Retail
40 Best Early Black Friday Deals on WIRED-Tested Gear (2025)
We found early Black Friday deals on WIRED-tested smart bird feeders, smartwatches, vacuums, and more. Black Friday and Cyber Monday are two of the biggest shopping holidays of the year. Falling on the Friday and Monday after Thanksgiving, it's safe to expect Black Friday deals on thousands of items big and small. As always, the WIRED Reviews team will be scouring the internet to find truly good deals on items we've actually hand-tested and would recommend to a friend. While the official sales have not yet started, there are already some great early discounts on reliable gear.
Decapitated fish fossils depict Late Jurassic food chain
'Aspidorhynchus' was an efficient predator-but sometimes they became the prey. Breakthroughs, discoveries, and DIY tips sent every weekday. An unusual type of fossilized fish can be found within the limestone of present-day Germany. The Late Jurassic era conditions exhibited at the famed Solnhofen deposits have preserved the remains of multiple marlin-like marine predators known as . But these carnivorous remains aren't complete specimens--they're decapitated heads still attached to gastrointestinal tracts.
Tired of turkey? Try gene edited, meat-like fungi.
Try gene edited, meat-like fungi. Using CRISPR, researchers made a protein packed fungi that's easier to stomach. Breakthroughs, discoveries, and DIY tips sent every weekday. It might not seem so obvious when walking past rows of vacuum-sealed Butterball turkeys at the supermarket, but the world is on the brink of a protein shortage . Global demand for animal-based protein is expected to double by 2050 and while plant-based alternatives exist, enthusiasm around them has wavered in recent years .
The 3Doodler is a handheld 3D printer that makes a great gift and it's only 40 at Amazon for Black Friday
Gear The 3Doodler is a handheld 3D printer that makes a great gift and it's only $40 at Amazon for Black Friday These are the best early Black Friday deals on STEM gifts for kids under $50. We may earn revenue from the products available on this page and participate in affiliate programs. Buying gifts for kids can be hard. You want to get them something creative, but it also has to be fun enough to keep their attention. Plus, you don't want their parents to hate you for it (most of the time).
Missing Launchpad in MacOS 26? Here's How to Bring It Back
Apple has retired the Mac's Launchpad, a feature that displayed all your apps and let you quickly pick the one you want to open. You can recreate the app launcher using these alternatives. The latest version of macOS, named Tahoe, added all kinds of new features to the Mac desktop. It also removed one: Launchpad. The feature, which gave Mac users an iPhone-like grid of applications complete with support for folders, is missing from macOS 26.
A Holiday Gift Guide: The Newest, Strangest Gadgets and Apps
Our columnist on digital culture suggests technology--or anti-technology technology--to give this holiday season. We are entering a Surrealist phase of personal technology. Any device you might imagine can be found online courtesy of an obscure Chinese factory, ready to be shipped out for a loved one's holiday enjoyment: pocket-size artificial-intelligence gizmos ( Rabbit r1, $199), in-home hologram machines (Code 27 Character Livehouse, $558), human-size robot servants ( 1X NEO, $20,000). The components of tech have become better and cheaper, from microchips to speakers and screens (have you seen how cheap a good TV is these days?), enabling out-there innovation. On the consumer side, we are bored of rote device designs; we've seen a dozen models of iPhone and crave something refreshingly different.
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
Olivares, Kin G., Wolff, Malcolm, Konstantinova, Tatiana, Ramasubramanian, Shankar, Oreshkin, Boris, Wilson, Andrew Gordon, Potapczynski, Andres, Potosnak, Willa, Mahoney, Michael W., Cao, Mengfei, Efimov, Dmitry
Cross-frequency transfer learning (CFTL) has emerged as a popular framework for curating large-scale time series datasets to pre-train foundation forecasting models (FFMs). Although CFTL has shown promise, current benchmarking practices fall short of accurately assessing its performance. This shortcoming stems from many factors: an over-reliance on small-scale evaluation datasets; inadequate treatment of sample size when computing summary statistics; reporting of suboptimal statistical models; and failing to account for non-negligible risks of overlap between pre-training and test datasets. To address these limitations, we introduce a unified reimplementation of widely-adopted neural forecasting networks, adapting them for the CFTL setup; we pre-train only on proprietary and synthetic data, being careful to prevent test leakage; and we evaluate on 15 large, diverse public forecast competition datasets. Our empirical analysis reveals that statistical models' accuracy is frequently underreported. Notably, we confirm that statistical models and their ensembles consistently outperform existing FFMs by more than 8.2% in sCRPS, and by more than 20% MASE, across datasets. However, we also find that synthetic dataset pre-training does improve the accuracy of a FFM by 7% percent.