NetBSD Bans AI-Generated Code
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Sales And Repair
1715 S. 3rd Ave. Suite #1
Yakima, WA. 98902
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Sales And Repair
1715 S. 3rd Ave. Suite #1
Yakima, WA. 98902
Mon - Fri: 8:30-5:30
Sat - Sun: Closed
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With the launch of its in-house ad tech, Netflix is poised to take full control of its advertising future. This strategic move will empower the company to create targeted and personalized ad experiences that resonate with its massive user base of 270 million subscribers. […] Netflix didn’t say exactly how its in-house solution will change the way ads are delivered, but it’s likely it’ll move away from generic advertisements. According to the Financial Times, Netflix wants to experiment with “episodic” campaigns, which involve a series of ads that tell a story rather than delivering repetitive ads. During the presentation, Netflix also noted that it’ll expand its buying capabilities this summer, which will now include The Trade Desk, Google’s Display & Video 360 and Magnite as partners. Notably, competitor Disney+ also has an advertising agreement with The Trade Desk. Netflix also touted the success of its ad-supported tier, reporting that 40 million global monthly active users opt for the plan. The ad tier had around 5 million users within six months of launching.
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The prospect of a city-conducted review was not unexpected, the University of Washington said in a statement shared with SFGATE. “In fact, the CAARE (Coastal Aerosol Research and Engagement) facility is designed to help regulators, community members and others engage with the research closely, and we consider the current interactions with the city to be an integral part of that process,” the statement reads. “We are happy to support their review and it has been a highly constructive process so far.” The marine cloud brightening (MCB) technique involves spraying fine particles of sea salt into the atmosphere from ships or specialized machines. These sea salt particles are chosen because they are a natural source of cloud-forming aerosols and can increase the number of cloud droplets, making the clouds more reflective. The particles sprayed are extremely small, about 1/1000th the width of a human hair, ensuring they remain suspended in the air and interact with cloud droplets effectively.
By reflecting more sunlight, these brightened clouds can reduce the amount of solar energy reaching the Earth’s surface, leading to localized cooling. If implemented on a large scale, this cooling effect could potentially offset some of the warming caused by greenhouse gases.
You can learn more about the experiment here.
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Some 11,000 projects totaling 2,600 GW of capacity are in planning, waiting to break ground, or connect to the grid. But they’re stymied by the need for costly upgrades, or simply waiting for review. The frustrations are many. Each proposed project undergoes a lengthy grid-impact study and assessed the cost of necessary upgrades. Each project is considered in isolation, regardless of whether similar projects are happening nearby that could share the upgrade costs or auger different improvements. The planning process tends to be reactive — examining only the applications in front of them — rather than considering trends over the coming years. It’s a first-come, first-served queue: if one project is ready to break ground, it must wait behind another project that’s still securing funding or permitting.
Two years in development, the dryly-named Improvements to Generator Interconnection Procedures and Agreements directs utility operators to plan infrastructure improvements with a 20-yr forecast of new energy sources and increased demand. Rather than examining each project in isolation, similar projects will be clustered and examined together. Instead of a First-Come, First-Served serial process, operators will instead examine First-Ready, allowing shovel-ready projects to jump the queue. The expectation is that these new rules will speed up and streamline the process of developing and connecting new energy projects through more holistic planning, penalties for delays, sensible cost-sharing for upgrades, and justification for long-term investments.
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Hassabis believes that imbuing AI models with a deeper understanding of the physical world will be key to further progress in AI, and to making systems like Project Astra more robust. Other frontiers of AI, including Google DeepMind’s work on game-playing AI programs could help, he says. Hassabis and others hope such work could be revolutionary for robotics, an area that Google is also investing in.
“A multimodal universal agent assistant is on the sort of track to artificial general intelligence,” Hassabis said in reference to a hoped-for but largely undefined future point where machines can do anything and everything that a human mind can. “This is not AGI or anything, but it’s the beginning of something.”
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As is the case with many of these AI model previews, most folks hoping to try Veo out themselves will likely have to wait a while. Google says it’s inviting select filmmakers and creators to experiment with the model to determine how it can best support creatives and will build on these collaborations to ensure “creators have a voice” in how Google’s AI technologies are developed. Some Veo features will also be made available to “select creators in the coming weeks” in a private preview inside VideoFX — you can sign up for the waitlist here for an early chance to try it out. Otherwise, Google is also planning to add some of its capabilities to YouTube Shorts “in the future.” Along with its new AI models and tools, Google said it’s expanding its AI content watermarking and detection technology. The company’s new upgraded SynthID watermark imprinting system “can now mark video that was digitally generated, as well as AI-generated text,” reports The Verge in a separate report.
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Intel says for the ISC 2024 tests, Aurora was operating with 9,234 nodes. The company notes it ranked second overall in LINPACK, meaning it’s still unable to dethrone AMD’s Frontier system, which is also an HPE supercomputer. AMD’s Frontier was the first supercomputer to break the exascale barrier in June 2022. Frontier sits at around 1.2 exaflops in Linpack, so Intel is knocking on its door but still has a way to go before it can topple it. However, Intel says Aurora came in first in the Linpack-mixed benchmark, reportedly highlighting its unparalleled AI performance. Intel’s Aurora supercomputer uses the company’s latest CPU and GPU hardware, with 21,248 Sapphire Rapids Xeon CPUs and 63,744 Ponte Vecchio GPUs. When it’s fully operational later this year, Intel believes the system will eventually be capable of crossing the 2-exaflop barrier.
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Polar, which manufactures semiconductors used primarily for the energy industry and electric vehicles, will use the funds to double its production capacity of sensor and power chips and upgrade its manufacturing kit, as well as adding 160 jobs to boot. Along with expanding production, the U.S. Department of Commerce said the funding would trigger additional private capital investment to “transform Polar from a majority foreign-owned in-house manufacturer to a majority U.S.-owned commercial foundry, expanding opportunities for U.S. chip designers to innovate and produce technologies domestically.” In other words – sure it’ll expand the output, but the real win is another majority U.S.-owned foundry for the White House to tout.
According to its website, Polar is currently owned by Korean conglomerate SK Group and serves as the primary fab and engineering center for Japanese firm Sanken Electric. Not exactly companies in countries with poor U.S. relations – but overseas owners, nonetheless. “This proposed investment in Polar will crowd in private capital, which will help make Polar a U.S.-based, independent foundry,” said U.S. Commerce secretary Gina Raimondo. “They will be able to expand their customer base and create a stable domestic supply of critical chips, made in America’s heartland.”
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