One of WIRED's Favorite Chef Knives Is Free With a HelloFresh Membership The 8-inch Zwilling Four Star chef's knife is an excellent carbon steel blade that retails around $100. It's free with some food. I don't know if a good knife is hard to find. But they usually cost at least a hundred dollars, so it's worth noting when HelloFresh is offering one of WIRED's favorite chef's knives for the low, low price of free. This is the time of year when a lot of the best meal kit deals start to happen. And so if you hang around for three weeks of meal delivery service from HelloFresh, your third box will include delivery of a Zwilling Four Star 8-inch chef knife, a $100-plus carbon steel blade that WIRED reviewer Molly Higgins lists as her runner-up favorite blade overall--and her favorite carbon-steel for most people.

Prince William says he's'not in a calm state' as he arrives at the BAFTAs amid Andrew arrest drama: Prince of Wales says he's not in right frame of mind to watch weepy contender Hamnet - as Kate reveals it left her in floods of tears Who is Austin Tucker Martin? It's sensational, but William and Kate are the real King and Queen now. Read what my royal insiders are saying... it's the only way: MAUREEN CALLAHAN Tulsi Gabbard's personal life with mysterious videographer husband revealed in new intimate pictures I've met the man of my dreams... if he discovers my dirty little secret, he'll be disgusted: DEAR JANE JFK Jr took drugs'every single day': Everyone knows about Carolyn Bessette's cocaine snorting and cheating. But friends hid his binges, experimental sex and Jackie Kennedy's gay fears... until now Tide turns for little abandoned monkey Punch who had no one to love but his stuffed toy... as he's finally accepted into family Moment tourist minibus sinks in the world's deepest lake killing seven after crashing through the frozen ice Tucker Carlson forced to apologize to Israel's president for implying he went to Epstein's pedo island My American friends are all whispering the same rancid royal rumor. It's not just Andrew... this could bring everyone down: KENNEDY The Alexander brothers' alleged'rape playbook': Almost too monstrous to read, an exhaustive account of hideous secrets dating back to high school Vulgar squatter lazed around $2.3m mansion all day and sent child to work in BAKERY to help pay the bills... but now karma has caught up with her in the most delicious way The show must go on!

These beautiful and sturdy chef's knives make great gifts (for yourself or others), and are 20 percent off right now. As a home cook, I spent most of my life using dull, cheap knives. It wasn't until I started testing chef's knives earlier this year that I realized how important it is to invest a little bit in the tool you'll most likely be using every day for years (or even decades if you keep up with maintenance). I didn't realize that using a cheap, very dull knife as my daily driver was slowing down my cooking process, making less effective cuts, and even putting me at risk of injury, as the blade was dull and caused me to apply more pressure (which in turn made things more dangerous). Plus, they make seriously wonderful presents.

The chef's knife is the workhorse of the kitchen. We sliced, diced, and minced to find the best for every home chef. A Close Second Chef's Knife (Made From High-Carbon Stainless Steel) Zwilling Four Star 8-Inch Chef's Knife Not all knives are created equal, and a chef's knife is given that name for a reason. Like the proverbial dog to man, a chef needs their knife. Arguably the most important multipurpose tool you can find in a kitchen, it's the chef's main weapon--it can slice, dice, and chop ingredients with speed and precision. A chef's knife generally has a super-sharp end point and a curved, sloping edge. This curve is what makes the chef knife stand out, as it's designed to work with the natural rocking motion for quick chopping that also allows for finer cuts. With technology like ovens with cameras inside and AI-enabled refrigerators, the chef's knife remains the simple tool necessary for any kitchen.

The Posha and the Thermomix TM7 are the closest things to a home robot chef that mere mortals can afford. The catch is that you're the prep cook. The holiday is still almost a week away, and I'm sick of Thanksgiving. I've already made four rounds of mashed potatoes, three of mac and cheese, and three turkeys (with more still waiting in my fridge) as part of testing smart probes to help smoke turkeys outside and preparing seven-course holiday meal kits for friends and family. I was eager to finally outsource some of the cooking by testing two very different robo-chef devices, the Thermomix TM7 and the Posha kitchen robot . Both promise to plan my meals and also do most of the cooking, which sounds pretty good to me. The Thermomix descends from a German device launched in 1968--a time when the best-known robot chef was cartoon Rosie on --that was essentially a blender with a heater. It's since caught on big in countries from Italy to Portugal to Australia, and over the years it's added multi-tier steaming, baking, proofing, a touchscreen, an encyclopedic recipe app, and a whole lot of smart features.

Induction stoves use electromagnetism to heat food more efficiently than any other kind of stovetop. Breakthroughs, discoveries, and DIY tips sent every weekday. Ask someone in the United States about "electric cooking" and they'll probably describe one of those awful coil stoves, the ones that take forever to heat up and then burn your dinner to a crisp the moment you take your eyes off it. This unfortunate association is perhaps one reason why induction cooking hasn't quite taken off in the U.S. the way it has elsewhere in the world--in Europe, for example, where induction stoves are commonplace. How do induction stoves differ from electric stoves?

The increasing use of Large Language Models (LLMs) in a large variety of domains has sparked worries about how easily they can perpetuate stereotypes and contribute to the generation of biased content. With a focus on gender and professional bias, this work examines in which manner LLMs shape responses to ungendered prompts, contributing to biased outputs. This analysis uses a structured experimental method, giving different prompts involving three different professional job combinations, which are also characterized by a hierarchical relationship. This study uses Italian, a language with extensive grammatical gender differences, to highlight potential limitations in current LLMs' ability to generate objective text in non-English languages. Two popular LLM-based chatbots are examined, namely OpenAI ChatGPT (gpt-4o-mini) and Google Gemini (gemini-1.5-flash). Through APIs, we collected a range of 3600 responses. The results highlight how content generated by LLMs can perpetuate stereotypes. For example, Gemini associated 100% (ChatGPT 97%) of 'she' pronouns to the 'assistant' rather than the 'manager'. The presence of bias in AI-generated text can have significant implications in many fields, such as in the workplaces or in job selections, raising ethical concerns about its use. Understanding these risks is pivotal to developing mitigation strategies and assuring that AI-based systems do not increase social inequalities, but rather contribute to more equitable outcomes. Future research directions include expanding the study to additional chatbots or languages, refining prompt engineering methods or further exploiting a larger experimental base.

People occasionally ask me if AI is coming for my job. I'm pretty hands-on, which gives me a bit of a feeling of security. But that feeling dropped a bit when I saw a robot with a knife in its gripper, testing its edge. The robot is a side project from Seattle Ultrasonics, a tiny operation run by Scott Heimendinger, an alumni of Modernist Cuisine and Anova, and cofounder of the beloved Sansaire sous vide company. Before all that, he was at Microsoft, working on software that became Power Query and Power BI. "I'm pretty ridiculously good at Excel," Heimendinger says, referring to his time at Microsoft before pausing.

We introduce chefs' random tables (CRTs), a new class of non-trigonometric random features (RFs) to approximate Gaussian and softmax kernels. CRTs are an alternative to standard random kitchen sink (RKS) methods, which inherently rely on the trigonometric maps. We present variants of CRTs where RFs are positive, a key requirement for applications in recent low-rank Transformers. Further variance reduction is possible by leveraging statistics which are simple to compute. One instantiation of CRTs, the optimal positive random features (OPRFs), is to our knowledge the first RF method for unbiased softmax kernel estimation with positive and bounded RFs, resulting in exponentially small tails and much lower variance than its counterparts.

In cooperative training, humans within a team coordinate on complex tasks, building mental models of their teammates and learning to adapt to teammates' actions in real-time. To reduce the often prohibitive scheduling constraints associated with cooperative training, this article introduces a paradigm for cooperative asynchronous training of human teams in which trainees practice coordination with autonomous teammates rather than humans. We introduce a novel experimental design for evaluating autonomous teammates for use as training partners in cooperative training. We apply the design to a human-subjects experiment where humans are trained with either another human or an autonomous teammate and are evaluated with a new human subject in a new, partially observable, cooperative game developed for this study. Importantly, we employ a method to cluster teammate trajectories from demonstrations performed in the experiment to form a smaller number of training conditions. This results in a simpler experiment design that enabled us to conduct a complex cooperative training human-subjects study in a reasonable amount of time. Through a demonstration of the proposed experimental design, we provide takeaways and design recommendations for future research in the development of cooperative asynchronous training systems utilizing robot surrogates for human teammates.