"Anthropic may have lost out on doing business with the US government," reports Engadget, "but it's gained enough popularity to earn the number one spot on the App Store's Top Free Apps leaderboard."

Anthropic's Claude AI assistant had already leaped to the #2 slot on Apple's chart by late Friday," CNBC reported Saturday: The rise in popularity suggests that Anthropic is benefiting from its presence in news headlines, stemming from its refusal to have its models used for mass domestic surveillance or for fully autonomous weapons... OpenAI's ChatGPT sat at No. 1 on the App Store rankings on Saturday, while Google's Gemini was at No. 3... On Jan. 30, [Claude] was ranked No. 131 in the U.S., and it bounced between the top 20 and the top 50 for much of February, according to data from analytics company Sensor Tower... [And Friday night, for 85.3 million followers] pop singer Katy Perry posted a screenshot of Anthropic's Pro subscription for consumers, with a heart superimposed over it.
Sunday Engadget reported Anthropic's "very public spat" with the Pentagon "led to a wave of user support that finally allowed Claude to dethrone OpenAI's ChatGPT on the App Store as the most downloaded free app."

. Friday Anthropic posted "We are deeply grateful to our users, and to the industry peers, policymakers, veterans, and members of the public who have voiced their support in recent days. Thank you. "

Friday was "a horrible day" for investors in Duolingo, reports Fast Company. But Friday's one-day 14% drop is just part of a longer story.

Since last May, Duolingo's stock has dropped 81%. Yes, the company faced a social media backlash that month after its CEO promised they'd become an "AI-first" company (favoring AI over human contractors). And yes, Duolingo did double its language offerings using generative AI. But more importantly, that summer OpenAI showed how easy it was to just roll your own language-learning tool from a short prompt in a GPT-5 demo, while Google built an AI-powered language-learning tool into its Translate app.

And yet, Friday Duolingo's shares dropped another 14%, after announcing good fourth quarter results but an unpopular direction for its future. Fast Company reports: On the surface, many of the company's most critical metrics saw decent gains for the quarter, including:

— Daily Active Users: 52.7 million (up 30% year-over-year)
— Paid Subscribers: 12.2 million (up 28% year-over-year)
— Revenue: $282.9 million (up 35% year-over-year)
— Total bookings: $336.8 million (up 24% year-over-year)

The company also reported its full-year 2025 financials, revealing that for the first time in its history, it crossed the $1 billion revenue mark for a fiscal year.
But the Motley Fool explains that Duolingo's higher ad loads and repeated pushes for subscription plans "generated revenues in the short term, but made the Duolingo platform less engaging. Ergo, user growth decelerated while revenues rose." Thursday Duolingo announced a big change to address that, including moving more features into lower-priced tiers. Barron's reports: D.A. Davidson analyst Wyatt Swanson, who rates Duolingo stock at Neutral, posited that the push to monetize "led to disgruntled users and a meaningful negative impact to 'word-of-mouth' marketing." Duolingo has guided for bookings growth between 10% and 12% in 2026, compared with the 20% rate the company would have expected to see "if we operated like we have in past years...." If stock reaction is any indication, investors are concerned about Duolingo's new focus.

Interesting Engineering reports: US tech giant Google announced on Tuesday that it will build a new data center in Pine Island, Minnesota. The new facility will be powered by 1.9 gigawatts (GW) of clean energy from wind and solar, coupled with a 300-megawatt battery, claimed to be the 'world's largest', with a 30-gigawatt-hour (GWh) capacity and 100-hour duration... The planned battery would dwarf a 19 GW lithium-ion project in the UAE...

Form Energy's batteries work very differently from most large batteries today. Instead of using lithium like the batteries in electric cars, they store electricity by making iron rust and then reversing the rusting process to release the energy when needed... Form's iron-air batteries are heavier and less efficient than their counterparts; they can only return about 50% to 70% of the energy used to charge them, while lithium-ion batteries return more than 90%. However, Form's batteries have one distinct advantage. They are cheaper than lithium-ion batteries, costing about $20 per kilowatt-hour of storage, which is almost three times as cheap... It will store 150 MWh of electricity and can supply to the grid for up to 100 hours, delivering about 1.5 MW at peak output.
Thanks to long-time Slashdot reader schwit1 for sharing the article.

An anonymous reader quotes a report from Ars Technica: Google on Friday unveiled its plan for its Chrome browser to secure HTTPS certificates against quantum computer attacks without breaking the Internet. The objective is a tall order. The quantum-resistant cryptographic data needed to transparently publish TLS certificates is roughly 40 times bigger than the classical cryptographic material used today. Today's X.509 certificates are about 64 bytes in size, and comprise six elliptic curve signatures and two EC public keys. This material can be cracked through the quantum-enabled Shor's algorithm. Certificates containing the equivalent quantum-resistant cryptographic material are roughly 2.5 kilobytes. All this data must be transmitted when a browser connects to a site.

To bypass the bottleneck, companies are turning to Merkle Trees, a data structure that uses cryptographic hashes and other math to verify the contents of large amounts of information using a small fraction of material used in more traditional verification processes in public key infrastructure. Merkle Tree Certificates, "replace the heavy, serialized chain of signatures found in traditional PKI with compact Merkle Tree proofs," members of Google's Chrome Secure Web and Networking Team wrote Friday. "In this model, a Certification Authority (CA) signs a single 'Tree Head' representing potentially millions of certificates, and the 'certificate' sent to the browser is merely a lightweight proof of inclusion in that tree."

[...] Google is [also] adding cryptographic material from quantum-resistant algorithms such as ML-DSA (PDF). This addition would allow forgeries only if an attacker were to break both classical and post-quantum encryption. The new regime is part of what Google is calling the quantum-resistant root store, which will complement the Chrome Root Store the company formed in 2022. The [Merkle Tree Certificates] MTCs use Merkle Trees to provide quantum-resistant assurances that a certificate has been published without having to add most of the lengthy keys and hashes. Using other techniques to reduce the data sizes, the MTCs will be roughly the same 64-byte length they are now [...]. The new system has already been implemented in Chrome.

South Korea has reversed a two-decade policy and approved the export of high-precision map data, paving the way for a fully functional Google Maps in the country. Reuters reports: The approval was made "on the condition that strict security requirements are met," the Ministry of Land, Infrastructure and Transport said in a statement. Those conditions include blurring military and other sensitive security-related facilities, as well as restricting longitude and latitude coordinates for South Korean territory on products such as Google Maps and Google Earth, it said.

The decision is expected to hurt Naver and Kakao -- local internet giants which currently dominate the country's market for digital map services. But it will appease Washington, which has urged Seoul to tackle what it says is discrimination against U.S. tech companies. South Korea, still technically at war with North Korea, had shot down Google's previous bids in 2007 and 2016 to be allowed to export the data, citing the risks that information about sensitive military and security facilities could be exposed. "Google can now come in, slash usage fees, and take the market," said Choi Jin-mu, a geography professor at Kyung Hee University. "If Naver and Kakao are weakened or pushed out and Google later raises prices, that becomes a monopoly. Then, even companies that rely on map services -- logistics firms, for example -- become dependent, and in the long run, even government GIS (geographic information) systems could end up dependent on Google or Apple. That's the biggest concern."

An anonymous reader shares a column: I'm going to take the diplomatic hat off here and say with brutal honesty: basically everybody in the music business hates Spotify except for the people who work there. It's a platform that sucks artists for everything they have, it actively prevents community building, and, despite all of that, the platform still struggles to maintain a healthy profit margin.

The streaming business model is fundamentally broken. And eventually, its demise will become more and more obvious to recognize. I'll break down exactly why the DSP era is coming to a grinding halt, why the major labels are quietly terrified, and why the artists who don't pivot now are going to go down with the ship.

[...] Jimmy Iovine put it bluntly: "The streaming services have a bad situation, there's no margins, they're not making any money." This model only works for Apple, Amazon, and Google, because they don't need their music platforms to be wildly profitable. Amazon uses music as a loss-leader to keep you paying for Prime. Apple uses it to sell $1,000 iPhones. As for Spotify, or any standalone music streaming company, they're kind of screwed. And guess what -- when the platform's margins are structurally squeezed, guess who gets squeezed first? The artists.

[...] What if Jimmy is right? If the DSPs are "minutes away from obsolete," what replaces them? Well, I'm not sure the DSPs are going to disappear overnight, but if you're an artist or a manager trying to sustain yourself in this evolving music economy, the answer is direct ownership. The artists who will survive the next five years are the ones who are quietly shifting their focus away from the "ATM Machine."

They are building their own cultural hangars. They are capturing phone numbers on Laylo. They are driving fans to private Discord servers. They are focusing on ARPF (Average Revenue Per Fan) through high-margin merch, vinyl, and hard tickets, rather than begging for fractions of a penny from a playlist placement. We are witnessing the death of the "Mass Audience" and the birth of the "Micro-Community."

An anonymous reader shares a report: OpenAI CEO Sam Altman wrote in a memo to staff that he will draw the same red lines that sparked a high-stakes fight between rival Anthropic and the Pentagon: no AI for mass surveillance or autonomous lethal weapons. If other leading firms like Google follow suit, this could massively complicate the Pentagon's efforts to replace Anthropic's Claude, which was the first model integrated into the military's most sensitive work. It would also be the first time the nation's top AI leaders have taken a collective stand about how the U.S. government can and can't use their technology.

Altman made clear he still wants to strike a deal with the Pentagon that would allow ChatGPT to be used for sensitive military contexts. Despite the show of solidarity, such a deal could see OpenAI replace Anthropic if the Pentagon follows through with its plan to declare the latter a "supply chain risk."

Bright Data, a company that operates one of the world's largest residential proxy networks, has been running an SDK inside smart TV apps that turns those devices into nodes for web crawling -- collecting data used by AI companies, among other clients -- and most consumers have had no idea it was happening.

The company has published more than 200 first-party apps to LG's app store alone and still lists Samsung's Tizen OS and LG's webOS as supported platforms, though LG says the SDK is "not officially supported" and its operation on webOS "is not guaranteed." Google, Amazon, and Roku have all since adopted policies restricting or banning background proxy SDKs, and Bright Data no longer supports those platforms.

Several Roku apps still running the SDK disappeared from the store after a journalist with The Verge behind this reporting contacted the company.

An anonymous reader quotes a report from the Associated Press: Anthropic CEO Dario Amodei said Thursday the artificial intelligence company "cannot in good conscience accede" to the Pentagon's demands to allow wider use of its technology. The maker of the AI chatbot Claude said in a statement that it's not walking away from negotiations, but that new contract language received from the Defense Department "made virtually no progress on preventing Claude's use for mass surveillance of Americans or in fully autonomous weapons."

The Pentagon's top spokesman has reiterated that the military wants to use Anthropic's artificial intelligence technology in legal ways and will not let the company dictate any limits ahead of a Friday deadline to agree to its demands. Sean Parnell said Thursday on social media that the Pentagon "has no interest in using AI to conduct mass surveillance of Americans (which is illegal) nor do we want to use AI to develop autonomous weapons that operate without human involvement."

Anthropic's policies prevent its models, such as its chatbot Claude, from being used for those purposes. It's the last of its peers -- the Pentagon also has contracts with Google, OpenAI and Elon Musk's xAI -- to not supply its technology to a new U.S. military internal network. Parnell said the Pentagon wants to "use Anthropic's model for all lawful purposes" but didn't offer details on what that entailed. He said opening up use of the technology would prevent the company from "jeopardizing critical military operations." "We will not let ANY company dictate the terms regarding how we make operational decisions," he said. In a post on X, Parnell said Anthropic will "have until 5:01 PM ET on Friday to decide. Otherwise, we will terminate our partnership with Anthropic and deem them a supply chain risk for DOW."

Google has launched Nano Banana 2 (Gemini 3.1 Flash Image), a faster, more realistic image generation model that becomes the default across Gemini, Search, Lens, and Flow. TechCrunch reports: The new Nano Banana 2 retains some of the high-fidelity characteristics of the Pro model but produces images faster. The company says you can create images with a resolution ranging from 512px to 4K, in different aspect ratios. Nano Banana 2 can maintain character consistency for up to five characters and fidelity of up to 14 objects in one workflow for better storytelling. Users can also issue complex requests with detailed nuances for image generation, Google says. In addition, users can create media with more vibrant lighting, richer textures, and sharper detail.

[...] On Google's higher-end plans, Google AI Pro and Ultra, subscribers can continue to use Nano Banana Pro for specialized tasks by regenerating images via the three-dot menu. [...] The company said that all images created through the new model will have a SynthID watermark, which is Google's mark to denote AI-generated images. The images are also interoperable with C2PA Content Credentials, created by an industry body consisting of companies like Adobe, Microsoft, Google, OpenAI, and Meta. Google said that since launching the SynthID verification in the Gemini app in November, people have used it over 20 million times.

Tech companies ranging from 300-person startups to giants like Amazon, Google, Meta, Microsoft and Salesforce have moved beyond encouraging employees to use AI tools and are now actively tracking adoption and, in several cases, tying it to performance reviews. Google is factoring AI use into some software engineer reviews for the first time this year, and Meta's new performance review system will do the same -- it can track how many lines of code an engineer wrote with AI assistance.

Amazon Web Services managers have dashboards showing individual engineer AI-tool usage and consider adoption when evaluating promotions. About 42% of tech-industry workers said their direct manager expects AI use in daily work as of last October, up from 32% eight months earlier, according to AI consulting firm Section. At software maker Autodesk, CEO Andrew Anagnost acknowledged that some employees had been using initially blocked coding tools like Cursor stealthily -- and warned that AI holdouts "probably won't survive long term."

Google and Microsoft contributed $5 million to launch Alpha-Omega in 2022 — a Linux Foundation project to help secure the open source supply chain. But its co-founder Michael Winser warns that open source registries are in financial peril, reports The Register, since they're still relying on non-continuous funding from grants and donations.

And it's not just because bandwidth is expensive, he said at this year's FOSDEM. "The problem is they don't have enough money to spend on the very security features that we all desperately need..." In a follow-up LinkedIn exchange after this article had posted, Winser estimated it could cost $5 million to $8 million a year to run a major registry the size of Crates.io, which gets about 125 billion downloads a year. And this number wouldn't include any substantial bandwidth and infrastructure donations (Like Fastly's for Crates.io). Adding to that bill is the growing cost of identifying malware, the proliferation of which has been amplified through the use of AI and scripts. These repositories have detected 845,000 malware packages from 2019 to January 2025 (the vast majority of those nasty packages came to npm)...

In some cases benevolent parties can cover [bandwidth] bills: Python's PyPI registry bandwidth needs for shipping copies of its 700,000+ packages (amounting to 747PB annually at a sustained rate of 189 Gbps) are underwritten by Fastly, for instance. Otherwise, the project would have to pony up about $1.8 million a month. Yet the costs Winser was most concerned about are not bandwidth or hosting; they are the security features needed to ensure the integrity of containers and packages. Alpha-Omega underwrites a "distressingly" large amount of security work around registries, he said. It's distressing because if Alpha-Omega itself were to miss a funding round, a lot of registries would be screwed. Alpha-Omega's recipients include the Python Software Foundation, Rust Foundation, Eclipse Foundation, OpenJS Foundation for Node.js and jQuery, and Ruby Central.

Donations and memberships certainly help defray costs. Volunteers do a lot of what otherwise would be very expensive work. And there are grants about...Winser did not offer a solution, though he suggested the key is to convince the corporate bean counters to consider paid registries as "a normal cost of doing business and have it show up in their opex as opposed to their [open source program office] donation budget."
The dilemma was summed up succinctly by the anonymous Slashdot reader who submitted this story.

"Free beer is great. Securing the keg costs money!"

OpenAI faces four fundamental strategic problems that no amount of fundraising or capex announcements can paper over, according to analyst Benedict Evans: it has no unique technology, its enormous user base is shallow and fragile, incumbents like Google and Meta are leveraging superior distribution to close the gap, and its product roadmap is dictated by whatever the research labs happen to discover rather than by deliberate product strategy.

The company claims 800-900 million weekly active users, but 80% of them sent fewer than 1,000 messages across all of 2025, averaging fewer than three prompts a day, and only 5% pay. OpenAI has acknowledged what it calls a "capability gap" between what models can do and what people use them for -- a framing Evans reads as a polite way to avoid admitting the absence of product-market fit. Gemini and Meta AI are meanwhile gaining share rapidly because the products look nearly indistinguishable to typical users, and Google and Meta already have the distribution to push them. Evans compares ChatGPT to Netscape -- an early leader in a category where the products were hard to tell apart, overtaken by a competitor that used distribution as a crowbar.

On capex, Evans argues that Altman's ambitions -- claiming $1.4 trillion and 30 gigawatts of future compute -- amount to an attempt to will OpenAI into a seat at a table where annual infrastructure spending may need to reach hundreds of billions. But a seat at the table is not leverage over it; he compares this to TSMC, which holds a de facto chip monopoly yet captures little value further up the stack.

OpenAI's own strategy diagrams from late last year laid out a full-stack platform vision -- chips, models, developer tools, consumer products -- each layer reinforcing the others. Evans argues this borrows the language of Windows and iOS without possessing any of the underlying dynamics: no network effect, no lock-in preventing developers from calling a different model's API, and no reason customers would know or care which foundation model powers the product they are using.

Google has introduced Gemini 3.1 Pro, a reasoning-focused upgrade aimed at more complex problem-solving. 9to5Google reports: This .1 increment is a first for Google, with the past two generations seeing .5 as the mid-year model update. (2.5 Pro was first announced in March and saw further updates in May for I/O.) Google says Gemini 3.1 Pro "represents a step forward in core reasoning." The "upgraded core intelligence" that debuted last week with Gemini 3 Deep Think is now available in Gemini 3.1 Pro for more users. This model achieves an ARC-AGI-2 score of 77.1%, or "more than double the reasoning performance of 3 Pro."

This "advanced reasoning" translates to practical applications like when "you're looking for a clear, visual explanation of a complex topic, a way to synthesize data into a single view, or bringing a creative project to life." 3.1 Pro is designed for tasks where a simple answer isn't enough, taking advanced reasoning and making it useful for your hardest challenges.

An anonymous reader quotes a report from the Guardian: Tech companies are conflating traditional artificial intelligence with generative AI when claiming the energy-hungry technology could help avert climate breakdown, according to a report. Most claims that AI can help avert climate breakdown refer to machine learning and not the energy-hungry chatbots and image generation tools driving the sector's explosive growth of gas-guzzling datacenters, the analysis of 154 statements found.

The research, commissioned by nonprofits including Beyond Fossil Fuels and Climate Action Against Disinformation, did not find a single example where popular tools such as Google's Gemini or Microsoft's Copilot were leading to a "material, verifiable, and substantial" reduction in planet-heating emissions. Ketan Joshi, an energy analyst and author of the report, said the industry's tactics were "diversionary" and relied on tried and tested methods that amount to "greenwashing."

He likened it to fossil fuel companies advertising their modest investments in solar panels and overstating the potential of carbon capture. "These technologies only avoid a minuscule fraction of emissions relative to the massive emissions of their core business," said Joshi. "Big tech took that approach and upgraded and expanded it." [...] Joshi said the discourse around AI's climate benefits needed to be "brought back to reality." "The false coupling of a big problem and a small solution serves as a distraction from the very preventable harms being done through unrestricted datacenter expansion," he said.

Google's Pixel 10a is essentially a flatter version of last year's Pixel 9a, keeping the same Tensor G4 chip, camera hardware, RAM, storage, and $500 price while dropping features like Pixelsnap Qi2 charging and advanced Gemini AI capabilities found in higher-end models. Gizmodo reports: We use words like "candy bar" or "slab" to describe our full-screen smartphones, but Google has designed what is likely the slabbiest phone of the modern era. During an hour-long hands-on with Google's all-new Google Pixel 10a, I slid the phone across a desk and felt oddly satisfied that it could glide as neatly as a figure skater without any hint of a camera bump hindering its path. It's the first thing I need to bring up regarding the Pixel 10a, because there's no other discernible difference between this phone and the previous-gen Pixel 9a.

And that seems to be the point. The Pixel 10a starts at $500, exactly how much the Pixel 9a cost at launch. In a Q&A with journalists, Google told Gizmodo that the company wanted to offer the same price point as before. That apparently required Google to stick with the same Tensor G4 chip as last year. You still have the same storage options of 128GB or 256GB and the minimum of 8GB of RAM. Think of the Pixel 10a as a Pixel 9a with a reduced camera bump. If you're one of the heretics who uses a phone without a case, that fact alone may be enough to pay attention. Otherwise, you'll be scrounging to find any real difference between the Pixel 10a and one of last year's best mid-range phones.

Google is bringing its Lyria 3 AI music model into the Gemini app, allowing users to generate 30-second songs from text, images, or video prompts directly within the chatbot. The Verge reports: Lyria 3's text-to-music capabilities allow Gemini app users to make songs by describing specific genres, moods, or memories, such as asking for an "Afrobeat track for my mother about the great times we had growing up." The music generator can make instrumental audio and songs with lyrics composed automatically based on user prompts. Users can also upload photographs and video references, which Gemini then uses to generate a track with lyrics that fit the vibe.

"The goal of these tracks isn't to create a musical masterpiece, but rather to give you a fun, unique way to express yourself," Google said in its announcement blog. Gemini will add custom cover art generated by Nano Banana to songs created on the app, which aims to make them easier to share and download. Google is also bringing Lyria 3 to YouTube's Dream Track tool, which allows creators to make custom AI soundtracks for Shorts.

Dream Track and Lyria were initially demonstrated with the ability to mimic the style and voice of famous performers. Google says it's been "very mindful" of copyright in the development of Lyria 3 and that the tool "is designed for original expression, not for mimicking existing artists." When prompted for a specific artist, Gemini will make a track that "shares a similar style or mood" and uses filters to check outputs against existing content.

WordPress has started rolling out an AI assistant built into its site editor and media library that can edit and translate text, generate and edit images through Google's Nano Banana model, and make structural changes to sites like creating new pages or swapping fonts.

Users can also invoke the assistant by tagging "@ai" in block notes, a commenting feature added to the site editor in December's WordPress 6.9 update. The tool is opt-in -- users need to toggle on "AI tools" in their site settings -- though sites originally created using WordPress's AI website builder, launched last year, will have it enabled by default.

According to Bloomberg's Mark Gurman (paywalled), Apple is reportedly developing AI-powered smart glasses, a wearable pendant, and camera-equipped AirPods that connect to the iPhone and use "visual context" to let Siri perform real-world actions. The Verge reports: Apple is reportedly aiming to start production of its smart glasses in December, ahead of a 2027 launch. The new device will compete directly with Meta's lineup of smart glasses and is rumored to feature speakers, microphones, and a high-resolution camera for taking photos and videos, in addition to another lens designed to enable AI-powered features.

The glasses won't have a built-in display, but they will allow users to make phone calls, interact with Siri, play music, and "take actions based on surroundings," such as asking about the ingredients in a meal, according to Bloomberg. Apple's smart glasses could also help users identify what they're seeing, reference landmarks when offering directions, and remind wearers to complete a task in specific situations, Bloomberg reports.

The company is reportedly planning to develop the frames for the smart glasses in-house, instead of partnering with a third-party company like Meta does with Ray-Ban and Oakley. Prototypes of the glasses use a cable to connect to a battery pack and an iPhone, but Bloomberg reports that "newer versions have the components embedded in the frame." Apple reportedly wants to make its smart glasses stand out by offering a high-quality build and advanced camera technology. The company is still working on AI-powered smart glasses with a display, though their launch "remains many years away," Bloomberg says.

Apple's plans for AI hardware don't end there, as the company is expected to build upon its Google Gemini-powered Siri upgrade with an AirTag-sized AI pendant that people can either wear as a necklace or a pin. This device would "essentially serve as an always-on camera" for the iPhone and has a microphone for prompting Siri, Bloomberg reports. The pendant, which The Information first reported on last month, is rumored to come with a built-in chip, but will mainly rely on the iPhone's processing power. The device could arrive as early as next year, according to Bloomberg.

An anonymous reader quotes a report from the Washington Post: David Greene had never heard of NotebookLM, Google's buzzy artificial intelligence tool that spins up podcasts on demand, until a former colleague emailed him to ask if he'd lent it his voice. "So... I'm probably the 148th person to ask this, but did you license your voice to Google?" the former co-worker asked in a fall 2024 email. "It sounds very much like you!"

Greene, a public radio veteran who has hosted NPR's "Morning Edition" and KCRW's political podcast "Left, Right & Center," looked up the tool, listening to the two virtual co-hosts -- one male and one female -- engage in light banter. "I was, like, completely freaked out," Greene said. "It's this eerie moment where you feel like you're listening to yourself." Greene felt the male voice sounded just like him -- from the cadence and intonation to the occasional "uhhs" and "likes" that Greene had worked over the years to minimize but never eliminated. He said he played it for his wife and her eyes popped.

As emails and texts rolled in from friends, family members and co-workers, asking if the AI podcast voice was his, Greene became convinced he'd been ripped off. Now he's suing Google, alleging that it violated his rights by building a product that replicated his voice without payment or permission, giving users the power to make it say things Greene would never say. Google told The Washington Post in a statement on Thursday that NotebookLM's male podcast voice has nothing to do with Greene. Now a Santa Clara County, California, court may be asked to determine whether the resemblance is uncanny enough that ordinary people hearing the voice would assume it's his -- and if so, what to do about it. Greene's lawsuit cites an unnamed AI forensic firm that used its software to compare the artificial voice to Greene's. It gave a confidence rating of 53-60% that Greene's voice was used to train the model, which it considers "relatively high" confidence.

"If I was David Greene I would be upset, not just because they stole my voice," but because they used it to make the podcasting equivalent of AI "slop," said Mike Pesca, host of "The Gist" podcast and a former colleague of Greene's at NPR. "They have banter, but it's very surface-level, un-insightful banter, and they're always saying, 'Yeah, that's so interesting.' It's really bad, because what do we as show hosts have except our taste in commentary and pointing our audience to that which is interesting?"