OpenAI CEO Sam Altman gave an hour-long interview to the "All-In" podcast (hosted by Chamath Palihapitiya, Jason Calacanis, David Sacks and David Friedberg).

And when asked about this summer's launch of the next version of ChatGPT, Altman said they hoped to "be thoughtful about how we do it, like we may release it in a different way than we've released previous models...

Altman: One of the things that we really want to do is figure out how to make more advanced technology available to free users too. I think that's a super-important part of our mission, and this idea that we build AI tools and make them super-widely available — free or, you know, not-that-expensive, whatever that is — so that people can use them to go kind of invent the future, rather than the magic AGI in the sky inventing the future, and showering it down upon us. That seems like a much better path. It seems like a more inspiring path.

I also think it's where things are actually heading. So it makes me sad that we have not figured out how to make GPT4-level technology available to free users. It's something we really want to do...

Q: It's just very expensive, I take it?

Altman: It's very expensive.
But Altman said later he's confident they'll be able to reduce cost. Altman: I don't know, like, when we get to intelligence too cheap to meter, and so fast that it feels instantaneous to us, and everything else, but I do believe we can get there for, you know, a pretty high level of intelligence. It's important to us, it's clearly important to users, and it'll unlock a lot of stuff.
Altman also thinks there's "great roles for both" open-source and closed-source models, saying "We've open-sourced some stuff, we'll open-source more stuff in the future.

"But really, our mission is to build toward AGI, and to figure out how to broadly distribute its benefits... " Altman even said later that "A huge part of what we try to do is put the technology in the hands of people..." Altman: The fact that we have so many people using a free version of ChatGPT that we don't — you know, we don't run ads on, we don't try to make money on it, we just put it out there because we want people to have these tools — I think has done a lot to provide a lot of value... But also to get the world really thoughtful about what's happening here. It feels to me like we just stumbled on a new fact of nature or science or whatever you want to call it... I am sure, like any other industry, I would expect there to be multiple approaches and different peoiple like different ones.
Later Altman said he was "super-excited" about the possibility of an AI tutor that could reinvent how people learn, and "doing faster and better scientific discovery... that will be a triumph."

But at some point the discussion led him to where the power of AI intersects with the concept of a universal basic income: Altman: Giving people money is not going to go solve all the problems. It is certainly not going to make people happy. But it might solve some problems, and it might give people a better horizon with which to help themselves.

Now that we see some of the ways that AI is developing, I wonder if there's better things to do than the traditional conceptualization of UBI. Like, I wonder — I wonder if the future looks something more like Universal Basic Compute than Universal Basic Income, and everybody gets like a slice of GPT-7's compute, and they can use it, they can re-sell it, they can donate it to somebody to use for cancer research. But what you get is not dollars but this like slice — you own part of the the productivity.
Altman was also asked about the "ouster" period where he was briefly fired from OpenAI — to which he gave a careful response: Altman: I think there's always been culture clashes at — look, obviously not all of those board members are my favorite people in the world. But I have serious respect for the gravity with which they treat AGI and the importance of getting AI safety right. And even if I stringently disagree with their decision-making and actions, which I do, I have never once doubted their integrity or commitment to the sort of shared mission of safe and beneficial AGI...

I think a lot of the world is, understandably, very afraid of AGI, or very afraid of even current AI, and very excited about it — and even more afraid, and even more excited about where it's going. And we wrestle with that, but I think it is unavoidable that this is going to happen. I also think it's going to be tremendously beneficial. But we do have to navigate how to get there in a reasonable way. And, like a lot of stuff is going to change. And change is pretty uncomfortable for people. So there's a lot of pieces that we've got to get right...

I really care about AGI and think this is like the most interesting work in the world.

Red Hat Enterprise Linux 9.4 has been released. But also released is Rocky Linux 9.4, reports 9to5Linux: Rocky Linux 9.4 also adds openSUSE's KIWI next-generation appliance builder as a new image build workflow and process for building images that are feature complete with the old images... Under the hood, Rocky Linux 9.4 includes the same updated components from the upstream Red Hat Enterprise Linux 9.4
This week also saw the release of Alma Linux 9.4 stable (the "forever-free enterprise Linux distribution... binary compatible with RHEL.") The Register points out that while Alma Linux is "still supporting some aging hardware that the official RHEL 9.4 drops, what's new is largely the same in them both."

And last week also saw the launch of the AlmaLinux High-Performance Computing and AI Special Interest Group (SIG). HPCWire reports: "AlmaLinux's status as a community-driven enterprise Linux holds incredible promise for the future of HPC and AI," said Hayden Barnes, SIG leader and Senior Open Source Community Manager for AI Software at HPE. "Its transparency and stability empowers researchers, developers and organizations to collaborate, customize and optimize their computing environments, fostering a culture of innovation and accelerating breakthroughs in scientific research and cutting-edge AI/ML."
And this week, InfoWorld reported: Red Hat has launched Red Hat Enterprise Linux AI (RHEL AI), described as a foundation model platform that allows users to more seamlessly develop and deploy generative AI models. Announced May 7 and available now as a developer preview, RHEL AI includes the Granite family of open-source large language models (LLMs) from IBM, InstructLab model alignment tools based on the LAB (Large-Scale Alignment for Chatbots) methodology, and a community-driven approach to model development through the InstructLab project, Red Hat said.

SiliconANGLE looks at how starting in 2021, Microsoft and Red Hat have formed "an unlikely partnership set to reshape the landscape of cloud computing..." First, their collective open-source capabilities will lead to co-developed solutions to simplify the modernization and migration of Red Hat technologies to the cloud, seamlessly integrating them with Microsoft's Azure platform, according to João Couto, EMEA VP and COO of cloud commercial solutions at Microsoft. "We have acquired GitHub, which is also one of the largest repositories of open source worldwide," he said. "In that context, it makes a lot of sense to work together with Red Hat."
Transcribed from their interview: What we have been doing so far is making sure that we are co-developing solutions together with Red Hat. And making these solutions available to our customers — making it easy for customers to transform, to modernize [their] Red Hat technology running on-prem, and moving them into cloud using our own Microsoft cloud technology, but Red Hat solutions, in a very, very seamless, integrated way. And also leveraging all the entire portfolio of Red Hat automation tools, so that they can make it easier for customers not just to do the migration, but also to do management, run the operation, and all the troubleshooting also from the customer-care perspective. So that's basically an end-to-end partnership approach that we are taking...

"[Customers] get an integrated support experience from Red Hat technical teams and Microsoft technical teams. And this means that these two technical teams are often colocated, so whenever a customer has a challenge, they are being answered by Microsoft and Red Hat technical teams, all working together to solve this challenge from the customer. So this brings also an increased level of confidence to customers to move to cloud...

"We have both engineering teams from both sides working together to achieve this level of integration between the two solutions. So when you talk about Red Hat Enterprise Linux or when you have the Azure Red Hat OpenShift, which is a new solution that we have recently launched — these are solutions that using open source, are bringing in an additional level of integration, flexibility, automation to customers. So that they can migrate, and manage, their solutions in a more seamless way, and in a more easy way. So we are embedding this kind of overlying partnership from an open source perspective to bring these innovations live to customers."

The Biden administration is poised to open up a new front in its effort to safeguard U.S. AI from China with preliminary plans to place guardrails around the most advanced AI models, the core software of artificial intelligence systems like ChatGPT, Reuters reported Wednesday. From the report: The Commerce Department is considering a new regulatory push to restrict the export of proprietary or closed source AI models, whose software and the data it is trained on are kept under wraps, three people familiar with the matter said. Any action would complement a series of measures put in place over the last two years to block the export of sophisticated AI chips to China in an effort to slow Beijing's development of the cutting edge technology for military purposes. Even so, it will be hard for regulators to keep pace with the industry's fast-moving developments.

Currently, nothing is stopping U.S. AI giants like Microsoft-backed OpenAI, Alphabet's Google DeepMind and rival Anthropic, which have developed some of the most powerful closed source AI models, from selling them to almost anyone in the world without government oversight. Government and private sector researchers worry U.S. adversaries could use the models, which mine vast amounts of text and images to summarize information and generate content, to wage aggressive cyber attacks or even create potent biological weapons. To develop an export control on AI models, the sources said the U.S. may turn to a threshold contained in an AI executive order issued last October that is based on the amount of computing power it takes to train a model. When that level is reached, a developer must report its AI model development plans and provide test results to the Commerce Department.

An anonymous reader quotes a report from 404 Media: Pokemon Go players are creating a headache for members of the open source map tool OpenStreetMaps by adding fake beaches where they don't exist in hopes of more easily catching Wigletts, a Pokemon that only spawns on beaches. OpenStreetMaps is a free, open source map tool much like Google or Apple maps, but is maintained by a self-governing community of volunteers where anyone is welcome to contribute. An April 27 thread in the OpenStreetMap community forum first spotted the issue, flagging two users in Italy who began marking beaches in all sorts of locations where they don't actually exist.

The OpenStreetMap user who noticed the fictitious beaches immediately connected the dots: Pokemon Go, the mega popular mobile game where players catch Pokemon and can engage in different activities depending on their geolocation, introduced different "biomes" like beach, city, forest, and mountains. Each of these have a different look, and critically, some specific Pokemon will only spawn at specific biomes. Wiglett, for example, only spawns at beaches. Some video game sites quickly noticed that Pokemon Go's beaches were appearing in real world locations like golf courses, sports fields, and other places that are not real beaches. Pokemon Go uses OpenStreetMap for its map data, and is how the game knows players are near certain points of interest.

The OpenStreetMap user created a filter of OpenStreetMap that surfaced instances where "new mappers" added beaches to the map, revealing a number of clearly fake submissions. [...] It's not clear how often Pokemon Go updates the game with data from OpenStreetMaps, but in theory the people who are manipulating the data would have easier access to the beach biome the next time it does. The OpenStreetMap thread goes on to identify one repeat offender who added dozens of fake beaches. Some are near bodies of water, like lakes, rivers, or docks, and others are landlocked schools, parking lots, and random strips of land. If there was any doubt that some of these changes are being made by Pokemon Go players, the same repeat offender also marked the map with his handle, as well as a poke ball.

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

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

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

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

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

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

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

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

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

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

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

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

The blog Its FOSS has 15,000 followers for its Mastodon account — which they think is causing problems: When you share a link on Mastodon, a link preview is generated for it, right? With Mastodon being a federated platform (a part of the Fediverse), the request to generate a link preview is not generated by just one Mastodon instance. There are many instances connected to it who also initiate requests for the content almost immediately. And, this "fediverse effect" increases the load on the website's server in a big way.

Sure, some websites may not get overwhelmed with the requests, but Mastodon does generate numerous hits, increasing the load on the server. Especially, if the link reaches a profile with more followers (and a broader network of instances)... We tried it on our Mastodon profile, and every time we shared a link, we were able to successfully make our website unresponsive or slow to load.
Slashdot reader nunojsilva is skeptical that "blurbs with a thumbnail and description" could create the issue (rather than, say, poorly-optimized web content). But the It's Foss blog says they found three GitHub issues about the same problem — one from 2017, and two more from 2023. And other blogs also reported the same issue over a year ago — including software developer Michael Nordmeyer and legendary Netscape programmer Jamie Zawinski.

And back in 2022, security engineer Chris Partridge wrote: [A] single roughly ~3KB POST to Mastodon caused servers to pull a bit of HTML and... an image. In total, 114.7 MB of data was requested from my site in just under five minutes — making for a traffic amplification of 36704:1. [Not counting the image.]
Its Foss reports Mastodon's official position that the issue has been "moved as a milestone for a future 4.4.0 release. As things stand now, the 4.4.0 release could take a year or more (who knows?)."

They also state their opinion that the issue "should have been prioritized for a faster fix... Don't you think as a community-powered, open-source project, it should be possible to attend to a long-standing bug, as serious as this one?"

After convincing the world to buy open source and give up the Morse Code test for ham radio licenses, Bruce Perens has a new gambit: develop a license that ensures software developers receive compensation from large corporations using their work. The new Post-Open Zero Cost License seeks to address the financial disparities in open source software use and includes provisions against using content to train AI models, aligning its enforcement with non-profit performing rights organizations like ASCAP. Here's an excerpt from an interview The Register conducted with Perens: The license is one component among several -- the paid license needs to be hammered out -- that he hopes will support his proposed Post-Open paradigm to help software developers get paid when their work gets used by large corporations. "There are two paradigms that you can use for this," he explains in an interview. "One is Spotify and the other is ASCAP, BMI, and SESAC. The difference is that Spotify is a for-profit corporation. And they have to distribute profits to their stockholders before they pay the musicians. And as a result, the musicians complain that they're not getting very much at all."

"There are two paradigms that you can use for this," he explains in an interview. "One is Spotify and the other is ASCAP, BMI, and SESAC. The difference is that Spotify is a for-profit corporation. And they have to distribute profits to their stockholders before they pay the musicians. And as a result, the musicians complain that they're not getting very much at all." Perens wants his new license -- intended to complement open source licensing rather than replace it -- to be administered by a 501(c)(6) non-profit. This entity would handle payments to developers. He points to the music performing rights organizations as a template, although among ASCAP, BMI, SECAC, and GMR, only ASCAP remains non-profit. [...]

The basic idea is companies making more than $5 million annually by using Post-Open software in a paid-for product would be required to pay 1 percent of their revenue back to this administrative organization, which would distribute the funds to the maintainers of the participating open source project(s). That would cover all Post-Open software used by the organization. "The license that I have written is long -- about as long as the Affero GPL 3, which is now 17 years old, and had to deal with a lot more problems than the early licenses," Perens explains. "So, at least my license isn't excessively long. It handles all of the abuses of developers that I'm conscious of, including things I was involved in directly like Open Source Security v. Perens, and Jacobsen v. Katzer."

"It also makes compliance easier for companies than it is today, and probably cheaper even if they do have to pay. It creates an entity that can sue infringers on behalf of any developer and gets the funding to do it, but I'm planning the infringement process to forgive companies that admit the problem and cure the infringement, so most won't ever go to court. It requires more infrastructure than open source developers are used to. There's a central organization for Post-Open (or it could be three organizations if we divided all of the purposes: apportioning money to developers, running licensing, and enforcing compliance), and an outside CPA firm, and all of that has to be structured so that developers can trust it." You can read the full interview here.

Maciej Pocwierz, a senior software engineer Semantive, writing on Medium: A few weeks ago, I began working on the PoC of a document indexing system for my client. I created a single S3 bucket in the eu-west-1 region and uploaded some files there for testing. Two days later, I checked my AWS billing page, primarily to make sure that what I was doing was well within the free-tier limits. Apparently, it wasn't. My bill was over $1,300, with the billing console showing nearly 100,000,000 S3 PUT requests executed within just one day! By default, AWS doesn't log requests executed against your S3 buckets. However, such logs can be enabled using AWS CloudTrail or S3 Server Access Logging. After enabling CloudTrail logs, I immediately observed thousands of write requests originating from multiple accounts or entirely outside of AWS.

Was it some kind of DDoS-like attack against my account? Against AWS? As it turns out, one of the popular open-source tools had a default configuration to store their backups in S3. And, as a placeholder for a bucket name, they used... the same name that I used for my bucket. This meant that every deployment of this tool with default configuration values attempted to store its backups in my S3 bucket! So, a horde of misconfigured systems is attempting to store their data in my private S3 bucket. But why should I be the one paying for this mistake? Here's why: S3 charges you for unauthorized incoming requests. This was confirmed in my exchange with AWS support. As they wrote: "Yes, S3 charges for unauthorized requests (4xx) as well[1]. That's expected behavior." So, if I were to open my terminal now and type: aws s3 cp ./file.txt s3://your-bucket-name/random_key. I would receive an AccessDenied error, but you would be the one to pay for that request. And I don't even need an AWS account to do so.

Another question was bugging me: why was over half of my bill coming from the us-east-1 region? I didn't have a single bucket there! The answer to that is that the S3 requests without a specified region default to us-east-1 and are redirected as needed. And the bucket's owner pays extra for that redirected request. The security aspect: We now understand why my S3 bucket was bombarded with millions of requests and why I ended up with a huge S3 bill. At that point, I had one more idea I wanted to explore. If all those misconfigured systems were attempting to back up their data into my S3 bucket, why not just let them do so? I opened my bucket for public writes and collected over 10GB of data within less than 30 seconds. Of course, I can't disclose whose data it was. But it left me amazed at how an innocent configuration oversight could lead to a dangerous data leak! Lesson 1: Anyone who knows the name of any of your S3 buckets can ramp up your AWS bill as they like. Other than deleting the bucket, there's nothing you can do to prevent it. You can't protect your bucket with services like CloudFront or WAF when it's being accessed directly through the S3 API. Standard S3 PUT requests are priced at just $0.005 per 1,000 requests, but a single machine can easily execute thousands of such requests per second.

ReneR writes: A major T2 Linux milestone has been released, shipping with full support for 25 CPU architectures and several C libraries, as well as restored support for Intel IA-64 Itanium. Additionally, many vintage X.org DDX drivers were fixed and tested to work again, as well as complete support for the latest KDE 6 and GNOME 46.

T2 is known for its sophisticated cross compile support and support for nearly all existing CPU architectures: Alpha, Arc, ARM(64), Avr32, HPPA(64), IA64, M68k, MIPS(64), Nios2, PowerPC(64)(le), RISCV(64), s390x, SPARC(64), and SuperH x86(64). T2 is an increasingly popular choice for embedded systems and virtualization. It also still supports the Sony PS3, Sgi, Sun and HP workstations, as well as the latest ARM64 and RISCV64 architectures.

The release contains a total of 5,140 changesets, including approximately 5,314 package updates, 564 issues fixed, 317 packages or features added and 163 removed, and around 53 improvements. Usually most packages are up-to-date, including Linux 6.8, GCC 13, LLVM/Clang 18, as well as the latest version of X.org, Mesa, Firefox, Rust, KDE 6 and GNOME 46!

More information, source and binary distribution are open source and free at T2 SDE.

An anonymous reader shared a report this week from Reuters: The U.S. Department of Commerce is reviewing the national security implications of China's work in open-source RISC-V chip technology, according to a letter sent to U.S. lawmakers...

The technology is being used by major Chinese tech firms such as Alibaba Group Holding and has become a new front in the strategic competition over advanced chip technology between the U.S. and China. In November, 18 U.S. lawmakers from both houses of Congress pressed the Biden administration for its plans to prevent China "from achieving dominance in ... RISC-V technology and leveraging that dominance at the expense of U.S. national and economic security."

In a letter last week to the lawmakers that was seen by Reuters on Tuesday, the Commerce Department said it is "working to review potential risks and assess whether there are appropriate actions under Commerce authorities that could effectively address any potential concerns."

But the Commerce Department also noted that it would need to tread carefully to avoid harming U.S. companies that are part of international groups working on RISC-V technology.

1,000 petabytes.
A million terabytes.
One quintillion bytes (or 1,000,000,000,000,000,000).

That's the amount of storage reported by users of the Ceph storage solution (across more than 3,000 Ceph clusters).

The Ceph Foundation is a "directed fund" of the Linux Foundation, providing a neutral home for Ceph, "the most popular open source storage solution for modern data storage challenges" (offering an architecture that's "highly scalable, resilient, and flexible"). It's a software-defined storage platform, providing object storage, block storage, and file storage built on a common distributed cluster foundation.

And Friday they announced the release of Ceph Squid, "which comes with several performance and space efficiency features along with enhanced protocol support." Ceph has solidified its position as the cornerstone of open source data storage. The release of Ceph Squid represents a significant milestone toward providing scalable, reliable, and flexible storage solutions that meet the ever-evolving demands of digital data storage.

Features of Ceph Squid include improvements to BlueStore [a storage back end specifically designed for managing data on disk for Ceph Object Storage Daemon workloads] to reduce latency and CPU requirements for snapshot intensive workloads. BlueStore now uses RocksDB compression by default for increased average performance and reduced space usage. [And the next-generation Crimson OSD also has improvements in stability and read performance, and "now supports scrub, partial recovery and osdmap trimming."]

Ceph continues to drive the future of storage, and welcomes developers, partners, and technology enthusiasts to get involved.
Ceph Squid also brings enhancements for the CRUSH algorithm [which computes storage locations] to support more flexible and cost effective erasure coding configurations.

Microsoft releases one of the most popular versions of MS-DOS as open source today. stikves shares a post:Ten years ago, Microsoft released the source for MS-DOS 1.25 and 2.0 to the Computer History Museum, and then later republished them for reference purposes. This code holds an important place in history and is a fascinating read of an operating system that was written entirely in 8086 assembly code nearly 45 years ago.

Today, in partnership with IBM and in the spirit of open innovation, we're releasing the source code to MS-DOS 4.00 under the MIT license. There's a somewhat complex and fascinating history behind the 4.0 versions of DOS, as Microsoft partnered with IBM for portions of the code but also created a branch of DOS called Multitasking DOS that did not see a wide release.

prisoninmate shares a report from 9to5Linux: Canonical released today Ubuntu 24.04 LTS (Noble Numbat) as the latest version of its popular Linux-based operating system featuring some of the latest GNU/Linux technologies and Open Source software. Powered by Linux kernel 6.8, Ubuntu 24.04 LTS features the latest GNOME 46 desktop environment, an all-new graphical firmware update tool called Firmware Updater, Netplan 1.0 for state-of-the-art network management, updated Ubuntu font, support for the deb822 format for software sources, increased vm.max_map_count for better gaming, and Mozilla Thunderbird as a Snap by default.

It also comes with an updated Flutter-based graphical desktop installer that's now capable of updating itself and features a bunch of changes like support for accessibility features, guided (unencrypted) ZFS installations, a new option to import auto-install configurations for templated custom provisioning, as well as new default installation options, such as Default selection (previously Minimal) and Extended selection (previously Normal)."

Similar to the way Google makes its mobile OS Android open source, Meta announced it is opening up its Quest headset's operating system to rival device makers. Reuters reports: The move will allow partner companies to build their headsets using Meta Horizon OS, a rebranded operating system that brings capabilities like gesture recognition, passthrough, scene understanding and spatial anchors to the devices that run on it, the company said in a blog post. The social media company said partners Asus and Lenovo would use the operating system to build devices tailored for particular activities. Meta is also using it to make a limited edition version of the Quest headset "inspired by" Microsoft's Xbox gaming console, according to the company's statement. [...]

In a video posted on Zuckerberg's Instagram account, he previewed examples of specialized headsets partners might make: a lightweight device with sweat-wicking materials for exercise, an immersive high-resolution one for entertainment and another equipped with sensation-inducing haptics for gaming. Meta said in its blog post that ASUS' Republic of Gamers is developing a gaming headset and Lenovo is working on an MR device for productivity, learning, and entertainment using the Horizon OS. Zuckerberg said it may take a few years for these devices to launch. [...] Meta said the Meta Horizon OS includes Horizon Store, renamed from Quest Store, to download apps and experiences. The platform will work with a mobile companion app now called Meta Horizon app. While Google is reportedly working on an Android platform for VR and MR devices, Meta has called on Google to bring the Play Store to Quest, saying: "Because we don't restrict users to titles from our own app store, there are multiple ways to access great content on Meta Horizon OS, including popular gaming services like Xbox Game Pass Ultimate, or through Steam Link or our Air Link system for wirelessly streaming PC software to headsets. And we encourage the Google Play 2D app store to come to Meta Horizon OS, where it can operate with the same economic model it does on other platforms."

"Should Google bring the Play Store to Horizon OS, Meta says Google would be able to operate it on the 'same economic model' as it does on Android," notes 9to5Google. "In theory, that could actually represent a better payout for developers compared to what's been reported for Meta's store, but Meta does specifically say '2D app store,' implying VR/XR apps wouldn't be in the Play Store on Horizon OS."

Just as Google, Samsung and Microsoft continue to push their efforts with generative AI on PCs and mobile devices, Apple is moving to join the party with OpenELM, a new family of open source large language models (LLMs) that can run entirely on a single device rather than having to connect to cloud servers. From a report: Released a few hours ago on AI code community Hugging Face, OpenELM consists of small models designed to perform efficiently at text generation tasks. There are eight OpenELM models in total -- four pre-trained and four instruction-tuned -- covering different parameter sizes between 270 million and 3 billion parameters (referring to the connections between artificial neurons in an LLM, and more parameters typically denote greater performance and more capabilities, though not always).

[...] Apple is offering the weights of its OpenELM models under what it deems a "sample code license," along with different checkpoints from training, stats on how the models perform as well as instructions for pre-training, evaluation, instruction tuning and parameter-efficient fine tuning. The sample code license does not prohibit commercial usage or modification, only mandating that "if you redistribute the Apple Software in its entirety and without modifications, you must retain this notice and the following text and disclaimers in all such redistributions of the Apple Software." The company further notes that the models "are made available without any safety guarantees. Consequently, there exists the possibility of these models producing outputs that are inaccurate, harmful, biased, or objectionable in response to user prompts."

An anonymous reader quotes a report from the New York Times: Generative A.I. technologies can write poetry and computer programs or create images of teddy bears and videos of cartoon characters that look like something from a Hollywood movie. Now, new A.I. technology is generating blueprints for microscopic biological mechanisms that can edit your DNA, pointing to a future when scientists can battle illness and diseases with even greater precision and speed than they can today. Described in a research paper published on Monday by a Berkeley, Calif., startup called Profluent, the technology is based on the same methods that drive ChatGPT, the online chatbot that launched the A.I. boom after its release in 2022. The company is expected to present the paper next month at the annual meeting of the American Society of Gene and Cell Therapy. "Its OpenCRISPR-1 protein is built on a similar structure as the fabled CRISPR-Cas9 DNA snipper, but with hundreds of mutations that help reduce its off-target effects by 95%," reports Fierce Biotech, citing the company's preprint manuscript published on BioRxiv. "Profluent said it can be employed as a 'drop-in replacement' in any experiment calling for a Cas9-like molecule."

While Profluent will keep its LLM generators private, the startup says it will open-source the products of this initiative. "Attempting to edit human DNA with an AI-designed biological system was a scientific moonshot," Profluent co-founder and CEO Ali Madani, Ph.D., said in a statement. "Our success points to a future where AI precisely designs what is needed to create a range of bespoke cures for disease. To spur innovation and democratization in gene editing, with the goal of pulling this future forward, we are open-sourcing the products of this initiative."