We've used all of these down comforter picks on our own beds and can attest they're excellent for winter (or year-round). Down comforter deals are usually easier to find during the warmest months of the year, but we've rustled up a few worth your while before it gets too bitterly cold outside. Down comforters are some of my very favorite products to test. I live in northern Illinois, and around this time of year it's usually either snowing, dangerously cold, or both. I have tried several blankets for our down comforter buying guide in my day-to-day life over the course of months.

Despite impressive progress on complex reasoning, current large language models (LLMs) typically operate in isolation - treating each problem as an independent attempt, without accumulating or integrating experiential knowledge. In contrast, expert problem solvers - such as Olympiad or programming contest teams - leverage a rich tapestry of experiences: absorbing mentorship from coaches, developing intuition from past problems, leveraging knowledge of tool usage and library functionality, adapting strategies based on the expertise and experiences of peers, continuously refining their reasoning through trial and error, and learning from other related problems even during competition. We introduce Xolver, a training-free multi-agent reasoning framework that equips a black-box LLM with a persistent, evolving memory of holistic experience. Xolver integrates diverse experience modalities, including external and self-retrieval, tool use, collaborative interactions, agent-driven evaluation, and iterative refinement. By learning from relevant strategies, code fragments, and abstract reasoning patterns at inference time, Xolver avoids generating solutions from scratch - marking a transition from isolated inference toward experience-aware language agents. Built on both open-weight and proprietary models, Xolver consistently outperforms specialized reasoning agents. Even with lightweight backbones (e.g., QWQ-32B), it often surpasses advanced models including Qwen3-235B, Gemini 2.5 Pro, o3, and o4-mini-high. With o3-mini-high, it achieves new best results on GSM8K (98.1%), AIME'24 (94.4%), AIME'25 (93.7%), Math-500 (99.8%), and LiveCodeBench-V5 (91.6%) - highlighting holistic experience learning as a key step toward generalist agents capable of expert-level reasoning. Code and data are available at https://kagnlp.github.io/xolver.github.io/.

These are the best Amazon deals of the day. Purchases you make through our links may earn us a commission. If the week was a thrilling roller coaster, Thursday would be located right before that super exciting, grin-inducing drop. With the weekend so close we can nearly taste it, we're kicking things off early with a little retail therapy to help with that final, end-of-week push. This Thursday, we've spotted some pretty electrifying deals at Amazon.

These deals also make great Valentine's Day gifts (hint, hint). If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Alright couples, Valentine's Day is almost here! If you still haven't gotten anything for the big holiday of love, don't fret--you still have (some) time.

Save on great items for your home. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. We're almost done with the workweek and that calls for a celebration. If you got paid today, it might be time to take advantage of some online shopping.

The 10 most popular things our readers bought on Amazon in January (Photo: Reviewed.com) If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. If you think people take a break from shopping after the holidays, guess again. January was a productive month for our readers and their wallets.

Prime Day, aka Amazon Prime Members' Christmas in July, is upon us. Since July 10th at 9 p.m. ET, digital doorbusters have been available across Amazon for Prime members, offering large savings and discounts on anything from home appliances and goods to trending tech items. Members with an Amazon Alexa device skipped the virtual lines as Voice Shopping deals began yesterday at 7pm ET. Already blew through your budget on summer vacation? Not to worry, there are plenty of bargains still available for those looking to score a W on Prime Day.

The idea was to greatly simplify SEO for most publishers and to remind them that the finer points of SEO don't matter if you don't get the basics right. The reason that machine learning is important to this picture is that search engines are investing heavily in improving their understanding of language. Hummingbird was the first algorithm publicly announced by Google that focused largely on addressing an understanding of natural language, and RankBrain was the next such algorithm. We also know that Google (and other engines) are interested in leveraging user satisfaction/user engagement data as well. Though it's less clear exactly what signals they will key in on, it seems likely that this is another place for machine learning to play a role.