If you’ve been waiting for the global memory shortage to ease anytime this year and hardware prices to drop, Intel CEO Lip-Bu Tan has some bad news. Speaking at a recent Cisco Systems conference, Tan said the crunch will likely last at least two more years.

According to Bloomberg, Tan cited information from two key players in the memory space who reportedly told him, “There’s no relief until 2028.” The timeline aligns with recent comments from Micron’s Christopher Moore, VP of Marketing for its Mobile and Client Business Unit, who said tight supply conditions are likely to linger for the foreseeable future.

The prolonged shortage is being driven largely by the explosive growth of AI infrastructure, which is soaking up memory at an unprecedented scale. With memory manufacturers increasingly focused on serving data centers and AI workloads, supply for consumer devices is being squeezed. For buyers, that could mean paying more for laptops, phones, PC components, and even TVs.

AI demand could keep your next hardware upgrade expensive

Nvidia’s next wave of AI hardware could make the situation even worse. According to Tan, the company’s latest Rubin platform will drive demand even higher. AI is going to “suck up a lot of memory,” Tan said, which could further tighten supply for consumer electronics.

For consumers, this means the pressure on hardware pricing is unlikely to ease anytime soon. Devices may continue to ship with higher price tags or more modest memory configurations unless memory supply expands significantly or demand from AI infrastructure slows. Until then, buyers may need to plan upgrades carefully or hold onto existing hardware longer than usual.

Five years ago, Databricks coined the term ‘data lakehouse’ to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now commonplace across the data industry for analytics workloads.

Now, Databricks is once again looking to create a new category with its Lakebase service, now generally available today. While the data lakehouse construct deals with OLAP (online analytical processing) databases, Lakebase is all about OLTP (online transaction processing) and operational databases. The Lakebase service has been in development since June 2025 and is based on technology Databricks gained via its acquisition of PostgreSQL database provider Neon. It was further enhanced in October of 2025 with the acquisition of Mooncake, which brought capabilities to help bridge PostgreSQL with lakehouse data formats.

Lakebase is a serverless operational database that represents a fundamental rethinking of how databases work in the age of autonomous AI agents. Early adopters, including easyJet, Hafnia and Warner Music Group, are cutting application delivery times by 75 to 95%, but the deeper architectural innovation positions databases as ephemeral, self-service infrastructure that AI agents can provision and manage without human intervention.

This isn’t just another managed Postgres service. Lakebase treats operational databases as lightweight, disposable compute running on data lake storage rather than monolithic systems requiring careful capacity planning and database administrator (DBA) oversight.

 “Really, for the vibe coding trend to take off, you need developers to believe they can actually create new apps very quickly, but you also need the central IT team, or DBAs, to be comfortable with the tsunami of apps and databases,” Databricks co-founder Reynold Xin told VentureBeat. “Classic databases simply won’t scale to that because they can’t afford to put a DBA per database and per app.”

92% faster delivery: From two months to five days

The production numbers demonstrate immediate impact beyond the agent provisioning vision. Hafnia reduced delivery time for production-ready applications from two months to five days — or 92% — using Lakebase as the transactional engine for their internal operations portal. The shipping company moved beyond static BI reports to real-time business applications for fleet, commercial and finance workflows.

EasyJet consolidated more than 100 Git repositories into just two and cut development cycles from nine months to four months — a 56% reduction — while building a web-based revenue management hub on Lakebase to replace a decade-old desktop app and one of Europe’s largest legacy SQL Server environments.

Warner Music Group is moving insights directly into production systems using the unified foundation, while Quantum Capital Group uses it to maintain consistent, governed data for identifying and evaluating oil and gas investments — eliminating the data duplication that previously forced teams to maintain multiple copies in different formats.

The acceleration stems from the elimination of two major bottlenecks: database cloning for test environments and ETL pipeline maintenance for syncing operational and analytical data.

Technical architecture: Why this isn’t just managed Postgres

Traditional databases couple storage and compute — organizations provision a database instance with attached storage and scale by adding more instances or storage. AWS Aurora innovated by separating these layers using proprietary storage, but the storage remained locked inside AWS’s ecosystem and wasn’t independently accessible for analytics.

Lakebase takes the separation of storage and compute to its logical conclusion by putting storage directly in the data lakehouse. The compute layer runs essentially vanilla PostgreSQL— maintaining full compatibility with the Postgres ecosystem — but every write goes to lakehouse storage in formats that Spark, Databricks SQL and other analytics engines can immediately query without ETL.

“The unique technical insight was that data lakes decouple storage from compute, which was great, but we need to introduce data management capabilities like governance and transaction management into the data lake,” Xin explained. “We’re actually not that different from the lakehouse concept, but we’re building lightweight, ephemeral compute for OLTP databases on top.”

Databricks built Lakebase with the technology it gained from the acquisition of Neon. But Xin emphasized that Databricks significantly expanded Neon’s original capabilities to create something fundamentally different.

“They didn’t have the enterprise experience, and they didn’t have the cloud scale,” Xin said. “We brought the Neon team’s novel architectural idea together with the robustness of the Databricks infrastructure and combined them. So now we’ve created a super scalable platform.”

From hundreds of databases to millions built for agentic AI

Xin outlined a vision directly tied to the economics of AI coding tools that explains why the Lakebase construct matters beyond current use cases. As development costs plummet, enterprises will shift from buying hundreds of SaaS applications to building millions of bespoke internal applications.

“As the cost of software development goes down, which we’re seeing today because of AI coding tools, it will shift from the proliferation of SaaS in the last 10 to 15 years to the proliferation of in-house application development,” Xin said. “Instead of building maybe hundreds of applications, they’ll be building millions of bespoke apps over time.”

This creates an impossible fleet management problem with traditional approaches. You cannot hire enough DBAs to manually provision, monitor and troubleshoot thousands of databases. Xin’s solution: Treat database management itself as a data problem rather than an operations problem.

Lakebase stores all telemetry and metadata — query performance, resource utilization, connection patterns, error rates — directly in the lakehouse, where it can be analyzed using standard data engineering and data science tools. Instead of configuring dashboards in database-specific monitoring tools, data teams query telemetry data with SQL or analyze it with machine learning models to identify outliers and predict issues.

“Instead of creating a dashboard for every 50 or 100 databases, you can actually look at the chart to understand if something has misbehaved,” Xin explained. “Database management will look very similar to an analytics problem. You look at outliers, you look at trends, you try to understand why things happen. This is how you manage at scale when agents are creating and destroying databases programmatically.”

The implications extend to autonomous agents themselves. An AI agent experiencing performance issues could query the telemetry data to diagnose problems — treating database operations as just another analytics task rather than requiring specialized DBA knowledge. Database management becomes something agents can do for themselves using the same data analysis capabilities they already have.

What this means for enterprise data teams

The Lakebase construct signals a fundamental shift in how enterprises should think about operational databases — not as precious, carefully managed infrastructure requiring specialized DBAs, but as ephemeral, self-service resources that scale programmatically like cloud compute. 

This matters whether or not autonomous agents materialize as quickly as Databricks envisions, because the underlying architectural principle — treating database management as an analytics problem rather than an operations problem — changes the skill sets and team structures enterprises need.

Data leaders should pay attention to the convergence of operational and analytical data happening across the industry. When writes to an operational database are immediately queryable by analytics engines without ETL, the traditional boundaries between transactional systems and data warehouses blur. This unified architecture reduces the operational overhead of maintaining separate systems, but it also requires rethinking data team structures built around those boundaries.

When lakehouse launched, competitors rejected the concept before eventually adopting it themselves. Xin expects the same trajectory for Lakebase. 

“It just makes sense to separate storage and compute and put all the storage in the lake — it enables so many capabilities and possibilities,” he said.

OnePlus is tipped to deliver a major camera upgrade with its upcoming flagship, the OnePlus 16, expected later in 2026.

According to a new leak, the device will feature a 200MP telephoto sensor measuring 1/1.56 inches, a significant jump from the 50MP 1/2.76-inch telephoto lens found on the OnePlus 15. This change could dramatically improve zoom performance and image detail, while also introducing telephoto macro capabilities for close-up shots.

The leak, shared by @OnePlusClub on X, suggests OnePlus is finally addressing criticism of the OnePlus 15’s scaled-down camera system. That model shipped with smaller sensors and lacked Hasselblad colour tuning, leaving photography enthusiasts underwhelmed despite strong performance elsewhere.

The OnePlus 16’s rumoured telephoto upgrade would put it in line with rivals such as Oppo’s Find X9 series, which already offers telephoto macro functionality. 

Pros

• Thoughtful recipes you won’t find everywhere
• Even the quick recipes felt special
• Extremely fresh ingredients
• Not a lot of plastic waste

Cons

• On the expensive side when you factor in shipping
• Market add-ons are not the best

Meal kits have been around for more than a decade. HelloFresh, Blue Apron, and Home Chef have been the most visible, blasting ads on social media and during your favorite podcast — but are they the best? 

After testing and retesting every meal kit service (here’s how we do it), crafting dozens of these meals-by-mail in our own kitchens, we’ve picked a new favorite for 2026, and it’s not one of the “big three.” 

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Marley Spoon offers creative and tasty meals, which may come as no surprise when you learn who the woman behind the recipes is: kitchen maven herself, Martha Stewart.

Marley Spoon caters to adventurous home cooks and food enthusiasts with creative recipes that appeal to both beginners and more refined palates. Unlike some meal kit services that target newcomers with straightforward, quick-prep dishes, Marley Spoon offers more elevated fare featuring Martha’s own recipes. Many come straight from her cookbooks or personal collection, yet they remain accessible — you won’t need advanced techniques or professional training to pull them off.

Read more: Your Guide to Meal Kits: The Essential Tools You’ll Need to Get Started

Curious as we are at CNET about all things meal kits, we wanted to know just how good they are — and whether they’re worth the money. We tested a week’s worth of recipes for a third time to bring you this review of Marley Spoon’s meal kit delivery service.

How Marley Spoon works

Marley Spoon operates similarly to most others in the category and offers both meal kits with recipes that you cook and prepared meals that only require reheating.

After choosing between those two options, you will then answer the question, “What kid of meals do you like?” Meal kit options include everyday variety, low calorie, low carb, quick and easy, vegetarian, pescatarian and Mediterranean for two or four people and you can choose between two and six meals per week. The single-serving prepared meal options include everyday variety, low calorie or low carb and you can choose 6, 8, 10, 12, 14 or 18 meals per week.

Your box of meal kit ingredients is delivered once a week — unless you skip a week, which is easy to do — and you can either manually select recipes or let Martha Stewart personally choose them for you. OK, just kidding: She’s not your personal meal concierge, but you can let the brand select meals if you prefer a little mystery. You can select any day of the week for delivery, and the boxes will arrive between 8 a.m. and 9 p.m. 

There are now more than 100 recipes each week, ranging in difficulty. Before you choose a recipe for delivery, you’ll see all the steps involved, the estimated time it takes to complete, and detailed nutritional information to help you decide.  

Prepared meals are $12.99 each and shipping is $10.99 per box.

What are Martha Stewart & Marley Spoon meals like

As you might imagine, since Martha Stewart helped design the concept and created many of the recipes, there are some really interesting, high-end and gourmet dishes to choose from. Luckily, though, most are still fairly simple to make.

There are plenty of healthy recipes, along with dietary preferences to choose from. However, there are only between four and six vegan options each week so if you want more options, Purple Carrot may be a better choice for you. Other services that feature built-in diet meal plans include Green Chef, Home Chef or HelloFresh.

At Marley Spoon, you’ll find plenty of warming comfort dishes like French onion chicken breast and beef stroganoff, plus desserts you can add on to your box, such as baked gingerbread doughnuts and French-style cheesecake.

On the prepared-meal side, the recipes are just as creative. Some meals include tilapia with smoky tomato sauce and black bean street corn and merlot chicken meatballs with orzo pasta and green beans.

How easy are Martha Stewart & Marley Spoon meals to prepare?

Our meals ran the gamut from the super simple to a bit more complicated and time-intensive, but the good news is that it’s really up to you on how difficult you want the meals to be when you make your recipe selections.

The skillet chicken Parmesan, for instance, had a number of steps like preparing the chicken, cooking it, making the sauce and preparing the pasta (which had its own ingredients). For someone with a decent amount of cooking experience, this isn’t challenging, but some beginners might not be ready for such an involved meal. Other meals, such as the butternut squash pizza, were quite simple, tasty, and perfect for a weeknight when you don’t feel like fussing much or taking time to cook.  

Read more: Meal Kits Taught Me How to Cook. Now I Get to Test Them for a Living

What we cooked and how it went

Beef picadillo pockets with bell peppers and cilantro chimichurri: This meal was not only delicious but also fun to make. It was the first time I used raw dough in a meal kit recipe, and the results were well worth the effort. Although the empanadas were filling, I still would have liked it to have come with a side other than the chimichurri sauce.

Butternut squash pizza with ricotta, almonds and hot honey: I had never had butternut squash on a pizza before this meal, but I can definitely see myself making this again. It was a perfect fall meal with the onions, squash, rosemary and almonds added on top.

Seared salmon and citrus butter sauce with smashed potatoes and shaved Brussels salad: The Brussels sprout salad helped elevate this simple meal and take it to the next level. I cooked the salmon on the stovetop and the smashed potatoes in my air fryer.

Skillet chicken Parmesan with casarecce and sautéed spinach: This recipe was good and very comforting, though it certainly had a healthy share of carbs and calories. The red sauce was very simple and the chicken cutlets weren’t breaded so it felt a little healthier than normal chicken Parm but not quite enough to be really, truly healthy. I had lots of leftovers, which was nice. 

Honey miso salmon with roasted carrots and Brussels sprouts: This one was great and healthy, but it wasn’t particularly out-of-the-box. The salmon was high-quality and tasted super fresh.

Restorative chicken soup with sweet potato kale and quinoa: A very tasty and hearty soup I made and ate all week. The shredded chicken was already cooked, which surprised me but I appreciated, as it was still moist and flavorful. This entire meal was simple to prepare and felt like nourishing medicine, thanks to all those superfoods. 

Marley Spoon support materials 

I found the recipes clear, concise and easy to follow. There’s some nice background on the ingredients, too: my salmon recipe, for instance, provided context on miso for anyone unfamiliar with the fermented paste. The Marley Spoon app is also helpful with lots of information about each recipe and gives you the ability to order, pause, cancel or skip a week right from your mobile device. 

What makes Marley Spoon different from other meal kit services?

One thing to like about this service is it doesn’t try to be anything other than good. There’s no pandering to fad diets or giving users too much autonomy to change recipes or swap out meats. The meal kit service’s proposition is that the culinary team has come up with thoughtful, mostly healthy recipes they think you’ll enjoy — and they ask you to put your trust in them. I wouldn’t go so far as to call it stuffy or stubborn, but there is something very Martha Stewart about it. 

In that respect, it reminds me a bit of Sunbasket. That meal kit service also tries to keep the integrity of the original recipes they’ve created and while it might not please everyone, I think it pays off in the end for those who appreciate good food.

Who is Marley Spoon good for?

This is one of the best meal kit services for foodies and experienced cooks looking to shake up their weeknight dinner rotation. If you’re looking for interesting new recipes that are both gourmet and approachable, Martha Stewart’s meal kits are a good pick. It’s also a solid choice for a home cook who’s looking to hone new skills or work with new ingredients. 

A lot of the recipes are kid-friendly, so these meal kits would also work well for families of up to four people. And with as many as seven plant-based recipes each week, this is a good meal kit service for vegans, vegetarians or those trying to sprinkle in a few more non-meat dinners per week.

Who is Martha Stewart & Marley Spoon not good for?

If you’re an extremely picky eater, a very new cook, or are trying to keep a gluten-free diet, I would not suggest this meal kit. It’s also not a good meal delivery service if you’re simply looking to get dinner on the table each week and don’t care about the cooking process, since some of the recipes are involved.

Packaging and environmental friendliness 

I found Martha Stewart & Marley Spoon to be on the eco-friendly side of the meal kit spectrum. There was some single-use plastic waste, as there always is, but nothing excessive — and the ingredients were not individually packed in disposable bags as of 2025. The boxes, coolers and ice packs were also recyclable.

Changing, skipping or canceling your meal kit order

Between the website and mobile app, Marley Spoon makes it very easy to skip weeks, change out recipes or pause your subscription. Any changes must be made six days prior to the delivery date.

The final verdict on Martha Stewart & Marley Spoon

Being a Martha Stewart-conceived meal kit project, I had lofty expectations for this service and it mostly met them. When I flip through the menu each week, it boasts one of the highest percentages of recipes that make me go “ooh, that sounds good” right up there with Sunbasket. Most importantly, all the recipes we made delivered on the promise of a tasty and interesting meal. There wasn’t much blah factor, and we very much appreciate that.

The meal kit service also includes some thoughtful touches that others don’t, like quick ingredient explainers for new chefs and different chefs behind some of the recipes. The produce, meats and fish were also some of the freshest we’d received from a meal kit service and that goes a long way in creating a truly delicious dinner. The pricing is fair for what you get, and if you’re cooking for a large group, it actually gets rather affordable per serving. The market add-ons have also grown over the years.

If you’ve been wanting to try a meal kit service with a range of healthy, hearty and comforting meals and you already have the cooking basics down, I’d say give Martha’s meals a whirl.