Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Look Up Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series The messages ASOS app users received mention a Snowflake instance. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and . ASOS app users in the UK woke up Tuesday to an unsettling pop-up.

As prediction markets surge in popularity, a new platform called Verifact Markets is pushing the concept even further, letting users trade on "disputed facts." Would you put money on whether Covid-19 originated from a lab? How about whether some of the footage from the Apollo 11 moon landing was actually filmed on Earth? Verifact Markets, a new startup that bills itself as a "prediction market for disputed facts," is betting that people will be eager to weigh in on questions like these. The company's premise is so quirky it sounds like something a couple of philosophy and economics majors dreamed after too many bong rips in their dorm room: Instead of wagering on the future, why not trade on stuff that already happened?

Healthcare AI's next test is integration While advanced AI excels at processing clinical data, healthcare's true test lies in overcoming deeply fragmented administrative workflows. The entrance of major AI companies into healthcare is a meaningful and welcome development, accelerating the technical foundation available to the industry. Their models are increasingly capable of processing long clinical records, interpreting complex terminology, comparing documentation against evidence and generating coherent summaries from large volumes of information. For clinicians, operators, and administrative teams who spend significant time searching through fragmented data, these advances are helping reduce cognitive burden and make high-value information easier to access. But healthcare leaders should not confuse model capability with operational capability. Healthcare's administrative challenges are caused by fragmented information, fragmented workflows, and fragmented accountability, not a lack of information.

When you purchase through links in our articles, we may earn a small commission. Autodesk Revit is industry-standard BIM software for architects, engineers, and construction teams, now $399 for one year (MSRP $3,005). Professional BIM software usually costs hundreds a month, and most firms treat that as fixed overhead. Autodesk Revit brings that number down for a year of access, giving architects, engineers, and construction teams a full 3D modeling workflow on a single platform. Revit lets you design architectural, structural, and MEP systems inside a single environment.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen The latest Android 17 update adds broad support for Encrypted Client Hello, among other changes. ECH will help hide which websites you visit on your Android phone. By blocking 2G connections, you're protected from malicious SMS-blaster connections. ECH is still being rolled out, so even if your phone supports it, your connection may still be unsafe. According to Google, Android 17 offers a few new ways of keeping your connections secure and private.

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Reinforcement Learning (RL) is a continuously growing field that has the potential to revolutionize many areas of artificial intelligence. However, despite its promise, RL research is often hindered by the lack of standardization in the environment and algorithmic implementations. This makes it difficult for researchers to compare and build upon each other's work, slowing progress in the field. Gymnasium is an open-source library that provides a standardized API for RL environments, aiming to tackle this issue, with over 18 million installations. Gymnasium's main feature is a set of abstractions that allow for wide interoperability between environments and training algorithms, making it easier for researchers to develop and test new environments and/or RL algorithms. In addition, Gymnasium provides a collection of built-in easy-to-use environments, tools for easily customizing environments, and tools to ensure the reproducibility and robustness of RL research. Through this unified framework, Gymnasium significantly streamlines the process of developing and testing RL algorithms, enabling researchers to focus on innovation and less on implementation details. By providing a standardized platform for RL research, Gymnasium helps to drive forward the field of reinforcement learning and unlock its full potential.

Large language models (LLMs) are powerful tools capable of handling diverse tasks. Comparing and selecting appropriate LLMs for specific tasks requires systematic evaluation methods, as models exhibit varying capabilities across different domains. However, finding suitable benchmarks is difficult given the many available options. This complexity not only increases the risk of benchmark misuse and misinterpretation but also demands substantial effort from LLM users, seeking the most suitable benchmarks for their specific needs. To address these issues, we introduce BenchmarkCards, an intuitive and validated documentation framework that standardizes critical benchmark attributes such as objectives, methodologies, data sources, and limitations. Through user studies involving benchmark creators and users, we show that BenchmarkCardscan simplify benchmark selection and enhance transparency, facilitating informed decision-making in evaluating LLMs.