We study a model of subscription-based platforms where users pay a fixed fee for unlimited access to content, and creators receive a share of the revenue. Existing approaches to detecting fraud predominantly rely on machine learning methods, engaging in an ongoing arms race with bad actors. We explore revenue division mechanisms that inherently disincentivize manipulation. We formalize three types of manipulation-resistance axioms and examine which existing rules satisfy these. We show that a mechanism widely used by streaming platforms, not only fails to prevent fraud, but also makes detecting manipulation computationally intractable. We also introduce a novel rule, ScaledUserProp, that satisfies all three manipulation-resistance axioms. Finally, experiments with both real-world and synthetic streaming data support ScaledUserProp as a fairer alternative compared to existing rules.

The Eufy S4 Max NVR is a serious system for users who want smart features without giving up privacy or flexibility. Most home security systems force you to choose between smart features and local control. As its name indicates, this is a PoE (Power over Ethernet), NVR (Network Video Recorder) system with a built-in AI agent that runs on its own local hardware--there's no cloud storage and no subscription fees required to unlock key features. The bundle includes four of Eufy's PoE Cam S4 triple-lens cameras. Each of these has a fixed-position camera with a single wide-angle lens (122-degree field of view) that's fused to the dual-lens, pan/tilt/zoom camera beneath it.

Humans have been trying to talk to animals ever since we figured out how to form words. In modern times, we turn to technology for the solution--giving our dogs talking buttons to paw at, or trying to use artificial intelligence to help us understand whales. The latest and perhaps most direct approach at human-animal communication is a voice-activated collar that gives your pet the power to talk back to you. John McHale, a self-described "tech guy" based out of Austin, Texas, has a company called Personifi AI. The startup's goal, as the name implies, is to create tech that will "personify everything," as McHale puts it.

At CES this January, startup Rabbit unveiled its first device, just in time for the end of the year of the rabbit according to the lunar calendar. It's a cute little orange square that was positioned as a "pocket companion that moves AI from words to action." In other words, it's basically a dedicated AI machine that acts kind of like a walkie talkie to a virtual assistant. You're probably thinking of the Humane AI Pin, which was announced last year and started shipping this month. I awarded it a score of 50 (out of 100) earlier this month, while outlets like Wired and The Verge gave it similarly low marks of 4 out of 10.

Kurt'The Cyberguy' Knutsson weighs in on the new artificial intelligence bot known as ChatGPT that could potentially allow students to cheat in school on'Fox & Friends Weekend.' AI chatbots are one of the hottest tools being discussed right now. Like OpenAI, Google, Microsoft and others, many companies are hopping on the bandwagon and making their version of chatbots. However, with an invention comes a new way for cybercriminals to attack you. Now, crooks are turning to fake AI chatbot apps to swindle you. Let's dive into what to look for and how to avoid being tricked.

The Netatmo Smart Video Doorbell is the latest from one of Europe's biggest smart home security product makers. It was first shown at CES 2019, so it's been a long time coming. The product is now available in the U.S. for $300. That makes it much more expensive up front than many of its competitors, but it could easily work out cheaper over time because you don't need to pay any subscription charges for cloud-based video storage or other services. Netatmo's device is larger than some competitors, but it has a smart design with the facia split evenly into three sections: the top is the camera, the center is the speaker, and the lower third is the doorbell button.

With many gyms off-limits during the pandemic, home workout classes from Peloton and others are more popular than ever. A twist on that came from a company called Mirror, which introduced an interactive reflective display that guides you through aerobics, stretching and free-weights without the need for a bike or heavy equipment. Now, Mirror has some competition. A company called Carbon has introduced its own interactive mirror called the Carbon Trainer, a 43-inch 4K LCD touch screen display with built-in sensors and accessories. It lets you choose classes for strength, conditioning and mobility, while monitoring your progress using AI and motion tracking technology.

Every day, Massachusetts seventh-grader Kaylyn Wilson takes a break from doing homework online and opens an app on her phone for a half-hour foreign language lesson. "The boy has three green bikes and an egg," the 12-year-old announced to her family in French at the start of her third week using the mobile app from Rosetta Stone, the language-learning software giant. Wilson doesn't yet need to study a language for credit. But during the school shutdowns to contain the coronavirus, her father saw Rosetta Stone advertise free accounts for students – an offer other language-learning software companies have made as well. Wilson decided to give it a go.

Your message has been sent. There was an error emailing this page. It's not printed in big letters on the box, but many of the latest smart home gadgets require a monthly subscription to unlock all their features. It might only be a few dollars a month, but over the life of a product it can easily double the purchase price. I can be particularly onerous if you're paying subscription fees for more than device.

Here we begin our survey of Amazon AWS cloud analytics and big data tools. First we will give an overview of some of what is available. Then we will look at some of them in more detail in subsequent blog posts and provide examples of how to use them. Amazon's approach to selling these cloud services is that these tools take some of the complexity out of developing ML predictive, classification models and neural networks. That is true, but could it be limiting.