Birdbuddy’s next-generation astute animal feeders have eventually arrived. After spending a few days alongside the BirdBuddy Nook (from $99) and longer alongside the flagship Birdbuddy Home ($219), there’s a apparent winner: The Nook is the ideal all-rounder, fair the correct blend of technology, nature, and value to bring you delightful scenes from the lives of your backyard birds.

But — and this is a pigeon-sized but — the new camera on the two the Nook and the Home is a bit of a downgrade compared to the Birdbuddy Pro ($339, but frequently on transaction for less). It has slightly worse viewing angles, the 2K HDR depiction norm isn’t as keen or bright, and you now have to eliminate the entire feeder to accusation it.

On the affirmative side, you can now rotate the new camera to grasp a wide-angle 135-degree landscape view. The live nourish loads much faster in the Birdbuddy app gratitude to a new instant wake-up feature. In testing, the livestream appeared in under eight seconds, compared to concerning 30 on the Pro. That’s the difference between seeing a animal up near in genuine period and observing its rear feathers fly away.

For those unfamiliar, astute animal feeders use an AI-powered camera to grasp photos and videos of visiting feathered allies (and the occasional unwanted furry beast). First announced at CES in January under distinct names, the Birdbuddy Nook and Birdbuddy Home prosecute the company’s hugely prosperous Birdbuddy (2022) and Birdbuddy Pro (2024).

They have entirely new designs featuring the new camera, but the header characteristic is that the two are additional affordable than the Pro, which Birdbuddy has now discontinued. (It’s currently marketing for $239.99 on Amazon.) New tech that’s cheaper? In 2026? Bravo, Birdbuddy.

Birdbuddy’s new camera is the biggest change, but it comes alongside several compromises. As you can see in the videos below, the new picture manner has a slightly narrower perspective of the feeder than the Pro, so during you get close-ups, the bird’s visage can get cut off if it’s position on the border of the feeder.

In the new landscape manner (which the Pro doesn’t offer), the perspective cuts off the kernel tray. So, during you get a wider perspective that’s improved for seeing additional animal activity, you no longer see the nourish tray — resulting in additional feathers but small up-close faces.

Despite the reduced viewpoint and small vivid color, the camera is motionless extremely good; the images are apparent and colorful, alongside plentifulness of detail, and the business says it’s optimized for improved act and low-light shots — although I haven’t seen that in my testing.

I additionally really akin the landscape option; it’s among the reasons I enjoyed the Coolfly example I tested before this year. While picture gives you an close up-close look, landscape captures additional of the scene, including birds in escape and interacting. (You have to manually alter the angles by repositioning the camera; you can’t do it through the app.)

A montage of videos from the Home (blue tray/red perch) and the Nook (green tray/white perch) in picture and landscape views.

Birdbuddy’s outstanding app shows you the videos and photos the camera captures in a fun “feed,” anywhere you can scroll through all your backyard visitors and manually initiate free, AI-powered category identification.

To have the app automatically acknowledge birds, you need a subscription ($7.99 a duration or $69.99 a year), which additionally lets you name returning visitors and put silly augmented-reality hats on them, which was a lot additional fun than I expected.

Birdbuddy’s acknowledgment has been extremely fine overall, although I’ve noticed the new camera struggles to acknowledge several smaller, faster birds compared to the Pro.

While the camera is the identical on the Home and Nook, the feeders differ. The easiest way to sum this up is maintenance. The Home is additional hands-off: it holds six cups of kernel compared to fair under four on the Nook, has built-in solar, so you won’t have to obtain it downward to accusation as often, and supports 5 GHz Wi-Fi, during the Nook is lone 2.4 GHz. The Home is additionally slightly bigger, alongside a larger kernel tray, so it may diagram larger birds.

In supplement to the $99 basis model, the Nook has two models alongside add-ons that bring it nearer to the Home feature-wise: Nook Solar for $159 (with lone one panel compared to two on the Home), and the Nook Extended Edition for $199, alongside sun-related and a perch extender to modify additional visitors (you can buy the perch separately for $43). That’s the example I’m testing, but it’s fair $20 small than the Home. If you’re tempted by those upgrades, I’d rod alongside the Home for its larger kernel capability and two sun-related panels.

The Nook is thrown as improved for balconies and small spaces, whereas the Home is improved for bigger yards. And I get that. The Nook is smaller, alongside a smaller perch and a smaller kernel tray than the Home. But in my few days alongside it in my big backyard, the Nook’s improved value strikes out the Home’s convenience upgrades.

Also — and this could be its killer characteristic — the Nook completely foiled my squirrels. Its smaller kernel tray and perch appear to create it harder for them to balance (even harder if you don’t add the extended perch). I have a video anywhere you can comprehend them trying to clamber onto it and giving up, whereas they got downward to meal in the Home alongside its deeper kernel tray. (However, your squirrel mileage may vary!)

Birdbuddy had a different rollout for the Home (originally called Birdbuddy 2), releasing it to existing customers through its app a few months ago in what felt akin a beta test. It seems there were a lot of kinks to activity out.

When I installed the Home before this year, I initially had difficulty alongside Wi-Fi connectivity and power division life. But firmware updates appear to have fixed most of it. This summer, following one update, the Home’s power division lasted about three months; I lone had to recharge it following a duration of overcast days.

I had no Wi-Fi connectivity issues alongside the Nook, and the two models paired to the app much faster than the Pro. I’ve lone had the Nook for a few days, so it’s too first to fairness power division life. However, recharging the two devices is additional engaged than alongside the Pro since you have to eliminate the complete camera housing, which sits inner the animal kernel compartment. It’s easier to fair eliminate the entire feeder and obtain it inside.

The fine news is that the Home is much easier to refill alongside birdseed without spilling it everyplace than the Pro is, gratitude to a wider mouth and larger reservoir. The Nook is equal easier, since you obtain the complete rooftop off to add kernel — though, again, this requires removing it from its perch. You can pole-mount or suspend the two devices using the included hardware.

One issue I have noticed alongside the new designs is that the rooftop on the two no longer completely covers the kernel tray, as it does alongside the Pro. This lets in additional ray for the camera, but it additionally method the kernel gets wetter whenever it rains.

If you are looking for your archetypal astute animal feeder, or for a awesome holiday current for your nature-loving companion or family member, the Nook is an uncomplicated buy. Upgrade to the Home if you really don’t akin refilling kernel and recharging batteries. If you desire to add sun-related to the Nook, buy that up forefront — you can’t currently acquisition the sun-related rooftop as an accessory.

If you’re an existing Birdbuddy user, there are two reasons to upgrade from the Pro. First, if you’re having any issues alongside missed videos or dilatory livestream loading. Both new models burden faster and grasp video additional reliably. Second, power division life. I had to accusation the Pro all brace of weeks, equal alongside solar. The Home got three months.

Today, I wouldn’t propose purchasing a Pro, equal if you can discover one. While I favor its picture camera viewpoint and it has slightly improved video quality, the connectivity and power division existence of the new models are value those compromises. I’d fairly see additional birds additional frequently than a bit additional of a animal small often.

Birdbuddy Home ($219), Nook ($99), and Nook Solar ($159) are accessible now at mybirdbuddy.com and container next month. The Nook Solar and Nook Extended Edition ($199) will be accessible at Target, Best Buy, and Walmart afterward this month.

Photos, video, and screenshots by Jennifer Pattison Tuohy / The Verge

On Tesla’s earnings call Wednesday, CEO Elon Musk announced that the business had begun first manufacturing of its humanoid robot on its high-volume row in Fremont, California. Then he laid out what motionless needs work: the robot’s hands, its safety, reliability, and durability, and the synthetic intellect needed to create it a productive tool.

“There’s motionless fairly a lot of activity to do alongside regard to the AI and the robot for it to be really helpful for open-ended tasks,” Musk said.

These are significant caveats for a merchandise slated for quantity production. Musk expects the pieces to arrive together about the end of 2027, whenever Tesla could commencement delivering Optimus to exterior companies, but didn’t say which or what exactly the robots would do for them. In the meantime, Tesla needs to build a fleet of robots that can custom tasks and create training data, afterward nourish what they study rear into the system. It additionally needs to merge a new part that Musk says volition provision the robots far additional computing power.

Tesla called the machines coming off the Fremont row its archetypal “production-quality bots” and stated its manufacturing procedure was suitable for a business product. But the business did not disclose how many robots it has produced, what tasks they can currently execute autonomously, or how frequently they can complete the tasks without individual intervention. The notice marks a stage toward manufacturing Optimus at scale, not evidence that Tesla has a robot prepared to do equal the first jobs Musk envisions — dangerous, repetitive manufacturing activity performed about the clock — let solitary rotate into the general-purpose family device he ultimately imagines.

“You can create them, but the application is lacking,” Ken Goldberg, a robotics prof at the University of California, Berkeley, told The Verge. “If you have a lot of hardware without the software, I think that’s a big problem.”

Musk himself spent much of his conversation of Optimus explaining why investors shouldn’t anticipate completed robots to immediately spill out of the factory. Production volition prosecute an S-curve, he said, alongside a slow, bumpy beginning. “There’s akin 10,000 things that have to go correct for manufacturing of the robot,” Musk said, “and it volition move as accelerated as the slowest.”

Most of the equipment for a row intended to create a myriad robots annually is already in Fremont, according to Musk. But reaching a charge of 20,000 robots a week volition obtain “at smallest a year, perchance a small longer,” he said.

“There’s motionless parts of the scheme that are changing,” Musk said. “You’ve got to basically build up an complete gigantic earth provision sequence and have domestically a very, extremely big factory, and everything has got to work.”

Those manufacturing challenges are lone one part of the unfinished work.

A robot that can often execute a carefully defined project has a distinct job from a general-purpose humanoid expected to modify to varied objects and surroundings. Musk described manufacturing applications as the archetypal market for Optimus, alongside at-home purchases coming as the robot develops a much wider range of capabilities.

Optimus is “going to do akin 1,000 times additional things than a car would do,” Musk said.

Some of Goldberg’s additional pessimistic colleagues think a really helpful humanoid robot is motionless 25 years away, he said. Goldberg believes the site volition resolve its hardest problems — including reliability, speed, and dexterity — sooner than that. But equal he doesn’t anticipate them to be solved on Musk’s timeline.

Robots have rotate into adept at walking, running, and jumping, Goldberg said, but dexterity remains much harder. Manipulating elastic materials, specified as wires and fabric, or assembling products is incredibly difficult; doing it quickly and reliably adequate for genuine activity is harder still.

“I’ve been operating on these problems for 40 years,” Goldberg said. “I don’t think they’re going to be solved in the next twelvemonth or two.”

Musk acknowledged that Tesla is ramping manufacturing before resolving Optimus’ chief hardware problem: its hands. “We’re construction robots that do not have perfected hands,” he said.

Unlike individual hands, robot hands can’t heal themselves. Yet they must withstand repeated use during remaining gentle adequate to grip susceptible objects without damaging their sensors. “What an amazing item the individual hand is at the end of the day,” Musk said.

Durability is a difficulty for the remainder of the robot, too. “It can’t, like, deteriorate out following a month,” Musk said.

Closing the application gap volition necessitate training data Tesla doesn’t yet have. Unlike its cars, Optimus has no huge installed basis from which the business can collect information. Musk stated Tesla hence needs to build approximately 10,000 to 20,000 robots to custom tasks at what he called “Optimus Academy.”

“With Optimus, we have to bootstrap it by making the robots and having them do self-play, which is really how a individual learns to navigate the world,” Musk said. He compared the procedure to a toddler gradually mastering increasingly complex skills. “Eventually, they study to rub their own ass, which is a big milestone,” Musk said. “And afterward they study to peruse and do all sorts of things.”

Goldberg described learning through self-play as a assumption whose achievement in application doesn’t established that it volition activity as fine in bodily hardware. “When you enter hardware, it’s not so clear,” he said.

Tesla is additionally waiting on hardware that has yet to be integrated. Musk stated he hopes to put the company’s AI5 part into Optimus about April 2027, providing approximately 10 times the computing power of AI4. He expects the new chip, improved software, and mechanical refinements to arrive together before client deliveries.

If all that works, Musk expects Optimus volition eventually have a hand in its own production. “The Optimus robots volition build the forthcoming Optimus robots,” he said, describing a self-reinforcing manufacturing iteration that would develop “extremely fast.”

“At several point, there volition be additional humanoid robots on Earth than there are humans,” Musk predicted.

Before then, Musk promised a video inside a duration or two showing Optimus performing tasks that aren’t preprogrammed. He criticized humanoid demonstrations that appearance notable but wouldn’t translate into helpful real-world performance. “If you really try to use that humanoid robot in the genuine world, you would have a lot of trouble,” he said. “It wouldn’t work, basically.”

Goldberg calls the issue “video emptor.” A video power display the one prosperous attempt out of a thousand, he said, conceal a individual controlling the robot offscreen, or depend on a exactly arranged setting. In robotics labs, project achievement rates have stalled at about 70 to 80 percent, Goldberg said. “That’s not satisfactory for genuine industry.”

Musk remains convinced Optimus volition rotate into “the biggest merchandise on Earth.” While Tesla’s notice brings it nearer to manufacturing Optimus in ample numbers, construction a robot customers can depend on – and really use – remains a distinct milestone.

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Using an AI delegate to shop for you is a different experience. Tech companies have marketed them as individual assistants — the democratizing of labor that ordinarily would lone be accessible to the affluent and powerful. In practice, at smallest for purchasing things, it’s additional akin sending an concerned and apologetic adolescent out to the store: They necessitate an inordinate amount of instructions and specifications, run into specialized problems regularly, and arrive rear alongside solutions that are not exactly what you asked for. They did, technically speaking, complete a task, fair not the particular one you asked them to, and frequently not in the way you would have approached it.

Meta, Google, OpenAI, and others have all introduced several type of agentic buying tools that commitment to create purchasing things equal easier than it already is. Demos display AI agents that can seamlessly publish flights and hotels, browse billions of products to discover the correct one, and safe tickets to sporting events on a human’s behalf. But as AI companies — and their users — are finding out, purchasing things requires that the another gathering is consenting to market them in the archetypal place.

The most notable example of a retailer or assistance provider refusing to let an AI delegate in has been Amazon. The retailing elephantine sued Perplexity, alongside Amazon saying the AI business had ignored its requests to halt its delegate from buying on the site. More recently, Amazon blocked Meta’s Muse delegate from buying on Amazon. E-commerce sites aren’t the lone platforms walling off agents: JPMorgan Chase CEO Jamie Dimon stated the financial institution wouldn’t authorize exterior agents to admission accounts, saying it was “too risky” for clients and the company, and several users study they’ve been unable to use agents to publish trips from providers akin Delta and Amtrak. AI agents can additionally get caught in the web of broad bot blocking systems, definition that equal if a location doesn’t have a covering ban, existing firewalls can create agents inconsistent — and by extension, small helpful for the types of tasks tech companies tout as the future.

Even without difficult blocks, agents’ admission to retailers is spotty. For example, Muse, which I instructed to appearance for a particular visage moisturizer, was caught in Target’s bot inspect one day but was capable to get through the next. It suggested a listing from a market sequence that doesn’t container to my location whenever I searched for the finest cost on granola bars. When I asked for mattress recommendations under a certain cost point, Muse was formerly again blocked by Target, notwithstanding being capable to drag from the location fair a few minutes prior.

How prosperous an delegate is at accessing a location may depend on how it went concerning the project and what safeguards are in place, Target spokesman Loni Monroe told The Verge in an email. (Target has AI buying partnerships alongside OpenAI, Google, and Microsoft.) Agents may be capable to admission one part of the location but not another, as a way to defend client data and the buying experience. In addition, Monroe stated that Target has safeguards preventing unauthorized agents and bots from accessing client accounts and initiating transactions on a human’s behalf.

The deficiency of Amazon options inside agents is additionally unattainable to ignore. Sometimes, the agents volition say as much: When I asked Muse to discover the finest per-piece granola bar price, it offered options from Sam’s Club, Walmart, and Costco, but acknowledged a big caveat: Amazon power have had the lowest-priced option, but it was hard-blocked from browsing, so Muse couldn’t confirm. Between waiting for a response, directing Muse to hunt for additional sites, and clarifying that a West Coast-based retailer wouldn’t container to New York, it apt would have been faster to hunt myself. It additionally explains why agentic AI companies would really akin to have Amazon on commission — and why Amazon is so fiercely protective of how customers shop on its platform. It’s not that Amazon is against robots buying in location of humans — the business has its own on-platform agentic buying feature that monitors prices, automatically reorders items, and purchases products according to rules set by individual users. Another characteristic that uses an delegate to acquisition products from another sites without leaving Amazon angered smaller businesses, who say they didn’t consent to having their storefronts scraped and featured on Amazon.

Amazon spokesman Maxine Tagay confirmed that the business “requested that Meta eliminate Amazon” from Muse.

“We think it’s fairly straightforward that third-party applications that recommendation to create purchases on behalf of customers from another businesses should run openly and regard assistance provider decisions concerning whether or not to participate,” Tagay stated in an email.

It’s one item for agents to recommendation comically spotty, disjointed services — but it’s another, possibly additional frustrating cognition whenever they really do work, since of the implications for humans. In command to test a buying project that I really would akin to automate, I unleashed Muse on The RealReal, a secondhand luxury manner retailer. As secondhand buying has exploded in popularity, buying on The RealReal has gotten increasingly competitive, so much so that the business sells a $12-per-month subscription allowing shoppers to get first admission to new items. On The RealReal, part of the buying procedure is zero-sum: Placing an item in your cart reserves it for you for 20 minutes, making it unattainable for another group to rub it. I instructed my Muse delegate to bulk-add all 10 of the newest listings from a favorite brand to my cart, efficiently blocking another shoppers from purchasing them before I got the chance to assessment the latest selections. I had no aim of purchasing any of these items, but I prompted Muse to keep re-adding the items to my buying bag all period the 20-minute clasp had expired. On and on this went, all day (I eventually ended the task).

If I were a small honest, pure-hearted person, I would deploy an delegate to run this personalized, technically allowed reserve scheme endlessly. But as I watched the items continuously pop rear into my cart, exasperation inundated my psyche — on behalf of the another shoppers curious in these items, but additionally for my forthcoming self, who may shortly be competing alongside person else’s delegate doing this identical thing. Perhaps I already am.

The RealReal sees AI agents as an opportunity, and is investing in its own AI-powered services during protecting the integrity of the platform, chief innovation authoritative Luke Friang told The Verge in an email.

“Our method is to remain open to third-party AI agents, allowing them to browse, log in and engage alongside our marketplace, during maintaining safeguards against automated action that could disrupt the client experience,” Friang said.

To be sure, normal online buying can be tedious, too — the endless gathering of options on the web can create finding the correct item awareness akin looking for a needle in a haystack. Agentic buying is the inverse: It’s akin looking at the earth through a pinhole. If I don’t akin the five options Muse has curated for me, I must ask it to discover five more, and on and on. I must provision the delegate particular parameters and rules, and develop and tweak them as needed, small by little. A additional rote project akin finding the complete lowest cost on a merchandise you already cognize you desire is anywhere an delegate could be really useful. Without Amazon, though, equal that feels akin the project was carried out alongside incomplete information.

If you have preferences concerning exactly item you expend prosperity on — the price, the come back policy, the shipping rates, the ethical standards of a company, the cloth construction — an delegate is fair another being to province those preferences to. With the period and patience for hand-holding, Muse could assistance deepen a hunt for item specific: For example, I uploaded photos to Muse of a vintage attire I’ve been hunting for, alongside alongside the particular twelvemonth it’s from, a catalog of keywords connected alongside it, notes concerning akin items, and secondhand platforms to commencement searches on. Muse could not discover the attire for transaction anywhere, but it did vigilant me to an upcoming auction of items from the identical brand.

In an email, Meta spokesman Tracy Clayton emphasized the partnerships the business has forged alongside retailers and the authority individual users have complete the agent’s actions.

“Importantly, users can obtain complete at any time, Muse is designed to continually ask approval before buying, and it applies ethical browsing principles whenever asked to do things that a individual could not - akin purchasing all the tickets to an event,” Clayton said. “The reply from retailers has been overwhelmingly positive, and we appearance onward to operating alongside them as we continue to develop Muse and enhance the purchasing experience.”

There’s another item that nags at me no matter how lengthy I tinker alongside agentic shopping: The joy and thrill of finding is mostly gone. Buying things is an American pastime. We do it in person, online, from strangers on Facebook, and from expert salespeople on livestreams. We buy things we need and we buy things we don’t, things we cognize we desire and the things we’ve never seen until now that have abruptly rotate into extremely important. It’s not a extend to say that for many, buying is a hobby — one that has become solidly entangled alongside another, additional contemporary hobby of scrolling on a phone. We don’t fair desire following matter belongings; we imbue them alongside character markers and social status. Buying things is intensive — in resources, in labor, in emotion. AI companies see this pastime as item that can be optimized. Many group would likely favor that it not be.

Pradershika Sharma is a tech deals author for Lifehacker.

She has a Master’s flat in English Literature, a B.Ed., and a TESOL certification. She has been penning professionally since 2018, creating merchandise reviews, affiliate articles, and hunt ads for earth clients during operating alongside Rubix Agency and Cognizant. Previously, she spent a twelvemonth instruction English at the younger elevated level.

An avid audience since childhood, Pradershika's idea of extreme sports is staying up to peruse “just one additional chapter.” She lives in India.

Homes alongside shedding pets, blended flooring, and low furnishings can quickly disclose the shortcomings of a essential robot vacuum. The Roborock Qrevo CurvX is built to grip those challenges, and it is currently accessible on Amazon for $749.99, downward from $1,499.99. That is a $750 discount, and price trackers additionally signify it is the lowest cost recorded for this model. And during $750 is motionless a significant amount to expend on a cleaning appliance, the discount brings it nearer to midrange example pricing during retaining features normally connected alongside flagship machines.

Roborock Qrevo CurvX

$749.99 at Amazon

$1,499.99 Save $750.00

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Get Deal

$749.99 at Amazon

$1,499.99 Save $750.00

The CurvX earns that higher cost by doing additional than merely vacuuming an open extend of floor—its 22,000 pascals of suction can grip pet hair, crumbs, and debris caught in carpet, during the DuoDivide chief broom guides tress toward the center to decrease tangles. There’s additionally an extendable flank broom that reaches alongside walls and into corners, and a lifting chassis that helps the robot cross rugs, exercise mats, and another raised surfaces without getting stuck. Its mop pads are likewise adaptable, extending toward area edges for improved safety and lifting by up to 17 millimeters complete carpet so the CurvX can move between difficult floors and rugs without dragging a wet mop throughout both.

When it encounters low furniture, its top-mounted LiDAR sensor retracts to decrease the robot’s height to 3.14 inches, allowing it to spotless below most sofas and beds. And formerly the CurvX finishes cleaning, its docking position takes attention of much of the activity that would alternatively autumn to you—it empties the dustbin, refills the h2o tank, washes the mop pads alongside h2o heated to 176 degrees Fahrenheit, and dries them alongside air heated to 113 degrees. It additionally has a dirt sensor that can immediate it to cleanse its mop pads again or reiterate a cleaning continue whenever an area needs additional attention. The Roborock app gives you additional control, allowing you to spotless particular rooms, create schedules, set virtual barriers, and grade areas the robot should avoid, during SmartPlan 2.0 adapts the regular to distinct rooms and flat types.

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Oppo’s Find X10 Pro Max is the archetypal phone alongside a triple 200-megapixel camera, which you’re apt to see as either a masterful feat of engineering or a burden of hyped-up promotion nonsense. The fact is location in the middle.

We’ve seen 200-megapixel cameras in phones before, starting alongside 2022’s Moto X30 Pro. This year’s Vivo X300 Ultra was the archetypal phone to characteristic two of them — alongside 200-megapixel chief and telephoto cameras — and is motionless my favorite camera phone on the market. With the Find X10 Pro Max, Oppo is trying to do one better: It’s the archetypal to use a 200-megapixel ultrawide camera too. Only the selfie camera runs at a additional humble 50 megapixels.

The Find X10 Pro Max’s cameras are excellent, lagging lone a small rearward the company’s top-tier Find X9 Ultra from before this twelvemonth (in Oppo’s merchandise lineup, as alongside rivals Xiaomi and Vivo, Pro Max phones motionless sit fair below its top Ultra models). That’s lone partially gratitude to the megapixel count.

The item of all those megapixels isn’t really to obtain 200-megapixel photos (though you can if you see fit — additional on that later). Instead, akin fair concerning all phone camera from the final few years, Oppo is taking advantage of pixel-binning, which combines multiple nearby pixels into one. This gets you the finest of the two worlds: additional item captured by the small, idiosyncratic pixels and better ray grasp from merging them together.

One of the engaging changes Oppo has made is to really decrease how much binning it uses. While most Android phones grasp photos at 12 or 12.5 megapixels, despite of their sensor resolution, the Find X10 Pro Max defaults to 26 megapixels throughout all three rear lenses, from 0.5x up to 9.9x zoom. That’s a akin resolution to Apple’s top iPhones, which now default to 24-megapixel shots throughout their 48-megapixel sensors, but motionless different for Android.

By default, it method that shots from this phone are additional detailed than on another Android rivals, and improved suited to printing or cropping into. File sizes end up a small larger, of course: The Find X10 Pro Max’s 26-megapixel photos are typically 8 to 12MB, during 12.6-megapixel shots are nearer to 4 to 6MB, although there’s a lot of variation.

Binning to 26 megapixels fairly than 12.6 has an apparent disadvantage beyond retention concerns, though: Less binning method worse ray capture. In most ray conditions that isn’t an issue, though, and the phone is astute adequate to modify whenever it becomes one, automatically dropping to 12.6 megapixels in darker scenes, sacrificing a small item in command to maximize ray whenever it’s in abbreviated supply.

If you need high-resolution shots — or fair desire to power the matter and override the phone’s automatic adjustments — a high-resolution manner lets you fire in either 50 megapixels or the complete 200. Here document size balloons further, alongside 45 to 60MB records at the max resolution, but the 16,384 x 12,288 records are ample and detailed adequate to imprint at several size. To my surprise, I haven’t equal seen much of a autumn in low-light achievement or energetic range from shooting in this mode, although several difference volition be inevitable in the darkest conditions.

The item alongside camera sensors, particularly in a phone, is that resolution is lone one aspect — and not the most important. Sheer size matters more, which is why Oppo’s Find X9 Ultra motionless has an edge. The Find X10 Pro Max’s chief camera uses a 1/1.3-inch-type sensor and an aperture of f/1.5, during its 3x telephoto is a small smaller at 1/1.56 inch, alongside a slower f/2.1 aperture. Both equivalents on the older Ultra phone use larger sensors capable of capturing additional ray equal before pixel-binning kicks in. Only the ultrawide is improved here, alongside the two a higher resolution and a bigger 1/1.56-inch sensor than the Ultra.

But those upgrades to the ultrawide are crucial, since they assistance create this rear camera awareness akin a complete package. There’s no drop-off in resolution throughout the rear lenses, and lone small shifts in sensor size and aperture. That method norm is accordant throughout the cameras, although the colors motionless change a little, item I’d anticipation to see fine-tuned complete time.

Part of the difference apt comes downward to one characteristic you’ll lone discover on the chief camera: what Oppo calls “DeepPix” energetic range. It’s akin innovation to LOFIC, seen on the likes of Xiaomi’s 17 Ultra and the latest Vivo X500 Pro Max, expanding energetic range by capturing additional data from highlights. Here, it enables a 17-stop energetic range on the chief camera, keeping ray sources brilliant and punchy in nighttime scenes without blowing them out entirely. Only a fistful of phones can equivalent this, and none that you can buy in the US.

That’s fair the hardware. Photos are formerly again boosted by tuning from Hasselblad, alongside several of the techniques applied in the dramatic, filmic Hasselblad Master Mode now pulled into the chief camera too, chiefly less-saturated colors and deeper shadows. The Master Mode motionless pushes the consequence additional if you prefer. Eighteen built-in movie simulations authorize additional varied color profiles, and all can be tweaked additional alongside a uncomplicated grid that adjusts spirit and saturation.

Video has its own tricks. All three rear lenses can document at up to 120fps in 4K or 30fps in 8K, and a Pro Video manner lets you use LUTs, document alongside Oppo’s O-Log2 for additional post-production options, and equal fire in open gate, taking complete advantage of the complete sensor.

Oppo’s high-end hardware accessories are rear too. A teleconverter lens can be mounted on top of the telephoto lens for improved long-range photography, during a video accessory kit from Tilta includes cooling, a light, a significant camera grip, tripod mount, polarizing filter, and more.

I haven’t equal spoken concerning the remainder of the phone: a big 7,150mAh power division (even bigger exterior of Europe at 8,000mAh) that lasts two days easy; a MediaTek Dimensity 9600 Pro chipset that hasn’t stuttered once; a 144Hz, 1.5K OLED display alongside 3,600 nits of highest brightness. Perhaps fair as importantly, a scheme that fits all those camera specs into a comparatively humble camera island, alternatively of the colossal circle of lenses that’s rotate into representative on Chinese Ultra phones.

In an costly flagship phone akin this — the Find X10 Pro Max starts from £1,499 / €1,799 (around $2,000) — none of that matters as much as the cameras. Meanwhile, Oppo’s promotion squad would have you accept that in a camera akin this, nothing matters as much as the megapixels.

That’s not entirely true. The Find X10 Pro Max’s camera is really as fine as it is since all three lenses use fairly ample sensors; since the notable Hasselblad color discipline has been additional refined in the default camera mode; since the chief lens has an nearly unprecedented energetic range for a phone. The additional megapixels are the cherry on top.

Photography by Dominic Preston / The Verge

The identified IP addresses contain shared anonymization infrastructure and are not exclusive to this danger activity. Organizations should examine any observations involving these addresses as opposed to blocking.

See how to use AWS Web Application Firewall to assistance decrease your visibility during you place in our blog article Using AWS WAF to use mitigations for PHP2Shell RCE vulnerabilities (CVE-2026-109618 and CVE-2026-109619).

If you have questions, commencement a new thread on AWS re:Post or attain out to AWS Support.

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Google Ads is rolling out three updates to client lifecycle goals to assistance advertisers before the holidays. These three updates contain (1) expanding elevated value manner to Shopping Campaigns, (2) expanding client preservation goals and (3) new percent multipliers.

Google stated these volition assistance alongside your involvement scheme and align it improved alongside your endeavor objectives. This gives advertisers "more exact ways to province how campaigns should get and re-engage customers throughout Performance Max, Shopping, Search, Demand Gen campaigns," Google wrote.

Expanding elevated value manner to Shopping Campaigns

Now rolling out is a new Customer High Value Mode that helps advertisers "find your next finest new customer." Google is extending this feature, which it launched earlier now to Shopping campaigns. In short, High value manner is rolling out this duration in Shopping Campaigns.

Expanding Customer Retention Goals

Google is making preservation goals accessible additional broadly throughout campaigns. Customer Retention Goals are rolling out this duration for Performance Max, Search and Shopping campaigns.

Google stated this helps with:

• To win rear those disengaged customers who have fallen off the radar, use Re-engagement Mode. It allows your campaigns to prioritize customers that haven't placed an command in a while, during motionless operating your ads for your chief mark audience.
• And finally, to concentration your campaigns on these goals, Retention Only Mode lets you run campaigns that are completely dedicated to client retention, lone reaching the key segments of your client basis that you specify.

Here is a video:

Percentage Multipliers

Advertisers can now measure bids proportionally according to possible cart size. "This makes it uncomplicated to bid dynamically for big cart purchases as they would for a smaller cart purchase," Google wrote.

Percentage multipliers volition be rolling out this duration for Search, Shopping, Performance Max, and Demand Gen in the two Google Ads and SA360.

Here is the example stated by Google:

This lets your bids measure naturally alongside the size of the customer's buying cart. For example, Elea's jewelry shop sets a 20% (1.2x) boost; their bids volition measure proportionately, giving them the elasticity to bid fair as aggressively for a $500 cart as they would for a $50 cart. It's a uncomplicated way to justify they bid elevated adequate to district new customers at all command sizes.

Here is the UI for this environment in Google Ads:

Google additionally has this diagram that shows whenever to use which feature:

Forum conversation at X.

There are three new studies out complete the former week that propose that spending time, prosperity and resources on AI visibility and AI hunt may not be value it. In short, the studies all display that AI Search or AI services dispatch a small fraction of traffic (and conversions) whenever compared to Google Search.

In short, AI Search sends nearly no traffic and conversions whenever compared to another traffic drivers on the web.

Here are the studies:

• GEO is a distraction from Marie Haynes
• How Much Traffic Do AI Assistants Actually Send, And Does It Convert Better? from SEO Works
• Does AI run additional straightforward traffic? from Kevin Indig

Marie wrote, "I looked at 12 months of GA4 data throughout 100 distinct websites of varying sizes alongside complete 145 myriad sessions. In this dataset, sessions from ChatGPT amounted to fair 0.62% of the quantity driven by Google organic."

She added, "However, equal although ChatGPT visitors converted at additional than 4.5x the charge of Google integrated visitors, Google motionless drove 96.5% of the total conversions throughout all channels analyzed." Also during ChatGPT visitors converted improved at 13.8% vs 3.02% for Google organic, Google motionless drove 27x additional conversions than all the another LLMs combined.

She showed this visually in this graphic:

SEO Works established that integrated hunt delivered 39 times additional traffic than AI assistants and for all 100 conversions integrated hunt delivered, AI referrals delivered 3.2. It additionally said, "AI referral traffic converts worse against paid hunt (0.67x) and improved against straightforward traffic (2.48x)."

Here is a diagram from SEO Works:

Then Kevin Indig wrote, "I established that the amount of Direct traffic to longtail pages in my example driven by AI is not detectable yet. We additionally can’t yet discover a dependable association between AI Visibility and tagged hunt or straightforward traffic. Some companies alongside outstanding AI growth power be capable to detect this, but throughout 12 sites of distinct sectors and sizes, I couldn’t see it."

Rand Fishkin did a awesome job summing all this up in a video on LinkedIn - current is that video:

Forum conversation at LinkedIn and X.

Google Ads is evaluation showing Sponsored Products results that dynamically develop to display merchandise attributes at the base of the ad units in a gray backdrop color.

This is engaging since I am not certain if we have seen (1) merchandise attributes in Sponsored Products and (2) if so, that they develop dynamically to add the gray backdrop and add those attributes later.

Here is a GIF of this in action:

Here is a fixed depiction showing following the merchandise attributes are added in the gray backdrop at the base of the ad units:

This was archetypal spotted by Sachin Patel who posted concerning this on SEW but he didn't note the expanding part, which is uncomplicated to miss.

Google Ads have tested background colors on buying ads before a few times.

Forum conversation at X.

Back in 2022, Google paused showing ads to users in Russia. That motionless seems to be active, but Google fair posted a new communication in the Google Ads and Merchant Center assistance records that it has "also paused ads on Google properties and networks globally for advertisers based in Russia."

Many of the Google assistance documents added two new boxes to the top, for example on this page Google added these two lines:

• As part of our latest suspension of ads in Russia, we volition additionally intermission ads on Google properties and networks globally for advertisers based in Russia.
• Due to the ongoing war in Ukraine, we volition be temporarily pausing Google ads from serving to users located in Russia.

Here is a screenshot of what was added to the top:

I idea these were all paused and not operating but perchance I confused this, since Google fair posted a new communication four and a fractional years later?

Forum conversation at X.

Eiliko, a adorable robot charm you can suspend on your bag alongside built-in AI conversations, turned out to be a safety nightmare. It told owners that “your secrets are harmless alongside me,” but hackers could effortlessly peruse complete transcripts of everything we told the toy, and that was just the beginning. The Verge and safety investigator Sammy Azdoufal spent complete a duration trying to get in communication alongside the company, including emails to Energize Lab CEO and originator Shaw Yeung. Nobody would answer our questions.

Now, the business is eventually breaking its silence, although its reply leaves item to be desired.

“We have confirmed the center issues identified in your reporting and are addressing all of them,” Energize Lab told The Verge in an unsigned declaration from a generic email address. The business says it volition employ an autonomous safety resolute to completely assessment all of its systems, and has set up a dedicated security@energizelab.com communication email.

The business additionally claims that as of Wednesday, it has “closed all external admission to our backend systems” and “disabled the interface that allowed a robot’s responses to be modified remotely.”

Energize Labs is additionally pledging to “no longer shop conversation records or the person profiles generated from them,” and says it volition delete the conversation records, person profiles, and “avatar images” it has already stored.

Notably, the business isn’t promising to get rid of data gathering for good. “The long-term recollection and tradition avatar features volition not come back until that assessment confirms they are secure,” it writes, suggesting that Energize Lab does scheme to shop several individual data formerly its systems are hardened.

Even additional notably, Energize Labs’ systems are not yet secure. With Azdoufal’s help, I can verify that as of the company’s email, it was still storing audio recordings and photos of its customers at unsecured community web addresses alongside no safety whatsoever. If I gave you a nexus (which I won’t) you could click and immediately be looking at an owner’s face.

Azdoufal additionally tells me he motionless has complete SSH admission to these robots, and that he can motionless theoretically peruse transcripts and modify the toy’s behavior. So whenever Energize Lab says it has “closed all external access,” that doesn’t appear to be accurate.

“We cognize that words solitary volition not acquire that rely back,” Energize Lab tells The Verge. “We average to acquire it through what we do in the coming weeks, and we volition keep you informed as we go.” That appears akin a fine plan, since several of today’s words motionless don’t circle true.

Here is Energize Lab’s complete unsigned declaration to The Verge:

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