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2025-01-29 17:13:35| Engadget

Do you constantly lose all of your stuff? No shame, but now might be a great time to invest in a few tracking devices. Luckily, a four-pack of Apple AirTags is on sale right now for $70 via Amazon. This is a record-low price and represents a 30 percent discount. It also breaks down to around $17.50 per tracker. Apple AirTags easily made our list of the best Bluetooth trackers, and this is especially true if you use an iPhone. The finding network is comprehensive and works just about anywhere. Just imagine all of those other Apple devices out there in the world helping to create this network. The end result? Youll likely find what youre looking for. These trackers can also use the ultra-wideband (UWB) wireless protocol, which gamifies finding lost objects. As long as the object is within 25 feet of your smartphone, the screen will display directional arrows and a distance meter. You use this data to zero in on the object, all without constantly ringing the AirTag. Of course, AirTags arent perfect. They are designed to work with iPhones and other Apple products, so Android users should keep scrolling. Also, the ringer only pings for seven seconds at a time. Sometimes thats enough to find a lost item, but not always.  Finally, Apple decided to not include attachment points with these trackers, so they cant connect to a keychain or a related accessory. However, there are plenty of amazing accessories for AirTags that get the job done. Follow @EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice.This article originally appeared on Engadget at https://www.engadget.com/deals/pick-up-a-four-pack-of-apple-airtags-while-on-sale-for-70-161335051.html?src=rss


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2025-01-29 16:42:49| Engadget

OpenAI claims that Chinese startups are persistently trying to copy the technology of American AI companies. Aligned with that, OpenAI says it and partner Microsoft have been banning accounts suspected of distilling its models. The two are trying to identify those behind such efforts and, per The Wall Street Journal, buzzy upstart DeepSeek is among the entities OpenAI is looking into. Distillation refers to the process of bolstering smaller and more efficient AI models by tapping into responses from more advanced ones. The aim is to achieve similar results in certain circumstances by aping larger models reasoning. OpenAI permits business users to distill its models on its platform, as the Journal notes, but under the company's terms of service, users arent allowed to train their own models on the output of its systems. DeepSeek has said that it uses distillation on R1, its most capable model, to train smaller ones. We know [China]-based companies and others are constantly trying to distill the models of leading US AI companies, an OpenAI spokesperson told The Guardian. They added it was critically important for OpenAI to work with the government to best protect the most capable models from efforts by adversaries and competitors to take US technology. The company didnt explicitly mention DeepSeek in its statement, but the Chinese startups open-source chatbot has blown up in recent days. For one thing, it hit the top of the free apps list in Apples App Store. Its success wiped $1 trillion of stock market value from publicly listed tech companies that are neck deep in the AI sector. Its been claimed that DeepSeeks chatbot performs about as well as AI systems from the likes of OpenAI and Google but at a fraction of the cost and with less-powerful chips, undercutting the belief that such technology is very expensive to develop and run. There have been reports that DeepSeek cites OpenAI policies in its outputs. Meanwhile, David Sacks, who is President Donald Trump's AI advisor, claimed there's "substantial evidence" that DeepSeek "distilled the knowledge out of OpenAIs models." Still, all of this concern seems extremely rich from OpenAI, a company that has faced a swathe of lawsuits from authors, comedians, news organizations and others who accused it of using their copyrighted work without consent to train its models. Indeed, the company admitted last year that it would be "impossible to train today's leading AI models without using copyrighted materials." It seems OpenAI would have you believe that what's good for the goose is not good for the gander.This article originally appeared on Engadget at https://www.engadget.com/ai/openai-suddenly-thinks-intellectual-property-theft-is-not-cool-actually-amid-deepseeks-rise-154249605.html?src=rss


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2025-01-29 16:00:34| Engadget

Comcast has announced new technology for ultra-low lag Internet on its Xfinity service. According to the company's release, users of select products and software from its partners will experience less delay in situations with bi-directional traffic. The first wave of supported applications include select games from Valve's Steam platform, GeForce Now from NVIDIA, select apps on mixed reality headsets from Meta, and FaceTime on Apple hardware. The reduction in latency comes from the Internet Engineering Task Force's L4S open standard. The tech is complex here's a whitepaper on L4S if you're interested but broadly if a packet traveling between your device and the server experiences congestion, it will report that on arrival, which can improve future packets' journeys. A rep from Comcast told Engadget that the products from Apple, Meta, NVIDIA and Valve are the first to support the tech because they were initial partners for testing this low-latency connectivity. Other developers can choose to take advantage of the open standard technology once Comcast has fully rolled out the low lag option and it will be available to all Xfinity customers then. Atlanta, Chicago, Colorado Springs, Philadelphia, Rockville (Maryland) and San Francisco are among the first cities to receive the low latency tech. Comcast said in its release that it plans to deploy to additional locations in the coming months.This article originally appeared on Engadget at https://www.engadget.com/big-tech/comcast-unveils-ultra-low-lag-internet-connection-150034901.html?src=rss


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