Streaming spent a decade telling viewers that the future meant paying only for the services they actually wanted. It has now reached the stage where those services are being bundled back together by the platforms large enough to control discovery, billing and your television home screen.

Beginning in early 2027, eligible U.S. YouTube Premium subscribers will gain access to Peacock Premium within the YouTube experience, combining ad-free YouTube, background playback, downloads and YouTube Music with NBCUniversal’s ad-supported streaming service. The cable bundle did not die. It learned how to recommend reaction videos.

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What YouTube Premium Subscribers Will Receive

The included tier is Peacock Premium, which currently costs $10.99 per month when purchased separately. It includes Peacock Originals, Universal and Focus Features movies, NBC and Bravo programming, and live sports.

NBCUniversal specifically lists NFL football, the Olympics, NBA, MLB, Premier League soccer, WNBA, college football and basketball, golf and the Kentucky Derby among the sports available through the service. Television programming includes Saturday Night Live, Law & Order: SVU, The Office, The Traitors, Love Island USA and The Real Housewives franchise.

The content will be available directly within YouTube rather than requiring subscribers to jump between separate applications. YouTube says it will announce the exact launch date and additional eligibility details over the coming months.

That should make Peacock substantially easier to find and use, particularly on televisions where YouTube is already one of the most frequently opened applications.

It also means millions of existing YouTube Premium subscribers may no longer need a separate Peacock Premium subscription once the bundle launches. Account migration, billing changes and whether existing Peacock profiles or watch histories can be transferred have not been explained.

YouTube Premium Will Be Ad Free Until Peacock Starts

There is one important distinction hiding beneath two uses of the word “Premium.”

YouTube Premium removes advertisements from regular YouTube viewing. Peacock Premium is the ad-supported Peacock tier. Subscribers should therefore expect commercials during Peacock movies, series and live programming even though they are paying for YouTube Premium.

Peacock Premium Plus, currently $16.99 per month, removes most on-demand advertising and adds downloads and access to a live local NBC station. Even that tier retains commercials during live sports, events, linear channels and selected programming.

YouTube says subscribers will have options to upgrade their Peacock membership, but it has not announced upgrade pricing or how that process will work.

Peacock Premium Plus has already been available as a separately purchased YouTube Primetime Channel since June 29. The standard Peacock Premium tier will become available as a separate YouTube add-on later this summer, before it joins eligible YouTube Premium subscriptions in 2027.

What Has Not Been Announced

The companies have not provided a precise launch date beyond early 2027, nor have they confirmed whether every individual, student and family YouTube Premium plan will qualify.

YouTube’s announcement repeatedly refers to “eligible” Premium subscribers. Premium Lite is not mentioned and should not be assumed to include Peacock.

YouTube has also not explained whether Peacock content will stream in 4K HDR, support Dolby Atmos or 5.1 audio, or be available for offline viewing through the YouTube app. Simultaneous stream limits, parental controls, user profiles, watchlist and viewing-history transfers, and access while traveling outside the United States also remain unresolved. The largest financial question is whether adding Peacock will eventually trigger another YouTube Premium price increase, although Google has not announced one.

YouTube has not announced a higher price tied to the partnership. It has also not promised that current subscription pricing will remain unchanged through 2027.

For home theater owners, the lack of video and audio format details is not trivial. Peacock’s streaming quality has varied by device and event, and watching inside YouTube could produce different results from using the native Peacock application. “Seamless access” is useful. It is not a technical specification.

YouTube Premium Is Not YouTube TV

The agreement also extends NBCUniversal’s distribution contract with YouTube TV, ensuring that NBCUniversal’s linear television networks remain available through the live television service. That is a separate part of the deal.

A YouTube Premium subscription will not suddenly become a YouTube TV subscription, and the included Peacock tier does not provide the full collection of live NBCUniversal cable channels.

This distinction will almost certainly confuse people because Google has named three different products YouTube, YouTube Premium and YouTube TV, apparently after concluding that nouns were becoming expensive.

Why Peacock Is Doing This

NBCUniversal describes the agreement as Peacock’s largest wholesale distribution partnership. Instead of relying entirely on direct subscriptions, Peacock gains immediate access to millions of existing YouTube Premium customers and one of the most powerful content discovery platforms on the planet.

That distribution matters as streaming subscriber growth slows and customer acquisition becomes more expensive. Bundles reduce the number of monthly decisions consumers must make and can lower cancellation rates, even when nobody remembers which service is technically charging the credit card.

NBCUniversal gives up some control over billing, viewing data and the direct customer relationship, but Peacock gains scale without having to convince every household to install another application.

Peacock has already pursued similar distribution through Comcast services, Walmart+ and YouTube Primetime Channels. The strategy is clear: place Peacock wherever millions of paying customers already exist and worry less about whether they arrived through the front door.

Why YouTube Is Doing This

YouTube Premium has primarily been sold around four benefits: ad-free YouTube, background playback, offline downloads and YouTube Music.

Peacock gives Google something it has not previously offered inside the standard subscription: a large catalog of studio movies, conventional television series and major live sports.

That makes YouTube Premium more competitive with Amazon Prime, Walmart+ and telecommunications bundles that combine video, shopping, wireless service or other benefits into one monthly payment.

It also pushes YouTube further into the role once occupied by cable and satellite companies. Google is no longer merely hosting video or selling a live television replacement. It is becoming the platform through which other streaming services reach customers.

The Larger Trend

Streaming fragmentation created too many applications, passwords, price increases and monthly decisions. The industry’s solution is increasingly to bundle those services through a larger distributor.

The new gatekeepers are YouTube, Amazon, Apple, Roku, Walmart, Verizon and the remaining cable companies. Viewers may receive better overall value, but the companies controlling the interface, billing relationship and recommendation engine gain enormous leverage over the services inside it.

That does not mean this Peacock deal is bad for consumers. For an existing YouTube Premium subscriber who already pays separately for Peacock Premium, the bundle could eliminate a $10.99 monthly charge while putting the same programming inside an application already installed on almost every television.

But the direction is unmistakable. Streaming is consolidating around a handful of large platforms capable of bundling everyone else.

We cut the cord to escape the package. The package has returned without the coaxial cable.

The Bottom Line

Adding Peacock Premium makes YouTube Premium a much broader entertainment subscription and gives existing members access to a meaningful catalog of movies, television and live sports.

The value proposition is potentially excellent, particularly for subscribers currently paying for both services. The catch is that Peacock Premium remains ad-supported, while upgrade pricing, account migration, technical quality and exact eligibility remain unresolved.

NBCUniversal gains reach. YouTube gains premium programming and live sports. Viewers gain one fewer application to open and one more bundle to explain to someone else in the house.

Streaming promised simplicity. It has finally delivered cable with better search.

For more information: peacocktv.com

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The program, ChatGPT for Academic Researchers, will start with 10,000 participants this summer.

Curiosity has been climbing the broad valley nicknamed Valle Grande for weeks when its cameras locked onto something that stopped the science team cold. On June 11, 2026, the 4,923rd Martian day of the mission, the rover’s Mastcam stitched together eleven frames into a clean panorama of a solitary butte standing roughly 20 feet tall. Mission planners named it Miraflores. A thick layer of dark sand sits on its flat top like a natural crown, while the rock faces below show the slow work of wind and time carving away everything that once surrounded it. That erosion left the butte standing and deepened the valley the rover is now driving through.

From the ground, the vista feels almost uncomfortably personal, as the slope slopes away in all directions, as if blown away by the wind. Dark sand is drawn into every low spot and gradually works its way up the lower slopes. The distant horizon resembles the stratified landscape we’ve been investigating with Curiosity on the lower part of Mount Sharp for over a decade. The ground immediately surrounding Miraflores catches your attention. A never-ending blanket of small many-sided cracks stretches out in every direction the camera can see, with each polygon measuring little more than 3 inches across. The edges of those tiny fissures rise up to form an extremely tight honeycomb pattern that wraps all the way up the sides of the butte.

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The puzzle of how those shapes developed remains, as when the team first noticed them on the trip, they appeared as mud cracks when the wet sand dried out and shriveled away. Other items, however, can leave behind the same pattern. Repeated heating and cooling might cause the surface to break completely. Alternatively, compression on anything still buried can force the water out of the silt, leaving a network of fissures in its wake. Now, teams on Earth are reviewing the measurements and readings from the rover’s instruments to try to narrow it down even more. Then there are the dark pebbles and cobbles sprinkled around the region, which provide an extra depth of mystery to the mix. Some of them could just be bits of higher-up rock that slid down. Others could be impact debris swept up from the side and tossed here, or perhaps meteorites, given the nickel in a few of the samples.

A second, wider 360-degree panorama taken a week later, on sols 4,930 and 4,931, showed the same pattern stretching farther than the rover’s cameras could resolve. Mission scientists had spotted similar geometric shapes in small patches several times before. Never had they found an expanse this large. Project scientist Ashwin Vasavada put the feeling into words: “We’ve seen a lot of fascinating landscapes through Curiosity’s eyes, but this sea of polygons took our breath away. We measured their shapes and chemistry carefully and are hopeful there are clues in the data as to how these features formed.”

If you’ve been patiently waiting for a discount on Apple’s latest earbuds or over-ear headphones, it’s finally here. For a limited time, both the AirPods Pro 3 and AirPods Max 2 are on sale, knocking up to $100 off their regular prices. Whether you want pocketable earbuds for everyday use, premium noise-canceling headphones, or seamless Apple integration, these are some of the best prices I’ve seen since launch. As always with Amazon deals, there’s no telling how long they’ll stick around, so I wouldn’t wait too long if you’ve been planning to upgrade.

For more recommendations, check out our guides to the Best Noise-Canceling Headphones, Best Wireless Earbuds, and the Best Headphones for Working Out.

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Apple AirPods Pro 3 for $200 ($49 Off)

The latest AirPods Pro 3 are Apple’s best AirPods yet. Upgrades include stronger noise canceling, a new acoustic architecture for deeper bass, and redesigned ear tips for a more secure fit. New tools include a built-in heart rate sensor for fitness tracking, live translation, and a camera remote to snap photos or videos on your iPhone. These earbuds are also the first AirPods to be IP57 rated against dust, sweat, and rain.

Right now, they are 20 percent off at Amazon, Target, and Walmart. There’s no telling how long this discount will last, so I’d grab a pair now if they’re on your wish list.

Apple AirPods Max 2 for $449 ($100 Off)

The AirPods Max 2 are arguably the most stylish pair of noise-canceling headphones on the market. The newer H2 chip improves active noise cancellation and transparency mode and enables a suite of intelligent features, including conversation awareness, live translation, and improved Siri interactions. The AirPods Max 2 are designed with a new high-dynamic-range amplifier for deeper bass, more natural vocals, and cleaner highs.

At $549, the AirPods Max 2 can be a tough sell, especially with so many excellent, more affordable alternatives on the market. But $100 off, they’re a lot easier to justify, especially if you want the seamless integration that comes with Apple’s ecosystem. It’s unclear how long this deal will last, so I’d snag a pair sooner rather than later if you’ve been eyeing them.

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It’s one of the most expensive for a reason, and comes with more attachments than any other model. I do find myself regularly grabbing the Fluffy Optic head for vacuuming my hard floors, which cover many square feet of my home. If you’re looking to really splurge on the best vacuum, this is still the one to get.

The only downside is compatibility with Dyson’s bigger attachments, namely a mop head or docking station. It doesn’t have a Submarine option like the V16 or V15, and Dyson’s Auto-empty Dok won’t work with this model. But if you aren’t worried about add-ons, this is the vacuum to buy. It’s had better sales since the launch of the new models, too.

The Runner-Up

The V16 Piston Animal’s powerful 315 air watts of suction did pretty well on almost every test. My only issue with this vacuum compared to the Gen5Detect is that it was more likely to push small debris (in my tests, both sand and litter) into a pile in front of itself if you were vacuuming a large spill. Gen5Detect did better all around, but the V16 Piston Animal stayed close behind that hiccup.

It’s a powerful all-around vacuum with some nice design upgrades to make it a little easier to use. This newer model has a release below the vacuum motor to release the cleaner head without having to bend down, and built-in crevice tools to both the handheld motor and the long wand that makes up the middle of the device. There’s also a compressor to help push dust out of the dustbin, and it’ll be compatible with Dyson’s upcoming self-emptying docking station. There’s also a Submarine version ($1,100) so you can use this vacuum as a mop, too.

It has some nice quality-of-life upgrades, but it’s really expensive. I’d recommend it if you know you also want to invest in the mop head and docking station; otherwise, just get the Gen5Detect.

One of the best overall performers is nearly half the price of my winners. The Dyson V10 Konical never once scored in last place, and was especially comfortable to use on carpets and rugs with the new cleaner head design. It did much better than the more expensive and powerful Gen5Detect and V15 Detect when vacuuming up sand, and I found it more comfortable to push around than the Digital Motorbar head on the V15 and V8 when it came to vacuuming a low-pile rug.

Hugging Face on Monday published a technical timeline that walks readers through how an autonomous AI agent, built on OpenAI models and running inside one of OpenAI’s own cybersecurity evaluations, broke into its systems over more than four days earlier this month. It’s the first security incident about which OpenAI CEO Sam Altman “felt very viscerally,” he has said.

Little wonder given it feels, at least, like something has truly been unleashed here. In fact, Hugging Face’s team prefaced its report by offering that “everyone should be prepared as defenders,” before diving into the nitty gritty of what went down for the benefit of security professionals everywhere.

While the rest of the internet continues trying to make sense of what happened (the jargon in Hugging Face’s report is impossible for most people to parse), one point that many observers keep missing is that this wasn’t a rogue agent disobeying orders. It was a system built to hunt for exploits, doing exactly that, just against the wrong target.

Another way to think about the whole thing is to picture a bear at a campsite. Really. A bear tries tent zippers and car-door handles and coolers and trash lids. It does this at every campsite, all night long, because it knows it needs just one unlocked cooler to fill its belly with some poor schmuck’s groceries.

That’s roughly what happened at Hugging Face. The OpenAI system tried thousands of things and just kept going. Eventually, a handful of those attempts worked, and once they did, the agent plowed ahead. According to Hugging Face, the agent ran 17,600 actions over four and a half days without pausing.

Which brings us back to our bear analogy. Just like one success with a cooler full of food teaches a bear to try even harder next time (it is now a “food-conditioned” bear), one leaked password led OpenAI’s agent to look for more exploits and, eventually, to a single key that unlocked several company systems at once.

Neither scenario is harmless. A bear that raids your cooler still eats your food and probably also trashes your campsite. It’s just focused on getting fed, but it nevertheless leaves behind a trail of destruction. Similarly, OpenAI’s agent was seemingly chasing a goal without regard for anything else. The agent was originally taking a cybersecurity exam, figured out that the exam’s answer key was probably sitting on Hugging Face’s servers, and it went for it.

The persistence here is really what’s noteworthy above all else; the agent had a job and it wasn’t going to stop until it got it done. Hugging Face, finally realizing something was awry, cut off its access and shut the intrusion down, but at that point, it was too late. The agent had already gotten what it came for, and a great deal more to boot.

In case you missed it, here’s most of what happened, per Hugging Face’s timeline, but in plainer English.

• The agent was taking a cybersecurity skills exam for OpenAI, one where an AI is scored on finding and exploiting software bugs. This specific run had the guardrails stripped out. (OpenAI had turned off its usual safety filters to see what the model could do at full strength, with no human involved in any of its individual moves.) Somewhere in there, it figured out the exam’s reference solutions were likely stored on Hugging Face’s servers. So instead of solving the challenge, it stole the answer key from infrastructure that had nothing to do with the original test.

• It escaped the OpenAI exam environment by exploiting an unpatched software flaw that gave it a path to the open internet. From there, it found another AI-testing tool sitting exposed online (nothing to do with Hugging Face), broke into that too, and slipped in code that quietly ran hidden commands the moment the program started. That gave it full control of the machine — its new home base for the rest of the operation that it would use to go after Hugging Face’s systems.
• From that base, it turned to Hugging Face itself. Hugging Face had a filter meant to block suspicious requests from reaching out to the open web, but the filter only checked outgoing requests, not requests to read local files sitting right there on the server. The agent found this blind spot and slipped through it. It uploaded a file disguised as an ordinary dataset, but buried inside was an instruction telling Hugging Face’s own systems to pull passwords and source code off the server and hand them back disguised as normal data.

• That trick got it passwords and code, but the agent still couldn’t run anything on Hugging Face’s servers. To execute commands there, it needed a second way in. It found a different bug in that same Hugging Face system — software would take a piece of text from the agent and accidentally treat it as a command to run instead of just data to read. That gave the agent the ability to execute its own code directly on Hugging Face’s servers.

• For getting commands in and stolen data out, the agent didn’t build any special infrastructure of its own, per Hugging Face. It used tools anyone can access — paste websites and request-logging services, plus Hugging Face’s own upload and proxy features — working together in covert fashion. On top of those, it built a small, improvised messaging system with sequence numbers to keep the pieces in order, plus a quick built-in check to catch anything that arrived corrupted, so it could send multi-step commands and put stolen data back together in the right order.

• It also made sure that nothing traveled in plain sight. Whatever it stole or sent, it scrambled first. Hugging Face’s initial automated scan of the intercepted traffic caught only a small slice of what had been taken. Investigators found the rest — roughly four times more — only after they reverse-engineered the agent’s own scrambling method.
• The agent even had back-up plans, planting copies of itself across 11 different servers, each set up to relaunch on its own so that shutting down one copy wouldn’t stop anything, since more of the agent’s process was already running elsewhere.
• At one point, the agent nabbed the private cryptographic key used to generate valid login tokens. From there, it could mint its own valid credentials whenever it wanted.
• After compromising a single server, the agent got hold of a credential that, because of a misconfiguration on Hugging Face’s end, turned out to unlock several separate internal systems at once rather than just the one it came from. That single mistake handed the agent broad control almost immediately.
• Using stolen repository access, it submitted a change to a build script that, if it had gone through, could have compromised the automated systems running that code. It didn’t work, though. Hugging Face’s safeguards caught it.
• The agent seemed to hold back from doing real damage, Hugging Face observed, but probably not out of restraint. Investigators noticed that every command capable of deleting or altering cloud resources was run in “dry run” mode, meaning it would report what would happen without doing it.
• Every time its test environment reset — which happened constantly, by design — it lost every tool and every trace of its identity. But it rebuilt from nothing and reconnected to its stolen infrastructure each time, for more than four days straight.

Ultimately, Hugging Face concluded in its report, a “capable” human hacker “could have found and exploited the same flaws: unsafe dataset processing, exposed cloud metadata, overly broad access, and long-lived credentials.” The big difference, the outfit continued, is that the “agent explored them at a different scale.”

Which is really where the bear analogy ends up being the most useful. The best defense against a hungry bear is protocol. You put the food away; you use a latch that works well enough to hold. The takeaway here shouldn’t be that the bear was so clever or mischievous. It’s that it never stopped checking. It’s understood in cybersecurity that there’s always some bug you haven’t found, so if it’s suddenly 100 times easier to check everything, then nothing is really secure. That’s what so many find unsettling about this episode.