generative ai

meta-won’t-allow-users-to-opt-out-of-targeted-ads-based-on-ai-chats

Meta won’t allow users to opt out of targeted ads based on AI chats

Facebook, Instagram, and WhatsApp users may want to be extra careful while using Meta AI, as Meta has announced that it will soon be using AI interactions to personalize content and ad recommendations without giving users a way to opt out.

Meta plans to notify users on October 7 that their AI interactions will influence recommendations beginning on December 16. However, it may not be immediately obvious to all users that their AI interactions will be used in this way.

The company’s blog noted that the initial notification users will see only says, “Learn how Meta will use your info in new ways to personalize your experience.” Users will have to click through to understand that the changes specifically apply to Meta AI, with a second screen explaining, “We’ll start using your interactions with AIs to personalize your experience.”

Ars asked Meta why the initial notification doesn’t directly mention AI, and Meta spokesperson Emil Vazquez said he “would disagree with the idea that we are obscuring this update in any way.”

“We’re sending notifications and emails to people about this change,” Vazquez said. “As soon as someone clicks on the notification, it’s immediately apparent that this is an AI update.”

In its blog post, Meta noted that “more than 1 billion people use Meta AI every month,” stating its goals are to improve the way Meta AI works in order to fuel better experiences on all Meta apps. Sensitive “conversations with Meta AI about topics such as their religious views, sexual orientation, political views, health, racial or ethnic origin, philosophical beliefs, or trade union membership “will not be used to target ads, Meta confirmed.

“You’re in control,” Meta’s blog said, reiterating that users can “choose” how they “interact with AIs,” unlink accounts on different apps to limit AI tracking, or adjust ad and content settings at any time. But once the tracking starts on December 16, users will not have the option to opt out of targeted ads based on AI chats, Vazquez confirmed, emphasizing to Ars that “there isn’t an opt out for this feature.”

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OpenAI mocks Musk’s math in suit over iPhone/ChatGPT integration


“Fraction of a fraction of a fraction”

xAI’s claim that Apple gave ChatGPT a monopoly on prompts is “baseless,” OpenAI says.

OpenAI and Apple have moved to dismiss a lawsuit by Elon Musk’s xAI, alleging that ChatGPT’s integration into a “handful” of iPhone features violated antitrust laws by giving OpenAI a monopoly on prompts and Apple a new path to block rivals in the smartphone industry.

The lawsuit was filed in August after Musk raged on X about Apple never listing Grok on its editorially curated “Must Have” apps list, which ChatGPT frequently appeared on.

According to Musk, Apple linking ChatGPT to Siri and other native iPhone features gave OpenAI exclusive access to billions of prompts that only OpenAI can use as valuable training data to maintain its dominance in the chatbot market. However, OpenAI and Apple are now mocking Musk’s math in court filings, urging the court to agree that xAI’s lawsuit is doomed.

As OpenAI argued, the estimates in xAI’s complaint seemed “baseless,” with Musk hesitant to even “hazard a guess” at what portion of the chatbot market is being foreclosed by the OpenAI/Apple deal.

xAI suggested that the ChatGPT integration may give OpenAI “up to 55 percent” of the potential chatbot prompts in the market, which could mean anywhere from 0 to 55 percent, OpenAI and Apple noted.

Musk’s company apparently arrived at this vague estimate by doing “back-of-the-envelope math,” and the court should reject his complaint, OpenAI argued. That math “was evidently calculated by assuming that Siri fields ‘1.5 billion user requests per day globally,’ then dividing that quantity by the ‘total prompts for generative AI chatbots in 2024,'”—”apparently 2.7 billion per day,” OpenAI explained.

These estimates “ignore the facts” that “ChatGPT integration is only available on the latest models of iPhones, which allow users to opt into the integration,” OpenAI argued. And for any user who opts in, they must link their ChatGPT account for OpenAI to train on their data, OpenAI said, further restricting the potential prompt pool.

By Musk’s own logic, OpenAI alleged, “the relevant set of Siri prompts thus cannot plausibly be 1.5 billion per day, but is instead an unknown, unpleaded fraction of a fraction of a fraction of that number.”

Additionally, OpenAI mocked Musk for using 2024 statistics, writing that xAI failed to explain “the logic of using a year-old estimate of the number of prompts when the pleadings elsewhere acknowledge that the industry is experiencing ‘exponential growth.'”

Apple’s filing agreed that Musk’s calculations “stretch logic,” appearing “to rest on speculative and implausible assumptions that the agreement gives ChatGPT exclusive access to all Siri requests from all Apple devices (including older models), and that OpenAI may use all such requests to train ChatGPT and achieve scale.”

“Not all Siri requests” result in ChatGPT prompts that OpenAI can train on, Apple noted, “even by users who have enabled devices and opt in.”

OpenAI reminds court of Grok’s MechaHitler scandal

OpenAI argued that Musk’s lawsuit is part of a pattern of harassment that OpenAI previously described as “unrelenting” since ChatGPT’s successful debut, alleging it was “the latest effort by the world’s wealthiest man to stifle competition in the world’s most innovative industry.”

As OpenAI sees it, “Musk’s pretext for litigation this time is that Apple chose to offer ChatGPT as an optional add-on for several built-in applications on its latest iPhones,” without giving Grok the same deal. But OpenAI noted that the integration was rolled out around the same time that Musk removed “woke filters” that caused Grok to declare itself “MechaHitler.” For Apple, it was a business decision to avoid Grok, OpenAI argued.

Apple did not reference the Grok scandal in its filing but in a footnote confirmed that “vetting of partners is particularly important given some of the concerns about generative AI chatbots, including on child safety issues, nonconsensual intimate imagery, and ‘jailbreaking’—feeding input to a chatbot so it ignores its own safety guardrails.”

A similar logic was applied to Apple’s decision not to highlight Grok as a “Must Have” app, their filing said. After Musk’s public rant about Grok’s exclusion on X, “Apple employees explained the objective reasons why Grok was not included on certain lists, and identified app improvements,” Apple noted, but instead of making changes, xAI filed the lawsuit.

Also taking time to point out the obvious, Apple argued that Musk was fixated on the fact that his charting apps never make the “Must Have Apps” list, suggesting that Apple’s picks should always mirror “Top Charts,” which tracks popular downloads.

“That assumes that the Apple-curated Must-Have Apps List must be distorted if it does not strictly parrot App Store Top Charts,” Apple argued. “But that assumption is illogical: there would be little point in maintaining a Must-Have Apps List if all it did was restate what Top Charts say, rather than offer Apple’s editorial recommendations to users.”

Likely most relevant to the antitrust charges, Apple accused Musk of improperly arguing that “Apple cannot partner with OpenAI to create an innovative feature for iPhone users without simultaneously partnering with every other generative AI chatbot—regardless of quality, privacy or safety considerations, technical feasibility, stage of development, or commercial terms.”

“No facts plausibly” support xAI’s “assertion that Apple intentionally ‘deprioritized'” xAI apps “as part of an illegal conspiracy or monopolization scheme,” Apple argued.

And most glaringly, Apple noted that xAI is not a rival or consumer in the smartphone industry, where it alleges competition is being harmed. Apple urged the court to reject Musk’s theory that Apple is incentivized to boost OpenAI to prevent xAI’s ascent in building a “super app” that would render smartphones obsolete. If Musk’s super app dream is even possible, Apple argued, it’s at least a decade off, insisting that as-yet-undeveloped apps should not serve as the basis for blocking Apple’s measured plan to better serve customers with sophisticated chatbot integration.

“Antitrust laws do not require that, and for good reason: imposing such a rule on businesses would slow innovation, reduce quality, and increase costs, all ultimately harming the very consumers the antitrust laws are meant to protect,” Apple argued.

Musk’s weird smartphone market claim, explained

Apple alleged that Musk’s “grievance” can be “reduced to displeasure that Apple has not yet ‘integrated with any other generative AI chatbots’ beyond ChatGPT, such as those created by xAI, Google, and Anthropic.”

In a footnote, the smartphone giant noted that by xAI’s logic, Musk’s social media platform X “may be required to integrate all other chatbots—including ChatGPT—on its own social media platform.”

But antitrust law doesn’t work that way, Apple argued, urging the court to reject xAI’s claims of alleged market harms that “rely on a multi-step chain of speculation on top of speculation.” As Apple summarized, xAI contends that “if Apple never integrated ChatGPT,” xAI could win in both chatbot and smartphone markets, but only if:

1. Consumers would choose to send additional prompts to Grok (rather than other generative AI chatbots).

2. The additional prompts would result in Grok achieving scale and quality it could not otherwise achieve.

3. As a result, the X app would grow in popularity because it is integrated with Grok.

4. X and xAI would therefore be better positioned to build so-called “super apps” in the future, which the complaint defines as “multi-functional” apps that offer “social connectivity and messaging, financial services, e-commerce, and entertainment.”

5. Once developed, consumers might choose to use X’s “super app” for various functions.

6. “Super apps” would replace much of the functionality of smartphones and consumers would care less about the quality of their physical phones and rely instead on these hypothetical “super apps.”

7. Smartphone manufacturers would respond by offering more basic models of smartphones with less functionality.

8. iPhone users would decide to replace their iPhones with more “basic smartphones” with “super apps.”

Apple insisted that nothing in its OpenAI deal prevents Musk from building his super apps, while noting that from integrating Grok into X, Musk understands that integration of a single chatbot is a “major undertaking” that requires “substantial investment.” That “concession” alone “underscores the massive resources Apple would need to devote to integrating every AI chatbot into Apple Intelligence,” while navigating potential user safety risks.

The iPhone maker also reminded the court that it has always planned to integrate other chatbots into its native features after investing in and testing Apple Intelligence’s performance, relying on what Apple deems is the best chatbot on the market today.

Backing Apple up, OpenAI noted that Musk’s complaint seemed to cherry-pick testimony from Google CEO Sundar Pichai, claiming that “Google could not reach an agreement to integrate” Gemini “with Apple because Apple had decided to integrate ChatGPT.”

“The full testimony recorded in open court reveals Mr. Pichai attesting to his understanding that ‘Apple plans to expand to other providers for Generative AI distribution’ and that ‘[a]s CEO of Google, [he is] hoping to execute a Gemini distribution agreement with Apple’ later in 2025,” OpenAI argued.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

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Google’s Gemini-powered smart home revamp is here with a new app and cameras


Google promises a better smart home experience thanks to Gemini.

Google’s new Nest cameras keep the same look. Credit: Google

Google’s products and services have been flooded with AI features over the past couple of years, but smart home has been largely spared until now. The company’s plans to replace Assistant are moving forward with a big Google Home reset. We’ve been told over and over that generative AI will do incredible things when given enough data, and here’s the test.

There’s a new Home app with Gemini intelligence throughout the experience, updated subscriptions, and even some new hardware. The revamped Home app will allegedly gain deeper insights into what happens in your home, unlocking advanced video features and conversational commands. It demos well, but will it make smart home tech less or more frustrating?

A new Home

You may have already seen some elements of the revamped Home experience percolating to the surface, but that process begins in earnest today. The new app apparently boosts speed and reliability considerably, with camera feeds loading 70 percent faster and with 80 percent fewer app crashes. The app will also bring new Gemini features, some of which are free. Google’s new Home subscription retains the same price as the old Nest subs, but naturally, there’s a lot more AI.

Google claims that Gemini will make your smart home easier to monitor and manage. All that video streaming from your cameras churns through the AI, which interprets the goings on. As a result, you get features like AI-enhanced notifications that give you more context about what your cameras saw. For instance, your notifications will include descriptions of activity, and Home Brief will summarize everything that happens each day.

Home app

The new Home app has a simpler three-tab layout.

Credit: Google

The new Home app has a simpler three-tab layout. Credit: Google

Conversational interaction is also a big part of this update. In the home app, subscribers will see a new Ask Home bar where you can input natural language queries. For example, you could ask if a certain person has left or returned home, or whether or not your package showed up. At least, that’s what’s supposed to happen—generative AI can get things wrong.

The new app comes with new subscriptions based around AI, but the tiers don’t cost any more than the old Nest plans, and they include all the same video features. The base $10 subscription, now known as Standard, includes 30 days of video event history, along with Gemini automation features and the “intelligent alerts” Home has used for a while that can alert you to packages, familiar faces, and so on. The $20 subscription is becoming Home Advanced, which adds the conversational Ask Home feature in the app, AI notifications, AI event descriptions, and a new “Home Brief.” It also still offers 60 days of events and 10 days of 24/7 video history.

Home app and notification

Gemini is supposed to help you keep tabs on what’s happening at home.

Credit: Google

Gemini is supposed to help you keep tabs on what’s happening at home. Credit: Google

Free users still get saved event video history, and it’s been boosted from three hours to six. If you are not subscribing to Gemini Home or using the $10 plan, the Ask Home bar that is persistent across the app will become a quick search, which surfaces devices and settings.

If you’re already subscribing to Google’s AI services, this change could actually save you some cash. Anyone with Google AI Pro (a $20 sub) will get Home Standard for free. If you’re paying for the lavish $250 per month AI Ultra plan, you get Home Advanced at no additional cost.

A proving ground for AI

You may have gotten used to Assistant over the past decade in spite of its frequent feature gaps, but you’ll have to leave it behind. Gemini for Home will be taking over beginning this month in early access. The full release will come later, but Google intends to deliver the Gemini-powered smart home experience to as many users as possible.

Gemini will replace Assistant on every first-party Google Home device, going all the way back to the original 2016 Google Home. You’ll be able to have live chats with Gemini via your smart speakers and make more complex smart home queries. Google is making some big claims about contextual understanding here.

Gemini Home

If Google’s embrace of generative AI pays off, we’ll see it here.

Credit: Google

If Google’s embrace of generative AI pays off, we’ll see it here. Credit: Google

If you’ve used Gemini Live, the new Home interactions will seem familiar. You can ask Gemini anything you want via your smart speakers, perhaps getting help with a recipe or an appliance issue. However, the robot will sometimes just keep talking long past the point it’s helpful. Like Gemini Live, you just have to interrupt the robot sometimes. Google also promises a selection of improved voices to interrupt.

If you want to get early access to the new Gemini Home features, you can sign up in the Home app settings. Just look for the “Early access” option. Google doesn’t guarantee access on a specific timeline, but the first people will be allowed to try the new Gemini Home this month.

New AI-first hardware

It has been four years since Google released new smart home devices, but the era of Gemini brings some new hardware. There are three new cameras, all with 2K image sensors. The new Nest Indoor camera will retail for $100, and the Nest Outdoor Camera will cost $150 (or $250 in a two-pack). There’s also a new Nest Doorbell, which requires a wired connection, for $180.

Google says these cameras were designed with generative AI in mind. The sensor choice allows for good detail even if you need to digitally zoom in, but the video feed is still small enough to be ingested by Google’s AI models as it’s created. This is what gives the new Home app the ability to provide rich updates on your smart home.

Nest Doorbell 3

The new Nest Doorbell looks familiar.

Credit: Google

The new Nest Doorbell looks familiar. Credit: Google

You may also notice there are no battery-powered models in the new batch. Again, that’s because of AI. A battery-powered camera wakes up only momentarily when the system logs an event, but this approach isn’t as useful for generative AI. Providing the model with an ongoing video stream gives it better insights into the scene and, theoretically, produces better insights for the user.

All the new cameras are available for order today, but Google has one more device queued up for a later release. The “Google Home Speaker” is Google’s first smart speaker release since 2020’s Nest Audio. This device is smaller than the Nest Audio but larger than the Nest Mini speakers. It supports 260-degree audio with custom on-device processing that reportedly makes conversing with Gemini smoother. It can also be paired with the Google TV Streamer for home theater audio. It will be available this coming spring for $99.

Google Home Speaker

The new Google Home Speaker comes out next spring.

Credit: Ryan Whitwam

The new Google Home Speaker comes out next spring. Credit: Ryan Whitwam

Google Home will continue to support a wide range of devices, but most of them won’t connect to all the advanced Gemini AI features. However, that could change. Google has also announced a new program for partners to build devices that work with Gemini alongside the Nest cameras. Devices built with the new Google Camera embedded SDK will begin appearing in the coming months, but Walmart’s Onn brand has two ready to go. The Onn Indoor camera retails for $22.96 and the Onn Video Doorbell is $49.86. Both cameras are 1080p resolution and will talk to Gemini just like Google’s cameras. So you may have more options to experience Google’s vision for the AI home of the future.

Photo of Ryan Whitwam

Ryan Whitwam is a senior technology reporter at Ars Technica, covering the ways Google, AI, and mobile technology continue to change the world. Over his 20-year career, he’s written for Android Police, ExtremeTech, Wirecutter, NY Times, and more. He has reviewed more phones than most people will ever own. You can follow him on Bluesky, where you will see photos of his dozens of mechanical keyboards.

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Reviewing iOS 26 for power users: Reminders, Preview, and more


These features try to turn iPhones into more powerful work and organization tools.

iOS 26 came out last week, bringing a new look and interface alongside some new capabilities and updates aimed squarely at iPhone power users.

We gave you our main iOS 26 review last week. This time around, we’re taking a look at some of the updates targeted at people who rely on their iPhones for much more than making phone calls and browsing the Internet. Many of these features rely on Apple Intelligence, meaning they’re only as reliable and helpful as Apple’s generative AI (and only available on newer iPhones, besides). Other adjustments are smaller but could make a big difference to people who use their phone to do work tasks.

Reminders attempt to get smarter

The Reminders app gets the Apple Intelligence treatment in iOS 26, with the AI primarily focused on making it easier to organize content within Reminders lists. Lines in Reminders lists are often short, quickly jotted-down blurbs rather than lengthy, detailed complex instructions. With this in mind, it’s easy to see how the AI can sometimes lack enough information in order to perform certain tasks, like logically grouping different errands into sensible sections.

But Apple also encourages applying the AI-based Reminders features to areas of life that could hold more weight, such as making a list of suggested reminders from emails. For serious or work-critical summaries, Reminders’ new Apple Intelligence capabilities aren’t reliable enough.

Suggested Reminders based on selected text

iOS 26 attempts to elevate Reminders from an app for making lists to an organization tool that helps you identify information or important tasks that you should accomplish. If you share content, such as emails, website text, or a note, with the app, it can create a list of what it thinks are the critical things to remember from the text. But if you’re trying to extract information any more advanced than an ingredients list from a recipe, Reminders misses the mark.

iOS 26 Suggested Reminders

Sometimes I tried sharing longer text with Reminders and didn’t get any suggestions.

Credit: Scharon Harding

Sometimes I tried sharing longer text with Reminders and didn’t get any suggestions. Credit: Scharon Harding

Sometimes, especially when reviewing longer text, Reminders was unable to think of suggested reminders. Other times, the reminders that it suggested, based off of lengthy messages, were off-base.

For instance, I had the app pull suggested reminders from a long email with guidelines and instructions from an editor. Highlighting a lot of text can be tedious on a touchscreen, but I did it anyway because the message had lots of helpful information broken up into sections that each had their own bold sub-headings. Additionally, most of those sections had their own lists (some using bullet points, some using numbers). I hoped Reminders would at least gather information from all of the email’s lists. But the suggested reminders ended up just being the same text from three—but not all—of the email’s bold sub-headings.

When I tried getting suggested reminders from a smaller portion of the same email, I surprisingly got five bullet points that covered more than just the email’s sub-headings but that still missed key points, including the email’s primary purpose.

Ultimately, the suggested Reminders feature mostly just boosts the app’s ability to serve as a modern shopping list. Suggested Reminders excels at pulling out ingredients from recipes, turning each ingredient into a suggestion that you can tap to add to a Reminders list. But being able to make a bulleted list out of a bulleted list is far from groundbreaking.

Auto-categorizing lines in Reminders lists

Since iOS 17, Reminders has been able to automatically sort items in grocery lists into distinct categories, like Produce and Proteins. iOS 26 tries taking things further by automatically grouping items in a list into non-culinary sections.

The way Reminders groups user-created tasks in lists is more sensible—and useful—than when it tries to create task suggestions based on shared text.

For example, I made a long list of various errands I needed to do, and Reminders grouped them into these categories: Administrative Tasks, Household Chores, Miscellaneous, Personal Tasks, Shopping, and Travel & Accommodation. The error rate here is respectable, but I would have tweaked some things. For one, I wouldn’t use the word “administrative” to refer to personal errands. The two tasks included under Administrative Tasks would have made more sense to me in Personal Tasks or Miscellaneous, even though those category names are almost too vague to have distinct meaning.

Preview comes to iOS

With Preview’s iOS debut, Apple brings to iPhones an app for viewing and editing PDFs and images that macOS users have had for years. As a result, many iPhone users will find the software easy and familiar to use.

But for iPhone owners who have long relied on Files for viewing, marking, and filling out PDFs and the like, Preview doesn’t bring many new capabilities. Anything that you can do in Preview, you could have done by viewing the same document in Files in an older version of iOS, save for a new crop tool and dedicated button for showing information about the document.

That’s kind of the point, though. When an iPhone has two discrete apps that can read and edit files, it’s far less frustrating to work with multiple documents. While you’re annotating a document in Preview, the Files app is still available, allowing you to have more than one document open at once. It’s a simple adjustment but one that vastly improves multitasking.

More Shortcuts options

Shortcuts gets somewhat more capable in iOS 26. That’s assuming you’re interested in using ChatGPT or Apple Intelligence generative AI in your automated tasks. You can tag in generative AI to create a shortcut that includes summarizing text in bullet points and applying that bulleted list to the shortcut’s next task, for instance.

An example of a Shortcut that uses generative AI.

Credit: Apple

An example of a Shortcut that uses generative AI. Credit: Apple

There are inherent drawbacks here. For one, Apple Intelligence and ChatGPT, like many generative AI tools, are subject to inaccuracies and can frequently overlook and/or misinterpret critical information. iOS 26 makes it easier for power users to incorporate a rewrite of a long text that has a more professional tone into a Shortcut. But that doesn’t mean that AI will properly communicate the information, especially when used across different scenarios with varied text.

You have three options for building Shortcuts that include use of AI models. Using ChatGPT or Apple Intelligence via Apple’s Private Cloud Compute, which runs the model on an Apple server, requires an Internet connection. Alternatively, you can use an on-device model without connecting to the web.

You can run more advanced models via Private Cloud Compute than you can with Apple Intelligence on-device. In Apple’s testing, models via Private Cloud Compute perform better on things like writing summaries and composition compared to on-device models.

Apple says personal user data sent to Private Cloud Compute “isn’t accessible to anyone other than the user — not even to Apple.” Apple has a strong, but flawed, reputation for being better about user privacy than other Big Tech firms. But by offering three different models to use with Shortcuts, iOS 26 ensures greater functionality, options, and control.

Something for podcasters

It’s likely that more people rely on iPads (or Macs) than iPhones for podcasting. Nevertheless, a new local capture feature introduced to both iOS 26 and iPadOS 26 makes it a touch more feasible to use iPhones (and iPads especially) for recording interviews for podcasts.

Before the latest updates, iOS and iPadOS only allowed one app to access the device’s microphone at a time. So, if you were interviewing someone via a videoconferencing app, you couldn’t also use your iPhone or iPad to record the discussion, since the videoconferencing app is using your mic to share your voice with whoever is on the other end of the call. Local capture on iOS 26 doesn’t include audio input controls, but its inclusion gives podcasters a way to record interviews or conversations on iPhones without needing additional software or hardware. That capability could save the day in a pinch.

Photo of Scharon Harding

Scharon is a Senior Technology Reporter at Ars Technica writing news, reviews, and analysis on consumer gadgets and services. She’s been reporting on technology for over 10 years, with bylines at Tom’s Hardware, Channelnomics, and CRN UK.

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millions-turn-to-ai-chatbots-for-spiritual-guidance-and-confession

Millions turn to AI chatbots for spiritual guidance and confession

Privacy concerns compound these issues. “I wonder if there isn’t a larger danger in pouring your heart out to a chatbot,” Catholic priest Fr. Mike Schmitz told The Times. “Is it at some point going to become accessible to other people?” Users share intimate spiritual moments that now exist as data points in corporate servers.

Some users prefer the chatbots’ non-judgmental responses to human religious communities. Delphine Collins, a 43-year-old Detroit preschool teacher, told the Times she found more support on Bible Chat than at her church after sharing her health struggles. “People stopped talking to me. It was horrible.”

App creators maintain that their products supplement rather than replace human spiritual connection, and the apps arrive as approximately 40 million people have left US churches in recent decades. “They aren’t going to church like they used to,” Beck said. “But it’s not that they’re less inclined to find spiritual nourishment. It’s just that they do it through different modes.”

Different modes indeed. What faith-seeking users may not realize is that each chatbot response emerges fresh from the prompt you provide, with no permanent thread connecting one instance to the next beyond a rolling history of the present conversation and what might be stored as a “memory” in a separate system. When a religious chatbot says, “I’ll pray for you,” the simulated “I” making that promise ceases to exist the moment the response completes. There’s no persistent identity to provide ongoing spiritual guidance, and no memory of your spiritual journey beyond what gets fed back into the prompt with every query.

But this is spirituality we’re talking about, and despite technical realities, many people will believe that the chatbots can give them divine guidance. In matters of faith, contradictory evidence rarely shakes a strong belief once it takes hold, whether that faith is placed in the divine or in what are essentially voices emanating from a roll of loaded dice. For many, there may not be much difference.

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modder-injects-ai-dialogue-into-2002’s-animal-crossing-using-memory-hack

Modder injects AI dialogue into 2002’s Animal Crossing using memory hack

But discovering the addresses was only half the problem. When you talk to a villager in Animal Crossing, the game normally displays dialogue instantly. Calling an AI model over the Internet takes several seconds. Willison examined the code and found Fonseca’s solution: a watch_dialogue() function that polls memory 10 times per second. When it detects a conversation starting, it immediately writes placeholder text: three dots with hidden pause commands between them, followed by a “Press A to continue” prompt.

“So the user gets a ‘press A to continue’ button and hopefully the LLM has finished by the time they press that button,” Willison noted in a Hacker News comment. While players watch dots appear and reach for the A button, the mod races to get a response from the AI model and translate it into the game’s dialog format.

Learning the game’s secret language

Simply writing text to memory froze the game. Animal Crossing uses an encoded format with control codes that manage everything from text color to character emotions. A special prefix byte (0x7F) signals commands rather than characters. Without the proper end-of-conversation control code, the game waits forever.

“Think of it like HTML,” Fonseca explains. “Your browser doesn’t just display words; it interprets tags … to make text bold.” The decompilation community had documented these codes, allowing Fonseca to build encoder and decoder tools that translate between a human-readable format and the GameCube’s expected byte sequences.

A screenshot of LLM-powered dialog injected into Animal Crossing for the GameCube.

A screenshot of LLM-powered dialog injected into Animal Crossing for the GameCube. Credit: Joshua Fonseca

Initially, he tried using a single AI model to handle both creative writing and technical formatting. “The results were a mess,” he notes. “The AI was trying to be a creative writer and a technical programmer simultaneously and was bad at both.”

The solution: split the work between two models. A Writer AI creates dialogue using character sheets scraped from the Animal Crossing fan wiki. A Director AI then adds technical elements, including pauses, color changes, character expressions, and sound effects.

The code is available on GitHub, though Fonseca warns it contains known bugs and has only been tested on macOS. The mod requires Python 3.8+, API keys for either Google Gemini or OpenAI, and Dolphin emulator. Have fun sticking it to the man—or the raccoon, as the case may be.

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education-report-calling-for-ethical-ai-use-contains-over-15-fake-sources

Education report calling for ethical AI use contains over 15 fake sources

AI language models like the kind that power ChatGPT, Gemini, and Claude excel at producing exactly this kind of believable fiction when they lack actual information on a topic because they first and foremost produce plausible outputs, not accurate ones. If there are no patterns in the dataset that match what the user is seeking they will create the best approximation based on statistical patterns learned during training. Even AI models that can search the web for real sources can potentially fabricate citations, choose the wrong ones, or mischaracterize them.

“Errors happen. Made-up citations are a totally different thing where you essentially demolish the trustworthiness of the material,” Josh Lepawsky, the former president of the Memorial University Faculty Association who resigned from the report’s advisory board in January, told CBC, citing a “deeply flawed process.”

The irony runs deep

The presence of potentially AI-generated fake citations becomes especially awkward given that one of the report’s 110 recommendations specifically states the provincial government should “provide learners and educators with essential AI knowledge, including ethics, data privacy, and responsible technology use.”

Sarah Martin, a Memorial political science professor who spent days reviewing the document, discovered multiple fabricated citations. “Around the references I cannot find, I can’t imagine another explanation,” she told CBC. “You’re like, ‘This has to be right, this can’t not be.’ This is a citation in a very important document for educational policy.”

When contacted by CBC, co-chair Karen Goodnough declined an interview request, writing in an email: “We are investigating and checking references, so I cannot respond to this at the moment.”

The Department of Education and Early Childhood Development acknowledged awareness of “a small number of potential errors in citations” in a statement to CBC from spokesperson Lynn Robinson. “We understand that these issues are being addressed, and that the online report will be updated in the coming days to rectify any errors.”

Education report calling for ethical AI use contains over 15 fake sources Read More »

openai-and-microsoft-sign-preliminary-deal-to-revise-partnership-terms

OpenAI and Microsoft sign preliminary deal to revise partnership terms

On Thursday, OpenAI and Microsoft announced they have signed a non-binding agreement to revise their partnership, marking the latest development in a relationship that has grown increasingly complex as both companies compete for customers in the AI market and seek new partnerships for growing infrastructure needs.

“Microsoft and OpenAI have signed a non-binding memorandum of understanding (MOU) for the next phase of our partnership,” the companies wrote in a joint statement. “We are actively working to finalize contractual terms in a definitive agreement. Together, we remain focused on delivering the best AI tools for everyone, grounded in our shared commitment to safety.”

The announcement comes as OpenAI seeks to restructure from a nonprofit to a for-profit entity, a transition that requires Microsoft’s approval, as the company is OpenAI’s largest investor, with more than $13 billion committed since 2019.

The partnership has shown increasing strain as OpenAI has grown from a research lab into a company valued at $500 billion. Both companies now compete for customers, and OpenAI seeks more compute capacity than Microsoft can provide. The relationship has also faced complications over contract terms, including provisions that would limit Microsoft’s access to OpenAI technology once the company reaches so-called AGI (artificial general intelligence)—a nebulous milestone both companies now economically define as AI systems capable of generating at least $100 billion in profit.

In May, OpenAI abandoned its original plan to fully convert to a for-profit company after pressure from former employees, regulators, and critics, including Elon Musk. Musk has sued to block the conversion, arguing it betrays OpenAI’s founding mission as a nonprofit dedicated to benefiting humanity.

OpenAI and Microsoft sign preliminary deal to revise partnership terms Read More »

judge:-anthropic’s-$1.5b-settlement-is-being-shoved-“down-the-throat-of-authors”

Judge: Anthropic’s $1.5B settlement is being shoved “down the throat of authors”

At a hearing Monday, US district judge William Alsup blasted a proposed $1.5 billion settlement over Anthropic’s rampant piracy of books to train AI.

The proposed settlement comes in a case where Anthropic could have owed more than $1 trillion in damages after Alsup certified a class that included up to 7 million claimants whose works were illegally downloaded by the AI company.

Instead, critics fear Anthropic will get off cheaply, striking a deal with authors suing that covers less than 500,000 works and paying a small fraction of its total valuation (currently $183 billion) to get away with the massive theft. Defector noted that the settlement doesn’t even require Anthropic to admit wrongdoing, while the company continues raising billions based on models trained on authors’ works. Most recently, Anthropic raised $13 billion in a funding round, making back about 10 times the proposed settlement amount after announcing the deal.

Alsup expressed grave concerns that lawyers rushed the deal, which he said now risks being shoved “down the throat of authors,” Bloomberg Law reported.

In an order, Alsup clarified why he thought the proposed settlement was a chaotic mess. The judge said he was “disappointed that counsel have left important questions to be answered in the future,” seeking approval for the settlement despite the Works List, the Class List, the Claim Form, and the process for notification, allocation, and dispute resolution all remaining unresolved.

Denying preliminary approval of the settlement, Alsup suggested that the agreement is “nowhere close to complete,” forcing Anthropic and authors’ lawyers to “recalibrate” the largest publicly reported copyright class-action settlement ever inked, Bloomberg reported.

Of particular concern, the settlement failed to outline how disbursements would be managed for works with multiple claimants, Alsup noted. Until all these details are ironed out, Alsup intends to withhold approval, the order said.

One big change the judge wants to see is the addition of instructions requiring “anyone with copyright ownership” to opt in, with the consequence that the work won’t be covered if even one rights holder opts out, Bloomberg reported. There should also be instruction that any disputes over ownership or submitted claims should be settled in state court, Alsup said.

Judge: Anthropic’s $1.5B settlement is being shoved “down the throat of authors” Read More »

“first-of-its-kind”-ai-settlement:-anthropic-to-pay-authors-$1.5-billion

“First of its kind” AI settlement: Anthropic to pay authors $1.5 billion

Authors revealed today that Anthropic agreed to pay $1.5 billion and destroy all copies of the books the AI company pirated to train its artificial intelligence models.

In a press release provided to Ars, the authors confirmed that the settlement is “believed to be the largest publicly reported recovery in the history of US copyright litigation.” Covering 500,000 works that Anthropic pirated for AI training, if a court approves the settlement, each author will receive $3,000 per work that Anthropic stole. “Depending on the number of claims submitted, the final figure per work could be higher,” the press release noted.

Anthropic has already agreed to the settlement terms, but a court must approve them before the settlement is finalized. Preliminary approval may be granted this week, while the ultimate decision may be delayed until 2026, the press release noted.

Justin Nelson, a lawyer representing the three authors who initially sued to spark the class action—Andrea Bartz, Kirk Wallace Johnson, and Charles Graeber—confirmed that if the “first of its kind” settlement “in the AI era” is approved, the payouts will “far” surpass “any other known copyright recovery.”

“It will provide meaningful compensation for each class work and sets a precedent requiring AI companies to pay copyright owners,” Nelson said. “This settlement sends a powerful message to AI companies and creators alike that taking copyrighted works from these pirate websites is wrong.”

Groups representing authors celebrated the settlement on Friday. The CEO of the Authors’ Guild, Mary Rasenberger, said it was “an excellent result for authors, publishers, and rightsholders generally.” Perhaps most critically, the settlement shows “there are serious consequences when” companies “pirate authors’ works to train their AI, robbing those least able to afford it,” Rasenberger said.

“First of its kind” AI settlement: Anthropic to pay authors $1.5 billion Read More »

warner-bros.-sues-midjourney-to-stop-ai-knockoffs-of-batman,-scooby-doo

Warner Bros. sues Midjourney to stop AI knockoffs of Batman, Scooby-Doo


AI would’ve gotten away with it too…

Warner Bros. case builds on arguments raised in a Disney/Universal lawsuit.

DVD art for the animated movie Scooby-Doo & Batman: The Brave and the Bold. Credit: Warner Bros. Discovery

Warner Bros. hit Midjourney with a lawsuit Thursday, crafting a complaint that strives to shoot down defenses that the AI company has already raised in a similar lawsuit filed by Disney and Universal Studios earlier this year.

The big film studios have alleged that Midjourney profits off image generation models trained to produce outputs of popular characters. For Disney and Universal, intellectual property rights to pop icons like Darth Vader and the Simpsons were allegedly infringed. And now, the WB complaint defends rights over comic characters like Superman, Wonder Woman, and Batman, as well as characters considered “pillars of pop culture with a lasting impact on generations,” like Scooby-Doo and Bugs Bunny, and modern cartoon characters like Rick and Morty.

“Midjourney brazenly dispenses Warner Bros. Discovery’s intellectual property as if it were its own,” the WB complaint said, accusing Midjourney of allowing subscribers to “pick iconic” copyrighted characters and generate them in “every imaginable scene.”

Planning to seize Midjourney’s profits from allegedly using beloved characters to promote its service, Warner Bros. described Midjourney as “defiant and undeterred” by the Disney/Universal lawsuit. Despite that litigation, WB claimed that Midjourney has recently removed copyright protections in its supposedly shameful ongoing bid for profits. Nothing but a permanent injunction will end Midjourney’s outputs of allegedly “countless infringing images,” WB argued, branding Midjourney’s alleged infringements as “vast, intentional, and unrelenting.”

Examples of closely matching outputs include prompts for “screencaps” showing specific movie frames, a search term that at least one artist, Reid Southen, had optimistically predicted Midjourney would block last year, but it apparently did not.

Here are some examples included in WB’s complaint:

Midjourney’s output for the prompt, “Superman, classic cartoon character, DC comics.”

Midjourney could face devastating financial consequences in a loss. At trial, WB is hoping discovery will show the true extent of Midjourney’s alleged infringement, asking the court for maximum statutory damages, at $150,000 per infringing output. Just 2,000 infringing outputs unearthed could cost Midjourney more than its total revenue for 2024, which was approximately $300 million, the WB complaint said.

Warner Bros. hopes to hobble Midjourney’s best defense

For Midjourney, the WB complaint could potentially hit harder than the Disney/Universal lawsuit. WB’s complaint shows how closely studios are monitoring AI copyright litigation, likely choosing ideal moments to strike when studios feel they can better defend their property. So, while much of WB’s complaint echoes Disney and Universal’s arguments—which Midjourney has already begun defending against—IP attorney Randy McCarthy suggested in statements provided to Ars that WB also looked for seemingly smart ways to potentially overcome some of Midjourney’s best defenses when filing its complaint.

WB likely took note when Midjourney filed its response to the Disney/Universal lawsuit last month, arguing that its system is “trained on billions of publicly available images” and generates images not by retrieving a copy of an image in its database but based on “complex statistical relationships between visual features and words in the text-image pairs are encoded within the model.”

This defense could allow Midjourney to avoid claims that it copied WB images and distributes copies through its models. But hoping to dodge this defense, WB didn’t argue that Midjourney retains copies of its images. Rather, the entertainment giant raised a more nuanced argument that:

Midjourney used software, servers, and other technology to store and fix data associated with Warner Bros. Discovery’s Copyrighted Works in such a manner that those works are thereby embodied in the model, from which Midjourney is then able to generate, reproduce, publicly display, and distribute unlimited “copies” and “derivative works” of Warner Bros. Discovery’s works as defined by the Copyright Act.”

McCarthy noted that WB’s argument pushes the court to at least consider that even though “Midjourney does not store copies of the works in its model,” its system “nonetheless accesses the data relating to the works that are stored by Midjourney’s system.”

“This seems to be a very clever way to counter MJ’s ‘statistical pattern analysis’ arguments,” McCarthy said.

If it’s a winning argument, that could give WB a path to wipe Midjourney’s models. WB argued that each time Midjourney provides a “substantially new” version of its image generator, it “repeats this process.” And that ongoing activity—due to Midjourney’s initial allegedly “massive copying” of WB works—allows Midjourney to “further reproduce, publicly display, publicly perform, and distribute image and video outputs that are identical or virtually identical to Warner Bros. Discovery’s Copyrighted Works in response to simple prompts from subscribers.”

Perhaps further strengthening the WB’s argument, the lawsuit noted that Midjourney promotes allegedly infringing outputs on its 24/7 YouTube channel and appears to have plans to compete with traditional TV and streaming services. Asking the court to block Midjourney’s outputs instead, WB claims it’s already been “substantially and irreparably harmed” and risks further damages if the AI image generator is left unchecked.

As alleged proof that the AI company knows its tool is being used to infringe WB property, WB pointed to Midjourney’s own Discord server and subreddit, where users post outputs depicting WB characters and share tips to help others do the same. They also called out Midjourney’s “Explore” page, which allows users to drop a WB-referencing output into the prompt field to generate similar images.

“It is hard to imagine copyright infringement that is any more willful than what Midjourney is doing here,” the WB complaint said.

WB and Midjourney did not immediately respond to Ars’ request to comment.

Midjourney slammed for promising “fewer blocked jobs”

McCarthy noted that WB’s legal strategy differs in other ways from the arguments Midjourney’s already weighed in the Disney/Universal lawsuit.

The WB complaint also anticipates Midjourney’s likely defense that users are generating infringing outputs, not Midjourney, which could invalidate any charges of direct copyright infringement.

In the Disney/Universal lawsuit, Midjourney argued that courts have recently found that AI tools referencing copyrighted works is “a quintessentially transformative fair use,” accusing studios of trying to censor “an instrument for user expression.” They claim that Midjourney cannot know about infringing outputs unless studios use the company’s DMCA process, while noting that subscribers have “any number of legitimate, noninfringing grounds to create images incorporating characters from popular culture,” including “non-commercial fan art, experimentation and ideation, and social commentary and criticism.”

To avoid losing on that front, the WB complaint doesn’t depend on a ruling that Midjourney directly infringed copyrights. Instead, the complaint “more fully” emphasizes how Midjourney may be “secondarily liable for infringement via contributory, inducement and/or vicarious liability by inducing its users to directly infringe,” McCarthy suggested.

Additionally, WB’s complaint “seems to be emphasizing” that Midjourney “allegedly has the technical means to prevent its system from accepting prompts that directly reference copyrighted characters,” and “that would prevent infringing outputs from being displayed,” McCarthy said.

The complaint noted that Midjourney is in full control of what outputs can be generated. Noting that Midjourney “temporarily refused to ‘animate'” outputs of WB characters after launching video generations, the lawsuit appears to have been filed in response to Midjourney “deliberately” removing those protections and then announcing that subscribers would experience “fewer blocked jobs.”

Together, these arguments “appear to be intended to lead to the inference that Midjourney is willfully enticing its users to infringe,” McCarthy said.

WB’s complaint details simple user prompts that generate allegedly infringing outputs without any need to manipulate the system. The ease of generating popular characters seems to make Midjourney a destination for users frustrated by other AI image generators that make it harder to generate infringing outputs, WB alleged.

On top of that, Midjourney also infringes copyrights by generating WB characters, “even in response to generic prompts like ‘classic comic book superhero battle.'” And while Midjourney has seemingly taken steps to block WB characters from appearing on its “Explore” page, where users can find inspiration for prompts, these guardrails aren’t perfect, but rather “spotty and suspicious,” WB alleged. Supposedly, searches for correctly spelled character names like “Batman” are blocked, but any user who accidentally or intentionally mispells a character’s name like “Batma” can learn an easy way to work around that block.

Additionally, WB alleged, “the outputs often contain extensive nuance and detail, background elements, costumes, and accessories beyond what was specified in the prompt.” And every time that Midjourney outputs an allegedly infringing image, it “also trains on the outputs it has generated,” the lawsuit noted, creating a never-ending cycle of continually enhanced AI fakes of pop icons.

Midjourney could slow down the cycle and “minimize” these allegedly infringing outputs, if it cannot automatically block them all, WB suggested. But instead, “Midjourney has made a calculated and profit-driven decision to offer zero protection for copyright owners even though Midjourney knows about the breathtaking scope of its piracy and copyright infringement,” WB alleged.

Fearing a supposed scheme to replace WB in the market by stealing its best-known characters, WB accused Midjourney of willfully allowing WB characters to be generated in order to “generate more money for Midjourney” to potentially compete in streaming markets.

Midjourney will remove protections “on a whim”

As Midjourney’s efforts to expand its features escalate, WB claimed that trust is lost. Even if Midjourney takes steps to address rightsholders’ concerns, WB argued, studios must remain watchful of every upgrade, since apparently, “Midjourney can and will remove copyright protection measures on a whim.”

The complaint noted that Midjourney just this week announced “plans to continue deploying new versions” of its image generator, promising to make it easier to search for and save popular artists’ styles—updating a feature that many artists loathe.

Without an injunction, Midjourney’s alleged infringement could interfere with WB’s licensing opportunities for its content, while “illegally and unfairly” diverting customers who buy WB products like posters, wall art, prints, and coloring books, the complaint said.

Perhaps Midjourney’s strongest defense could be efforts to prove that WB benefits from its image generator. In the Disney/Universal lawsuit, Midjourney pointed out that studios “benefit from generative AI models,” claiming that “many dozens of Midjourney subscribers are associated with” Disney and Universal corporate email addresses. If WB corporate email addresses are found among subscribers, Midjourney could claim that WB is trying to “have it both ways” by “seeking to profit” from AI tools while preventing Midjourney and its subscribers from doing the same.

McCarthy suggested it’s too soon to say how the WB battle will play out, but Midjourney’s response will reveal how it intends to shift tactics to avoid courts potentially picking apart its defense of its training data, while keeping any blame for copyright-infringing outputs squarely on users.

“As with the Disney/Universal lawsuit, we need to wait to see how Midjourney answers these latest allegations,” McCarthy said. “It is definitely an interesting development that will have widespread implications for many sectors of our society.”

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

Warner Bros. sues Midjourney to stop AI knockoffs of Batman, Scooby-Doo Read More »

chatgpt’s-new-branching-feature-is-a-good-reminder-that-ai-chatbots-aren’t-people

ChatGPT’s new branching feature is a good reminder that AI chatbots aren’t people

On Thursday, OpenAI announced that ChatGPT users can now branch conversations into multiple parallel threads, serving as a useful reminder that AI chatbots aren’t people with fixed viewpoints but rather malleable tools you can rewind and redirect. The company released the feature for all logged-in web users following years of user requests for the capability.

The feature works by letting users hover over any message in a ChatGPT conversation, click “More actions,” and select “Branch in new chat.” This creates a new conversation thread that includes all the conversation history up to that specific point, while preserving the original conversation intact.

Think of it almost like creating a new copy of a “document” to edit while keeping the original version safe—except that “document” is an ongoing AI conversation with all its accumulated context. For example, a marketing team brainstorming ad copy can now create separate branches to test a formal tone, a humorous approach, or an entirely different strategy—all stemming from the same initial setup.

A screenshot of conversation branching in ChatGPT. OpenAI

The feature addresses a longstanding limitation in the AI model where ChatGPT users who wanted to try different approaches had to either overwrite their existing conversation after a certain point by changing a previous prompt or start completely fresh. Branching allows exploring what-if scenarios easily—and unlike in a human conversation, you can try multiple different approaches.

A 2024 study conducted by researchers from Tsinghua University and Beijing Institute of Technology suggested that linear dialogue interfaces for LLMs poorly serve scenarios involving “multiple layers, and many subtasks—such as brainstorming, structured knowledge learning, and large project analysis.” The study found that linear interaction forces users to “repeatedly compare, modify, and copy previous content,” increasing cognitive load and reducing efficiency.

Some software developers have already responded positively to the update, with some comparing the feature to Git, the version control system that lets programmers create separate branches of code to test changes without affecting the main codebase. The comparison makes sense: Both allow you to experiment with different approaches while preserving your original work.

ChatGPT’s new branching feature is a good reminder that AI chatbots aren’t people Read More »