Two in five tech workers quit in the past year due to inflexible workplace policies around hours, location, and workload intensity, with most citing a desire for remote work and greater autonomy. The Register reports: The findings come from a survey of 26,000 plus staff that operate in 35 markets, including 2,548 respondents in tech, and fly in the face of more and more corporations issuing return to office mandates and demanding long working hours. Amsterdam-based recruitment biz Randstad, which commissioned the research, says 40 percent of the tech people it polled said they resigned due to hardline policies, and 56 percent threatened to seek an alternative if their requests for flexibility were ignored.

Almost three-quarters claim remote work boosts a “sense of community” with colleagues — versus the average of 58 percent across other sectors — and 68 percent say they’d trust their employer more if they were more easy going on hours, the intensity of the work and the place where they can work. Graig Paglieri, Randstad Digital boss, said the “IT sector has shown that personalized work benefits and flexible options are essential not only for attracting top talent but also for retaining them in competitive markets. Policies should align with organizational, team and individual needs, ensuring a flexible and tailored approach.”

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A software engineer successfully ran Meta’s Llama 2 generative AI model on a 20-year-old PowerBook G4, demonstrating how well-optimized code can push the limits of legacy hardware. MacRumors’ Joe Rossignol reports: While hardware requirements for large language models (LLMs) are typically high, this particular PowerBook G4 model from 2005 is equipped with a mere 1.5GHz PowerPC G4 processor and 1GB of RAM. Despite this 20-year-old hardware, my brother was able to achieve inference with Meta’s LLM model Llama 2 on the laptop. The experiment involved porting the open-source llama2.c project, and then accelerating performance with a PowerPC vector extension called AltiVec. His full blog post offers more technical details about the project.

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An anonymous reader quotes a report from Bloomberg: Jack Ma-backed Ant Group used Chinese-made semiconductors to develop techniques for training AI models that would cut costs by 20%, according to people familiar with the matter. Ant used domestic chips, including from affiliate Alibaba and Huawei, to train models using the so-called Mixture of Experts machine learning approach, the people said. It got results similar to those from Nvidia chips like the H800, they said, asking not to be named as the information isn’t public. Hangzhou-based Ant is still using Nvidia for AI development but is now relying mostly on alternatives including from Advanced Micro Devices and Chinese chips for its latest models, one of the people said.

The models mark Ant’s entry into a race between Chinese and US companies that’s accelerated since DeepSeek demonstrated how capable models can be trained for far less than the billions invested by OpenAI and Alphabet Inc.’s Google. It underscores how Chinese companies are trying to use local alternatives to the most advanced Nvidia semiconductors. While not the most advanced, the H800 is a relatively powerful processor and currently barred by the US from China. The company published a research paper this month that claimed its models at times outperformed Meta Platforms Inc. in certain benchmarks, which Bloomberg News hasn’t independently verified. But if they work as advertised, Ant’s platforms could mark another step forward for Chinese artificial intelligence development by slashing the cost of inferencing or supporting AI services.

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Late Saturday night, technicians at Kennedy Space Center in Florida moved the core stage for NASA’s second Space Launch System rocket into position between the vehicle’s two solid-fueled boosters.

Working inside the iconic 52-story-tall Vehicle Assembly Building, ground teams used heavy-duty cranes to first lift the butterscotch orange core stage from its cradle in the VAB’s cavernous transfer aisle, the central passageway between the building’s four rocket assembly bays. The cranes then rotated the structure vertically, allowing workers to disconnect one of the cranes connected to the bottom of the rocket.

That left the rocket hanging on a 325-ton overhead crane, which would lift it over the transom into the building’s northeast high bay. The Boeing-built core stage weighs about 94 tons (85 metric tons), measures about 212 feet (65 meters) tall, and will contain 730,000 gallons of cryogenic propellant at liftoff. It is the single largest element for NASA’s Artemis II mission, slated to ferry a crew of astronauts around the far side of the Moon as soon as next year.

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Microsoft is expanding its Security Copilot platform with six new AI agents designed to autonomously assist cybersecurity teams by handling tasks like phishing alerts, data loss incidents, and vulnerability monitoring. There are also five third-party AI agents created by its partners, including OneTrust and Tanium. The Verge reports: Microsoft’s six security agents will be available in preview next month, and are designed to do things like triage and process phishing and data loss alerts, prioritize critical incidents, and monitor for vulnerabilities. “The six Microsoft Security Copilot agents enable teams to autonomously handle high-volume security and IT tasks while seamlessly integrating with Microsoft Security solutions,” says Vasu Jakkal, corporate vice president of Microsoft Security.

Microsoft is also working with OneTrust, Aviatrix, BlueVoyant, Tanium, and Fletch to enable some third-party security agents. These extensions will make it easier to analyze data breaches with OneTrust or perform root cause analysis of network outages and failures with Aviatrix. […] While these latest AI agents in the Security Copilot are designed for security teams to take advantage of, Microsoft is also improving its phishing protection in Microsoft Teams. Microsoft Defender for Office 365 will start protecting Teams users against phishing and other cyberthreats within Teams next month, including better protection against malicious URLs and attachments.

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The H5N1 bird flu has spilled over to a sheep for the first time, infecting a domesticated ruminant in the United Kingdom much like it has in US dairy cows, according to UK officials.

The single sheep—a ewe—in Yorkshire, England, was confirmed infected after captive birds on the same property had tested positive for the virus, according to an announcement Monday. The ewe’s milk was found to be positive for the virus through a PCR test, which detected genetic signatures of the virus. The ewe also had H5 antibodies in its blood. At the time of the confirmation, the ewe had symptoms of the infection in the way of mastitis, inflammation of the mammary glands.

This mirrors what US dairy farmers have been seeing in cows. An outbreak of H5N1 in dairy cows erupted a year ago, on March 25, 2024. Since then, at least 989 herds across 17 states have been infected with bird flu. In previous reports, farmers and researchers have noted that the virus appears to attack the animal’s mammary glands and their milk is teeming with the virus.

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Netflix has announced that it’s adding support for HDR10+ streaming, on top of the existing HDR10 and Dolby Vision formats that are already offered on the streaming service. HDR10+ should offer greater visual fidelity on a per-frame basis for Netflix’s frequently dark original programming.

The company is enabling HDR10+ with the AV1 codec, the specification originally released in 2018 that’s gradually become the standard for streaming 4K video without gobbling data. Netflix first adopted AV1 as a way to help customers save data while watching on their phone, but the compression tech works just as well for streaming large HDR files. Netflix is enabling HDR10+ on select popular titles now, and hopes to eventually offer all HDR content in the new format. Anyone with a Netflix Premium subscription and a device that supports both HDR10+ and AV1 (which includes most modern mobile phones and tablets) should be able to watch compatible content in HDR10+.

After 4K, high dynamic range (HDR) has come to define the look of modern TV and movies, particularly on streaming. HDR content makes clear the stark differences between the light and dark parts of an image. The under-exposed, muddy quality of modern streaming TV is frequently due to an expectation that audiences will be viewing on a device that supports HDR. Without it, you can’t see anything. With it, you can pick up all the various shades of gray that have become the norm in prestige TV. 

Netflix first rolled out support for HDR in 2016 with the debut of Marco Polo, and in the years since, has made supporting Dolby Vision and HDR10, the most common HDR format, the norm on its service. If you’ve been watching Netflix on a display that already uses Dolby Vision, you likely won’t notice a difference, but if you’re TV only offers HDR10+, adding support for the format should make watching everything a little bit better.

This article originally appeared on Engadget at https://www.engadget.com/entertainment/streaming/netflix-will-stream-shows-and-movies-in-hdr10-on-supported-devices-222134243.html?src=rss

An anonymous reader shares a Bloomberg column: Worries over China’s “3D” problem — that deflation, debt and demographics are structurally hampering growth — are melting away. Instead, investors are talking about how the world’s second-largest economy can take on the US and challenge its technological dominance. There is the prevailing sense that China’s “engineer dividend” is finally paying off. Between 2000 and 2020, the number of engineers has ballooned from 5.2 million to 17.7 million, according to the State Council. That reservoir can help the nation move up the production possibility frontier, the thinking goes.

In a way, DeepSeek shouldn’t have come as a surprise. Size matters. A bigger talent pool alone gives China a better chance to disrupt. In 2022, 47% of the world’s top 20th percentile AI researchers finished their undergraduate studies in China, well above the 18% share from the US, according to data from the Paulson Institute’s in-house think tank, MacroPolo. Last year, the Asian nation ranked third in the number of innovation indicators compiled by the World Intellectual Property Organization, after Singapore and the US. What this also means is that innovative breakthroughs can pop out of nowhere. […]

More importantly, China’s got the cost advantage. Those under the age of 30 account for 44% of the total engineering pool, versus 20% in the US, according to data compiled by Kaiyuan Securities. As a result, compensation for researchers is only about one-eighth of that in the US. Credit must be given to President Xi Jinping for his focus on higher education as he seeks to upgrade China’s value chain. These days, roughly 40% of high-school graduates go to universities, versus 10% in 2000. Meanwhile, engineering is one of the most popular majors for post-graduate studies. It’s a welcome reprieve for a government that has been struggling with a shrinking population.

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On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that “deep learning” could achieve things conventional AI techniques could not.

Deep learning, which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted rules and features.

The Python code, now available on CHM’s GitHub page as open source software, offers AI enthusiasts and researchers a glimpse into a key moment of computing history. AlexNet served as a watershed moment in AI because it could accurately identify objects in photographs with unprecedented accuracy—correctly classifying images into one of 1,000 categories like “strawberry,” “school bus,” or “golden retriever” with significantly fewer errors than previous systems.

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FaunaDB, a serverless database combining relational and document features, will shut down by the end of May due to unsustainable capital demands. The company plans to open source its core technology, including its FQL query language, in hopes of continuing its legacy within the developer community. The Register reports: The startup pocketed $27 million in VC funding in 2020 and boasted that 25,000 developers worldwide were using its serverless database. However, last week, FaunaDB announced that it would sunset its database services. FaunaDB said it plans to release an open-source version of its core database technology. The system stores data in JSON documents but retains relational features like consistency, support for joins and foreign keys, and full schema enforcement. Fauna’s query language, FQL, will also be made available to the open-source community. “Driving broad based adoption of a new operational database that runs as a service globally is very capital intensive. In the current market environment, our board and investors have determined that it is not possible to raise the capital needed to achieve that goal independently,” the leadership team said.

“While we will no longer be accepting new customers, existing Fauna customers will experience no immediate change. We will gradually transition customers off Fauna and are committed to ensuring a smooth process over the next several months,” it added.

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A good VPN works like a bouncer for your internet traffic, keeping snoops out while letting you move freely. AdGuard VPN is one of those solid, no-nonsense choices that does exactly what it promises. Right now, StackSocial is offering a five-year AdGuard VPN subscription for just $39.97, a steep drop from its regular price. That’s five years of private browsing, streaming, and secure connections across most major platforms, including Windows, macOS, iOS, and Android, and up to 10 simultaneous connections (making it great for multi-device users without juggling logins). If you like the idea of browsing without trackers and being able to access geo-restricted content without hassle, this deal makes sense. Just a heads-up, though—this offer is only for new users, and you’ll need to redeem it within 30 days of buying.

Performance-wise, AdGuard VPN uses AES-256 and its proprietary protocol, which is supposed to be faster and harder to detect than the usual VPN options. That means fewer annoying speed drops, which is a win if you stream a lot or hate buffering. It also offers over 60 server locations, covering key regions without overwhelming you with choices, so finding a decent connection shouldn’t be an issue. More importantly, AdGuard sticks to a strict no-logs policy, meaning it won’t track your browsing or sell your data to advertisers, unlike some other VPNs.

AdGuard VPN is best suited for anyone looking for a low-maintenance, long-term privacy solution without monthly bills. It’s easy to set up, has a clean interface, and works well for everyday browsing and security. Five years of coverage for under forty bucks is hard to beat, and if you don’t like it, at least you won’t be locked into another high-priced subscription.

It is an immutable law of nature that when you receive a corporate email with a subject line like “Changes coming to your Pixel 4a,” the changes won’t be the sort you like. Indeed, a more honest subject line would usually be: “You’re about to get hosed.”

So I wasn’t surprised, as I read further into this January missive from Google, that an “upcoming software update for your Pixel 4a” would “affect the overall performance and stability of its battery.”

How would my battery be affected? Negatively, of course. “This update will reduce your battery’s runtime and charging performance,” the email said. “To address this, we’re providing some options to consider. “

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An anonymous reader quotes a report from 404 Media: 23andMe filed for Chapter 11 bankruptcy Sunday, leaving the fate of millions of people’s genetic information up in the air as the company deals with the legal and financial fallout of not properly protecting that genetic information in the first place. The filing shows how dangerous it is to provide your DNA directly to a large, for-profit commercial genetic database; 23andMe is now looking for a buyer to pull it out of bankruptcy. 23andMe said in court documents viewed by 404 Media that since hackers obtained personal data about seven million of its customers in October 2023, including, in some cases “health-related information based upon the user’s genetics,” it has faced “over 50 class action and state court lawsuits,” and that “approximately 35,000 claimants have initiated, filed, or threatened to commence arbitration claims against the company.” It is seeking bankruptcy protection in part to simplify the fallout of these legal cases, and because it believes it may not have money to pay for the potential damages associated with these cases.

CEO and cofounder Anne Wojcicki announced she is leaving the company as part of this process. The company has the genetic data of more than 15 million customers. According to its Chapter 11 filing, 23andMe owes money to a host of pharmaceutical companies, pharmacies, artificial intelligence companies (including a company called Aganitha AI and Coreweave), as well as health insurance companies and marketing companies. Shortly before the filing, California Attorney General Rob Bonta issued an “urgent” alert to 23andMe customers: “Given 23andMe’s reported financial distress, I remind Californians to consider invoking their rights and directing 23andMe to delete their data and destroy any samples of genetic material held by the company.”

In a letter to customers Sunday, 23andMe said: “Your data remains protected. The Chapter 11 filing does not change how we store, manage, or protect customer data. Our users’ privacy and data are important considerations in any transaction, and we remain committed to our users’ privacy and to being transparent with our customers about how their data is managed.” It added that any buyer will have to “comply with applicable law with respect to the treatment of customer data.”

404 Media’s Jason Koebler notes that “there’s no way of knowing who is going to buy it, why they will be interested, and what will become of its millions of customers’ DNA sequences. 23andMe has claimed over the years that it strongly resists law enforcement requests for information and that it takes customer security seriously. But the company has in recent years changed its terms of service, partnered with big pharmaceutical companies, and, of course, was hacked.”

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A prominent journalist knew the US military would start bombing Houthi targets in Yemen two hours before it happened on March 15 because top Trump administration officials accidentally included the reporter on a Signal text chain in which they discussed the war plan.

Jeffrey Goldberg, editor-in-chief of The Atlantic magazine, described the surprising leak of sensitive military information in an article today. The National Security Council confirmed that the messages were real and said it is investigating how Goldberg was added to a thread in which the war information was discussed.

“The world found out shortly before 2 p.m. eastern time on March 15 that the United States was bombing Houthi targets across Yemen,” Goldberg wrote. “I, however, knew two hours before the first bombs exploded that the attack might be coming. The reason I knew this is that Pete Hegseth, the secretary of defense, had texted me the war plan at 11:44 a.m. The plan included precise information about weapons packages, targets, and timing.”

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