Bletchley Park cracked the Enigma code, either," she said.

A UCLA-led study of NASA's DART mission found that the collision launched a cloud of boulders from its surface. "The boulder swarm is like a cloud of shrapnel expanding from a hand grenade," said Jewitt, lead author of the study and a UCLA professor of earth and planetary sciences. "Because those big boulders basically share the speed of the targeted asteroid, they're capable of doing their own damage." From a news release: In September 2022, NASA deliberately slammed a spacecraft into the asteroid Dimorphos to knock it slightly off course. NASA's objective was to evaluate whether the strategy could be used to protect Earth in the event that an asteroid was headed toward our planet. Jewitt said that given the high speed of a typical impact, a 15-foot boulder hitting Earth would deliver as much energy as the atomic bomb that was dropped on Hiroshima. Fortunately, neither Dimorphos nor the boulder swarm have ever posed any danger to Earth. NASA chose Dimorphos because it was about 6 million miles from Earth and measured just 581 feet across -- close enough to be of interest and small enough, engineers reasoned, that the half-ton Double Asteroid Redirection Test, or DART, planetary defense spacecraft would be able to change the asteroid's trajectory.

When it hurtled into Dimorphos at 13,000 miles per hour, DART slowed Dimorphos' orbit around its twin asteroid, Didymos, by a few millimeters per second. But, according to images taken by NASA's Hubble Space Telescope, the collision also shook off 37 boulders, each measuring from 3 to 22 feet across. None of the boulders is on a course to hit Earth, but if rubble from a future asteroid deflection were to reach our planet, Jewitt said, they'd hit at the same speed the asteroid was traveling -- fast enough to cause tremendous damage. The research, published in the Astrophysical Journal Letters, found that the rocks were likely knocked off the surface by the shock of the impact. A close-up photograph taken by DART just two seconds before the collision shows a similar number of boulders sitting on the asteroid's surface -- and of similar sizes and shapes -- to the ones that were imaged by the Hubble telescope. The boulders that the scientists studied, among the faintest objects ever seen within the solar system, are observable in detail thanks to the powerful Hubble telescope.

Alibaba Group hasn't been able to completely fulfill demand for AI training from clients because of global supply constraints, its top executive said, suggesting a shortage of critical components such as artificial intelligence chips is weighing on Chinese efforts to ramp up in the cutting-edge technology. From a report: "In the past quarter, we have received strong demand for model training and related services on cloud infrastructure, which were only partially fulfilled due to the near-term supply chain constraints globally," Chairman and Chief Executive Officer Daniel Zhang, who steps down in September, told analysts on a conference call. He will focus on Alibaba's cloud business full-time after ceding his dual roles to Alibaba co-founders Joseph Tsai and Eddie Wu. A shortage of high-powered semiconductors is undermining Chinese efforts to keep pace with the US in AI. Washington has banned Chinese firms from buying the most advanced chips made by Nvidia, impeding attempts to build rivals to OpenAI's ChatGPT.

An anonymous reader quotes a report from BleepingComputer: Open source project Moq (pronounced "Mock") has drawn sharp criticism for quietly including a controversial dependency in its latest release. Distributed on the NuGet software registry, Moq sees over 100,000 downloads on any given day, and has been downloaded over 476 million times over the course of its lifetime. [...] Last week, one of Moq's owners, Daniel Cazzulino (kzu), who also maintains the SponsorLink project, added SponsorLink to Moq versions 4.20.0 and above. This move sent shock waves across the open source ecosystem largely for two reasons -- while Cazzulino has every right to change his project Moq, he did not notify the user base prior to bundling the dependency, and SponsorLink DLLs contain obfuscated code, making it is hard to reverse engineer, and not quite "open source."

"It seems that starting from version 4.20, SponsorLink is included," Germany-based software developer Georg Dangl reported referring to Moq's 4.20.0 release. "This is a closed-source project, provided as a DLL with obfuscated code, which seems to at least scan local data (git config?) and sends the hashed email of the current developer to a cloud service." The scanning capability is part of the .NET analyzer tool that runs during the build process, and is hard to disable, warns Dangl. "I can understand the reasoning behind it, but this is honestly pretty scary from a privacy standpoint."

SponsorLink describes itself as a means to integrate GitHub Sponsors into your libraries so that "users can be properly linked to their sponsorship to unlock features or simply get the recognition they deserve for supporting your project." GitHub user Mike (d0pare) decompiled the DLLs, and shared a rough reconstruction of the source code. The library, according to the analyst, "spawns external git process to get your email." It then calculates a SHA-256 hash of the email addresses and sends it to SponsorLink's CDN: hxxps://cdn.devlooped[.]com/sponsorlink. "Honestly Microsoft should blacklist this package working with the NuGet providers," writes Austin-based developer Travis Taylor. "The author can't be trusted. This was an incredibly stupid move that's just created a ton of work for lots of people." Following the backlash, Cazzulino updated the SponsorLink project's README with a lengthy "Privacy Considerations" section that clarifies that no actual email addresses, just their hashes, are being collected.

Researchers are now waking up to another factor why so many places on earth are getting warmer, one that could be filed under the category of unintended consequences: disappearing clouds known as ship tracks. From a report: Regulations imposed in 2020 by the United Nations's International Maritime Organization (IMO) have cut ships' sulfur pollution by more than 80% and improved air quality worldwide. The reduction has also lessened the effect of sulfate particles in seeding and brightening the distinctive low-lying, reflective clouds that follow in the wake of ships and help cool the planet. The 2020 IMO rule "is a big natural experiment," says Duncan Watson-Parris, an atmospheric physicist at the Scripps Institution of Oceanography. "We're changing the clouds."

By dramatically reducing the number of ship tracks, the planet has warmed up faster, several new studies have found. That trend is magnified in the Atlantic, where maritime traffic is particularly dense. In the shipping corridors, the increased light represents a 50% boost to the warming effect of human carbon emissions. It's as if the world suddenly lost the cooling effect from a fairly large volcanic eruption each year, says Michael Diamond, an atmospheric scientist at Florida State University. The natural experiment created by the IMO rules is providing a rare opportunity for climate scientists to study a geoengineering scheme in action -- although it is one that is working in the wrong direction. Indeed, one such strategy to slow global warming, called marine cloud brightening, would see ships inject salt particles back into the air, to make clouds more reflective. In Diamond's view, the dramatic decline in ship tracks is clear evidence that humanity could cool off the planet significantly by brightening the clouds. "It suggests pretty strongly that if you wanted to do it on purpose, you could," he says.

An anonymous reader quotes a report from TechCrunch: Google today announced the launch of Project IDX, its foray into offering an AI-enabled browser-based development environment for building full-stack web and multiplatform apps. It currently supports frameworks like Angular, Flutter, Next.js, React, Svelte and Vue, and languages like JavaScript and Dart, with support for Python, Go and others in the works. Google did not build a new IDE (integrated development environment) when it created IDX. Instead, it is using Visual Studio Code -- Open Source as the basis of its project. This surely allowed the team to focus on the integration with Codey, Google's PaLM 2-based foundation model for programming tasks. Thanks to Codey, IDX supports smart code completion, a ChatGPT/Bard-like chatbot that can help developers with general coding questions as well as those related specifically to the code you are working on (including the ability to explain it) and the ability to add contextual code actions like "add comments."

"We spend a lot of time writing code, and recent advances in AI have created big opportunities to make that time more productive," the IDX team explains in today's announcement. "With Project IDX, we're exploring how Google's innovations in AI -- including the Codey and PaLM 2 models powering Studio Bot in Android Studio, Duet in Google Cloud and more -- can help you not only write code faster, but also write higher-quality code." As a cloud-based IDE, it's no surprise that Project IDX integrates with Google's own Firebase Hosting (and Google Cloud Functions) and allows developers to bring in existing code from the GitHub repository. Every workspace has access to a Linux-based VM (virtual machine) and, soon, embedded Android and iOS simulators right in the browser.

An anonymous reader quotes a report from Ars Technica: Microsoft has once again come under blistering criticism for the security practices of Azure and its other cloud offerings, with the CEO of security firm Tenable saying Microsoft is "grossly irresponsible" and mired in a "culture of toxic obfuscation." The comments from Amit Yoran, chairman and CEO of Tenable, come six days after Sen. Ron Wyden (D-Ore.) blasted Microsoft for what he said were "negligent cybersecurity practices" that enabled hackers backed by the Chinese government to steal hundreds of thousands of emails from cloud customers, including officials in the US Departments of State and Commerce. Microsoft has yet to provide key details about the mysterious breach, which involved the hackers obtaining an extraordinarily powerful encryption key granting access to a variety of its other cloud services. The company has taken pains ever since to obscure its infrastructure's role in the mass breach.

On Wednesday, Yoran took to LinkedIn to castigate Microsoft for failing to fix what the company said on Monday was a "critical" issue that gives hackers unauthorized access to data and apps managed by Azure AD, a Microsoft cloud offering for managing user authentication inside large organizations. Monday's disclosure said that the firm notified Microsoft of the problem in March and that Microsoft reported 16 weeks later that it had been fixed. Tenable researchers told Microsoft that the fix was incomplete. Microsoft set the date for providing a complete fix to September 28.

"To give you an idea of how bad this is, our team very quickly discovered authentication secrets to a bank," Yoran wrote. "They were so concerned about the seriousness and the ethics of the issue that we immediately notified Microsoft." He continued: "Did Microsoft quickly fix the issue that could effectively lead to the breach of multiple customers' networks and services? Of course not. They took more than 90 days to implement a partial fix -- and only for new applications loaded in the service." In response, Microsoft officials wrote: "We appreciate the collaboration with the security community to responsibly disclose product issues. We follow an extensive process involving a thorough investigation, update development for all versions of affected products, and compatibility testing among other operating systems and applications. Ultimately, developing a security update is a delicate balance between timeliness and quality, while ensuring maximized customer protection with minimized customer disruption." Microsoft went on to say that the initial fix in June "mitigated the issue for the majority of customers" and "no customer action is required."

In a separate email, Yoran responded: "It now appears that it's either fixed, or we are blocked from testing. We don't know the fix, or mitigation, so hard to say if it's truly fixed, or Microsoft put a control in place like a firewall rule or ACL to block us. When we find vulns in other products, vendors usually inform us of the fix so we can validate it effectively. With Microsoft Azure that doesn't happen, so it's a black box, which is also part of the problem. The 'just trust us' lacks credibility when you have the current track record."

For over a decade, Backblaze's quarterly reports on the annualized failure rates (AFRs) of its substantial hard disk drives inventory have offered a peek into long-term storage utilization. The company, known for its backup and cloud storage services, has now disclosed data for the second quarter of 2023, revealing a fascinating rise in AFRs. ArsTechnica: Today's blog post details data for 240,940 HDDs that Backblaze uses for data storage around the world. There are 31 different models, and Backblaze's Andy Klein, who authored the blog, estimated in an email to Ars Technica that 15 percent of the HDDs in the dataset, including some of the 4, 6, and 8TB drives, are consumer-grade. The dataset doesn't include boot drives, drives in commission for testing purposes, or drive models for which Backblaze didn't have at least 60 units. One of the biggest revelations from examining the drives from April 1, 2023, through June 30, 2023, was an increase in AFR from Q1 2023 (1.54 percent) to Q2 2023 (2.28 percent). Backblaze's Q1 dataset examined 237,278 HDDs across 30 models. Of course, that AFR increase alone isn't enough to warrant any panic.

Since quarterly AFR numbers are "volatile," Klein told Ars Technica, Backblaze further evaluates both quarter-to-quarter and lifetime trends "to see if what happened was an anomaly or something more." So, Klein started digging further by grouping the drives by capacity. This is because, as Klein explained to Ars: "A Backblaze storage vault consists of 1,200 drives of the same size, with 60 drives in 20 storage servers. If we grouped the drives strictly by age and wanted to replace just the oldest drives in a given Backblaze vault, we would only replace those drives in the vault that met the old age criteria, not all the drives. Then, a year from now, we'd do it again, and the year after that, etc. By using the average age by drive size, we can, as appropriate, replace/upgrade all of the drives in a vault at once."

Paul Voosen writes via Science: Regulations imposed in 2020 by the United Nations's International Maritime Organization (IMO) have cut ships' sulfur pollution by more than 80% and improved air quality worldwide. The reduction has also lessened the effect of sulfate particles in seeding and brightening the distinctive low-lying, reflective clouds that follow in the wake of ships and help cool the planet. The 2020 IMO rule "is a big natural experiment," says Duncan Watson-Parris, an atmospheric physicist at the Scripps Institution of Oceanography. "We're changing the clouds."

By dramatically reducing the number of ship tracks, the planet has warmed up faster, several new studies have found. That trend is magnified in the Atlantic, where maritime traffic is particularly dense. In the shipping corridors, the increased light represents a 50% boost to the warming effect of human carbon emissions. It's as if the world suddenly lost the cooling effect from a fairly large volcanic eruption each year, says Michael Diamond, an atmospheric scientist at Florida State University.

The natural experiment created by the IMO rules is providing a rare opportunity for climate scientists to study a geoengineering scheme in action -- although it is one that is working in the wrong direction. Indeed, one such strategy to slow global warming, called marine cloud brightening, would see ships inject salt particles back into the air, to make clouds more reflective. In Diamond's view, the dramatic decline in ship tracks is clear evidence that humanity could cool off the planet significantly by brightening the clouds. "It suggests pretty strongly that if you wanted to do it on purpose, you could," he says. The findings are available in a new preprint in Atmospheric Chemistry and Physics (ACP).

Long-time Slashdot reader nairnr shares a report from The Register: Cloud giant AWS will start charging customers for public IPv4 addresses from next year, claiming it is forced to do this because of the increasing scarcity of these and to encourage the use of IPv6 instead. It is now four years since we officially ran out of IPv4 ranges to allocate, and since then, those wanting a new public IPv4 address have had to rely on address ranges being recovered, either from from organizations that close down or those that return addresses they no longer require as they migrate to IPv6.

If Amazon's cloud division is to be believed, the difficulty in obtaining public IPv4 addresses has seen the cost of acquiring a single address rise by more than 300 percent over the past five years, and as we all know, the business is a little short of cash at the moment, so is having to pass these costs on to users. "This change reflects our own costs and is also intended to encourage you to be a bit more frugal with your use of public IPv4 addresses and to think about accelerating your adoption of IPv6 as a modernization and conservation measure,' writes AWS Chief Evangelist Jeff Barr, on the company news blog.

The update will come into effect on February 1, 2024, when AWS customers will see a charge of $0.005 (half a cent) per IP address per hour for all public IPv4 addresses. These charges will apparently apply whether the address is attached to a service or not, and like many AWS charges, appear inconsequential at first glance but can mount up over time if a customer is using many of them. These charges will apply to all AWS services including EC2, Relational Database Service (RDS) database instances, Elastic Kubernetes Service (EKS) nodes, and will apply across all AWS regions, the company said. However, customers will not be charged for IP addresses that they own and bring to AWS using Amazon's BYOIP feature. AWS offers a free tier for EC2, and this will include 750 hours of public IPv4 address usage per month for the first 12 months, starting from the same date the charges do.

It isn't just software companies looking to enter the generative AI fray. Dell, the PC maker, is going all in on generative AI and offering hardware to run powerful models and a new platform to help organizations get started. From a report:The company released what it calls Dell Generative AI Solutions for clients to set up access to large language models and create generative AI projects. The company will offer new hardware setups, a managed service platform, and computers to run generative AI projects faster.

Dell is known for releasing laptops and monitors, but the company also produces server racks and other enterprise hardware. While the more public face of the AI arms race is between developers of large language models like Meta, OpenAI, and Google, another group of tech companies is looking into how to cash in on the technology. From hardware providers to cloud providers, everyone believes they need an AI service to keep up as clients want to add more AI capabilities to their businesses.

Apple's Screen Time controls are failing parents. From a report: The company's cloud-based Family Sharing system is designed in part for parents to remotely schedule off-limits time and restrict apps and adult content on their children's iPhones, iPads and iPod Touch models. Trouble is, parents are finding that when they use their iPhones to set restrictions on their kids' devices, the changes don't stick. "We are aware that some users may be experiencing an issue where Screen Time settings are unexpectedly reset," an Apple spokeswoman said. "We take these reports very seriously and we have been, and will continue, making updates to improve the situation."

Downtime, found in Settings under Screen Time, is the tool parents use to define the hours each day that a kid's device is limited or completely unusable. But when they check the setting lately, they often see the times they scheduled have reverted to a previous setting, or they see no restrictions at all. This can go unnoticed for days or weeks -- and kids don't always report back when they get extra time for games and social media. Apple previously acknowledged the bug, calling it "an issue where Screen Time settings may reset or not sync across all devices." However, the company had reported the issue fixed with iOS 16.5, which came out in May. In our testing the bug persists, even with the new public beta of iOS 17.

Oxide Computer Company spent four years working toward "The power of the cloud in your data center... bringing hyperscaler agility to the mainstream enterprise." And on June 30, Oxide finally shipped its very first server rack.

Long-time Slashdot reader destinyland shares this report: It's the culmination of years of work — to fulfill a long-standing dream. In December of 2019, Oxide co-founder Jess Frazelle had written a blog post remembering conversations over the year with people who'd been running their own workloads on-premises... "Hyperscalers like Facebook, Google, and Microsoft have what I like to call 'infrastructure privilege' since they long ago decided they could build their own hardware and software to fulfill their needs better than commodity vendors. We are working to bring that same infrastructure privilege to everyone else!"

Frazelle had seen a chance to make an impact with "better integration between the hardware and software stacks, better power distribution, and better density. It's even better for the environment due to the energy consumption wins."
Oxide CTO Bryan Cantrill sees real problems in the proprietary firmware that sits between hardware and system software — so Oxide's server eliminates the BIOS and UEFI altogether, and replaces the hardware-managing baseboard management controller (or BMC) with "a proper service processor." They even wrote their own custom, all-Rust operating system (named Hubris). On the Software Engineering Daily podcast, Cantrill says "These things boot like a rocket."

And it's all open source. "Everything we do is out there for people to see and understand..." Cantrill added. On the Changelog podcast Cantrill assessed its significance. "I don't necessarily view it as a revolution in its own right, so much as it is bringing the open source revolution to firmware."

Oxide's early funders include 92-year-old Pierre Lamond (who hired Andy Grove at Fairchild Semiconductor) — and customers who supported their vision. On Software Engineering Daily's podcast Cantrill points out that "If you're going to use a lot of compute, you actually don't want to rent it — you want to own it."

Customers have asked to run OpenAI models on non-Microsoft cloud services or on their own local servers, but OpenAI has no immediate plans to offer such options, Semafor reported Wednesday, citing people familiar with the matter. From the report: That means there's one area where rivals of the ChatGPT creator have an edge: flexibility. To use OpenAI's technology, paying customers have two choices: They can go directly through OpenAI or through investment partner Microsoft, which has inked a deal to be the exclusive cloud service for OpenAI.

Microsoft will not allow OpenAI's models to be available on other cloud providers, according to a person briefed on the matter. Companies that exclusively use rivals, such as Amazon Web Services, Google Cloud or Oracle, can't be OpenAI customers. But Microsoft would allow OpenAI models to be offered "on premises" in which customers build their own servers. Creating such solutions would pose some challenges, particularly around OpenAI's intellectual property. But it is technically feasible, this person said.

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

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

The hack of Microsoft's cloud that resulted in the compromise of government emails was an example of a traditional espionage threat, a senior National Security Agency official said. From a report: Speaking at the Aspen Security Forum, Rob Joyce, the director of cybersecurity at the N.S.A., said the United States needed to protect its networks from such espionage, but that adversaries would continue to try to secretly extract information from each other. "It is China doing espionage," Mr. Joyce said. "It is what nation-states do. We have to defend against it, we need to push back against it. But that is something that happens."

The hackers took emails from senior State Department officials including Nicholas Burns, the U.S. ambassador to China. The theft of Mr. Burns's emails was earlier reported by The Wall Street Journal and confirmed by a person familiar with the matter. Daniel J. Kritenbrink, the assistant secretary of state for East Asia, also had his email hacked, a U.S. official said. The emails of Commerce Secretary Gina Raimondo were also obtained in the hack, which was discovered in June by State Department cybersecurity experts scouring user logs for unusual activity. Microsoft later determined that Chinese hackers had obtained access to email accounts a month earlier.