This week the Slackware Linux project is celebrating its 30th anniversary. It is the oldest Linux distribution that is still in active maintenance and development. The Register reports: Version 1.0 of Slackware was announced on the July 16, 1993, and project lead Patrick Volkerding, who still maintains the distribution today, celebrated with a modest announcement: “Hey folks! It’s time to acknowledge another one of those milestones… 30 (!) years since I made the post linked below announcing Slackware’s first stable release after months of beta testing. Thanks to all of our dedicated contributors, loyal users, and those who have helped us to keep the lights on here. It’s really been a remarkable journey that I couldn’t have anticipated starting out back in 1993. Cheers! :-)”

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Source: Slashdot – Slackware Linux Distribution Turns 30 Years Old

Telegram is introducing a new Stories feature that is currently only available for Premium subscribers but will be available to all users eventually. 9to5Mac reports: With Telegram Stories, users are able to share photos and videos that disappear after a while. However, Telegram is trying to do more than its competitors. For instance, users can choose whether a Story will expire after 6, 12, 24, or 48 hours. Most apps make Stories disappear after 24 hours. Telegram also lets users create lists with different contacts for each Story. This means that you can share a specific Story with your best friends and another one just for your coworkers. The interface is similar to what you find in other apps that already offer Stories, with a list of available Stories at the top of the list of chats. Also similar to the Stories feature in apps like Instagram and Snapchat, you can send reactions and reply to someone else’s Story. However, there’s a catch.

While everyone can see Telegram Stories, only those who pay for Telegram Premium can post Stories. “Posting stories is currently available only to subscribers,” a message in the app says when non-Premium users try to create a new Story. It’s uncertain whether the Stories feature will become free for everyone eventually, but the term “currently” suggests it will. According to Durov, although the Telegram team was initially against the idea of having Stories in the app, the feature was one of the most requested by its users. “Even the skeptics on our team started to appreciate this feature. We can no longer imagine Telegram without it,” he said last month.

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Source: Slashdot – Telegram Adds Stories For Premium Subscribers

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.”

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Source: Slashdot – Cerebras To Enable ‘Condor Galaxy’ Network of AI Supercomputers

The major gaming platform Roblox has suffered a major data breach, leading to the release of personal information including addresses from those who attended the Roblox Developer Conference between 2017-2020. PCGamer reports: The leak contains almost 4,000 names, phone numbers, email addresses, dates of birth, and physical addresses. Such identifying information is gold dust for bad actors, and raises serious questions about the data security of one of the largest gaming platforms around. The website haveibeenpwned says the original breach date was 18 December 2020, with the information becoming available on 18 July 2023, with a total of 3,943 compromised accounts. The site notes that as well as all the above information, the leak even includes each individual’s t-shirt size.

The implications of this for those affected are identity theft and scams, with the quantity of data especially worrying: this is basically all you need to effectively impersonate someone. Beyond the above statement, Roblox has made no further comment, and it’s likely that the ramifications of this will continue to unfold for some time, especially if anyone on the list is indeed targeted. Anyone concerned should search on haveibeenpwned and enable two-factor authentication on all accounts (as well as keeping an especially close eye on bank transactions for a while). Troy Hunt, the engineer behind haveibeenpwned, said the leak was posted in 2021 but according to an unnamed source didn’t spread outside of niche Roblox communities, while at the time the company did not publicly disclose the leak or alert anyone affected. The leak then appeared on a public forum a few days ago. “Roblox is aware of a third-party security issue where there were indications of unauthorized access to limited personal information of a subset of our creator community,” said a Roblox spokesperson to PC Gamer. “We engaged independent experts to support the investigation led by our information security team. Those who are impacted will receive an email communicating the next steps we are taking to support them. We will continue to be vigilant in monitoring and vetting the cyber security posture of Roblox and our third-party vendors.”

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Source: Slashdot – Roblox Data Leak Sees 4,000 Developer Profiles Including Identifying Information Made Public

Earlier this week, Meta announced it has teamed up with Microsoft to launch Llama 2, its “open-source” large language model (LLM) that uses artificial intelligence to generate text, images, and code. In an opinion piece for The Register, long-time ZDNet contributor and technology analyst, Steven J. Vaughan-Nichols, writes: “Meta is simply open source washing an open but ultimately proprietary LLM.” From the report: As Amanda Brock, CEO of OpenUK, said, it’s “not an OSI approved license but a significant release of Open Technology … This is a step to moving AI from the hands of the few to the many, democratizing technology and building trust in its use and future through transparency.” And for many developers, that may be enough. […] But the devil is in the details when it comes to open source. And there, Meta, with its Llama 2 Community License Agreement, falls on its face. As The Register noted earlier, the community agreement forbids the use of Llama 2 to train other language models; and if the technology is used in an app or service with more than 700 million monthly users, a special license is required from Meta. Stefano Maffulli, the OSI’s executive director, explained: “While I’m happy that Meta is pushing the bar of available access to powerful AI systems, I’m concerned about the confusion by some who celebrate LLaMa 2 as being open source: if it were, it wouldn’t have any restrictions on commercial use (points 5 and 6 of the Open Source Definition). As it is, the terms Meta has applied only allow some commercial use. The keyword is some.”

Maffulli then dove in deeper. “Open source means that developers and users are able to decide for themselves how and where to use the technology without the need to engage with another party; they have sovereignty over the technology they use. When read superficially, Llama’s license says, ‘You can’t use this if you’re Amazon, Google, Microsoft, Bytedance, Alibaba, or your startup grows as big.’ It may sound like a reasonable clause, but it also implicitly says, ‘You need to ask us for permission to create a tool that may solve world hunger’ or anything big like that.” Stephen O’Grady, open source licensing expert and RedMonk co-founder, explained it like this: “Imagine if Linux was open source unless you worked at Facebook.” Exactly. Maffulli concluded: “That’s why open source has never put restrictions on the field of use: you can’t know beforehand what can happen in the future, good or bad.”

The OSI isn’t the only open-source-savvy group that’s minding the Llama 2 license. Karen Sadler, lawyer and executive director at the Software Freedom Conservancy, dug into the license’s language and found that “the Additional Commercial Terms in section 2 of the license agreement, which is a limitation on the number of users, makes it non-free and not open source.” To Sadler, “it looks like Meta is trying to push a license that has some trappings of an open source license but, in fact, has the opposite result. Additionally, the Acceptable Use Policy, which the license requires adherence to, lists prohibited behaviors that are very expansively written and could be very subjectively applied — if you send out a mass email, could it be considered spam? If there’s reasonably critical material published, would it be considered defamatory?” Last, but far from least, she “didn’t notice any public drafting or comment process for this license, which is necessary for any serious effort to introduce a new license.”

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Source: Slashdot – ‘Meta’s Newly Released Large Language Model Llama-2 Is Not Open Source’