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YouTube Is Expanding Its AI Search to Be More Like Google’s

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Platforms like YouTube have used machine learning tech for years to build your social media feeds. Now, in the age of generative AI, YouTube is building on that technological foundation and introducing a new way to use AI to build custom video feeds, the company announced at Made on YouTube on Wednesday.

You will soon be able to build multiple custom feeds of recommended videos by prompting YouTube like you would a chatbot, using plain language. So you can have feeds dedicated to specific subjects, like photography or college football, and YouTube creates dedicated tabs on your homepage for each feed. This will be rolling out across desktop, TV and mobile in the US next month.

YouTube’s experimental Ask YouTube tool lets you search for videos with AI, and it’s expanding its capabilities. Now, if you search for information about a new product, like the new iPhone Duo, the Ask YouTube AI can compile information from videos and outside sources. It uses that information to build comparison tables, among other things. You can click on a video that the tool surfaces and continue asking questions on the video’s watch page.

It is somewhat similar to how a chatbot can search the web for information, compile it and cite its sources. But similar to the decline in traffic that digital publishers have seen with the rise of generative AI, there is a risk that YouTube’s AI-enhanced search may eliminate the need for people to click on video links and consume original content.

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“Our goal is to connect viewers with the right video faster. With Ask YouTube, we expect watch time to remain steady or improve,” a YouTube spokesperson told CNET. Other AI features, such as chapters and AI-generated summaries, “showed no negative impact on watch time; instead, they helped retain viewers.” Videos included in the AI search’s answers will “prominently display the video title and channel name,” the spokesperson said.

The AI takeover of YouTube has been an ongoing project for its parent company, Google, in recent years. While creators have been using AI to edit and create videos, leading to an onslaught of AI slop, the platform has been integrating new tools powered by Google’s Gemini models. Now, YouTube is focusing its AI efforts on personalization, both for viewers and creators, to ultimately keep us scrolling and monetize content. It is also adding Gemini as a content creation assistant to Shorts and the YouTube Create app.

YouTube has been under fire this year as a landmark court decision found that Meta and Google designed their sites to be intentionally addictive to children and teens, harming their mental health. YouTube has denied this, saying it’s a streaming platform, not a social media platform. Many child safety researchers and advocates are worried about social media sites adding more AI features. We’ve already seen how AI features can harm kids, such as in the case of Reuters’ 2025 investigation that found Meta’s AI chatbots on Instagram would engage in sexual and romantic roleplay with children.

Audio Deepfakes Are Here: How to Protect Yourself From AI-Impersonation Scams

Creator-specific tools coming to YouTube

YouTube is introducing a dedicated tool for episodic content, called Shorts series. This will let content creators designate videos as part of a dedicated series, with season and episode numbers. As more content creators are investing in serialized content — think Sydney Jo’s The Group Chat series or microdramas — this tool will allow people to separate and highlight these videos from the rest of their posts. Viewers will be able to more easily find and watch these videos. The series will live on a creator’s page as a playlist. Only creators in YouTube’s partner program will have access at launch, available on web, mobile and TV.

YouTube is also offering creators two new ways to personalize content for their viewers. Creators will be able to test multiple thumbnails and preview clips for their videos. YouTube will serve the video to real viewers, and depending on each thumbnail and video cut’s performance, it will match a viewer with the version YouTube thinks they will be most likely to click on. This kind of personalization is a key part of AI’s promise for digital marketers.

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Auto dubbing, or real-time audio translation, will be available for livestreams, starting with English and Spanish, with plans to expand to additional languages in the future. YouTube is also expanding how creators can monetize their content with a new affiliate partnership with Amazon.

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Disney+ and Hulu add to the growing trend of streaming inflation

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Streaming is getting more expensive again. Disney is the latest media giant to raise prices for its streaming services, adding to a growing pattern across the industry. The increases come roughly a year after Disney’s last major streaming price hike.

Disney is raising the price of its ad-free Disney+ and Hulu bundle to $21.99 a month, up from $19.99, whereas the ad-free stand-alone plans are each rising to $21.49 per month, up from $18.99. The company is also increasing the price of its stand-alone ad-supported Disney+ and Hulu plans to $12.49 a month. 

The new prices are reflected on Disney+’s support page. Bloomberg was the first to report the changes. 

Disney+ and Hulu are hardly alone. Streaming companies have spent the past several years steadily increasing prices. Peacock and Apple TV also raised prices in August, while Netflix increased prices earlier this year.

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When Disney+ launched in 2019, its basic monthly subscription cost $6.99. Since then, the service has gradually moved further away from that intro price as Disney has tried to turn streaming into a profitable part of its entertainment business.

The latest increases come as streaming remains an increasingly important part of Disney’s overall business. In its third-quarter 2026 results, Disney said entertainment streaming revenue from Disney+ and Hulu rose 11% to $5.5 billion, driven by subscriber growth and the impact of previous price increases.

At the same time, Disney appears to be exploring new ways to expand its streaming business beyond simply raising subscription prices.

The company has reportedly explored the possibility of introducing a free tier for Disney+. This could put the company in more direct competition with platforms such as YouTube and Tubi, which have been capturing a growing share of consumers’ viewing time.

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Earlier this month, Disney+ also introduced “Playlists,” a new feature designed to help users discover and continuously watch curated selections of content.

The company is making changes on the technology side as well. Disney recently hired Karandeep Anand as its first-ever chief technology officer. Anand is the former CEO of Character.AI, a company Disney previously accused of infringing on its intellectual property.

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These popular TP-Link home security cameras could be hacked to spy on you while you sleep, experts warn

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  • Cybersecurity company OPSWAT found a login bypass and a crash bug in TP-Link’s Tapo C200 cameras
  • TP-Link has extended that to include its C120 offering too
  • Anyone on the same network could get admin access, live video, and recordings without requiring the owner’s credentials

Security researchers at OPSWAT have detailed two high-severity flaws in TP-Link’s Tapo C200, a pan-and-tilt indoor camera listed on Amazon for $26.99 and sold as a baby monitor and pet camera.

The more serious issue is that someone on the same network can log in as the camera’s administrator without the password, accessing the live feed and stored recordings.

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Elon Said Fighting CSAM Was “Priority #1.” A NY Times Reporter With A Script Found 75 Known Images.

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from the hey-boss dept

When Elon first took over Twitter with grand plans to “bring back free speech,” I tried to help him run through the standard content moderation learning curve that basically every site created by a clueless tech bro runs through. They all start with “we’re the free speech site, we allow everything!” and very quickly someone points out that “everything” includes blatantly illegal child sexual abuse material (CSAM). I’ve since been told by multiple former X employees that Elon definitely saw that article and… absolutely hated it.

Anyway, soon after that Elon announced that “removing child exploitation is priority #1,” though also suggested people point out CSAM in replies to him if they saw it (which is not how that should be done at all, since it would just point more people to CSAM).

A post from Elon Musk (@elonmusk) stating, "Removing child exploitation is priority #1. Please reply in comments if you see anything that Twitter needs to address," dated November 23, 2022.

There was also little to no evidence that stopping CSAM was actually “priority #1” seeing that he fired most of the trust & safety team so that at one point there were fewer than 10 specialists working on CSAM. This caused X’s attempts at stopping CSAM to completely fall apart, with experts in the space seeing plenty of evidence that the problem was growing on the platform, rather than shrinking. It probably didn’t help that Musk personally intervened to reinstate the banned account of a conspiracy theorist he really liked after that conspiracy theorist posted one of the most infamous, and most horrifying CSAM images known to authorities.

Of course, that was in the early days. One would hope that a few years further up the learning curve, he’d have learned something. But this is Elon we’re talking about. Last year there was a report that one of the major tool providers for CSAM detection, Thorn, had cut off X, because Elon refused to pay the bill. At the time, X responded angrily to anyone asking about the Thorn situation by claiming that they had put in place their own, better technology to spot CSAM.

How’s that going? Not too well, according to the NY Times, which worked with the Canadian Center for Child Protection to scan X for known abuse imagery. The report covers two separate findings, both of which are alarming. First, there have been obviously lots of reports (and a growing number of lawsuits) regarding claims of Grok producing CSAM. Much of the early reporting, though, didn’t clearly distinguish between actual CSAM and images that are still horrifying and problematic, but probably don’t legally qualify as CSAM.

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However, the Canadian Center for Child Protection is certainly able to determine what is actual CSAM, and they were able to find dozens of images that Grok created that appeared to qualify:

In December and January, Grok’s X account produced millions of images of people with their clothing removed in response to prompts from users. After a public outcry, X said it would halt the account from producing those images.

Later, the Canadian center found 65 instances in which Grok created sexualized or exploitative images of children before X halted the bot. During that time frame, users also prompted the chatbot to edit clothed photos of known victims of childhood sexual abuse and depict them in lingerie or bikinis.

Equally as concerning, though, was that the NY Times was able to use PhotoDNA, the baseline tool that many web services use to identify known CSAM via hash matching, and found even more examples this year:

The Times conducted its own scan for child sexual abuse material on X by writing an automated computer program that searched for related terms without displaying the images, which are illegal to view. Links to the images were sent to a Microsoft service that checked whether they were included on lists of known abusive material compiled by the National Center for Missing and Exploited Children and other child safety groups. Matches were verified by analysts at the Canadian Center for Child Protection.

The Times found more than 75 images between January and June. The program The Times wrote reported the images to the authorities. The images were removed, but some had been viewed hundreds of times.

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This matters because stopping CSAM is a never-ending game of whac-a-mole when it comes to new material. But, for the most part, that’s not true for old material. PhotoDNA and a few similar offerings have gotten quite good at catching the set of “known” images that circulate over and over, and blocking those before they ever hit a site is baseline competency in trust & safety. These images should never have made it to the site, let alone “viewed hundreds of times.”

One explicit photo The Times’s automated program found on X, which has been known to authorities for at least seven years, showed a young girl with fluid on her face being raped orally. The post of the photo, which advertised the sale of similar illegal content, was publicly available for over an hour in March and received 16 likes and nine reposts from other users before The Times found and reported it.

The person depicted in the image, now an adult, said in an interview that she believed X profited from her abuse and further victimized her by not stopping the image from being shared.

“They’re getting benefits from my abuse, and it just feels like it’s never going to stop,” the woman said of X. She spoke on the condition of anonymity because she has been stalked by people who viewed images of her abuse online. “I get angry that I’m still having to go through this decades later, and that there doesn’t seem to be real-life consequences for people.”

The whole joke in that speedrun piece from four years ago was that Level One lasts about five minutes. You announce that anything goes, someone points out that “everything” includes CSAM, and you quickly learn how to start fighting CSAM — because that’s the one bit of content moderation that everyone agrees on. And the easiest version of that, catching the known images via hash-matching, has had obvious battle tested tooling for years. Elon chose not to use them, insisting he’d built something better himself (perhaps with Grok?). Yet, what he built appears to have been outperformed by a NY Times reporter with a script and access to the PhotoDNA API.

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Four years in, and Elon still hasn’t cleared Level One of the curve. Yikes.

Filed Under: csam, elon musk, photodna

Companies: spacex, twitter, x, xai

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The old cybersecurity model is breaking

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As concern over AI safety and rogue agents continue to make headlines, it’s no surprise that cybersecurity stocks are rising, or that investors are pouring massive amounts of capital into startups trying to build the next generation of security for an AI-native world. We’re even seeing companies like Instinct and Simile bring in nine-figure checks and valuations that wouldn’t have made sense a few years ago. 

With a front row seat to it all is Shardul Shah, a partner at Index Ventures who’s spent nearly two decades investing in cybersecurity and enterprise software — including six consecutive rounds in cloud security startup Wiz, which Google acquired for $32 billion earlier this year in one of its largest acquisitions ever. 

On this episode of TechCrunch’s Equity podcast, Shah joins Rebecca Bellan to break down why he thinks periodic, human-in-the-loop security can’t keep up anymore, and why Index continues investing in AI-native security companies at stages that once required much more proof. 

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. 

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Parents Guide Kids to Top Engineering Skills In AI Age

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This article is crossposted from IEEE Spectrum’s careers newsletter. Sign up now to get insider tips, expert advice, and practical strategies, written in partnership with tech career development company Parsity and delivered to your inbox for free!

If you have kids, they’re probably back in school right now after the summer break. Mine are too.

My kids range from 9 to 20 years old, and lately I’ve been thinking a lot about what their future careers are going to look like.

Some schools are embracing AI in the classroom. Others are banning it completely. I’m not sure either side has figured out the right answer yet—I’m not sure any of us have.

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What I do know is that AI is already changing how engineers, and nearly every other knowledge worker, does their job. So I’ve been thinking: What skills do I actually want my kids to develop for an AI-augmented workforce?

1. Learn to write

The more I use AI, the more convinced I am that it’s a multiplier, not a substitute.

Give a great researcher AI tools and they can accelerate their research. Give an experienced software engineer the same tools and they can build at an incredible rate. But put those tools in the hands of someone without foundational knowledge and you often get something else you’re used to seeing way too much of: slop.

We’ve all seen the vibe-coded applications that barely work. Our inboxes are filled with emails that sound suspiciously identical. Teachers are reading papers that sound like they were all written by the same person. That “person” has the last name GPT.

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When everyone has access to the same tools, having an actual voice becomes a differentiator.

Ironically, strong writing skills might be MORE important because of AI, not less. Text is still the primary way we communicate with these models, so being able to clearly articulate what you want improves what you get back.

But more importantly, writing teaches you to develop ideas of your own.

AI can help you express your opinion. It shouldn’t manufacture one for you.

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2. Learn to speak

Like written communication, speaking skills are now at a premium—but for a different reason.

We live in a strange moment. We’re more digitally connected than ever, while often feeling increasingly isolated from one another. At the same time, we’re seeing renewed interest in conferences, meetups, communities, and in-person experiences.

When human interaction feels scarce, communication becomes more valuable.

So learn how to explain an idea in front of a room. Learn how to disagree without being disagreeable. Learn how to tell a story. Learn how to listen. Learn how to persuade someone.

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There’s a timeless book, originally published 90 years ago, that teaches these interpersonal skills, and it’s probably more valuable for engineers than another white paper on how neural networks work: How to Win Friends and Influence People.

An AI can generate a presentation for you, but it can’t convincingly deliver it to a skeptical audience. That takes emotional intelligence.

3. Learn to be bored

This might be the hardest one.

We have engineered boredom almost completely out of our lives. There’s always a podcast to listen to, a notification to check, a video to watch, a feed to scroll, or now an AI to talk to.

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Go for a walk without headphones. Eat without looking at a phone. Sit in the car without immediately reaching for something to fill the silence, and let your mind wander.

Because boredom isn’t wasted time. It’s a breeding ground for original ideas.

The danger I worry about isn’t that AI becomes too intelligent, but that we become too willing to outsource the uncomfortable parts of thinking.

The students going back to school today will enter a workforce filled with technology that I couldn’t have imagined when I was their age. I have no idea what the dominant AI model will be by then or even what interacting with a computer will look like.

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That’s exactly why I don’t want to optimize their education around today’s tools. I want them to learn the skills that will outlive the tools.

Write clearly. Speak confidently. Think independently.

And every once in a while, embrace boredom.

—Brian

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Software engineers have entered a new era of code review. The strategies they’re now testing will determine whether AI can actually provide code that’s faster and more reliable when you factor in the review process. If it can, what does that mean for the entry-level engineers who are still learning to code on their own?

Read more here.

In response to a barrage of actions by the U.S. federal government to limit legal immigration, tech companies are adapting their search for top talent. IEEE Spectrum looked into the responses to proposed changes, like higher fees for H-1B visa applications.

Read more here.

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As AI changes the job market and day-to-day work of engineers, young professionals are often told they need to be adaptable. But what does adaptability actually look like in practice? The skill has different definitions depending on who you ask, but with the right mindset and support from leadership, adaptability can help keep you afloat.

Read more here.

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YouTube’s Custom Feeds Give You More Control Over the Algorithm

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My YouTube algorithm is sacred, with years of data about my preferences and viewing history fermenting into whatever videos it picks for my home screen. YouTube’s algorithm, while not perfect, sure knows what I want to see. The current top three videos on my front page are an Apple Watch analysis, a Big Brother season 28 update, and something called “I Lost to the Muppets” from comedian Chris Fleming. Click. Click. Click.

As part of its Made on YouTube event Wednesday, Google released several new features, including a Custom Feeds button for adjusting what videos pop up on your front page. It’s a rare chance for users to directly tweak their algorithmic feed on YouTube, in ways that go beyond just pressing thumbs up on a video or blocking a creator.

To try it out, users can click the Your custom feeds button below the search bar and type a request for the feed they’d like to see. YouTube uses large language models to process your request and whip up a freshly personalized homepage. “I want a rainy Shanghai vibe: café jazz, street food, and vlogs,” read one of my suggested prompts.

Image may contain Photography Body Part Finger Hand Person Electronics and Adult

Courtesy of YouTube

YouTube tested Custom Feeds as an experimental feature earlier this year, before deciding that it was a good fit. The company plans to roll it out soon as an option for all US users, whether viewing on mobile, desktop, or TV.

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“Users are always telling us that they want more control,” says Emily Moxley, YouTube’s vice president of product management. “They want more ability to steer their algorithm. With custom feeds, we’re giving them a natural-language way that they can do that. They can tell us exactly what they want.”

So, I told YouTube exactly what I wanted to see: “Gooey macaroni and cheese recipe videos, Caleb Hearon clip compilations, and crystal singing bowl videos under 15 minutes.” And the feed it generated was exactly that. My perfect zen blend for rotting on the couch after a long day. YouTube suggested potential additions to expand my prompt, like “uploaded this month” and “without talking or commentary.” Not bad.

The Custom Feeds button sits next to other topic tabs below the search bar, like “Music” and “Podcasts.” Experimenting with this tool doesn’t replace your standard homepage, which you can access anytime by clicking the “All” button. Users can save multiple custom feeds.

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Beats 360 vs Apple AirPods Max 2: Which headphones should you get?

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Beats has just unveiled its latest pair of headphones with the Beats 360, but how does it measure up to Apple’s AirPods Max 2?

Beats is part of Apple, and has been since being bought by the company back in 2014, which means choosing between the two for headphones can feel like a difficult task. That’s where we come in.

Although we haven’t reviewed the Beats 360 yet, we have reviewed the AirPods Max 2 and have noted the key differences between the two headphones below. 

Read on to see what’s different with the Beats 360 and whether it stands a chance at making it into our best headphones guide. Or for more on the recent Beats launch, our Beats 360 vs Beats Studio Pro explains what’s new with Beats’ flagship, while I’ve offered my early thoughts on the headphones too.

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Price and Availability

The Beats 360 is available to order now and has an RRP of £299.95. The headphones come in a choice of four colours – Sky, Cloud, Pink and Black – and will include colour-coordinated earcup and headband cushions. 

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SQUIRREL_PLAYLIST_10208788

You can also purchase different coloured earcups and headband cushions separately with Cushion Kits. At the time of writing, you can buy Cushion Kits for just £9.95 directly from Apple, which is £40 less than they’ll usually be.

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The AirPods Max 2 is considerably more expensive in comparison, with an RRP of an eye-watering £499.

SQUIRREL_PLAYLIST_10208393

Beats 360 has interchangeable earcup and headband cushions

One of the biggest design differences between the Beats 360 and AirPods Max 2 is that the 360 has interchangeable earcup and headband cushions. That means alongside the colour-matched cushions that come in the 360’s box, you can buy additional knit cushions in six colours – Black, Cloud, Pink, Sky, Navy and Volt (which is a vibrant yellow), or UltraPlush options in either Black and Cloud. The latter is the same engineered leather that’s found on the Studio Pro.

Beats 360Beats 360

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In comparison, although the AirPods Max 2 comes in a choice between five colours – Blue, Purple, Starlight, Orange and Midnight – you can’t change the earcups or headband.

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Both can be paired with either an Android or iPhone, but the Beats 360 offer Android features

Contrary to popular belief, you can pair the AirPods Max 2 with an Android phone, however you will lose access to Apple features like Siri, Find My and easier pairing. 

Otherwise, thanks to its custom Beats chip, the Beats 360 promises seamless integration across both Apple and Android ecosystems. For example, if you pair the Beats 360 with an iPhone then you’ll benefit from one-touch pairing, Siri, audio sharing, personalised spatial audio with dynamic head tracking and Find My integration. However, pair the Beats 360 with an Android and you’ll see Google Fast Pair, access to Find Hub and audio switch too.

Airpods Max 2 next to an iphone 17 proAirpods Max 2 next to an iphone 17 pro
AirPods Max 2. Image Credit (Trusted Reviews)

Essentially, if you’re an Android user and are torn between the Beats 360 and AirPods Max 2, then the decision is easy, as the Beats 360 offer more features specifically for your Android ecosystem.

Both are fitted with ANC and nine microphones

Both Beats and Apple make pretty hefty claims with regards to their respective flagship headphone’s ANC prowess. While Apple stated that the AirPods Max 2 saw 1.5x better ANC than the original AirPods Max, Beats promise the 360 has the brand’s best ever ANC that’s 1.75x more powerful than the Studio Pro.

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Pink Beats 360 in handPink Beats 360 in hand
Beats 360. Image Credit (Trusted Reviews)

As we’re yet to review the Beats 360, we can’t currently verify this claim. Having said that, in my brief time with the headphones, I was instantly impressed with how well the headphones muted a noisy event – even without playing an audio. With that in mind, we have high hopes for the 360. 

During our time with the AirPods Max 2, we found the headphones did a great job at cancelling noise from public transport and general chatter. While some sounds did creep through, mainly traffic and cars, generally we were impressed with its ANC and found it comparable to some of the best noise cancelling headphones on the market. 

Beats 360 has a Power button and no Digital Crown

One of our biggest annoyances with the AirPods Max 2 is the fact it doesn’t have a dedicated Power button. Instead, you either need to simply leave the AirPods Max 2 untouched for an extended period, or place the headphones into the so-called Smart Case to power them down. It’s such a strange decision, and feels like we’re potentially wasting battery.

Airpods Max 2 in case backAirpods Max 2 in case back
AirPods Max 2 in Smart Case. Image Credit (Trusted Reviews)

Fortunately Beats hasn’t made the same mistake as Apple, with the 360 fitted with easy-to-use controls on the back of each earcup. These controls include a volume rocker and a play/pause button on the right, and a listening mode and a power button on the right. What isn’t included on the Beats 360 is a Digital Crown. 

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Found on the AirPods Max 2, the Digital Crown can be used for multiple features, from volume control and playing or pausing media, to answering calls, using the camera remote feature, accessing Siri and more. It’s useful, but still frustrating that you can’t use it to turn the headphones off.

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Beats 360 promises longer battery

During our time with the AirPods Max 2, we found the headphones matched Apple’s claim of 20 hours of battery between charges. It’s decent, but falls far behind many other over-ear headphones – including the Beats 360.

In fact, the Beats 360 promises to deliver up to 32 hours of battery life between charges while a five minute charge results in an additional hour of playback too. Considering we found the Studio Pro actually surpassed Beats’ battery promise, we have high hopes for the Beats 360.

Early Verdict

Judging by its specs alone (as we haven’t reviewed it yet), the Beats 360 looks like a seriously promising set of headphones. With the promise of Beats’ best ever ANC, a customisable design and longer battery life, the Beats 360 will suit both iPhone and Android users – especially as it has a more affordable price tag too.

That doesn’t mean the AirPods Max 2 isn’t a great choice – in fact, we concluded the headphones to be Apple’s best sounding option. It’s just with a £499 price tag, a fairly pointless case and a below-average battery life, unless you’re a diehard Apple fan, the AirPods Max 2 isn’t the most appealing option on the market.

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Even Americans who use AI every day are worried about it

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People across the world are increasingly turning to AI for everyday tasks, from looking up recipes and doing their homework to researching work projects or making presentations.

But using AI every day doesn’t necessarily mean people are feeling comfortable with its implications for the world: About 68% of Americans who use AI daily are worried about it, according to a new survey conducted by opinion research firm Gallup, and concern about the tech skews even higher among people who use it less frequently.

Coming at a time of intense debate around the dangers of AI, quick developments around AI safety, the implications of AI going rogue, and accusations of anti-competitive behavior, these findings complicate the notion that adoption can serve as a straightforward measure of public enthusiasm for AI.

Commissioned by Microsoft, the Gallup study currently has results from 37 countries, where researchers polled about 1,000 people in each country between April and July. The project will eventually span 140 countries. Notably, India, a large population of tech users, is not currently part of the reported results, nor is Australia and Malaysia.

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The findings appear to put the U.S. at the anxious end of an international chart even as people in other parts of the world expect the technology to improve their lives. According to Gallup, Western countries are most concerned about AI, with the United States leading in anxiety — 74% Americans reported feelings of worry, and only 36% expect AI to mostly help the country.

Other wealthy Western countries showed a similar mix of relatively frequent use and concern. In Canada, for example, 29% of those surveyed reported using AI daily, and of those, more than half expressed concerns about the impact of the technology. Overall, 64% of Canadians aware of AI said it worried them.

They’re likely not imagining it. There’s certainly been a growing wave of discontent around AI, with tech companies laying off hundreds of thousands of employees in order to invest in AI, shrinking entry-level openings, life-ending cases of AI psychosis, and dire warnings from AI leaders like Anthropic CEO Dario Amodei, who have warned that the tech will wipe out jobs en masse.

The survey paints a different picture in the rest of the world, however. In Singapore, which had the highest portion of daily users in the study (46%), more than 80% of those aware about AI expect the tech to improve their everyday lives, and 77% think it’ll help the country. China, where 35% of people report using AI daily, most people expect it to help the country. The story is similar in Israel.

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Still, optimism about AI doesn’t necessarily appear to translate to trust in the tech’s accuracy. According to Gallup, people who use AI daily were generally more trusting of its results, especially in high-adoption countries like Singapore, Israel and China, while less frequent users remain skeptical across the board. In the U.S., only 45% of daily users expressed that level of confidence. Altogether, only 36% (median) of the people surveyed said they trust AI’s results a lot.

Overall, though, Gallup reports that positivity about AI outweighs negative sentiments: In 34 of the 37 countries surveyed, people mostly reported feeling curious about the tech, with a fewer number saying they felt happy or excited. Only about 32% of those surveyed said they felt worried about AI. Positive emotions seem to be most common in China (90%), Singapore (89%) and Kenya (87%).

It’s not clear how much sentiment in some countries, especially China, might have changed since the survey ended in July, as the pace of AI development has lately burgeoned into a matter of international importance. AI safety is one of the major topics on the table for discussion when U.S. President Donald Trump and Chinese Premier Xi Jingping meet on Thursday.

Notably, China’s head of the Ministry of State Security, Chen Yixin, wrote in a recent article that AI will have “a systemic impact on the political and security environment,” and could threaten China’s “political security, institutional security, and ideological security.”

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“One of the clearest findings is that attitudes toward AI are multidimensional. People can be curious about AI, expect it to be beneficial and use it frequently while still being worried about it. Similarly, they can see considerable potential in AI while remaining skeptical about whether the information it provides is accurate,” Pablo Diego-Rosell, senior scientist at Gallup, told TechCrunch.

While the report paints a picture of optimism colored by some concern, it’s nevertheless true that AI worries are increasingly becoming part of public discourse. People who rely on AI for day-to-day tasks may end up supporting tougher rules or resisting its use in hiring, healthcare, education or government. And there’s certainly an argument to be made that training and serving AI models can harm the climate, and their unregulated use can disrupt cybersecurity, diminish content ownership, upset the creative arts fields, or harm data privacy.

At the end of the day, the report suggests that greater exposure alone will not resolve the unease around the technology. Still, given the amount of money that’s being invested, AI will likely continue proliferating even as disputes rage around where it belongs and what limits should be placed around it.

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Geely’s new EV charger hits 2.25 megawatts

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Geely has revealed a fifth-generation charging system peaking at 2,250 kW, which it says takes new Lynk & Co and Zeekr models from 10 to 70% in four minutes and 30 seconds. Under AFIR a charging pool on Europe’s core network must provide 600 kW in total by 2027.

Geely has revealed a fifth-generation Smart Charging System that peaks at 2,250 kW, InsideEVs reported. New versions of the Lynk & Co 10 and Zeekr 001 charge from 10 to 70% in four minutes and 30 seconds, and from 10 to 97% in eight minutes and 40, the company says.

Nothing sold here is close.

The quickest cars on Western markets peak at 400 kW, and the Mercedes-AMG GT four-door will take 600 kW when it arrives. Geely did not say what peak rate its own cars actually reach.

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The rules make the better comparison.

A charging pool on Europe’s core network must provide 400 kW in total by the end of this year under AFIR, rising to 600 kW with two 150 kW points by 2027. One Geely connector is nearly four times that whole site.

The battery claim is the part worth reading.

Geely says an AI system called Xingrui PowerMind predicts cell temperatures and adjusts speed to hold an average of 55 degrees Celsius, with a ceiling of 65. It also claims a lithium-ion pulse restoration technique, using micro pulses to reactivate lithium that plates onto the anode during repeated fast charging.

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Europe starts testing that in November.

Euro 7 takes effect on 29 November and requires a battery to retain 80% of capacity after five years or 100,000 km, and 72% after eight years or 160,000 km. BYD put 350 fast charges into one car in nine days and reported 98.7% retention, which measures cycles rather than calendar years.

Deployment is the other gap.

BYD passed 10,000 Flash chargers in August, wants 20,000 by December and plans 3,000 in Europe, beginning with 300 in the United Kingdom. Each of its connectors delivers up to 1,500 kW. Geely has not said how many chargers it intends to build, or where.

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It owns two European brands.

Geely’s chairman said in April that the group would stop building factories anywhere in the world and use Volvo’s instead. Volvo and Polestar sit in the same group as Zeekr and Lynk & Co. Neither has been offered this charger.

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Craftsman Chris Transforms a Dumpster Window Air Conditioner Into a DIY Geothermal Heat Pump

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DIY Window A/C Geothermal Heat Pump Project
Two thousand feet of half-inch PEX already slept six to eight feet under Craftsman Chris’s yard when his first homemade cooling plan came up short. Four parallel five-hundred-foot slinky loops and a Taco 009 pump pushed water through a heat exchanger in the furnace plenum, yet the dirt had baked in the sun after excavation and the loop stayed warmer than he needed. Direct ground water barely cooled the house. He needed a machine that could pull heat out of indoor air and dump it into that soil instead of into hot summer wind.



Chris ended up with a 14,000 BTU LG Dual Inverter window unit that he fished from a dumpster. After cleaning the coils with Simple Green and a fin brush, and then washing them with soapy water, he was able to free up the condenser fan without touching any of the copper piping. He then moved the outdoor coil roughly 90 degrees without damaging a single copper line, ensuring that the refrigerant remained sealed. A little of scrap sheet metal and a MIG welder came in helpful for creating a water jacket around the coil, and to make it all work, he rigged up the ground-loop water to feed in at the top, surround the condenser, and exit at the bottom into the underground PEX tubing.

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DIY Window A/C to Geothermal Heat Pump Project
Keeping the sealed circuit intact was important since he never cut any tubing or vented the refrigerant, thus the compressor and valves continued to function properly. Of course, new problems arose anyhow. For one reason, oil might accumulate at the new low point of the spun coil, starving the compressor. Then there was the issue of uninsulated aluminum on the water jacket absorbing extra heat, as well as air bubbles requiring a long time to purge. I suppose the final nail in the coffin was that the safety plug on the original power cord wouldn’t reset, so he had to temporarily replace the power cord end. Nonetheless, none of these concerns prevented him from running the test.

DIY Window A/C to Geothermal Heat Pump Project
The control system for the device remained fairly rough, almost as beat up as the tank. He set together an old programmable logic controller and a linear actuator to hit the stock power button whenever the thermostat signaled for cooling. Not exactly a beautiful interface, but rather a production remnant that looks like it belongs on a plant floor and is being used to click a single button on a thermostat. The water flow rate through the jacket was around 3.3 gallons per minute, utilizing the same Taco pump that already serves the loops.

DIY Window A/C to Geothermal Heat Pump Project
The first true run produced somewhat better results than the previous plenum-only setup. The air leaving the unit was between 49 and 54 degrees. He detected a temperature split of 26.5 degrees, which is fairly good. Water entering and leaving the underground loops varied by barely 3 to 5 degrees, but the jacket itself typically reached the upper 70s or low 80s. As an extra benefit, the cool air was actually making its way upstairs into the main living area. The next topic on the agenda is whether a single window unit and 2,000 feet of piping in the backyard can keep the entire house cool all summer.
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