Best Amazon deals to shop this week: I combed through thousands of sales and found savings of up to 80%
Top Amazon deals
iRobot Roomba Robot Vacuum for $129 (was $250): Near all-time low; nearly 50% off
Granitestone Piezano Pizza Oven for $100 (was $150): Near all-time low
Amazon 43-Inch Fire TV for $210 (was $370): All-time low; over 40% off
Cozsinoor Bed Pillows, Queen, 2-Pack for $25 (was $120): All-time low; nearly 80% off
Brooks Ghost 16 Sneakers for $110 (was $140): All-time low
Once the sun comes out, I'm thinking of hosting an outdoor gathering — and as far as the food is concerned, my parents swear by this countertop pizza oven (on sale for close to an all-time low). It reaches 800°F for a charred crust, and I won't have to stand outside with the bugs to make pies with it. Speaking of being outdoors, warmer weather always inspires me to be more active, and these cushy Brooks sneakers — down to a record low — are stylish and promise to keep my feet content. It's also the season of getting organized, and spring cleaning is much more pleasant when you have a robot vacuum and mop doing the dirty work for you (this Roomba is a near-record-low $129 — nearly 50% off!).
With deep discounts on tech, home goods, spring fashion and beauty finds, there's a little something for everyone. Happy shopping and, more importantly, saving!
In this guide: Rare Amazon deals | All-time low prices | Best home deals | Best kitchen deals | Best tech deals | Best fashion deals | Best beauty and wellness deals
If you have Amazon Prime, you'll get free shipping, of course. Not yet a member? No problem. You can sign up for your free 30-day trial here. (And by the way, those without Prime still get free shipping on orders of $35 or more.)
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The Hill
13 minutes ago
- The Hill
Tech companies building massive AI data centers should pay to power them
The projected growth in artificial intelligence and its unprecedented demand for electricity to power enormous data centers present a serious challenge to the financial and technical capacity of the U.S. utility system. Appreciation for the sheer magnitude of that challenge has gotten lost as forecast after forecast projects massive growth in electric demand over the coming decade. The idea of building a data center that will draw 1 gigawatt of power or more, an amount sufficient to serve over 875,000 homes, is in the plans of so many data center developers and so routinely discussed that it no longer seems extraordinary. The challenge, when viewed in the aggregate, may be overwhelming. A recent Wood Mackenzie report identified 64 gigawatts of confirmed data center related power projects currently on the books with another 132 gigawatts potentially to be developed. 64 gigawatts are enough to power 56 million homes — more than twice the population of the 15 largest cities in America. The U.S. electric utility system is struggling to meet the projected energy needs of the AI industry. The problem is that many utilities do not have the financial and organizational resources to build new generating and transmission facilities at the scale and on the data center developers' desired timeline. The public policy question now on the table is who should pay for and bear the risk for these massive mega-energy projects. Will it be the AI developers such as Amazon, Microsoft, Meta and Alphabet — whose combined market value is seven times that of the entire S&P 500 Utility Sector — or the residential and other customers of local electric utilities? The process to answer this and related questions is underway in the hallways of the U.S. Congress, at the Federal Energy Regulatory Commission and other federal agencies, in tariff proceedings before state regulatory authorities and in public debate at the national, state and local levels. Whether they are developed at the federal, state or local level, the following values and objectives should form the core of public policy in this area: Data centers developers that require massive amounts of electric power (e.g. above 500MW or another specified level) should be required to pay for building new generating and transmission facilities. The State of Texas recently enacted legislation that requires data centers and other new large users to fund the infrastructure necessary to serve their needs. Although it is customary to spread the cost of new facilities across the user base of a utility, the demands that data center developers are placing on utility systems across the country are sufficiently extraordinary to justify allocating the costs of new facilities to those developers. Moreover, data center developers have the financial resources to cover those costs and incorporate them into the rates charged to users of their AI services. The developers of large data centers should bear the risk associated with new utility-built generating and transmission facilities, not the utility. As an example of such a policy, the Public Utility Commission of Ohio just approved a compromise proposed by American Electric Power of Ohio that would require data centers with loads greater than 1 gigawatt and mobile data centers over 25 megawatts to commit to 10-year electric service contracts and pay minimum demand charges based on 85 percent of their contract capacity, up from 60 percent under the utility's current general service tariff. Another option included in the Texas legislation requires significant up-front payments early in the planning process and mandates that data center developers disclose where they may have simultaneously placed demands for power. It is not unusual for data center requests for service to be withdrawn once they decide on the best location and package of incentives. Data center developers have the financial capacity and ability to manage this risk, utilities do not. Generating facilities that are co-located at large data centers should be integrated with the local utility electric grid, with appropriate cost allocation. Although a few projects have examined the option of a co-located power generation 'island' fully independent of the grid, most projects intend to interconnect with the grid system for back-up power and related purposes. Properly managed, this interconnection could be advantageous for both the data center and the utility system, provided that costs are appropriately allocated across the system. The U.S. government should continue to support the development of nuclear technology, including small modular reactors. U.S. utilities do not have the financial resources to assume the risk of building new nuclear-powered generating facilities. The emergence of a new set of customers, data center developers with enormous needs for electric power and deep pockets, changes the equation. The U.S. government has provided billions of dollars of support for new nuclear technologies and should continue to do so for the purpose of bringing their costs down. The U.S. government should continue to support energy efficiency improvements at data centers. Data centers use massive amounts of power for running servers, cooling systems, storage systems, networking equipment, backup systems, security systems and lighting. The National Renewable Energy Laboratory has developed a 'handbook' of measures that data centers can implement to reduce energy usage and achieve savings. In addition, there now are strong market forces to develop new super-efficient chips that will lower the unit costs of training and using AI models. The U.S. government should help accelerate the development of these chips given their leverage on U.S. electricity demand. The stakes in this public policy debate over our energy future could not be higher. If we get these policies right, AI has the potential to remake the U.S. economy and the energy infrastructure of this country. If we get it wrong, the push to build new generating and transmission facilities to provide gigawatts of power has the potential to overwhelm the financial and operational capacity our electric utility system, impose burdensome rate increases on homeowners and businesses, undercut efforts to reduce the use of fossil fuels to meet climate-related goals and compromise the reliability of our electricity grid for years to come. David M. Klaus is a consultant on energy issues who served as deputy undersecretary of the U.S. Department of Energy during the Obama administration and as a political appointee to two other Democratic presidents. Mark MacCarthy is the author of 'Regulating Digital Industries' (Brookings, 2023), an adjunct professor at Georgetown University's Communication, Culture & Technology Program, a nonresident senior fellow at the Institute for Technology Law and Policy at Georgetown Law and a nonresident senior fellow at the Brookings Institution.
CNET
2 hours ago
- CNET
Ninja's Glass-Bowl Air Fryer Won Me Over. Here Are 4 Reasons I Made the Switch
CNET's expert staff reviews and rates dozens of new products and services each month, building on more than a quarter century of expertise. 9.2 / 10 SCORE Ninja Crispi $180 at Amazon $180 at Best Buy $180 at Target Pros Cook, serve, and storage capabilities Easy to clean: almost everything is dishwasher-safe Intuitive operation No concern about PFAS Ability to see cooking in progress Can buy additional glass vessels for maximum food prep Small storage footprint with nesting capabilities Portable Cons Price is on the high side for air fryers Some exposed hot elements during operation Ninja Crispi 9.2/10 CNET Score $180 at Amazon We're a little obsessed with air fryers around here. We've spent countless hours putting them through their paces -- testing everything from frozen snacks to full meals -- while also evaluating how each model performs. This past spring, a new contender stood out: an air fryer with a sleek glass cooking chambe that breaks from the usual bulky black-box design and hard-to-get-really-clean nonstick basket. After running it through our full battery of tests, it didn't just pass -- it quickly became the favorite. The result? It earned CNET's Editor's Choice award and claimed the top spot on our Best Air Fryers of 2025 list. The Ninja Crispi is our new favorite air fryer. Ninja Read more: Air Fryer Fails: 8 Foods That Just Can't Handle the Heat The Crispi is one of the more expensive air fryers we've tested at $160. But if you're hunting for an air fryer that's easy to use, easy to get clean -- like, really clean -- built to last and causes no concern about ingesting cookware chemicals, the Ninja Crispi is worth a look. Here's how it works and four reasons I switched to a glass-bowl air fryer in 2025. Ninja Crispi 4-in-1 portable glass air fryer at a glance Style : Modular air fryer with two sizes of glass cooking vessels and a separate cooking pod in three color options : Modular air fryer with two sizes of glass cooking vessels and a separate cooking pod in three color options Dimensions : 13.5 by 12 by 13.5 inches : 13.5 by 12 by 13.5 inches Power : 1,500 watts : 1,500 watts Weight : 15.74 pounds : 15.74 pounds Price $160 Ninja Crispi operation: How it's different Being able to visually track progress is one of the big draws for Ninja's new air fryer. Pamela Vachon/CNET The cooking pod itself includes crisp, bake, air fry and max crisp functions. Crisp is intended to revive leftovers, while max crisp is the ideal setting for packaged frozen foods. While it is tempting, given its baking dish look, the glass TempWare bowls are not intended to be used as the actual cooking vessels for batters in bake mode, because air still needs to circulate below the cooking vessels to be effective. (Will I try anyway? The temptation is real…) Pressing any button will indicate a digital timer to which you can add or subtract minutes. (The timer defaults to 10.) Below 1 minute, the timer changes into seconds and the device beeps to alert you when the cycle is complete. Overall, the sound level of the Ninja Crispi was similar to conventional air fryer models, with just a moderate whir when operating. 4 reasons I switched to the glass-bowl Ninja Crispi You can see what you're cooking My brussels sprouts got a good char in the Crispi. Pamela Vachon/CNET As expected, the ability to see the cooking in progress was really satisfying, both from a nerdy perspective and also to be able to look for visual cues in terms of when to flip your items or to assess doneness. Both chicken parts and Brussels sprouts were cooked evenly and efficiently with little risk of over-cooking given the 360-degree window into the proceedings. 2. Glass bowls are nontoxic and easy to get clean NInja Most air fryers use aluminum cooking baskets with a nonstick coating. Those coatings tend to chip and breakdown if you're not careful. Plenty of folks are concerned about the health ramifications for ingesting nonstick chemicals that chip of of cookware. With a glass-bowl air fryer, there's no worry. If that's not enough, glass is much easier to deep-clean than nonstick surfaces and you can use the dishwasher without issue. 3. The glass bowls double as food storage containers The cooked food is ready to be packed away or brought to a party as soon as it's done. Pamela Vachon/CNET The versatility, however, makes the Ninja Crispi tremendously interesting, especially for avid meal preppers. Full meals or individual cooked components can go right from cooking into the fridge, with the included lids for easy storage. (Although I am bound by refrigerator logistics to tell you to let it all cool first, so you don't inadvertently raise the temperature inside your fridge.) Additional cooking bowls in a variety of sizes can be purchased separately, allowing for the possibility of a multitude of individually cooked meals with no cleanup required in between use: just transfer the cooking pod from one cooking vessel to the next, assembly-line style. Sunday meal prep has never been easier, nor required fewer dishes. 4. It's easy to store The Ninja Crispi is also easy to store, with a footprint and height requirement that is far less than a lot of conventional models. It also makes for easy portability -- ideal for a potluck situation or even just a hot-meal self-care moment -- where you could even justify cooking on site. Either of the cooking bowls and the cooking pod could easily fit in a shoulder bag. If I worked in an office, it would thrill me to bring the whole thing with me to have a hot, healthful lunch without reheating. Although if you're contemplating being the person to cook fish directly at your desk -- maybe don't. Not only can the larger 4-quart bowl be used directly as a family-style serving vessel -- whose practical feet preclude the need for a trivet or pot holder -- but one could argue that the smaller 4-cup vessel can be used to eat out of directly, significantly reducing the number of dishes to wash. Speaking of washing, everything except the cooking pod itself is dishwasher-safe. Ninja Crispy setup Convenient as it, the glass cooking chamber does get hotter than your average air fryer base. Pamela Vachon/CNET Despite not looking anything like a typical air fryer, the Ninja Crispi was intuitive to set up and use. Each of the glass cooking vessels has a built-in stand with feet that keeps it off the counter surface. Side handles are also fitted on the stands of the bowls, which allow not only for easy transporting between the counter and the table (because the vessels can also be used to serve) but also make it easy to shake the contents as needed during the cooking process. The nonstick crisper plates were packaged separately and simple to place inside the bowls and to remove for cleaning. Lids for the 6-cup and 4-quart bowls were also included: a snap-on lid for the smaller and a simpler press-on lid for the larger. The cooking pod itself has an ergonomic shape for easy lifting and also has feet for safe placement on the counter when not in use. The cooking pod sits easily on top of the 6-cup bowl and a big-batch adapter frame fits the cooking pod onto the larger bowl. Between unwrapping and rinsing all of the washable parts, I was ready to go in about 2 minutes. What I didn't like about the Ninja Crispi Convenient as it, the glass cooking chamber does get hotter than your average air fryer base. Pamela Vachon/CNET As a modular device with a ton of built-in practicality and versatility, I do think the Ninja Crispi is a game-changer in the air fryer market. That said, at $160 it's on the higher side, price-wise, for an air fryer. Those with little ones in the house also may want to note: When the cooking pod is being used with the adapter for large batches, the adapter can become hot and is potentially exposed once the heating pod is removed. Never minding little ones, if you're an absent-minded cook yourself, it can be a hazard. Read more: 8 Foods That Go From Good to Great in an Air Fryer Final verdict on the Ninja Crispi If you're a disciple of air fryer cooking and, especially if you have a serious commitment to meal prepping, the Ninja Crispi is arguably one of the most versatile models on the market. It's satisfying to use and easy to store and clean. You may want to look for it on sale during Prime Days or the like, but even without a discount, its utility and the reputation of the Ninja brand merits its price tag.
Yahoo
3 hours ago
- Yahoo
2 Artificial Intelligence (AI) Stocks With High Conviction
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Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $636,628!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,063,471!* Now, it's worth noting Stock Advisor's total average return is 1,041% — a market-crushing outperformance compared to 183% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 21, 2025 Ryan Vanzo has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon and Nvidia. The Motley Fool has a disclosure policy. 2 Artificial Intelligence (AI) Stocks With High Conviction was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
