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Saturday, September 27th, 2025
| Time | Event |
| 1:00a | Apple Mac Adoption Is Accelerating Across US Enterprises MacStadium's inaugural CIO survey shows Apple devices gaining major ground in U.S. enterprises, with 96% of CIOs expecting Mac fleets to expand in the next two years and Macs already representing an average of 65% of enterprise endpoints. "The results show rapid Mac deployment across US business in the last two years, with 93% of CIOs claiming increased use, and 59% claiming a significant increase in use of all Apple devices," adds Computerworld. From the report: "As the adoption of Apple hardware continues to rise with both consumers and business users, and Apple Silicon is emerging as a secure and energy-efficient option for AI workloads, Apple is turning its sights to the enterprise," [MacStadium CEO Ken Tacelli] said in an interview. Among the specifics: - 93% of CIOs report increased Apple device usage over the past two years. - 45% of CIOs describe their leadership's view of Macs as a strategic investment, reflecting growing executive-level buy-in. - The top drivers for Apple adoption are security and privacy (59%), employee preference (59%), and hardware performance (54%). - Perhaps most importantly, 65% of CIOs say Macs are easier to manage than Windows or Linux devices. In addition to those factors, the unique technical capabilities of Apple's kit (53%) play a role. Businesses are buying Macs because they're cheaper to run, last longer, allow employees to be more productive, and are both more private and more secure. The survey also shows that AI has become a leading reason to choose Macs. Apple Silicon is highly performant and energy efficient, enabling Macs to run on-device, secure AI, and to access cloud-based AI services. 
Read more of this story at Slashdot. |
| 3:30a | Wind and Solar Will Power Datacenters More Cheaply Than Nuclear, Study Finds An anonymous reader quotes a report from The Register: Renewable energy sources could power datacenters at a lower cost than relying on nuclear generation from small modular reactors (SMRs), claims a recently revealed study. ... [A]nalysis from the Centre for Net Zero (CNZ) says it would cost 43 percent less to power a 120 MW data facility with renewables and a small amount of gas-generated energy, when compared with an SMR. It claims that a microgrid comprising offshore wind, solar, battery storage, and backed up by gas generation, would be significantly cheaper to run annually than procuring power sourced from a nuclear SMR. [...] CNZ describes itself as an open research institute, founded by Octopus Energy Group in the UK, and claims to advise the State of California and Europe's International Energy Agency as well as the British government. While CNZ's study applies to the UK sector, where energy costs are among the highest in the industrialized world, it is likely that the overall conclusion would still be valid in other countries as well. Its analysis shows that renewables can meet 80 percent of the constant demand from a large datacenter over the course of a year. Offshore wind can provide the majority of load requirements, with gas generation backed by battery storage as a stopgap source of power representing the most cost-optimal mix. Greater capacity in the on-site battery storage system would reduce the reliance on gas power, and this would likely happen over time as the cost of such systems is expected to come down, the report claims. But perhaps the real kicker is that CNZ estimates that microgrids powered largely by renewables could be built in approximately five years, while operational SMRs are not expected to be widely available until sometime in the next decade. CNZ says that it calculated the typical yearly resource cost (capex and opex) of powering a datacenter with a nuclear SMR, and modeled this using Python for Power System Analysis (PyPSA), an open source energy modeling tool, against two renewable energy scenarios. One was the wind, solar, battery, and gas mix, while the other omitted solar.
Read more of this story at Slashdot. |
| 10:00a | Humanoid Robots Are Meta's Next 'AR-Sized Bet' Meta is making humanoid robots its next massive "AR-sized bet," investing billions into a project led by top roboticists. The focus will be less on hardware and more on software dexterity, aiming to license its robotics platform to manufacturers much like Google licenses Android. The Verge reports: During a recent conversation at Meta's headquarters, CTO Andrew Bosworth said he stood up a robotics "research effort" earlier this year at the direction of CEO Mark Zuckerberg. The team's existence has been reported on before, but Bosworth hadn't discussed its strategy in-depth until our interview. "I don't think the hardware is the hard part," he told me ahead of Meta's recent Connect conference. "I'm not saying the hardware isn't also hard, but it's not the bottleneck. The bottleneck is the software." To demonstrate, Bosworth picked up my glass of water from a table between us. "If you know robotics, one of the biggest problems that you have is dexterous manipulation," he said. "These robots, they can stand, they can run, they can do a flip, because the ground is a super stable thing." By contrast, a robot trying to pick up the glass of water would likely "immediately crush it or spill all the water." While Meta is currently building its own humanoid, or "Metabot" as it's called internally, Bosworth envisions the company licensing its software platform to other robot manufacturers. "I don't care about us being the hardware manufacturers," he explained.
Read more of this story at Slashdot. |
| 4:34p | BYD's All-Electric Hypercar Hits 308 MPH, Becomes Fastest Car in Production Electric powertrains allow for "crazy fast acceleration figures," reports Car and Driver, as well as "huge power numbers." And now a Chinese luxury electric car brand owned by BYD Auto "just hit a top speed of 308.4 mph, making it not only the fastest electric car on the planet, but the fastest car. Period." Engadget reports that the U9 Xtreme "is packed with four motors that produce just under 3,000 horsepower. The electric hypercar also runs on one of the world's first 1,200V platforms, which offers better performance and efficiency, along with some weight reduction." And Car and Driver adds that "Other changes to achieve the speed include dropping the wheel size from 21 to 20 inches, narrowing the front track, and adding wider, semi-slick track tires at the front of the car." One small caveat that doesn't lessen the impressiveness of the feat is that while the U9 Xtreme does classify as a production model, it barely does. That's because BYD is planning to limit production of the top-speed version of the U9 to no more than 30 units. The car hit its "facemelting" top speed during a livestream at Germany's Automotive Testing Papenburg, reports Engadget. Thanks to long-time Slashdot reader hackingbear for sharing the news.
Read more of this story at Slashdot. |
| 5:34p | Hugging Face Researchers Warn AI-Generated Video Consumes Much More Power Than Expected "Researchers have found that the carbon footprint of generative AI-based tools that can turn text prompts into images and videos is far worse than we previously thought," writes Futurism: As detailed in a new paper, researchers from the open-source AI platform Hugging Face found that the energy demands of text-to-video generators quadruple when the length of a generated video doubles — indicating that the power required for increasingly sophisticated generations doesn't scale linearly. For instance, a six-second AI video clip consumes four times as much energy as a three-second clip. "These findings highlight both the structural inefficiency of current video diffusion pipelines and the urgent need for efficiency-oriented design," the researchers concluded in their paper... Fortunately, there are ways to slim down those demands, including intelligent caching, the reusing of existing AI generations, and "pruning," meaning the sifting out of inefficient examples from training datasets. The Hugging Face researchers gave their paper a cheeky title. "Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Mode."
Read more of this story at Slashdot. |
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