Squarespace said on Monday it has agreed to be taken private by private equity firm Permira in an all-cash deal valued at approximately $6.9 billion. Under the terms of the agreement, Squarespace stockholders will receive $44.00 per share in cash, representing a premium of about 29% over the company's 90-day volume weighted average trading price. Upon completion of the transaction, Squarespace will become a privately held company. Founder and CEO Anthony Casalena will continue to lead the business and be one of the largest shareholders following the deal. "Squarespace has been at the forefront of providing services to businesses looking to establish themselves online for more than two decades. We are excited to continue building on that foundation, and expanding our offerings, for years to come," said Casalena in a statement. "We are thrilled to be partnering with Permira on this new leg of our journey, alongside our existing long-term investors General Atlantic and Accel, who strongly believe in the future of Squarespace," he added.

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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 speaking on technology's advance, Altman said "Phones are unbelievably good.... I personally think the iPhone is like the greatest piece of technology humanity has ever made. It's really a wonderful product." Q: What comes after it? Altman: I don't know. I mean, that was what I was saying. It's so good, that to get beyond it, I think the bar is quite high. Q: You've been working with Jony Ive on something, right? Altman: We've been discussing ideas, but I don't — like, if I knew... Altman said later he thought voice interaction "feels like a different way to use a computer." But the conversation turned to Apple in another way. It happened in a larger conversation where Altman said OpenAI has "currently made the decision not to do music, and partly because exactly these questions of where you draw the lines..." Altman: Even the world in which — if we went and, let's say we paid 10,000 musicians to create a bunch of music, just to make a great training set, where the music model could learn everything about song structure and what makes a good, catchy beat and everything else, and only trained on that — let's say we could still make a great music model, which maybe we could. I was posing that as a thought experiment to musicians, and they were like, "Well, I can't object to that on any principle basis at that point — and yet there's still something I don't like about it." Now, that's not a reason not to do it, um, necessarily, but it is — did you see that ad that Apple put out... of like squishing all of human creativity down into one really iPad...? There's something about — I'm obviously hugely positive on AI — but there is something that I think is beautiful about human creativity and human artistic expression. And, you know, for an AI that just does better science, like, "Great. Bring that on." But an AI that is going to do this deeply beautiful human creative expression? I think we should figure out — it's going to happen. It's going to be a tool that will lead us to greater creative heights. But I think we should figure out how to do it in a way that preserves the spirit of what we all care about here. What about creators whose copyrighted materials are used for training data? Altman had a ready answer — but also some predictions for the future. "On fair use, I think we have a very reasonable position under the current law. But I think AI is so different that for things like art, we'll need to think about them in different ways..." Altman:I think the conversation has been historically very caught up on training data, but it will increasingly become more about what happens at inference time, as training data becomes less valuable and what the system does accessing information in context, in real-time... what happens at inference time will become more debated, and what the new economic model is there. Altman gave the example of an AI which was never trained on any Taylor Swift songs — but could still respond to a prompt requesting a song in her style. Altman: And then the question is, should that model, even if it were never trained on any Taylor Swift song whatsoever, be allowed to do that? And if so, how should Taylor get paid? So I think there's an opt-in, opt-out in that case, first of all — and then there's an economic model. Altman also wondered if there's lessons in the history and economics of music sampling...

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"One of the biggest mysteries in astrophysics today is that the forces in galaxies do not seem to add up," write two U.K. researchers in the Conversation: Galaxies rotate much faster than predicted by applying Newton's law of gravity to their visible matter, despite those laws working well everywhere in the Solar System. To prevent galaxies from flying apart, some additional gravity is needed. This is why the idea of an invisible substance called dark matter was first proposed. But nobody has ever seen the stuff. And there are no particles in the hugely successful Standard Model of particle physics that could be the dark matter — it must be something quite exotic. This has led to the rival idea that the galactic discrepancies are caused instead by a breakdown of Newton's laws. The most successful such idea is known as Milgromian dynamics or Mond [also known as modified Newtonian dynamics], proposed by Israeli physicist Mordehai Milgrom in 1982. But our recent research shows this theory is in trouble... Due to a quirk of Mond, the gravity from the rest of our galaxy should cause Saturn's orbit to deviate from the Newtonian expectation in a subtle way. This can be tested by timing radio pulses between Earth and Cassini. Since Cassini was orbiting Saturn, this helped to measure the Earth-Saturn distance and allowed us to precisely track Saturn's orbit. But Cassini did not find any anomaly of the kind expected in Mond. Newton still works well for Saturn... Another test is provided by wide binary stars — two stars that orbit a shared centre several thousand AU apart. Mond predicted that such stars should orbit around each other 20% faster than expected with Newton's laws. But one of us, Indranil Banik, recently led a very detailed study that rules out this prediction. The chance of Mond being right given these results is the same as a fair coin landing heads up 190 times in a row. Results from yet another team show that Mond also fails to explain small bodies in the distant outer Solar System... The standard dark matter model of cosmology isn't perfect, however. There are things it struggles to explain, from the universe's expansion rate to giant cosmic structures. So we may not yet have the perfect model. It seems dark matter is here to stay, but its nature may be different to what the Standard Model suggests. Or gravity may indeed be stronger than we think — but on very large scales only. "Ultimately though, Mond, as presently formulated, cannot be considered a viable alternative to dark matter any more," the researchers conclude. "We may not like it, but the dark side still holds sway."

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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.

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An anonymous reader shares a report: Japan's Ministry of Finance spent nearly $50 billion on April 29 and May 1 trying to prop up the value of the currency by selling US dollars and buying yen. Who was on the other side of this trade? Data from Deutsche Bank's foreign exchange trading platform suggests: literally everyone. "Nearly all client categories saw record USD/JPY buying during the assumed intervention days," writes George Saravelos, global head of FX research at the German bank, in a note to clients on Thursday. "That absorption of USD/JPY selling from the Japanese Ministry of Finance was so broad-based continues to point to the lack of effectiveness of this policy." The Japanese yen is the weakest G10 currency in trading on Thursday, deepening its decline relative to the US dollar to nearly 10% so far this year. Very low rates in Japan increase the appeal of holding other currencies where investors can earn more interest. Strategists have warned that action from the Bank of Japan may be needed to reinforce the Ministry of Finance's attempts to guard against further yen weakness.

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Apple has apologized for its tone-deaf "Crush!" ad that sparked a furious backlash with artists, musicians and other creators. AdAge reports that Apple said the video "missed the mark" and has scrapped plans to run the cutesy-turned-cringey commercial on TV. From a report: It's clear that Apple intended for the ad to serve as a metaphor for all the myriad creative tools one has when they throw down $1,000 or more for a new iPad Pro. Run during Tuesday's event, the video shows a series of musical instruments and other tools for human expression, including a guitar, drums, trumpet, amplifiers, record player, TV and much more. "All I Ever Need Is You" by Sonny & Cher soundtracks the clip. Soon, it's revealed that the objects are all sitting on an industrial crusher, which descends upon the scattered creative instruments, exploding in plumes of satisfyingly colorful smoke. But when the crusher pulls back up, we see that everything was transformed into a shiny new iPad Pro.

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Carl Zimmer reports via the New York Times: Ever since the discovery of whale songs almost 60 years ago, scientists have been trying to decipher their lyrics. Are the animals producing complex messages akin to human language? Or sharing simpler pieces of information, like dancing bees do? Or are they communicating something else we don't yet understand? In 2020, a team of marine biologists and computer scientists joined forces to analyze the click-clacking songs of sperm whales, the gray, block-shaped leviathans that swim in most of the world's oceans. On Tuesday, the scientists reported that the whales use a much richer set of sounds than previously known, which they called a "sperm whale phonetic alphabet." In the study published in the journal Nature Communications, researchers found that sperm whales communicate using sequences of clicks, called codas, that exhibit contextual and combinatorial structure. MIT News reports: The researchers identified something of a "sperm whale phonetic alphabet," where various elements that researchers call "rhythm," "tempo," "rubato," and "ornamentation" interplay to form a vast array of distinguishable codas. For example, the whales would systematically modulate certain aspects of their codas based on the conversational context, such as smoothly varying the duration of the calls -- rubato -- or adding extra ornamental clicks. But even more remarkably, they found that the basic building blocks of these codas could be combined in a combinatorial fashion, allowing the whales to construct a vast repertoire of distinct vocalizations. [...] By developing new visualization and data analysis techniques, the CSAIL researchers found that individual sperm whales could emit various coda patterns in long exchanges, not just repeats of the same coda. These patterns, they say, are nuanced, and include fine-grained variations that other whales also produce and recognize. "One of the intriguing aspects of our research is that it parallels the hypothetical scenario of contacting alien species. It's about understanding a species with a completely different environment and communication protocols, where their interactions are distinctly different from human norms," says Pratyusha Sharma, an MIT PhD student in EECS, CSAIL affiliate, and the study's lead author. "We're exploring how to interpret the basic units of meaning in their communication. This isn't just about teaching animals a subset of human language, but decoding a naturally evolved communication system within their unique biological and environmental constraints. Essentially, our work could lay the groundwork for deciphering how an 'alien civilization' might communicate, providing insights into creating algorithms or systems to understand entirely unfamiliar forms of communication."

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Pam Belluck reports via the New York Times: Scientists are proposing a new way of understanding the genetics of Alzheimer's that would mean that up to a fifth of patients would be considered to have a genetically caused form of the disease. Currently, the vast majority of Alzheimer's cases do not have a clearly identified cause. The new designation, proposed in a study published Monday, could broaden the scope of efforts to develop treatments, including gene therapy, and affect the design of clinical trials. It could also mean that hundreds of thousands of people in the United States alone could, if they chose, receive a diagnosis of Alzheimer's before developing any symptoms of cognitive decline, although there currently are no treatments for people at that stage. The new classification would make this type of Alzheimer's one of the most common genetic disorders in the world, medical experts said. "This reconceptualization that we're proposing affects not a small minority of people," said Dr. Juan Fortea, an author of the study and the director of the Sant Pau Memory Unit in Barcelona, Spain. "Sometimes we say that we don't know the cause of Alzheimer's disease," but, he said, this would mean that about 15 to 20 percent of cases "can be tracked back to a cause, and the cause is in the genes." The idea involves a gene variant called APOE4. Scientists have long known that inheriting one copy of the variant increases the risk of developing Alzheimer's, and that people with two copies, inherited from each parent, have vastly increased risk. The new study, published in the journal Nature Medicine, analyzed data from over 500 people with two copies of APOE4, a significantly larger pool than in previous studies. The researchers found that almost all of those patients developed the biological pathology of Alzheimer's, and the authors say that two copies of APOE4 should now be considered a cause of Alzheimer's -- not simply a risk factor. The patients also developed Alzheimer's pathology relatively young, the study found. By age 55, over 95 percent had biological markers associated with the disease. By 65, almost all had abnormal levels of a protein called amyloid that forms plaques in the brain, a hallmark of Alzheimer's. And many started developing symptoms of cognitive decline at age 65, younger than most people without the APOE4 variant.

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"Out of an abundance of caution," Boeing says its historic Starliner launch has been postponed, citing an issue with the oxygen relief valve on the Atlas V rocket's upper stage. It was expected to launch tonight at 10:34 p.m. ET. TechCrunch reports: There are backup launch opportunities on May 7, 10 and 11. After years of delays and over $1 billion in cost overruns, the mission is set to be Boeing's first attempt to transport astronauts to the International Space Station. Once the issue is resolved with the upper stage, the United Launch Alliance Atlas V will carry the CST-100 Starliner capsule to orbit along with the two onboard astronauts -- Butch Wilmore and Sunny Williams -- from Florida's Cape Canaveral at 10:34 PM local time Monday evening. The mission also marks the first time ULA's Atlas will carry crew. The rocket boasts a success rate of 100% across 99 missions. (ULA is a joint venture of Boeing and Lockheed Martin.) The astronauts would now dock at the station at the earliest on Thursday, where they would remain for at least eight days. The two astronauts will return to Earth in the capsule no earlier than May 16. If all goes to plan, Boeing will be able to finally certify its Starliner for human transportation and begin fulfilling the terms of its $4.2 billion NASA astronaut taxi contract. That contract, under the agency's Commercial Crew Program, was awarded in 2014. Elon Musk's SpaceX was also granted a contract under that program, for its Crew Dragon capsule, and has been transporting astronauts to and from the ISS since 2020.

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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.

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An anonymous reader shared this report from the Guardian: Newly deciphered passages from a papyrus scroll that was buried beneath layers of volcanic ash after the AD79 eruption of Mount Vesuvius may have shed light on the final hours of Plato, a key figure in the history of western philosophy. In a groundbreaking discovery, the ancient scroll was found to contain a previously unknown narrative detailing how the Greek philosopher spent his last evening, describing how he listened to music played on a flute by a Thracian slave girl. Despite battling a fever and being on the brink of death, Plato — who was known as a disciple of Socrates and a mentor to Aristotle, and who died in Athens around 348BC — retained enough lucidity to critique the musician for her lack of rhythm, the account suggests.... In a presentation of the research findings at the National Library of Naples, Prof Graziano Ranocchia, of the University of Pisa, who spearheaded the team responsible for unearthing the carbonised scroll, described the discovery as an "extraordinary outcome that enriches our understanding of ancient history". He said: "Thanks to the most advanced imaging diagnostic techniques, we are finally able to read and decipher new sections of texts that previously seemed inaccessible... For the first time, we have been able to read sequences of hidden letters from the papyri that were enfolded within multiple layers, stuck to each other over the centuries, through an unrolling process using a mechanical technique that disrupted whole fragments of text."

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An anonymous reader quotes a report from Ars Technica: On Sunday, word began to spread on social media about a new mystery chatbot named "gpt2-chatbot" that appeared in the LMSYS Chatbot Arena. Some people speculate that it may be a secret test version of OpenAI's upcoming GPT-4.5 or GPT-5 large language model (LLM). The paid version of ChatGPT is currently powered by GPT-4 Turbo. Currently, the new model is only available for use through the Chatbot Arena website, although in a limited way. In the site's "side-by-side" arena mode where users can purposely select the model, gpt2-chatbot has a rate limit of eight queries per day -- dramatically limiting people's ability to test it in detail. [...] On Monday evening, OpenAI CEO Sam Altman seemingly dropped a hint by tweeting, "i do have a soft spot for gpt2." [...] OpenAI's fingerprints seem to be all over the new bot. "I think it may well be an OpenAI stealth preview of something," AI researcher Simon Willison told Ars Technica. But what "gpt2" is exactly, he doesn't know. After surveying online speculation, it seems that no one apart from its creator knows precisely what the model is, either. Willison has uncovered the system prompt for the AI model, which claims it is based on GPT-4 and made by OpenAI. But as Willison noted in a tweet, that's no guarantee of provenance because "the goal of a system prompt is to influence the model to behave in certain ways, not to give it truthful information about itself."

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An anonymous reader quotes a report from Reuters: Energy ministers from the Group of Seven (G7) major democracies reached a deal to shut down their coal-fired power plants in the first half of the 2030s, in a significant step towards the transition away from fossil fuels. "There is a technical agreement, we will seal the final political deal on Tuesday," said Italian energy minister Gilberto Pichetto Fratin, who is chairing the G7 ministerial meeting in Turin. On Tuesday the ministers will issue a final communique detailing the G7 commitments to decarbonize their economies. Pichetto said the ministers were also pondering potential restrictions to Russian imports of liquefied natural gas to Europe which the European Commission is due to propose in the short-term. The agreement on coal marks a significant step in the direction indicated last year by the COP28 United Nations climate summit to phase out fossil fuels, of which coal is the most polluting. Italy last year produced 4.7% of its total electricity through a handful of coal-fired stations. Rome currently plans to turn off its plants by 2025, except on the island of Sardinia where the deadline is 2028. In Germany and Japan coal has a bigger role, with the share of electricity produced by the fuel higher than 25% of total last year. "This is another nail in the coffin for coal," said Dave Jones, Ember's Global Insights program director. "The journey to phase out coal power has been long: it's been over seven years since the UK, France, Italy, and Canada committed to phase out coal power, so it's good to see the United States and especially Japan at last be more explicit on their intentions." "The problem is that whilst coal power has already been falling, gas power has not. G7 nations already promised to 'fully or predominantly' decarbonize their power sectors by 2035, and that would mean phasing out not only coal by 2035 but also gas. Coal might be the dirtiest, but all fossil fuels need to be ultimately phased out." Further reading: Countries Consider Pact To Reduce Plastic Production By 40% in 15 Years

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An anonymous reader quotes a report published last week by Physics World: Researchers at the Dutch quantum institute QuTech in Delft have announced plans to build Europe's first 100-quantum bit (qubit) quantum computer. When complete in 2026, the device will be made publicly available, providing scientists with a tool for quantum calculations and simulations. The project is funded by the Dutch umbrella organization Quantum Delta NL via the European OpenSuperQPlus initiative, which has 28 partners from 10 countries. Part of the 10-year, 1 billion-euro European Quantum Flagship program, OpenSuperQPlus aims to build a 100-qubit superconducting quantum processor as a stepping stone to an eventual 1000-qubit European quantum computer. Quantum Delta NL says the 100-qubit quantum computer will be made publicly available via a cloud platform as an extension of the existing platform Quantum Inspire that first came online in 2020. It currently includes a two-qubit processor of spin qubits in silicon, as well as a five-qubit processor based on superconducting qubits. Quantum Inspire is currently focused on training and education but the upgrade to 100 qubits is expected to allow research into quantum computing. Lead researcher from QuTech Leonardo DiCarlo believes the R&D cycle has "come full circle," where academic research first enabled spin-off companies to grow and now their products are being used to accelerate academic research.

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U.S. authorities consider DJI a security threat. Congress is weighing legislation to ban it [non-paywalled link], prompting a lobbying campaign from the company, which dominates the commercial and consumer drone markets. The New York Times: DJI is on a Defense Department list of Chinese military companies whose products the U.S. armed forces will be prohibited from purchasing in the future. As part of the defense budget that Congress passed for this year, other federal agencies and programs are likely to be prohibited from purchasing DJI drones as well. The drones -- though not designed or authorized for combat use -- have also become ubiquitous in Russia's war against Ukraine. The Treasury and Commerce Departments have penalized DJI over the use of its drones for spying on Uyghur Muslims who are held in camps by Chinese officials in the Xinjiang region. Researchers have found that Beijing could potentially exploit vulnerabilities in an app that controls the drone to gain access to large amounts of personal information, although a U.S. official said there are currently no known vulnerabilities that have not been patched. Now Congress is weighing legislation that could kill much of DJI's commercial business in the United States by putting it on a Federal Communications Commission roster blocking it from running on the country's communications infrastructure. The bill, which has bipartisan support, has been met with a muscular lobbying campaign by DJI. The company is hoping that Americans like Mr. Nordfors who use its products will help persuade lawmakers that the United States has nothing to fear -- and much to gain -- by keeping DJI drones flying. "DJI presents an unacceptable national security risk, and it is past time that drones made by Communist China are removed from America," Representative Elise Stefanik, Republican of New York and one of the bill's primary sponsors, said in an emailed statement this month.

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An anonymous reader quotes a report from Tom's Hardware: TSMC announced its leading-edge 1.6nm-class process technology today, a new A16 manufacturing process that will be the company's first Angstrom-class production node and promises to outperform its predecessor, N2P, by a significant margin. The technology's most important innovation will be its backside power delivery network (BSPDN). Just like TSMC's 2nm-class nodes (N2, N2P, and N2X), the company's 1.6nm-class fabrication process will rely on gate-all-around (GAA) nanosheet transistors, but unlike the current and next-generation nodes, this one uses backside power delivery dubbed Super Power Rail. Transistor and BSPDN innovations enable tangible performance and efficiency improvements compared to TSMC's N2P: the new node promises an up to 10% higher clock rate at the same voltage and a 15%-20% lower power consumption at the same frequency and complexity. In addition, the new technology could enable 7%-10% higher transistor density, depending on the actual design. The most important innovation of TSMC's A16 process, which was unveiled at the company's North American Technology Symposium 2024, is the introduction of the Super Power Rail (SPR), a sophisticated backside power delivery network (BSPDN). This technology is tailored specifically for AI and HPC processors that tend to have both complex signal wiring and dense power delivery networks. Backside power delivery will be implemented into many upcoming process technologies as it allows for an increase in transistor density and improved power delivery, which affects performance. Meanwhile, there are several ways to implement a BSPDN. TSMC's Super Power Rail plugs the backside power delivery network to each transistor's source and drain using a special contact that also reduces resistance to get the maximum performance and power efficiency possible. From a production perspective, this is one of the most complex BSPDN implementations and is more complex than Intel's Power Via. Volume production of A16 is slated for the second half of 2026. "Therefore, actual A16-made products will likely debut in 2027," notes the report. "This timeline positions A16 to potentially compete with Intel's 14A node, which will be Intel's most advanced node at the time."

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Alphabet has reported first quarter results that topped analysts' estimates with soaring profits in its cloud division. It also announced its first-ever dividend. CNBC shares the results: Earnings per share: $1.89 vs. $1.51 per share expected by LSEG Revenue: $80.54 billion vs. $78.59 billion expected by LSEG Wall Street is also watching several other numbers in the report: YouTube advertising revenue: $8.09 billion vs. $7.72 billion expected, according to StreetAccount. Google Cloud revenue: $9.57 billion vs. $9.35 billion expected, according to StreetAccount. Traffic acquisition costs (TAC): $12.95 billion $12.74 billion expected, according to StreetAccount. Alphabet's revenue increased 15% from $69.79 billion a year earlier, the fastest rate of growth since early 2022. Alphabet said its board approved a cash dividend of 20 cents per share to be paid on June 17, to stockholders of record as of June 10. The company said it "intends to pay quarterly cash dividends in the future."

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Lenovo's latest ThinkPad P1 Gen 7 laptop is set to be the first to use the new LPCAMM2 memory form factor, the successor to SODIMM sticks. From a report: While Lenovo has largely focused on the AI performance of its new laptop, which is equipped with an Intel Core Ultra CPU and Nvidia RTX 3000 Ada GPU, the company also noted that its device was the first in the world to use the LPCAMM2 memory standard. LPCAMM2 uses 64 percent less space than SODIMM and 61 percent less active power, according to Lenovo. This is thanks to it being based on LPDDR5X memory instead of regular DDR5. Designed specifically for laptops, the LPCAMM2 standard actually has its origins in tech developed by Dell. Simply termed CAMM (Compression Attached Memory Module), it first debuted as a proprietary type of memory in Dell's Precision 7670 in 2022. However, in 2023 the PC giant donated its intellectual property to JEDEC, the organization that standardizes memory technologies. CAMM became LPCAMM2 (Low-Power Compression Attached Memory Module) in September 2023 when JEDEC finally confirmed its specifications. Samsung promptly announced plans to produce LPCAMM2 sticks, and claimed they would have 50 percent more performance and 70 percent more efficiency than their SODIMM-based predecessors. Plus, LPCAMM2 can offer dual-channel memory without requiring a second module.

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Andy Greenberg reports via Wired: More than two months after the start of a ransomware debacle whose impact ranks among the worst in the history of cybersecurity, the medical firm Change Healthcare finally confirmed what cybercriminals, security researchers, and Bitcoin's blockchain had already made all too clear: that it did indeed pay a ransom to the hackers who targeted the company in February. And yet, it still faces the risk of losing vast amounts of customers' sensitive medical data. In a statement sent to WIRED and other news outlets on Monday evening, Change Healthcare wrote that it paid a ransom to a cybercriminal group extorting the company, a hacker gang known as AlphV or BlackCat. "A ransom was paid as part of the company's commitment to do all it could to protect patient data from disclosure," the statement reads. The company's belated admission of that payment accompanied a new post on its website where it warns that the hackers may have stolen health-related data that would "cover a substantial proportion of people in America." Cybersecurity and cryptocurrency researchers told WIRED last month that Change Healthcare appeared to have paid that ransom on March 1, pointing to a transaction of 350 bitcoins or roughly $22 million sent into a crypto wallet associated with the AlphV hackers. That transaction was first highlighted in a message on a Russian cybercriminal forum known as RAMP, where one of AlphV's allegedly jilted partners complained that they hadn't received their cut of Change Healthcare's payment. However, for weeks following that transaction, which was publicly visible on Bitcoin's blockchain and which both security firm Recorded Future and blockchain analysis firm TRM Labs told WIRED had been received by AlphV, Change Healthcare repeatedly declined to confirm that it had paid the ransom. Change Healthcare's confirmation of that extortion payment puts new weight behind the cybersecurity industry's fears that the attack -- and the profit AlphV extracted from it -- will lead ransomware gangs to further target health care companies. "It 100 percent encourages other actors to target health care organizations," Jon DiMaggio, a researcher with cybersecurity firm Analyst1 who focuses on ransomware, told WIRED at the time the transaction was first spotted in March. "And it's one of the industries we don't want ransomware actors to target -- especially when it affects hospitals." Compounding the situation, a conflict between hackers in the ransomware ecosystem has led to a second ransomware group claiming to possess Change Healthcare's stolen data and threatening to sell it to the highest bidder on the dark web. Earlier this month that second group, known as RansomHub, sent WIRED alleged samples of the stolen data that appeared to come from Change Healthcare's network, including patient records and a contract with another health care company.

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