Threads now has more than 400 million monthly active users. But who are these people who are actually using Threads, asks Mashable? And what is their cultural footprint? Threads is the Big Bang Theory of social media. Bland, boring, largely unoffensive, and somehow, it was the most popular show on television for years... At any given time, "Twitter" and "X" are searched somewhere between 12 and 30 times more than "Threads" on Google, according to the search engine's Trends data. Threads is a popular platform without much of an identity...

[Threads] is consistently good at one thing users really want from a social media platform: for their posts to be seen and engaged with. Threads might be boring in comparison to its competitors, but its users say it might be the only place on the internet right now where they don't feel they are screaming into the void.... Much like TikTok, you don't actually have to have thousands of followers to find decent engagement on the app. One user, commenting in a Reddit forum questioning who actually uses the app, said they "find it worthwhile" because "you can just say stuff on there under a tag and people will find it and respond...." According to consumer research company GWI, while users signed up for Threads because of its integration with Instagram, they're staying because Threads users are "community-focused," noting there's a strong overlap between Discord users and Threads users....

It just doesn't have the same flair as X or Twitter, which could be because Adam Mosseri, the head of Instagram, went out of his way to ensure politics was downplayed when Threads first launched. (Meta has since backtracked slightly by phasing "civic content" back into Threads "with a more personalized approach....") Threads is still in its adolescence. It lacks the media ecosystem that made Twitter indispensable for journalists, politicians, and celebrities. But it has something else: sheer scale and Meta's backing. With Instagram's 2 billion users as a feeder system, Meta can keep funneling people toward Threads whether they like it or not.
The article also points out Threads is integrated with the fediverse, supporting ActivityPub's decentralized protocol...

The Washington Post looks at the rise of low-effort, high-volume "AI slop" videos: The major social media platforms, scared of driving viewers away, have tried to crack down on slop accounts, using AI tools of their own to detect and flag videos they believe were synthetically made. YouTube last month said it would demonetize creators for "inauthentic" and "mass-produced" content. But the systems are imperfect, and the creators can easily spin up new accounts — or just push their AI tools to pump out videos similar to the banned ones, dodging attempts to snuff them out.
One place where they're coming from... Jiaru Tang, a researcher at the Queensland University of Technology who recently interviewed creators in China, said AI video has become one of the hottest new income opportunities there for workers in the internet's underbelly, who previously made money writing fake news articles or running spam accounts. Many university students, stay-at-home moms and the recently unemployed now see AI video as a kind of gig work, like driving an Uber. The average small creator she interviewed did their day jobs and then, at night, "spent two to three hours making AI-slop money," she said. A few she spoke with made $2,000 to $3,000 a month at it.
But the article provides other examples of the "wild cottage industry of AI-video makers, enticed by the possibility of infinite creation for minimal work"

• A 31-year-old loan officer in eastern Idaho first went viral in June "with an AI-generated video on TikTok in which a fake but lifelike old man talked about soiling himself. Within two weeks, he had used AI to pump out 91 more, mostly showing fake street interviews and jokes about fat people to an audience that has surged past 180,000 followers..." (He told the Post the videos earn him about $5,000 a month through TikTok's creator program.)

• "To stand out, some creators have built AI-generated influencers with lives a viewer can follow along. 'Why does everybody think I'm AI? ... I'm a human being, just like you guys,' says the AI woman in one since-removed TikTok video, which was watched more than 1 million times."

• One AI-generated video a dog biting a woman's face off (revealing a salad) received a quarter of a billion views.

Google has released (PDF) a new analysis of its AI's environmental impact, showing that it has cut the energy use of AI text queries by a factor of 33 over the past year. Each prompt now consumes about 0.24 watt-hours -- the equivalent of watching nine seconds of TV. An anonymous reader shares an excerpt from an Ars Technica article: "We estimate the median Gemini Apps text prompt uses 0.24 watt-hours of energy, emits 0.03 grams of carbon dioxide equivalent (gCO2e), and consumes 0.26 milliliters (or about five drops) of water," they conclude. To put that in context, they estimate that the energy use is similar to about nine seconds of TV viewing. The bad news is that the volume of requests is undoubtedly very high. The company has chosen to execute an AI operation with every single search request, a compute demand that simply didn't exist a couple of years ago. So, while the individual impact is small, the cumulative cost is likely to be considerable.

The good news? Just a year ago, it would have been far, far worse. Some of this is just down to circumstances. With the boom in solar power in the US and elsewhere, it has gotten easier for Google to arrange for renewable power. As a result, the carbon emissions per unit of energy consumed saw a 1.4x reduction over the past year. But the biggest wins have been on the software side, where different approaches have led to a 33x reduction in energy consumed per prompt.

The Google team describes a number of optimizations the company has made that contribute to this. One is an approach termed Mixture-of-Experts, which involves figuring out how to only activate the portion of an AI model needed to handle specific requests, which can drop computational needs by a factor of 10 to 100. They've developed a number of compact versions of their main model, which also reduce the computational load. Data center management also plays a role, as the company can make sure that any active hardware is fully utilized, while allowing the rest to stay in a low-power state.

The other thing is that Google designs its own custom AI accelerators, and it architects the software that runs on them, allowing it to optimize both sides of the hardware/software divide to operate well with each other. That's especially critical given that activity on the AI accelerators accounts for over half of the total energy use of a query. Google also has lots of experience running efficient data centers that carries over to the experience with AI. The result of all this is that it estimates that the energy consumption of a typical text query has gone down by 33x in the last year alone.

Google has signed a six-year cloud computing deal with Meta worth over $10 billion, making it the second major partnership after a recent agreement with OpenAI. The deal will see Meta rely on Google Cloud's infrastructure to support its massive AI data center buildout, as the company ramps up capital spending into the tens of billions. The Information (paywalled) first reported the deal.

Apple is in early discussions about using Google Gemini to power a revamped version of the Siri voice assistant, marking a key potential step toward outsourcing more of its artificial intelligence technology. From a report: The iPhone maker recently approached Alphabet's Google to explore building a custom AI model that would serve as the foundation of the new Siri next year, according to people familiar with he matter. Google has started training a model that could run on Apple's servers, said the people, who asked not to be identified because the discussions are private.

The work is part of an effort to catch up in generative AI, a field where the company arrived late and then struggled to gain traction. Earlier this year, Apple also explored partnerships with Anthropic and OpenAI, weighing whether Claude or ChatGPT could serve as Siri's new brain. Apple is still several weeks away from making a decision on whether to continue using internal models for Siri or move to a partner. And it hasn't yet determined who that partner may be.

BrianFagioli writes: Google is preparing to bring its television platforms in line with the rest of Android. Starting August 1, 2026, both Google TV and Android TV will require app updates that include native code to provide 64-bit support. The move follows similar requirements for phones and tablets, and it paves the way for upcoming 64-bit TV devices.

An anonymous reader shares a report: As it tries to unseat Google, OpenAI is relying on search data from an unlikely source: Google. OpenAI has been using Google search results scraped from the web to help power ChatGPT responses, according to two people with knowledge of it.

The Google search data helps answer ChatGPT queries on current events, such as news, sports and equity markets, one of the people said. OpenAI is getting the data from SerpApi, an eight-year-old web-scraping firm, which listed OpenAI as a customer on its website as recently as May last year. It removed the reference for reasons that couldn't be learned.

Professional services firms are engineering AI agents through massive prompt documents to automate complex knowledge work. KPMG Australia developed a 100-page prompt that transforms tax legislation and partner expertise into an agent producing comprehensive tax advice within 24 hours rather than the traditional two-week timeline.

The TaxBot searches distributed internal documents and Australian tax code to generate 25-page draft reports after collecting four to five inputs from tax agents. Chief Digital Officer John Munnelly said the system operates on KPMG Workbench, a global platform combining retrieval-augmented generation with models from OpenAI, Microsoft, Google, Anthropic, and Meta.

Google's Android 16 QPR2 beta 1 is rolling out with new customization features, including the ability to force dark mode and icon themes on apps that don't support them. The update also adds enhanced parental controls, better data migration, PDF editing, and Bluetooth audio sharing, with a full release expected in December. The Verge reports: The beta includes a new dark theme option that will "intelligently invert the UI of apps that appear light despite users having selected the dark theme" when enabled, according to Google's announcement, forcibly making apps that don't natively support the feature to appear darker. Google says this is "largely intended as an accessibility feature" for users with low vision or photosensitivity, and will also automatically darken app splash screens and adjust status bar colors to match the darker theming.

Another feature will allow users to forcibly apply themed icon colors to apps that don't natively support them. Android's icon theming currently only works if app developers have provided a monochrome version of their app icon that can be adjusted, which is annoying for users who want to apply a consistent aesthetic across their entire home page. Auto-themed app icons spare developers from adding this capability manually, removing the hassle for users to customize their phone's theme. The full list of features in the QPR2 beta 1 update can be found on the Android developers' blog.

Google is rolling out AI Mode in Search to 180 countries, expanding beyond the US, UK, and India, with even more countries being added soon. The search giant is also expanding its AI Mode's agentic capabilities, so you can now use natural language to find restaurant reservations. Engadget reports: Google says you can ask about getting a dinner reservation with conditions such as group size, date, location and your preference of cuisine, all of which be taken into consideration when AI Mode pulls in its results from across the web. Suggestions will be presented in list form with the available reservation slots. It'll also provide a link to the booking page you need. Google also plans to add local service appointments and event ticketing capabilities soon, with Ticketmaster and StubHub among its partners.

AI Mode leverages Google's web-browsing AI agent Project Mariner' its direct partners on Search and resources like Knowledge Graph and Google Maps when prompted to find you somewhere to eat. It has partnered with the likes of OpenTable, Resy and Tock to incorporate as many restaurants as possible and streamline the booking process. Right now, this feature is exclusive to those subscribed to the wildly expensive Google AI Ultra plan in the US, and can be accessed through its Labs platform. If you opt into the AI Mode experiment it can also remember your previous conversations and searches to give you results that more closely match your preferences.

Phone manufacturers rarely acknowledge that IP68 water resistance degrades over time, but Google has broken that silence with advertising disclaimers for its Pixel 10 Pro Fold. The fine print explicitly warns that water and dust protection "will diminish or be lost over time due to normal wear and tear, device repair, disassembly or damage." The company further notes that liquid damage voids warranties despite IP68 certification at manufacture.

An anonymous reader quotes a report from Adweek: Meta wanted advertisers to believe its ecommerce ad product, Shops ads, was outperforming the competition, per a whistleblower complaint filed in a U.K. court. The former employee alleges the social media giant artificially inflated return on ad spend (ROAS) by counting shipping fees as revenue, subsidizing bids in ad auctions, and applying undisclosed discounts. The complaint, viewed by ADWEEK, was filed with the London Central Employment Tribunal on Wednesday (August 20) by Samujjal Purkayastha, a former product manager on Meta's Shops ads team. The document claims Meta artificially inflated performance metrics to push brands toward its fledgling ecommerce ad product.

The company's motivation, the complaint says, was in part to combat Apple's 2021 privacy changes that cut the troves of iOS tracking information that had long powered Meta's ad machine. Meta's former chief financial officer (CFO), David Wehner, said the changes would cost "on the order of $10 billion" in losses during the company's Q4 2021 earnings call. User purchases on Facebook or Instagram Shops pages would provide more first-party data, however. Purkayastha, who joined Meta (then Facebook) in 2020 as a product manager on the Facebook Artificial Intelligence Applied Research team, was reassigned to the Shops Ads team in March 2022 and remained at the company until Feb. 19, 2025, when he was terminated.

He alleged that during internal reviews in early 2024, Meta data scientists found the return on ad spend (ROAS) from Shops ads had been inflated between 17% and 19%. This discrepancy stemmed from Meta counting shipping fees and taxes as part of a sale, even though that money never went to merchants, he alleged. The company's other ad products exclude those figures, in line with competitors like Google, the complaint reads. Without including the fees and taxes, Shops ads performed no better than Meta's traditional ads, Purkayastha claimed. "This was significant," the complaint reads. "In addition to the ROAS performance metric being overstated by nearly a fifth, it meant that, rather than having exceeded our primary target, the Shops Ads team had in fact missed it once the figure was reduced to take account of the artificial inflation." Purkayastha raised these concerns with senior leadership in multiple meetings between 2022 and 2024, and is now seeking interim relief through his employment tribunal filing to have his former position reinstated.

A Meta spokesperson told ADWEEK the company is "actively defending these proceedings," adding that "allegations related to the integrity of our advertising practices are without merit and we have full confidence in our performance review processes."

Google, TVA, and Kairos Power are teaming up to power data centers with advanced nuclear energy through a collaboration in Oak Ridge, Tennessee. The project aims to deliver 50 MW of nuclear energy by 2030. From a blog post: Today we announced the first deployment of Kairos Power's advanced nuclear reactor -- the Hermes 2 Plant in Oak Ridge, Tennessee -- through a new power purchase agreement (PPA) between Kairos Power and Tennessee Valley Authority (TVA). Marking the first purchase of electricity from an advanced GEN IV reactor by a U.S. utility, this agreement will enable 50 megawatts (MW) of nuclear energy on TVA's grid that powers our data centers in Montgomery County, Tennessee and Jackson County, Alabama.

Last October, we began a long-term collaboration with Kairos Power to unlock up to 500 MW of nuclear power for the U.S. electricity system through multiple deployments of their small modular reactor. With this next step, we are creating a three-party solution where energy customers, utilities, and technology developers work together to advance new technologies that can help meet the world's growing energy needs with reliable, affordable capacity.

Here's how it works: TVA will purchase electricity from Kairos Power's Hermes 2 plant, scheduled to begin operations in 2030. In this initial phase of the collaboration, we will procure clean energy attributes from the plant through TVA to help power our data centers in the region with locally sourced clean energy, every hour of every day.

An anonymous reader quotes a report from The Verge's Victoria Song: The original Pixel Watch was late to the game. For years, there had been rumors of a Google smartwatch that never materialized. Then, when it finally arrived, it was a quintessential first-gen device, with thicc bezels, dismal battery life, and a host of quirks that needed ironing out. My DMs were full of people wondering when the watch would be unceremoniously dumped into Google's infamous product graveyard. A part of me wondered if Google was going to spend the next decade playing catch-up. Fast forward to 2025, and I'm holding the Pixel Watch 4 at Google's office in New York City. On the surface (and my wrist), it doesn't look like much has changed. But after fiddling with a few menus, watching some demos, and talking over the updates, it's evident that Google has a clear vision about where smartwatches are going. [...]

Starting with hardware, the Pixel Watch 4 has a new domed "Actua 360" display -- as in, the display itself, not just the glass, is also domed. What this translates to is about 10 percent more visible screen space, 15 percent thinner bezels, and a 50 percent increase in maximum brightness to 3,000 nits. On a table, there's a lineup of the Pixel Watch 2, 3, and 4 with the flashlight app turned on. Side-by-side, the improvements are striking. Material 3 Expressive in Wear OS 6also helps emphasize the Pixel Watch's roundness. (No squircles here, folks.) The widgets have more rounded edges, and each screen has been redesigned to be more glanceable, fitting more complications. It's not Liquid Glass, but there are subtle animations when flitting through menus that call your attention to the Pixel Watch's rain droplet-inspired design. Altogether, it's a design tweak that makes senseandis aesthetically pleasing. Google also says battery life has improved. The 41mm watch gets an estimated 30 hours on a single charge, while the 45mm gets 40 hours. That can stretch up to two days in battery saver mode for the smaller watch and three days for the larger one. I couldn't test that at a hands-on, but I did get to see the improved fast charging in action.

As with theGalaxy Watch 8, Gemini has a big presence on the Pixel Watch 4. It replaces Google Assistant and is capable of more complex queries -- even if none have been able to blow my mind yet. But, in a bid to make interacting with Gemini as smooth as possible, the speaker and haptic engines have also been updated so you can hear and interact more easily. There's also a new raise-to-talk gesture that lets you speak to Gemini without having to use the wake word. The processor has been upgraded to the Snapdragon W5 Gen 2 to enable more on-device AI features, as well, like smart replies. On the Pixel Watch 4, you'll get more smart reply options to texts that refer to the content of your conversations. They're not confined to the default Messages app, either. But the major AI update this time around is a Gemini-powered health coach that's slated to arrive alongside a revamped Fitbit app in October. ... The gist is the health coach will act more like a personal trainer than a Captain Obvious summary generator. If you sleep poorly, it'll adjust workout suggestions. (This is also why Google is also introducing an improved sleep algorithm.) You can tell it that you've been injured, and that too will be taken into consideration when generating weekly fitness plans. [...]

Another big first is the Satellite SOS mode. If you're without your phone and in a remote area with no signal, you can still call emergency services. (So long as you have the LTE version of the watch.) The big thing here is that there's no extra subscription cost. The watch will also feature more accurate dual-frequency GPS -- a nice update given that I've had issues with the Pixel Watch's GPS maps in the past. The Pixel Watch 4 is priced at $349.99 and is available for pre-order now.

Two Harvard dropouts are launching Halo X, a $249 pair of AI-powered smart glasses that continuously listen, record, and transcribe conversations while displaying real-time information to the wearer. "Our goal is to make glasses that make you super intelligent the moment you put them on," said AnhPhu Nguyen, co-founder of Halo. Co-founder Caine Ardayfio said the glasses "give you infinite memory."

"The AI listens to every conversation you have and uses that knowledge to tell you what to say ... kinda like IRL Cluely," Ardayfio told TechCrunch. "If somebody says a complex word or asks you a question, like, 'What's 37 to the third power?' or something like that, then it'll pop up on the glasses." From the report: Ardayfio and Nguyen have raised $1 million to develop the glasses, led by Pillar VC, with support from Soma Capital, Village Global, and Morningside Venture. The glasses will be priced at $249 and will be available for preorder starting Wednesday. Ardayfio called the glasses "the first real step towards vibe thinking."

The two Ivy League dropouts, who have since moved into their own version of the Hacker Hostel in the San Francisco Bay Area, recently caused a stir after developing a facial-recognition app for Meta's smart Ray-Ban glasses to prove that the tech could be used to dox people. As a potential early competitor to Meta's smart glasses, Ardayfio said Meta, given its history of security and privacy scandals, had to rein in its product in ways that Halo can ultimately capitalize on. [...]

For now, Halo X glasses only have a display and a microphone, but no camera, although the two are exploring the possibility of adding it to a future model. Users still need to have their smartphones handy to help power the glasses and get "real time info prompts and answers to questions," per Nguyen. The glasses, which are manufactured by another company that the startup didn't name, are tethered to an accompanying app on the owner's phone, where the glasses essentially outsource the computing since they don't have enough power to do it on the device itself. Under the hood, the smart glasses use Google's Gemini and Perplexity as its chatbot engine, according to the two co-founders. Gemini is better for math and reasoning, whereas they use Perplexity to scrape the internet, they said.

Google announced Gemini for Home, a new AI-powered voice assistant that will replace Google Assistant on Nest smart speakers and displays starting in October. Powered by Gemini's advanced reasoning and conversational capabilities, it promises more natural interactions, complex task handling, and features like Gemini Live for back-and-forth conversations. The Verge reports: According to a blog post by Anish Kattukaran, chief product officer of Google Home and Nest, using Gemini for Home will "feel fundamentally new." He says the new voice assistant leverages the "advanced reasoning, inference and search capabilities" of Google's AI models, along with adaptations for the home that allow for more natural interactions to complete more complex tasks. In short, it should be an assistant that can better understand context, nuance, and intention -- a complete change from its predecessor.

For example, Kattukaran says Gemini for Home can accurately respond to requests like "turn off the lights everywhere except my bedroom," "play that song from this year's summer blockbuster about race cars," or "set a timer for perfectly blanched broccoli." It will also create lists, calendar entries, and reminders more easily than before, he says.

Another big upgrade is that Gemini Live will be part of Gemini for Home, bringing more conversational back-and-forth voice interactions to Google Home without needing to repeatedly say "Hey Google." Kattukaran says this will allow for more detailed and personalized help -- from cooking ("I have spinach, eggs, cream cheese, and smoked salmon in the fridge. Help me make a delicious meal") to brainstorming how to buy a new car or figuring out how to fix your dishwasher, as well as more creative tasks like generating bedtime stories. [...] Google hasn't announced pricing for the paid tier of Gemini for Home, but Gemini Live, with its more advanced capabilities, is a likely candidate for a premium plan.

Google announced its Pixel 10 smartphone lineup today, introducing the Tensor G5 processor and Qi2 magnetic wireless charging across four models priced from $799 to $1,799. The base Pixel 10 adds a 5x telephoto lens for the first time at $799. The Pixel 10 Pro maintains its $999 starting price in a 6.3-inch size while the Pro XL starts at $1,199 for the 6.8-inch variant.

The $1,799 Pixel 10 Pro Fold becomes the first foldable phone to achieve IP68 water and dust resistance through a redesigned gearless hinge. All models feature 3,000-nit peak brightness displays, Android 16, and Google's Material 3 Expressive interface redesign. The Tensor G5 enables on-device AI features including Magic Cue for contextual information retrieval and Camera Coach for photography guidance. Pro models gain 100x hybrid zoom capabilities through computational photography. Preorders begin today for August 28 availability, except the Pro Fold which ships October 9.

Google's AI Overviews has returned fraudulent customer service phone numbers in multiple reported incidents.

A Reddit user reported their friend received a fake number when searching "Swiggy [an Indian food delivery firm] customer care number," leading to attempted screen-sharing and money request scams. Facebook user Alex Rivlin encountered scammers after searching "royal caribbean customer service phone number 24 hours usa." The fraudulent representative requested credit card information before Rivlin detected the scam. Google said it is "aware" of the issue and has "taken action" against identified numbers. The company stated it is working to "improve results."

The GenAI Divide: State of AI in Business 2025, a new report published by MIT's NANDA initiative, reveals that while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat. Fortune: Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research -- based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments -- paints a clear divide between success stories and stalled projects.

To unpack these findings, I spoke with Aditya Challapally, the lead author of the report, and a research contributor to project NANDA at MIT. "Some large companies' pilots and younger startups are really excelling with generative AI," Challapally said. Startups led by 19- or 20-year-olds, for example, "have seen revenues jump from zero to $20 million in a year," he said. "It's because they pick one pain point, execute well, and partner smartly with companies who use their tools," he added.

But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the "learning gap" for both tools and organizations. While executives often blame regulation or model performance, MIT's research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don't learn from or adapt to workflows, Challapally explained.

Epic Games CEO Tim Sweeney told the Financial Times that the UK Competition and Markets Authority's December decision to delay mandating alternative app stores on iPhones was a "blunder" that leaves Britain "well behind" other jurisdictions.

The CMA postponed until next year whether to require Apple to allow third-party app stores or sideloading, unlike the EU's Digital Markets Act. Fortnite remains unavailable on UK iOS devices following Epic's years-long dispute over Apple's 30% commission fees. The regulator said it would prioritize forcing Apple and Google to allow alternative payment systems.