Enlarge/ The Google Phone’s Play Store listing still touts Nearby Places as a major feature.
Google
9to5Google reports that Google has killed off the Google Phone app’s “nearby places” feature. Google announced the impending death of the feature in February, saying: “We’ve found only a very small number of people use this feature, and the vast majority of users go to Google Search or Maps when seeking business-related phone numbers.” Now it’s really dead.
The “Nearby Places” feature in the Google Phone app seemed like a useful and common-sense feature. It connected the power of Google Maps to the phone app, allowing the phone search bar to not only look through your contacts but also businesses listed in Google Maps. When you want to call the local pizza place, just type in the name, rather than some arcane string of numbers, and hit “dial.”
The feature has been around on Pixel phones since at least the Pixel 2 and has been generally available to anyone who downloaded the “Phone by Google” app in the Play Store for the past few years. It was a perfect “Google” feature, combining the company’s OS, breadth of online data, and search into a useful function. Google has made its AI-infused phone app a primary selling point of Pixel phones over the years, so stripping it of features is weird.
Google claims that the feature is being killed because it was used by a “very small number of people,” but it also might be shutting it down because it hasn’t worked reliably for a while now. It looks like Google broke the Nearby Places search around August 2023. Here’s a bug report from around that time with 100 comments, and there are several Reddit and Google forum posts out there. Even new phones were shipping with the feature disabled. One reason for Google’s apparent disinterest in the feature is that the phone app’s Nearby Places searches took traffic away from Google Maps. Maps shows ads in the search results, and the phone app didn’t.
On Monday, Bloomberg reported that Apple is in talks to license Google’s Gemini model to power AI features like Siri in a future iPhone software update coming later in 2024, according to people familiar with the situation. Apple has also reportedly conducted similar talks with ChatGPT maker OpenAI.
The potential integration of Google Gemini into iOS 18 could bring a range of new cloud-based (off-device) AI-powered features to Apple’s smartphone, including image creation or essay writing based on simple prompts. However, the terms and branding of the agreement have not yet been finalized, and the implementation details remain unclear. The companies are unlikely to announce any deal until Apple’s annual Worldwide Developers Conference in June.
Gemini could also bring new capabilities to Apple’s widely criticized voice assistant, Siri, which trails newer AI assistants powered by large language models (LLMs) in understanding and responding to complex questions. Rumors of Apple’s own internal frustration with Siri—and potential remedies—have been kicking around for some time. In January, 9to5Mac revealed that Apple had been conducting tests with a beta version of iOS 17.4 that used OpenAI’s ChatGPT API to power Siri.
As we have previously reported, Apple has also been developing its own AI models, including a large language model codenamed Ajax and a basic chatbot called Apple GPT. However, the company’s LLM technology is said to lag behind that of its competitors, making a partnership with Google or another AI provider a more attractive option.
Google launched Gemini, a language-based AI assistant similar to ChatGPT, in December and has updated it several times since. Many industry experts consider the larger Gemini models to be roughly as capable as OpenAI’s GPT-4 Turbo, which powers the subscription versions of ChatGPT. Until just recently, with the emergence of Gemini Ultra and Claude 3, OpenAI’s top model held a fairly wide lead in perceived LLM capability.
The potential partnership between Apple and Google could significantly impact the AI industry, as Apple’s platform represents more than 2 billion active devices worldwide. If the agreement gets finalized, it would build upon the existing search partnership between the two companies, which has seen Google pay Apple billions of dollars annually to make its search engine the default option on iPhones and other Apple devices.
However, Bloomberg reports that the potential partnership between Apple and Google is likely to draw scrutiny from regulators, as the companies’ current search deal is already the subject of a lawsuit by the US Department of Justice. The European Union is also pressuring Apple to make it easier for consumers to change their default search engine away from Google.
With so much potential money on the line, selecting Google for Apple’s cloud AI job could potentially be a major loss for OpenAI in terms of bringing its technology widely into the mainstream—with a market representing billions of users. Even so, any deal with Google or OpenAI may be a temporary fix until Apple can get its own LLM-based AI technology up to speed.
Enlarge/ Google’s safe browsing warning is not subtle.
Google
Google Chrome’s “Safe Browsing” feature—the thing that pops up a giant red screen when you try to visit a malicious website—is getting real-time updates for all users. Google announced the change on the Google Security Blog. Real-time protection naturally means sending URL data to some far-off server, but Google says it will use “privacy-preserving URL protection” so it won’t get a list of your entire browsing history. (Not that Chrome doesn’t already have features that log your history or track you.)
Safe Browsing basically boils down to checking your current website against a list of known bad sites. Google’s old implementation happened locally, which had the benefit of not sending your entire browsing history to Google, but that meant downloading the list of bad sites at 30- to 60-minute intervals. There are a few problems with local downloads. First, Google says the majority of bad sites exist for “less than 10 minutes,” so a 30-minute update time isn’t going to catch them. Second, the list of all bad websites on the entire Internet is going to be very large and constantly growing, and Google already says that “not all devices have the resources necessary to maintain this growing list.”
If you really want to shut down malicious sites, what you want is real-time checking against a remote server. There are a lot of bad ways you could do this. One way would be to just send every URL to the remote server, and you’d basically double Internet website traffic for all of Chrome’s 5 billion users. To cut down on those server requests, Chrome is instead going to download a list of known good sites, and that will cover the vast majority of web traffic. Only the small, unheard-of sites will be subject to a server check, and even then, Chrome will keep a cache of your recent small site checks, so you’ll only check against the server the first time.
When you’re not on the known-safe-site list or recent cache, info about your web URL will be headed to some remote server, but Google says it won’t be able to see your web history. Google does all of its URL checking against hashes, rather than the plain-text URL. Previously, Google offered an opt-in “enhanced protection” mode for safe browsing, which offered more up-to-date malicious site blocking in exchange for “sharing more security-related data” with Google, but the company thinks this new real-time mode is privacy-preserving enough to roll out to everyone by default. The “Enhanced” mode is still sticking around since that allows for “deep scans for suspicious files and extra protection from suspicious Chrome extensions.”
Enlarge/ Google’s diagram of how the whole process works.
Google
Interestingly, the privacy scheme involves a relay server that will be run by a third party. Google says, “In order to preserve user privacy, we have partnered with Fastly, an edge cloud platform that provides content delivery, edge compute, security, and observability services, to operate an Oblivious HTTP (OHTTP) privacy server between Chrome and Safe Browsing.”
For now, Google’s remote checks, when they happen, will mean some latency while your safety check completes, but Google says it’s “in the process of introducing an asynchronous mechanism, which will allow the site to load while the real-time check is in progress. This will improve the user experience, as the real-time check won’t block page load.”
The feature should be live in the latest Chrome release for desktop, Android, and iOS. If you don’t want it, you can turn it off in the “Privacy and security” section of the Chrome settings.
Enlarge/ Even hunt-and-fetch quests are better with a little AI help.
At this point in the progression of machine-learning AI, we’re accustomed to specially trained agents that can utterly dominate everything from Atari games to complex board games like Go. But what if an AI agent could be trained not just to play a specific game but also to interact with any generic 3D environment? And what if that AI was focused not only on brute-force winning but instead on responding to natural language commands in that gaming environment?
Those are the kinds of questions animating Google’s DeepMind research group in creating SIMA, a “Scalable, Instructable, Multiworld Agent” that “isn’t trained to win, it’s trained to do what it’s told,” as research engineer Tim Harley put it in a presentation attended by Ars Technica. “And not just in one game, but… across a variety of different games all at once.”
Harley stresses that SIMA is still “very much a research project,” and the results achieved in the project’s initial tech report show there’s a long way to go before SIMA starts to approach human-level listening capabilities. Still, Harley said he hopes that SIMA can eventually provide the basis for AI agents that players can instruct and talk to in cooperative gameplay situations—think less “superhuman opponent” and more “believable partner.”
“This work isn’t about achieving high game scores,” as Google puts it in a blog post announcing its research. “Learning to play even one video game is a technical feat for an AI system, but learning to follow instructions in a variety of game settings could unlock more helpful AI agents for any environment.”
Learning how to learn
Google trained SIMA on nine very different open-world games in an attempt to create a generalizable AI agent.
To train SIMA, the DeepMind team focused on three-dimensional games and test environments controlled either from a first-person perspective or an over-the-shoulder third-person perspective. The nine games in its test suite, which were provided by Google’s developer partners, all prioritize “open-ended interactions” and eschew “extreme violence” while providing a wide range of different environments and interactions, from “outer space exploration” to “wacky goat mayhem.”
In an effort to make SIMA as generalizable as possible, the agent isn’t given any privileged access to a game’s internal data or control APIs. The system takes nothing but on-screen pixels as its input and provides nothing but keyboard and mouse controls as its output, mimicking “the [model] humans have been using [to play video games] for 50 years,” as the researchers put it. The team also designed the agent to work with games running in real time (i.e., at 30 frames per second) rather than slowing down the simulation for extra processing time like some other interactive machine-learning projects.
Animated samples of SIMA responding to basic commands across very different gaming environments.
While these restrictions increase the difficulty of SIMA’s tasks, they also mean the agent can be integrated into a new game or environment “off the shelf” with minimal setup and without any specific training regarding the “ground truth” of a game world. It also makes it relatively easy to test whether things SIMA has learned from training on previous games can “transfer” over to previously unseen games, which could be a key step to getting at artificial general intelligence.
For training data, SIMA uses video of human gameplay (and associated time-coded inputs) on the provided games, annotated with natural language descriptions of what’s happening in the footage. These clips are focused on “instructions that can be completed in less than approximately 10 seconds” to avoid the complexity that can develop with “the breadth of possible instructions over long timescales,” as the researchers put it in their tech report. Integration with pre-trained models like SPARC and Phenaki also helps the SIMA model avoid having to learn how to interpret language and visual data from scratch.
Like many of us, Google Gemini is tired of politics. Reuters reports that Google has restricted the chatbot from answering questions about the upcoming US election, and instead, it will direct users to Google Search.
Google had planned to do this back when the Gemini chatbot was still called “Bard.” In December, the company said, “Beginning early next year, in preparation for the 2024 elections and out of an abundance of caution on such an important topic, we’ll restrict the types of election-related queries for which Bard and [Google Search’s Bard integration] will return responses.” Tuesday, Google confirmed to Reuters that those restrictions have kicked in. Election queries now tend to come back with the refusal: “I’m still learning how to answer this question. In the meantime, try Google Search.”
Google’s original plan in December was likely to disable election info so Gemini could avoid any political firestorms. Boy, did that not work out! When asked to generate images of people, Gemini quietly tacked diversity requirements onto the image request; this practice led to offensive and historically inaccurate images along with a general refusal to generate images of white people. Last month that earned Google wall-to-wall coverage in conservative news spheres along the lines of “Google’s woke AI hates white people!” Google CEO Sundar Pichai called the AI’s “biased” responses “completely unacceptable,” and for now, creating images of people is disabled while Google works on it.
The start of the first round of US elections in the AI era has already led to new forms of disinformation, and Google presumably wants to opt out of all of it.
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.”
