Enlarge/ Google’s Bay View campus was designed with the world’s strangest roof line.
Google
Google’s swanky new “Bay View” campus apparently has a major problem: bad Wi-Fi. Reuters reports that Google’s first self-designed office building has “been plagued for months by inoperable or, at best, spotty Wi-Fi, according to six people familiar with the matter.” A Google spokesperson confirmed the problems and said the company is working on fixing them.
Bay View opened in May 2022. At launch, Google’s VP of Real Estate & Workplace Services, David Radcliffe, said the site “marks the first time we developed one of our own major campuses, and the process gave us the chance to rethink the very idea of an office.” The result is a wild tent-like structure with a striking roofline made up of swooping square sections. Of course, it’s all made of metal and glass, but the roof shape looks like squares of cloth held up by poles—each square section has high points on the four corners and sags down in the middle. The roof is covered in solar cells and collects rainwater while also letting in natural light, and Google calls it the “Gradient Canopy.”
Enlarge/ We’ll guess the roofline’s multiple parabolic sections are great at scattering the Wi-Fi signal.
Google
All those peaks and parabolic ceiling sections apparently aren’t great for Wi-Fi propagation, with the Reuters report saying that the roof “swallows broadband like the Bermuda Triangle.” Googlers assigned to the building are making do with Ethernet cables, using phones as hotspots, or working outside, where the Wi-Fi is stronger. One anonymous employee told Reuters, “You’d think the world’s leading Internet company would have worked this out.”
Having an office with barely working Wi-Fi sure is awkward for a company pushing a “return to office” plan that includes at least three days a week at Google’s Wi-Fi desert. A Google spokesperson told Reuters the company has already made several improvements and hopes to have a fix in the coming weeks.
Enlarge/ The bigger Pixel 8 Pro gets the latest AI features. The smaller model does not.
Google
If you believe Google’s marketing hype, AI in a phone is really, really important, the best AI is Google’s, and the best place to get that AI is Google’s flagship smartphone, the Pixel 8. We’re five months removed from the launch of the Pixel 8, and that doesn’t seem like a justifiable position anymore: Google says its latest AI models can’t run on the Pixel 8.
Google dropped that news in a Mobile World Congress wrap-up video that was spotted by Mishaal Rahman. At the end of the show in a Q&A session, Googler Terence Zhang, a member of the Gemini-on-Android team, said “[Gemini] Nano will not be coming to the Pixel 8 because of some hardware limitations. It’s currently on the Pixel 8 Pro and very recently available on the Samsung S24 family. It’ll be coming to more high-end devices in the near future.”
That is a wild statement. Gemini is Google’s latest AI model, and it made a big deal of the launch last month. Gemini comes in a few different sizes, and the smallest “Nano” size is specifically designed to run on smartphones as a much-hyped “on-device AI.” The Pixel 8 and Pixel 8 Pro are Google’s flagship smartphones. Google designed the phone and the chip and the AI model and somehow can’t make these things play nice together?
Adding to the weirdness is that Gemini Nano can run on the Pixel 8 Pro but not the smaller Pixel 8 due to “hardware limitations.” What limitations would those be, exactly? The two phones have the exact same Google Tensor SoC. They run the same software. The main differences between the two phones are screen size (6.7 inches versus 6.2), battery size, a different camera loadout, and 8GB of RAM versus 12GB. RAM is the only known difference you can point to that could create a processing limitation, but Gemini Nano also runs on the Galaxy S24 series, where the base model has 8GB of RAM. RAM being the issue would mean Samsung phones are somehow more RAM efficient than Pixel phones, which is hard to believe. If the Pixel 8 Pro Tensor 3 and Pixel 8 Tensor 3 are different somehow, that’s not on the spec sheet.
Five months ago at the Pixel 8 launch event, Google painted a very different picture of the Pixel 8 series: “I’m excited to introduce you to the next evolution of AI in your hand, Google Pixel 8 Pro and Google Pixel 8. Our latest phones bring together so many technologies from across Google. They’re the first phones to use our latest Google Tensor chip. They include the very best Android experience, first-of-its-kind camera experiences, and the latest AI advancements from Google.” Both devices feature the custom Google Tensor 3 SoC that Google claimed was “designed specifically to bring Google’s AI breakthroughs directly to Pixel users and show the world what’s possible.” This custom Google AI-focused design was supposed to deliver “unbelievably helpful experiences that no other phone can.”
Enlarge/ Google’s “Compare” page does not clearly communicate to customers what they’re buying.
Google
When you launch two phones at once, it’s always hard to distinguish what the actual differences between the two models are. Sometimes, the devices get talked about in the plural, while other times “Pixel 8” is used to represent both devices. Sometimes, the more expensive device is singularly mentioned for no reason other than it’s the more expensive flagship. Between the hour-long presentation and private press pre-briefing that Ars was a part of, “What’s the difference” became a pretty well-worn question that was expected to be answered clearly. Usually, the go-to delineator here is the spec sheet, which is expected to spell out in clear language what you’re actually buying. The Google Store has a compare page where you can directly pit the Pixel 8 and Pixel 8 Pro against each other, and nothing spells out a difference in AI processing capabilities or a difference in the Tensor chips.
In the case of the Pixel 8 and Pixel 8 Pro, Google wasn’t clear enough in its communication at launch. Today, though, re-watching the launch presentation with the new knowledge that there is some dramatic difference in AI processing capabilities, you can pick up some language like talk of the “Pixel 8 Pro’s on-device LLM” that you could now interpret as a declaration of exclusive AI capabilities for the Pro model, but that wasn’t clear at the time.
As a consumer, it’s hard not to feel misled, and it’s embarrassing for Google, but to practically care about this, you’d need to know what the heck “Gemini Nano” actually does and why you should care about it. That’s a hard question to answer. Google has a page up here detailing some of the features Gemini Nano powers on the Pixel 8 Pro, but a feature could also be powered by different models on different devices. For what it’s worth, the rundown lists a “summarize” feature for the Google Recorder app and “smart reply” in Gboard. Plenty of Google apps already have a “smart reply” feature without Gemini Nano. Third-party developers can also plug into the onboard Gemini Nano model for their apps, but it’s hard to imagine anyone doing that with such limited device support.
The other option is to just forget about doing all of this AI stuff on-device and just do it in the cloud. As a great example of this, none of this Gemini Nano stuff has anything to do with the Google Gemini Chatbot, which all runs in the cloud. A big question is what this will mean for the smaller Google Pixel 8 going forward. Google promised seven years of OS updates for the new Pixels, and to already be stripping down features due to “hardware limitations” after five months is a disappointment.
Enlarge/ A Google sign stands in front of the building on the sidelines of the opening of the new Google Cloud data center in Hesse, Hanau, opened in October 2023.
On Wednesday, authorities arrested former Google software engineer Linwei Ding in Newark, California, on charges of stealing AI trade secrets from the company. The US Department of Justice alleges that Ding, a Chinese national, committed the theft while secretly working with two China-based companies.
According to the indictment, Ding, who was hired by Google in 2019 and had access to confidential information about the company’s data centers, began uploading hundreds of files into a personal Google Cloud account two years ago.
The trade secrets Ding allegedly copied contained “detailed information about the architecture and functionality of GPU and TPU chips and systems, the software that allows the chips to communicate and execute tasks, and the software that orchestrates thousands of chips into a supercomputer capable of executing at the cutting edge of machine learning and AI technology,” according to the indictment.
Shortly after the alleged theft began, Ding was offered the position of chief technology officer at an early-stage technology company in China that touted its use of AI technology. The company offered him a monthly salary of about $14,800, plus an annual bonus and company stock. Ding reportedly traveled to China, participated in investor meetings, and sought to raise capital for the company.
Investigators reviewed surveillance camera footage that showed another employee scanning Ding’s name badge at the entrance of the building where Ding worked at Google, making him look like he was working from his office when he was actually traveling.
Ding also founded and served as the chief executive of a separate China-based startup company that aspired to train “large AI models powered by supercomputing chips,” according to the indictment. Prosecutors say Ding did not disclose either affiliation to Google, which described him as a junior employee. He resigned from Google on December 26 of last year.
The FBI served a search warrant at Ding’s home in January, seizing his electronic devices and later executing an additional warrant for the contents of his personal accounts. Authorities found more than 500 unique files of confidential information that Ding allegedly stole from Google. The indictment says that Ding copied the files into the Apple Notes application on his Google-issued Apple MacBook, then converted the Apple Notes into PDF files and uploaded them to an external account to evade detection.
“We have strict safeguards to prevent the theft of our confidential commercial information and trade secrets,” Google spokesperson José Castañeda told Ars Technica. “After an investigation, we found that this employee stole numerous documents, and we quickly referred the case to law enforcement. We are grateful to the FBI for helping protect our information and will continue cooperating with them closely.”
Attorney General Merrick Garland announced the case against the 38-year-old at an American Bar Association conference in San Francisco. Ding faces four counts of federal trade secret theft, each carrying a potential sentence of up to 10 years in prison.
Pavlo Gonchar/SOPA Images/LightRocket via Getty Images
Waze, the navigation app owned by Google, is adding some new features. Some of these are safety-oriented, like alerts about first responders or speed limit changes. Others are convenience-minded, like help navigating roundabouts or parking information. It’s also expanding its use of crowdsourcing to determine road conditions.
When Google bought Waze in 2013, the navigation app was already well-liked for adding a slightly social aspect to in-car navigation—something that seems adorably quaint and perhaps unthinkable these 11 years later.
Over the years, Google has slowly incorporated more of Waze’s features into its own Google Maps platform and taken away Waze’s autonomy, too. In 2022, it was formally merged into the same division at Google that runs Maps, and last year, Google laid off some workers and ditched Waze’s own ad platform for Google ads.
Considering Google’s notorious nature when it comes to wielding an axe to much-liked apps or services, it’s fair to wonder how much longer Waze will continue to exist. But despite this existential threat, Waze continues to update and improve its app.
Last year, it added crash history alerts to warn drivers of crash hotspots they might be approaching. Now, it’s going to add speed limit alerts to both Android and iOS users later this month, which begins notifying a user that there’s an impending speed limit decrease once it’s within 500 feet. This functionality can commonly be found on new cars that use camera-based lane-keeping systems, but for everyone else on the road, it ought to be a handy update.
This month will also see Waze give alerts about impending speed bumps, toll booths, and sharp curves.
Another new safety feature is already available for all Waze users in the US, Canada, Mexico, and France. This alerts users if there’s an emergency vehicle stopped along the route. Connected car drivers in Germany have benefited from a similar system—for Waze’s feature, the data comes from its “Waze for City” partners.
An example of Waze’s new road alert.
Waze
An example of Waze’s new emergency vehicle alert.
An example of Waze’s new speed limit decrease alert.
Waze
An example of Waze’s roundabout navigation update.
Waze
Waze will now display information about parking garages.
Waze
You can book parking in the app.
Waze
Waze will now know your usual routes and can tell you if it’s quicker to go a different way.
Waze
Waze’s new roundabout navigation should be a boon to tourists planning to drive to Washington, DC. Again, it’s using crowdsourced data to show users where to enter a roundabout and where to leave it, as well as which lane to be in if there’s more than one. Waze says this feature will roll out to all its Android users across the globe this month. But if you use iOS, you’ll just have to keep circumnavigating that traffic circle until sometime later this year.
Rather than use crowdsourced info, the new parking update is a partnership with the parking platform Flash. It will show users information like whether the parking is covered, if it’s wheelchair accessible, and if there is EV charging or valet parking, and you’ll be able to reserve parking via the app. (Flash says its “Book Online” feature is also coming to Google Maps.) For now, Flash’s database covers about 30,000 parking garages in the US and Canada.
Finally, Waze says it’s adapting to users whose preferred routes aren’t the fastest option and that it will start displaying traffic information along these routes this month to both Android and iOS users.
Enlarge/ “Reddit Gold” takes on a whole new meaning when AI training data is involved.
The last week saw word leak that Google had agreed to license Reddit’s massive corpus of billions of posts and comments to help train its large language models. Now, in a recent Securities and Exchange Commission filing, the popular online forum has revealed that it will bring in $203 million from that and other unspecified AI data licensing contracts over the next three years.
Reddit’s Form S-1—published by the SEC late Thursday ahead of the site’s planned stock IPO—says the company expects $66.4 million of that data-derived value from LLM companies to come during the 2024 calendar year. Bloomberg previously reported the Google deal to be worth an estimated $60 million a year, suggesting that the three-year deal represents the vast majority of its AI licensing revenue so far.
Google and other AI companies that license Reddit’s data will receive “continuous access to [Reddit’s] data API as well as quarterly transfers of Reddit data over the term of the arrangement,” according to the filing. That constant, real-time access is particularly valuable, the site writes in the filing, because “Reddit data constantly grows and regenerates as users come and interact with their communities and each other.”
“Why pay for the cow…?”
While Reddit sees data licensing to AI firms as an important part of its financial future, its filing also notes that free use of its data has already been “a foundational part of how many of the leading large language models have been trained.” The filing seems almost bitter in noting that “some companies have constructed very large commercial language models using Reddit data without entering into a license agreement with us.”
That acknowledgment highlights the still-murky legal landscape over AI companies’ penchant for scraping huge swathes of the public web for training purposes, a practice those companies defend as fair use. And Reddit seems well aware that AI models may continue to hoover up its posts and comments for free, even as it tries to sell that data to others.
“Some companies may decline to license Reddit data and use such data without license given its open nature, even if in violation of the legal terms governing our services,” the company writes. “While we plan to vigorously enforce against such entities, such enforcement activities could take years to resolve, result in substantial expense, and divert management’s attention and other resources, and we may not ultimately be successful.”
Yet the mere existence of AI data licensing agreements like Reddit’s may influence how legal battles over this kind of data scraping play out. As Ars’ Timothy Lee and James Grimmelmann noted in a recent legal analysis, the establishment of a settled licensing market can have a huge impact on whether courts consider a novel use of digitized data to be “fair use” under copyright law.
“The more [AI data licensing] deals like this are signed in the coming months, the easier it will be for the plaintiffs to argue that the ‘effect on the market’ prong of fair use analysis should take this licensing market into account,” Lee and Grimmelmann wrote.
And while Reddit sees LLMs as a new revenue opportunity, the site also sees their popularity as a potential threat. The S-1 filing notes that “some users are also turning to LLMs such as ChatGPT, Gemini, and Anthropic” for seeking information, putting them in the same category of Reddit competition as “Google, Amazon, YouTube, Wikipedia, X, and other news sites.”
After filing for its IPO in late 2021, reports suggest Reddit is aiming to hit the stock market next month officially. The company will offer users and moderators with sufficient karma and/or activity on the site the opportunity to participate in that IPO through a directed share program.
Advance Publications, which owns Ars Technica parent Condé Nast, is the largest shareholder of Reddit.
To comply with looming rules that ban tech giants from favoring their own services, Google has been testing new look search results for flights, trains, hotels, restaurants, and products in Europe. The EU’s Digital Markets Act is supposed to help smaller companies get more traffic from Google, but reviews service Yelp says that when it tested Google’s design tweaks with consumers it had the opposite effect—making people less likely to click through to Yelp or another Google competitor.
The results, which Yelp shared with European regulators in December and WIRED this month, put some numerical backing behind complaints from Google rivals in travel, shopping, and hospitality that its efforts to comply with the DMA are insufficient—and potentially more harmful than the status quo. Yelp and thousands of others have been demanding that the EU hold a firm line against the giant companies including Apple and Amazon that are subject to what’s widely considered the world’s strictest antitrust law, violations of which can draw fines of up to 10 percent of global annual sales.
“All the gatekeepers are trying to hold on as long as possible to the status quo and make the new world unattractive,” says Richard Stables, CEO of shopping comparison site Kelkoo, which is unhappy with how Google has tweaked shopping results to comply with the DMA. “That’s really the game plan.”
Google spokesperson Rory O’Donoghue says the more than 20 changes made to search in response to the DMA are providing more opportunities for services such as Yelp to show up in results. “To suggest otherwise is plain wrong,” he says. Overall, Google’s tests of various DMA-inspired designs show clicks to review and comparison websites are up, O’Donoghue says—at the cost of users losing shortcuts to Google tools and individual businesses like airlines and restaurants facing a drop in visits from Google search. “We’ve been seeking feedback from a range of stakeholders over many months as we try to balance the needs of different types of websites while complying with the law,” he says.
Google, which generates 30 percent of its sales from Europe, the Middle East, and Africa, views the DMA as disrespecting its expertise in what users want. Critics such as Yelp argue that Google sometimes siphons users away from the more reliable content they offer. Yelp competes with Google for advertisers but generated less than 1 percent of its record sales of $1.3 billion last year from outside the US. An increase in European traffic could significantly boost its business.
To study search changes, Yelp worked with user-research company Lyssna to watch how hundreds of consumers from around the world interacted with Google’s new EU search results page when asked to find a dinner spot in Paris. For searches like that or for other “local” businesses, as Google calls them, one new design features results from Google Maps data at the top of the page below the search bar but adds a new box widget lower down containing images from and links to reviews websites like Yelp.
The experiments found that about 73 percent of about 500 people using that new design clicked results that kept them inside Google’s ecosystem—an increase over the 55 percent who did so when the design Google is phasing out in Europe was tested with a smaller pool of roughly 250 people.
Yelp also tested a variation of the new design. In this version, which Google has shared with regulators, the new box featuring review websites is placed above the maps widget. It was more successful in drawing people to try alternatives to Google, with only about 44 percent of consumers in the experiment sticking with the search giant. Though the box and widget will be treated equally by Google’s search algorithms, the order the features appear in will vary based on those calculations. Yelp’s concern is that Google will win out too often.
Yelp proposed to EU regulators that to produce more fair outcomes, Google should instead amend the map widget on results pages to include business listings and ratings from numerous providers, placing data from Google’s directory right alongside Yelp and others.
Companies such as Yelp that are critical of the changes in testing have called on the European Commission to immediately open an investigation into Google on March 7, when enforcement of the DMA begins.
“Yelp urges regulators to compel Google to fully comply with both the letter and spirit of the DMA,” says Yelp’s vice president of public policy, David Segal. “Google will soon be in violation of both, because if you look at what Google has put forth, it’s pretty clear that its services still have the best real estate.”
Google went ahead with plans to launch Gemini for Workspace today. The big news is the pricing information, and you can see the Workspace pricing page is new, with every plan offering a “Gemini add-on.” Google’s old AI-for-Business plan, “Duet AI for Google Workspace,” is dead, though it never really launched anyway.
Google has a blog post explaining the changes. Google Workspace starts at $6 per user per month for the “Starter” package, and the AI “Add-on,” as Google is calling it, is an extra $20 monthly cost per user (all of these prices require an annual commitment). That is a massive price increase over the normal Workspace bill, but AI processing is expensive. Google says this business package will get you “Help me write in Docs and Gmail, Enhanced Smart Fill in Sheets and image generation in Slides.” It also includes the “1.0 Ultra” model for the Gemini chatbot—there’s a full feature list here. This $20 plan is subject to a usage limit for Gemini AI features of “1,000 times per month.”
Enlarge/ The new Workspace pricing page, with a “Gemini Add-On” for every plan.
Google
Gemini for Google Workspace represents a total rebrand of the AI business product and some amount of consistency across Google’s hard-to-follow, constantly changing AI branding. Duet AI never really launched to the general public. The product, announced in August, only ever had a “Try” link that led to a survey, and after filling it out, Google would presumably contact some businesses and allow them to pay for Duet AI. Gemini Business now has a checkout page, and any Workspace business customer can buy the product today with just a few clicks.
Google’s second plan is “Gemini Enterprise,” which doesn’t come with any usage limits, but it’s also only available through a “contact us” link and not a normal checkout procedure. Enterprise is $30 per user per month, and it “includes additional capabilities for AI-powered meetings, where Gemini can translate closed captions in more than 100 language pairs, and soon even take meeting notes.”
On Wednesday, Google announced a new family of AI language models called Gemma, which are free, open-weights models built on technology similar to the more powerful but closed Gemini models. Unlike Gemini, Gemma models can run locally on a desktop or laptop computer. It’s Google’s first significant open large language model (LLM) release since OpenAI’s ChatGPT started a frenzy for AI chatbots in 2022.
Gemma models come in two sizes: Gemma 2B (2 billion parameters) and Gemma 7B (7 billion parameters), each available in pre-trained and instruction-tuned variants. In AI, parameters are values in a neural network that determine AI model behavior, and weights are a subset of these parameters stored in a file.
Developed by Google DeepMind and other Google AI teams, Gemma pulls from techniques learned during the development of Gemini, which is the family name for Google’s most capable (public-facing) commercial LLMs, including the ones that power its Gemini AI assistant. Google says the name comes from the Latin gemma, which means “precious stone.”
While Gemma is Google’s first major open LLM since the launch of ChatGPT (it has released smaller research models such as FLAN-T5 in the past), it’s not Google’s first contribution to open AI research. The company cites the development of the Transformer architecture, as well as releases like TensorFlow, BERT, T5, and JAX as key contributions, and it would not be controversial to say that those have been important to the field.
Enlarge/ A chart of Gemma performance provided by Google. Google says that Gemma outperforms Meta’s Llama 2 on several benchmarks.
Owing to lesser capability and high confabulation rates, smaller open-weights LLMs have been more like tech demos until recently, as some larger ones have begun to match GPT-3.5 performance levels. Still, experts see source-available and open-weights AI models as essential steps in ensuring transparency and privacy in chatbots. Google Gemma is not “open source” however, since that term usually refers to a specific type of software license with few restrictions attached.
In reality, Gemma feels like a conspicuous play to match Meta, which has made a big deal out of releasing open-weights models (such as LLaMA and Llama 2) since February of last year. That technique stands in opposition to AI models like OpenAI’s GPT-4 Turbo, which is only available through the ChatGPT application and a cloud API and cannot be run locally. A Reuters report on Gemma focuses on the Meta angle and surmises that Google hopes to attract more developers to its Vertex AI cloud platform.
We have not used Gemma yet; however, Google claims the 7B model outperforms Meta’s Llama 2 7B and 13B models on several benchmarks for math, Python code generation, general knowledge, and commonsense reasoning tasks. It’s available today through Kaggle, a machine-learning community platform, and Hugging Face.
In other news, Google paired the Gemma release with a “Responsible Generative AI Toolkit,” which Google hopes will offer guidance and tools for developing what the company calls “safe and responsible” AI applications.
One of Google’s most lucrative businesses consists of packaging its free consumer apps with a few custom features and extra security and then selling them to companies. That’s usually called “Google Workspace,” and today it offers email, calendar, docs, storage, and video chat. Soon, it sounds like Google is gearing up to offer an AI chatbot for businesses. Google’s latest chatbot is called “Gemini” (it used to be “Bard”), and the latest early patch notes spotted by Dylan Roussei of 9to5Google and TestingCatalog.eth show descriptions for new “Gemini Business” and “Gemini Enterprise” products.
The patch notes say that Workspace customers will get “enterprise-grade data protections” and Gemini settings in the Google Workspace Admin console and that Workspace users can “use Gemini confidently at work” while “trusting that your conversations aren’t used to train Gemini models.”
These “early patch notes” for Bard/Gemini have been a thing for a while now. Apparently, some people have ways of making the site spit out early patch notes, and in this case, they were independently confirmed by two different people. I’m not sure the date (scheduled for February 21) is trustworthy, though.
Normally, you would expect a Google app to be included in the “Business Standard” version of Workspace, which is $12 per user per month, but it sounds like Gemini won’t be included. Google describes the products as “new Gemini Business and Gemini Enterprise plans” [emphasis ours] and implores existing paying Google Workspace users to “upgrade today to Gemini Business or Gemini Enterprise.” Roussei says the “upgrade today” link goes to the Duet AI Workspace page, Google’s first attempt at “AI for business,” which hasn’t been updated with any new plans just yet.
It’s unclear how much of the Duet AI business plan is surviving the Gemini rollout. Duet was announced in August 2023 as a few “help me write” buttons in Gmail, Docs, and other Workspace apps, which would all open chatbots that can control the various apps. Duet AI was supposed to have an “initial offering” price of an additional $30 per user per month, but it has been six months now, and Duet AI still isn’t generally available to businesses. The “try Duet AI” link goes to a “request a trial” contact form. Six months is an eternity in Google’s rapidly evolving AI plans; it’s a good bet Duet is replaced by all this Gemini stuff. Will it still be an extra $30, or did everyone scoff at that price?
If this $30-extra-for-AI plan ever ships, that would mean a typical AI-infused Workspace account would be a total of $45 per user per month. That sounds like a lot, but generative AI products currently take a huge amount of processing, which means they cost a lot. Right now, everyone is in land-grab mode, trying to get as many users as possible, but generally, the big players are all losing money. Nvidia’s market-leading AI cards can cost around $10,000 to $40,000 for a single card, and that’s not even counting the ongoing electricity costs.
Enlarge/ The indoor/outdoor, battery-powered (or wired) Google Nest Cam with battery.
Google’s “Nest Aware” camera subscription is going through another round of price increases. This time it’s for international users. There’s no big announcement or anything, just a smattering of email screenshots from various countries on the Nest subreddit. 9to5Google was nice enough to hunt down a pile of the announcements.
Nest Aware is a monthly subscription fee for Google’s Nest cameras. Nest cameras exclusively store all their video in the cloud, and without the subscription, you aren’t allowed to record video 24/7. There are two sets of subscriptions to keep track of: the current generation subscription for modern cameras and the “first generation Nest Aware” subscription for older cameras. To give you an idea of what we’re dealing with, in the US, the current free tier only gets you three hours of “event” video—meaning video triggered by motion detection. Even the basic $8-a-month subscription doesn’t get you 24/7 recording—that’s still only 30 days of event video. The “Nest Aware Plus” subscription, at $15 a month in the US, gets you 10 days of 24/7 video recording.
The “first-generation” Nest Aware subscription, which is tied to earlier cameras and isn’t available for new customers anymore, is doubling in price in Canada. The basic tier of five days of 24/7 video is going from a yearly fee of CA$50 to CA$110 (the first-generation sub has 24/7 video on every tier). Ten days of video is jumping from CA$80 to CA$160, and 30 days is going from CA$110 to CA$220. These are the prices for a single camera; the first-generation subscription will have additional charges for additional cameras. The current Nest Aware subscription for modern cameras is getting jumps that look similar to the US, with Nest Aware Plus, the mid-tier, going from CA$16 to CA $20 per month, and presumably similar raises across the board.
Japan is seeing jumps, too, with annual Nest Aware for modern cameras going from 6,300 yen to 8,000 yen. Again, there’s no full list of price increases anywhere for every country; at the moment, we’re working from email screenshots, but it sounds like Google is rolling out similar price increases everywhere. The bill increases are happening in about a month, on March 25, 2024. The US already saw a 25–33 percent price increase in September, and it looks like, for the modern Nest Aware plan, the prices internationally are being brought in line with those increases. Users don’t seem too happy about the price increases, naturally.
Google’s austerity era, which CEO Sundar Pichai kicked off in the second half of 2022, has come with a wave of price increases across almost every Google subscription. YouTube Premium, YouTube Music, YouTube TV,Google Workspace, and Google Cloud storage all saw price increases. The one subscription that hasn’t seen a price jump is Google One, the consumer storage plan. Not that we’re trying to give Google any more ideas.
Lax content moderation on X (aka Twitter) has disrupted coordinated efforts between social media companies and law enforcement to tamp down on “propaganda accounts controlled by foreign entities aiming to influence US politics,” The Washington Post reported.
Now propaganda is “flourishing” on X, The Post said, while other social media companies are stuck in endless cycles, watching some of the propaganda that they block proliferate on X, then inevitably spread back to their platforms.
Meta, Google, and then-Twitter began coordinating takedown efforts with law enforcement and disinformation researchers after Russian-backed influence campaigns manipulated their platforms in hopes of swaying the 2016 US presidential election.
The next year, all three companies promised Congress to work tirelessly to stop Russian-backed propaganda from spreading on their platforms. The companies created explicit election misinformation policies and began meeting biweekly to compare notes on propaganda networks each platform uncovered, according to The Post’s interviews with anonymous sources who participated in these meetings.
Sources told The Post that the last X meeting attendee was Irish intelligence expert Aaron Rodericks—who was allegedly disciplined for liking an X post calling Musk “a dipshit.” Rodericks was subsequently laid off when Musk dismissed the entire election integrity team last September, and after that, X apparently ditched the biweekly meeting entirely and “just kind of disappeared,” a source told The Post.
In 2023, for example, Meta flagged 150 “artificial influence accounts” identified on its platform, of which “136 were still present on X as of Thursday evening,” according to The Post’s analysis. X’s seeming oversight extends to all but eight of the 123 “deceptive China-based campaigns” connected to accounts that Meta flagged last May, August, and December, The Post reported.
The Post’s report also provided an exclusive analysis from the Stanford Internet Observatory (SIO), which found that 86 propaganda accounts that Meta flagged last November “are still active on X.”
The majority of these accounts—81—were China-based accounts posing as Americans, SIO reported. These accounts frequently ripped photos from Americans’ LinkedIn profiles, then changed the real Americans’ names while posting about both China and US politics, as well as people often trending on X, such as Musk and Joe Biden.
Meta has warned that China-based influence campaigns are “multiplying,” The Post noted, while X’s standards remain seemingly too relaxed. Even accounts linked to criminal investigations remain active on X. One “account that is accused of being run by the Chinese Ministry of Public Security,” The Post reported, remains on X despite its posts being cited by US prosecutors in a criminal complaint.
Prosecutors connected that account to “dozens” of X accounts attempting to “shape public perceptions” about the Chinese Communist Party, the Chinese government, and other world leaders. The accounts also comment on hot-button topics like the fentanyl problem or police brutality, seemingly to convey “a sense of dismay over the state of America without any clear partisan bent,” Elise Thomas, an analyst for a London nonprofit called the Institute for Strategic Dialogue, told The Post.
Some X accounts flagged by The Post had more than 1 million followers. Five have paid X for verification, suggesting that their disinformation campaigns—targeting hashtags to confound discourse on US politics—are seemingly being boosted by X.
SIO technical research manager Renée DiResta criticized X’s decision to stop coordinating with other platforms.
“The presence of these accounts reinforces the fact that state actors continue to try to influence US politics by masquerading as media and fellow Americans,” DiResta told The Post. “Ahead of the 2022 midterms, researchers and platform integrity teams were collaborating to disrupt foreign influence efforts. That collaboration seems to have ground to a halt, Twitter does not seem to be addressing even networks identified by its peers, and that’s not great.”
Musk shut down X’s election integrity team because he claimed that the team was actually “undermining” election integrity. But analysts are bracing for floods of misinformation to sway 2024 elections, as some major platforms have removed election misinformation policies just as rapid advances in AI technologies have made misinformation spread via text, images, audio, and video harder for the average person to detect.
It seems apparent that propaganda accounts from foreign entities on X will use every tool available to get eyes on their content, perhaps expecting Musk’s platform to be the slowest to police them. According to The Post, some of the X accounts spreading propaganda are using what appears to be AI-generated images of Biden and Donald Trump to garner tens of thousands of views on posts.
It’s possible that X will start tightening up on content moderation as elections draw closer. Yesterday, X joined Amazon, Google, Meta, OpenAI, TikTok, and other Big Tech companies in signing an agreement to fight “deceptive use of AI” during 2024 elections. Among the top goals identified in the “AI Elections accord” are identifying where propaganda originates, detecting how propaganda spreads across platforms, and “undertaking collective efforts to evaluate and learn from the experiences and outcomes of dealing” with propaganda.
Enlarge/ The Android 15 logo. This is “Android V,” if you can’t tell from the logo.
Google
It’s that time of year again. Android is going to start its ~8-month-long beta process with the release of a new major OS version. The Android 15 Developer Preview is out today for the Pixel 6, 7, and 8, Pixel Fold, and Pixel Tablet. This release should mark the end of major OS support for the Pixel 5 and 5a series.
So what’s new? It’s hard to know too much with only the simple text descriptions we’re getting, but we have a few bullet points. “Partial screen sharing” will let users share or record individual app windows instead of the entire screen. Phones don’t have much of a difference between an app window and a full screen, but it would be nice if this blocked incoming notifications from showing up on your screen share. It would also be nice for tablets.
Android is surfacing an API that supports the Linux kernel’s fs-verity feature. This will let you store a read-only file on a read-write file system and cryptographically sign it to ensure it hasn’t been maliciously tampered with. Google apparently wants app developers to use this, saying, “This leads to enhanced security, protecting against potential malware or unauthorized file modifications that could compromise your app’s functionality or data.“
Google says there are improved camera controls for apps and more “dynamic performance” controls that detect if your phone is overheating and let apps respond accordingly.
There’s also a schedule that says we’re getting at least six developer releases. The first “beta” will be out in April; “platform stability,” when APIs are finalized and developers should get to work, is in June. The final release on the timeline is sometime after July, depending on how development goes.
We’ll know more about Android 15 when the actual documentation gets released and we can try some software. As always, these first Developer Preview releases are limited to low-level features for app developers, giving interested parties time to support new functionality before the OS releases in Q3. User-facing features will come later—hopefully. The Android 14 release was one of the smallest on record, so we’re hoping there are more meaningful improvements this year.
