Lego's next release is a digital brick loaded with sensors that add new layers of interactivity to its play sets. WIRED got exclusive access to the Lego labs where the Smart Brick was born. The secretive division of 237 staff based here and in London, Boston, and Singapore is dedicated to thinking up what comes next for the world's largest toy brand. In front of me, on a plain white table, is a batch of prototypes of Lego's new Smart Brick, the final version of which is a small, sensor-laden 2-by-4 black brick with a big brain. No outsider has seen these prototypes, all of which represent stages of a journey Lego has been charting over the past eight years. Lego hopes this innovation, which lands in stores March 1, will safeguard the future of its plastic empire. The diminutive proportions of the finished Smart Brick belie the fact that the thing is exceedingly clever. Inside is a tiny custom chip running bespoke software that can communicate with onboard sensors to monitor and react to motion, orientation, and magnetic fields. It's also likely no exaggeration that the Smart Brick could represent the most radical product Lego has produced since Jens Nygaard Knudsen, the company's former longtime chief designer, created the minifigure nearly 50 years ago.

Who cares about kids when adult collectors are willing to pay top dollar? From the moment a pixelated Gengar and Nidorino faced off in the opening animation of the first games on the original Game Boy back in 1996, the franchise has been a perennial favorite of kids and adults alike. With 2026 marking 30th anniversary, Lego's first-ever collaboration with the enduringly popular monster-catching megahit is perfectly timed--a crossover of pop culture titans with just one problem: Anyone who isn't an ultra-fan with cavernously deep pockets isn't invited. The recent announcement of a line of Lego Pokémon wasn't a surprise--the Danish brick brand first revealed it had entered into a "multi-year partnership" with The Pokémon Company back in March 2025 --but the makeup of the range itself was. Despite the mass appeal, Lego is launching with just three sets, and every single one is age-rated 18+.

Lego also recognized that it had to build a course that'll work regardless of a teacher's fluency in such subjects. So a big part of developing the course was making sure that teachers had the tools they needed to be on top of whatever lessons they're working on. "When we design and we test the products, we're not the ones testing in the classroom," Silwinski said. "We give it to a teacher and we provide all of the lesson materials, all of the training, all of the notes, all the presentation materials, everything that they need to be able to teach the lesson." Lego also took into account the fact that some schools might introduce its students to these things starting in Kindergarten, whereas others might skip to the grade 3-5 or 6-8 sets.

How to claim Verizon's $20 outage credit The latest Legend of Zelda Lego set pays tribute to Ocarina of Time's final battle The new set joins the Deku Tree set from 2024 and arrives on March 1. We already knew something -related was coming from Nintendo and Lego in 2026, and now we know exactly what that set will look like. Weighing in at a surprisingly modest 1,003 pieces, the typically word salad-y Lego The Legend of Zelda: Ocarina of Time - The Final Battle is the second Lego Zelda set, following the 2,500-piece Great Deku Tree set in 2024. While the latter lets you choose between building either a or -themed replica of the wise old guardian of the forest, the upcoming set is aimed squarely at fans of the series' debut 3D outing. As you can probably guess from the name, it's a brick-built tribute to Link and Princess Zelda's climactic battle with Ganondorf in the seminal Nintendo 64 game, in what remains of the castle.

Engadget's best of CES 2026: All the new tech that caught our eye in Las Vegas This year, over 4,000 exhibitors descended on Las Vegas, Nevada to showcase their wares at CES, and the Engadget team was out in full force . The week started with press conferences from the biggest companies at the show, which were often a flurry of AI buzzwords, vague promises and very little in the way of hard news. More than one company even decided to forgo announcing things during their conferences to make way for more AI chatter, only to publish press releases later quietly admitting that, yes, actually, they did make some consumer technology. It's appropriate, I guess, that as we're beginning to feel the knock-on cost effects of the AI industry's insatiable appetite for compute resources -- higher utility bills and device prices -- companies would rather use their flashy conferences to reinforce AI's supposedly must-have attributes rather than actually inform the public about their new products. We're by no means AI luddites at Engadget, but it's fair to say that our team is more excited by tangible products that enrich our lives than iterative improvements to large language models. So, away from all of the bombast of NVIDIA's marathon keynote and Lenovo's somehow simultaneously gaudy and dull Sphere show, it's been a pleasure to evaluate the crowd of weird new gadgets, appliances, toys and robots vying for our attention.

Welcome to your first CES edition of TMA, attempting (almost futilely) to distill the biggest product reveals and announcements. Despite two days of briefings and conferences, today is merely day one. However, we've already seen Sony Honda reveal its next car -- and the Afeela 1 isn't yet on sale. We've got a deep dive on what we've seen so far, right here. AMD announced new Ryzen AI 400 laptop processors and updated desktop chips, including the Ryzen 7 9850X3D, with a new focus broadly on AI processing improvements.

Lego's Smart Brick Gives the Iconic Analog Toy a New Digital Brain The new sensor-packed Smart Play Brick will land this spring as part of a special Star Wars collection. The update adds interactive lights and sound to the Lego experience--including the minifigs. At CES in Las Vegas today, Lego has unveiled its new Smart Play platform, aimed at taking its distinctly analog plastic blocks and figures into a new world of tech-powered interactive play--but crucially one without any reliance on screens. Smart Play revolves around Lego's patented sensor-and tech-packed brick. It's the same size as a standard 2 x 4 Lego brick, but it is capable of connecting to compatible Smart Minifigures and Smart Tags and interacting with them in real time.

This $400 set comes with minifigures of the Next Gen crew, including Picard, Riker, and Wesley Crusher's portable tractor beam. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. It is impossible to overstate just how big an impact had on an entire generation of kids growing up in the 1990s. I watched every episode with my mom.

With the growing demand for safeguarding sensitive user information in recommender systems, recommendation attribute unlearning is receiving increasing attention. Existing studies predominantly focus on single-attribute unlearning. However, privacy protection requirements in the real world often involve multiple sensitive attributes and are dynamic. Existing single-attribute unlearning methods cannot meet these real-world requirements due to i) CH1: the inability to handle multiple unlearning requests simultaneously, and ii) CH2: the lack of efficient adaptability to dynamic unlearning needs. To address these challenges, we propose LEGO, a lightweight and efficient multiple-attribute unlearning framework. Specifically, we divide the multiple-attribute unlearning process into two steps: i) Embedding Calibration removes information related to a specific attribute from user embedding, and ii) Flexible Combination combines these embeddings into a single embedding, protecting all sensitive attributes. We frame the unlearning process as a mutual information minimization problem, providing LEGO a theoretical guarantee of simultaneous unlearning, thereby addressing CH1. With the two-step framework, where Embedding Calibration can be performed in parallel and Flexible Combination is flexible and efficient, we address CH2. Extensive experiments on three real-world datasets across three representative recommendation models demonstrate the effectiveness and efficiency of our proposed framework. Our code and appendix are available at https://github.com/anonymifish/lego-rec-multiple-attribute-unlearning.

Amazon Prime Day is live. See the best deals HERE. You can never have too many Legos. Stock up during Walmart's fall sale and get your holiday shopping done early. We may earn revenue from the products available on this page and participate in affiliate programs.