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 Apple sent emails to its music industry partners about the upcoming launch of a Made With AI label that Apple will apply to AI-generated content (via The Hollywood Reporter).
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The psychiatrist directs the longest study of human life. Here's what he's learned about the importance of social connection.
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NEW RESOURCES Arkansas Department of Agriculture: Arkansas Department of Agriculture Launches New Active Wildfire Dashboard. "Arkansans can now see where wildfires are burning and how the state is responding, as it happens. […]
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 We're likely about a month away from when Apple will launch new iPhone models, and color has been a major topic of discussion. There's going to be a dramatic new color for the iPhone 18 Pro and ?iPhone 18 Pro? Max, but Apple plans to play it safe with the foldable iPhone.
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 In iOS 27, new Shared Albums you create in the Photos app retain full-resolution quality for the first time, but they now eat into your iCloud storage - and that includes any items added by other people invited to contribute.
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A fast-growing surveillance drone network won't help Flock's public image.
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 In May 2025, Apple launched CarPlay Ultra, the long-awaited next-generation version of CarPlay that it first previewed in 2022. More than a year later, however, CarPlay Ultra is still limited to select Aston Martin vehicles with six-figure price tags.
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The Swift observatory is expected to re-enter Earth's atmosphere this year, because NASA has aborted its rescue mission.
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Apple recently posted and removed details explaining how Mac users in China could set up their computers to work with Alibaba's Qwen AI. Now, Reuters has confirmed long-held speculation that Apple has revisited its Google Gemini AI playbook and built its own proprietary AI model for China with support from Alibaba.
Apple worked with a Chinese partner because US models such as ChatGPT or Claude are not being made available there, though Chinese AI development doesn't seem to be held back by that lack. Apple and Alibaba have not commented on the claims, the report said.
The approach echoes Apple's work with Google to build more advanced large language models (LLMs) for use with Apple Intelligence, and the news will likely be seen as broadly positive by Chinese iPhone users. They can now look forward to working with Apple Intelligence on their devices. The proximity of the reporting suggests they may be able to access Apple's AI quite soon, once new Apple operating systems ship next month.
The silver lining
It's also smart, as it means Apple has identified a way to introduce AI features in nations that are becoming protective of their tech stack.And while Apple's work with Google on Apple Intelligence was widely regarded as signifying how far behind the company had grown on AI, the work it is now doing with A
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Flock Safety's automated license plate-reading cameras, used by thousands of law enforcement agencies in the U.S., have drawn intense criticism from civil liberties groups.
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Chinese smartphone makers have been followers in the global market, embracing the concepts and paradigms set in the past 20 years by Apple and Google. But AI may be giving the Chinese an opportunity to break away and set their own path forward.
Specifically, Chinese companies are integrating AI more fully into smartphones, and also using AI for limited robotics in phones. Here's what you need to know about these emerging trends.
China's ZTE recently showed its Nubia NaviX Ultra. The phone runs ByteDance's Doubao AI agent, which users can access with voice commands or by pressing a button on the phone. The phone has no home screen and no conventional app store.
Another Chinese company, called StepFun — it was founded in 2023 by Jiang Daxin, a former Microsoft vice president and chief scientist at Microsoft's Software Technology Center Asia — sells a phone called the StepX Neo. It runs a proprietary operating system called Step AOS based on Android, Linux, and an RTOS containing a built-in AI agent called Step Amoo. The StepX Neo splits phone functions into four primitives (communication, apps, files, system tools) that the agent recombines based on the stated goals of the user.
H
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A court has dismissed Google's case against SerpApi over that company's scraping of search results to train AI models.
The US District Court for the Northern District of California found that there was no indication that any copyright had been breached.
Google announced in December that it was suing SerpApI for its alleged web scraping, claiming that it was protecting copyright holders. In February, SerpApI fought back and asked the court to dismiss Google's case. And this week, Judge Yvonne Gonzalez Rogers agreed with SerpApi that Google's case has no merit.
Google's argument was that SerpApi's actions breached the US Digital Millennium Copyright Act (DCMA). It made two claims: first, that no person shall circumvent a technological measure that effectively controls access to a work protected under this title, and second that no person shall manufacture, import, offer to the public, provide, or otherwise traffic in any technology, product, service, device, or component protected by the Act.
SerpApi claimed that the URLs and other links that were being served by Google did not in themselves entail copyright and the judge agreed. In h
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Flock is setting up surveillance cams and drones in cities nationwide. Citizens are fighting back. Here's everything you should know.
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It's been 17 years and counting since Nemertes first wrote about the logic of integrating event response in the enterprise: bringing together the security operations center (SOC) and network operations center (NOC) at the organizational, operational, and technological levels. Needless to say, this has not happened at most organizations, although there has been a promising trend toward convergence in the monitoring and data management side of things. It's worth revisiting the issue.
Why converge?
The arguments for convergence remain pretty compelling:
Both the NOC and SOC are focused on keeping an eye on the systems and services comprising the IT environment; spotting and understanding anomalies; and spotting and responding to events and incidents that could affect or are affecting services to the business.
Both are focused on minimizing the effects of events and incidents on the business.
The streams of data they watch overlap hugely.
They often use the same systems (e.g. Splunk) in managing and exploring that data.
Both are focused on root-cause analysis based on those data streams.
Both adopt a tiered response approach, with first-line responders for "business as usual" operations and occurrences, and anywhere from one to three tiers of escalation to more senior engineers, architects, and analysts.
Most crucially: When something unusual happens in or to the environment (that router is acting funny), it can be very hard to know up front whether it is fundamentally a network issue (that router is acting funny - it has been misconfigured) or a security issue (that router is acting funny - it has been compromised) or both (that router is acting funny - it has been misconfigured and is now a serious vulnerability). Having fully separate NOC and SOC can mean duplicative work as both teams pick something up and examine it. It can mean ping-ponging inciden
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