The first Gemini desktop app, now on Mac

There’s currently no Google search app for macOS, but Google has the AI side covered with the new Gemini app. This is the company’s first standalone desktop app for accessing Gemini. Google’s Josh Woodward says Google has been getting requests for a native Mac app, so the company put together a small team to build one. It didn’t even take very long, with less than 100 days to deliver a supposed 100-plus features on Mac. CEO Sundar Pichai says it was built entirely using Google Antigravity.

Opening the app is similar to how you access the Windows search app—hit Option + Space at any time to pull up a Gemini prompt bar. You can ask general questions like you would the web version of Gemini, but it can also access your windows for additional context. Again, that’s similar to the Windows app, with a greater focus on AI.

Gemini for Mac has just about every feature of Gemini on the web.

Credit: Google

The Mac Gemini app, which is coded entirely in Swift, includes a full spate of Gemini features and model types. You can upload files, create notebooks, and access tools like Deep Research and Canvas right on your desktop. It also has access to image-, video-, and music-generation models. More features are apparently on the way, too.

Even if you like generative AI, Google’s method of distribution may be a dealbreaker. As of now, the company has opted not to list the app in the App Store for Mac. Instead, you have to download and install a DMG file from Google’s website. This one is available in all regions and languages with Gemini support.

https://arstechnica.com/gadgets/2026/04/google-launches-search-app-for-windows-gemini-app-for-mac/

Robots such as Boston Dynamics’ four-legged Spot can now accurately read analog thermometers and pressure gauges while roaming around factories and warehouses. Those improvements come courtesy of Google DeepMind’s newest robotic AI model that aims to enhance robotic capabilities for ‘embodied reasoning’ when interacting with physical environments.

The new Gemini Robotics-ER 1.6 model announced on April 14 performs as a “high-level reasoning model for a robot” that can plan and execute tasks, according to Google DeepMind. This model also unlocks the capability of accurately reading instruments such as complex gauges and doing visual inspections using sight glasses that provide a transparent window to peek inside tanks and pipes—a performance upgrade that came about through Google DeepMind’s ongoing collaboration with robotics company Boston Dynamics.

Boston Dynamics has a keen interest in testing both quadruped and humanoid robotic workers in a wide range of industrial facilities, including the automotive factories of the robotic company’s corporate owner, Hyundai Motor Group. The company’s robot “dog,” Spot, is being trialled as a robotic inspector that roams throughout industrial facilities to check up on everything. Such inspection duties require “complex visual reasoning” to interpret the multiple needles, liquid levels, container boundaries and tick marks, along with text, in various instruments.

The model driving it

To handle such tasks, the Gemini Robotics-ER 1.6 model provides robots with “agentic vision” that combines visual reasoning with the capability of executing code to create a “visual scratchpad” for inspecting and manipulating images. Such agentic vision was introduced in Google’s Gemini 3.0 Flash model back in January 2026.

The agentic vision capability reportedly boosts robotic performance on instrument reading tasks from 23 percent in the older Gemini Robotics-ER 1.5 model to 98 percent in the new Gemini Robotics-ER 1.6 model. For comparison, Gemini 3.0 Flash delivered just 67 percent accuracy.

The baseline Gemini Robotics-ER 1.6 model can still achieve 86 percent accuracy in reading instruments even without agentic vision. That is because the model uses a process of pointing to different elements in a visual image to process complex tasks, such as counting items or identifying the most salient features. It also supposedly delivers an improved “multi-view reasoning” capability that allows a robotic system to use multiple camera streams to better understand its environment.

https://arstechnica.com/ai/2026/04/robot-dogs-now-read-gauges-and-thermometers-using-google-gemini/

Rust doesn’t have a slow garbage collector. Instead, it uses a mechanism called the borrow checker that ensures memory safety at compile time. This strict set of rules ensures that you can’t “forget” to free up memory—code simply won’t compile if the memory rules are breached. This is what makes Rust a memory-safe language.

However, not even Google can wave its proverbial hand and change how modem firmware is written—we’re talking about tens of megabytes of executable machine code, which is a lot. Not only would it be a herculean task to update decades of work, but many of the companies involved also consider the inner workings of modems to be trade secrets.

To protect the Pixel modem from zero-day attacks, Google focused on the DNS parser. As cellular features have migrated to data networks, DNS has become a core part of how phones work. Google explains that DNS requires parsing of untrusted data, and that makes it a major security concern, but it’s one you can solve with Rust.

Google chose the hickory-proto open source Rust DNS library, which is not particularly optimized but has broad adoption and support. The modem in Pixel phones is not a memory-constrained environment, which allowed the team to tack on a Rust component to make DNS in the existing code safer. The team stripped out the standard library dependencies, allowing it to compile to machine code for faster operation, which was then grafted onto the existing C/C++ modem code. In total, the Rust components added 371KB, which is workable in the Pixel modem.

Under this system, any attempt to trigger a vulnerability by manipulating memory runs into the Rust wall—it can’t be affected by malicious DNS packets. The Pixel 10 phones are the first to ship with this safer modem implementation. Google hopes this work will allow other platforms to make similar improvements, but the company notes the size of its chosen Rust library could be a problem for simpler embedded systems. It may be possible to address that by making the library more modular in the future. Google also sees this work as a foundation for integrating more memory-safe components into the cellular baseband in time.

https://arstechnica.com/gadgets/2026/04/google-shoehorned-rust-into-pixel-10-modem-to-make-legacy-code-safer/

Pay with your wallet or your attention

Unlike with most streaming services, those who can’t stomach YouTube’s latest price increase have an option. Free users can browse and stream as many YouTube videos as they want, but they’ll have to contend with ads. After earning more than $40 billion in ad revenue in 2025, the site expanded the use of unskippable 30-second ads in the TV app this year. Previously, the longest you’d have to wait before getting back to your video was 15 seconds.

But viewers have increasingly pointed to even longer ad breaks. In recent days, reports of 90-second unskippable ads have proliferated. The company has responded to the kerfluffle, saying, “YouTube does not have a 90-second non-skippable ad format. This isn’t something we are testing right now.” The company’s post on X has since been “community noted” to reaffirm the existence of 90-second unskippable ads.

Despite YouTube’s assurances, many, many viewers report seeing these longer ads, and there are several images that appear to show unskippable 90-second ad breaks. YouTube users have accused the company of lying or using deceptive language in its denial.

Some viewers report that these extra-long breaks are a mix of ad types. They begin with a 30-second unskippable ad, and the player then rolls into a few shorter skippable ads. However, the interface only shows the standard “Skip in” text with a countdown until all the ads are over. The good news is that this is an error, and YouTube is working on it.

The YouTube interface makes this look like an unskippable 90-second ad even if it’s not.

Credit: /u/Ok_Neat1652

YouTube now says it has determined these longer unskippable ads are an interface bug. “We’ve determined this was a result of a bug, which resulted in higher, inaccurate timers being shown for shorter ads,” a company spokesperson said. “We’re rolling out a fix now. As we’ve said, we don’t have a 90 second non-skippable ad format and this was not a test.”

YouTube just isn’t the streaming video free-for-all it once was. You’ll have to pay in one way or another if you want to watch YouTube content. The site will either take an ever larger bite of your budget, or you’ll have to sit through more ads than ever before. There are alternative YouTube clients that can strip out ads, and ad-blockers can do the same on the web. However, it’s a cat-and-mouse game as YouTube works to block the blockers.

https://arstechnica.com/gadgets/2026/04/youtube-increases-premium-price-again-says-90-second-unskippable-ads-are-a-bug/

Looking up information on Google today means confronting AI Overviews, the Gemini-powered search robot that appears at the top of the results page. AI Overviews has had a rough time since its 2024 launch, attracting user ire over its scattershot accuracy, but it’s getting better and usually provides the right answer. That’s a low bar, though. A new analysis from The New York Times attempted to assess the accuracy of AI Overviews, finding it’s right 90 percent of the time. The flip side is that 1 in 10 AI answers is wrong, and for Google, that means hundreds of thousands of lies going out every minute of the day.

The Times conducted this analysis with the help of a startup called Oumi, which itself is deeply involved in developing AI models. The company used AI tools to probe AI Overviews with the SimpleQA evaluation, a common test to rank the factuality of generative models like Gemini. Released by OpenAI in 2024, SimpleQA is essentially a list of more than 4,000 questions with verifiable answers that can be fed into an AI.

Oumi began running its test last year when Gemini 2.5 was still the company’s best model. At the time, the benchmark showed an 85 percent accuracy rate. When the test was rerun following the Gemini 3 update, AI Overviews answered 91 percent of the questions correctly. If you extrapolate this miss rate out to all Google searches, AI Overviews is generating tens of millions of incorrect answers per day.

The report includes several examples of where AI Overviews went wrong. When asked for the date on which Bob Marley’s former home became a museum, AI Overviews cited three pages, two of which didn’t discuss the date at all. The final one, Wikipedia, listed two contradictory years, and AI Overviews confidently chose the wrong one. The benchmark also prompts models to produce the date on which Yo Yo Ma was inducted into the classical music hall of fame. While AI Overviews cited the organization’s website that listed Ma’s induction, it claimed there’s no such thing as the Classical Music Hall of Fame.

https://arstechnica.com/google/2026/04/analysis-finds-google-ai-overviews-is-wrong-10-percent-of-the-time/

Mai una scomunica è stata cosi fruttifera quale quella dichiarata dalla Casa Bianca ai danni di Anthropic, dai tempi di Enrico VIII che, sulla spinta del rifiuto di Clemente VII di annullare il suo matrimonio, creò la chiesa Anglicana, architrave dell’impero britannico.

Rispetto all’anno scorso, la società che produce il sistema di intelligenza artificiale Claude, che si è ribellata alle pretese del Pentagono di usare le sue tecnologie senza vincoli o limiti etici, ha più che triplicato il suo fatturato, passando da 9 a 30 miliardi.

Ma siamo solo all’inizio. Proprio lo scontro con Trump, che avviene nel pieno di una guerra che vede le forze americane sulla linea del fuoco, invece di produrre una reazione di rigetto e critica da parte dell’opinione pubblica, secondo la tradizione del nazionalismo statunitense nelle circostanze belliche- right or wrong is my country – si registra una straordinaria adesione alle posizioni dei proprietari della società, gli italo americani fratelli Amodei.

Da mesi si assiste ad una trasmigrazione di utenti dalle proposte di ChatGPT a quelle di Anthropic. Ma questa spinta non riguarda solo l’emotività popolare, ma anche il sensibile e cinico mondo del business.

Infatti, insieme ai successi di fatturato, Anthropic informa di una nuova combinazione strategica con Google e Broadcom, società di produzione delle unità di calcolo, per la produzione di TCU, i nuovissimi microchip progettati dal motore di ricerca di Moutain View, che dovrebbero sostituire le fondamentali CPU di Nvidia nel cuore dei sistemi di intelligenza artificiale.

Un’operazione questa che, insieme al salto quantico atteso, sembra destinata a mutare radicalmente il volto del mercato digitale e soprattutto la struttura stessa delle infrastrutture che ancora lo contengono.
Un nuovo microchip, quale si annuncia il TCU (Tensor Processor Unit), è un’unità  sviluppata da Google proprio per l’apprendimento neurale, che in una sinergia con Anthropic potrebbe rapidamente soppiantare l’attuale applicazione basata sulla produzione di Nvidia.

Siamo dunque ad un ulteriore giro di boa, dove non solo i gruppi tecnologici si separano dalle istituzioni politiche ma, proprio in opposizione ai comandi militari, nel pieno di un conflitto, elaborano linee di sviluppo che contrastano con i programmi degli stati maggiori.

Sembra paradossalmente avverarsi quello che nel nostro ultimo libro, “Guerre in Codice, come le intelligenze artificiali resettano la democrazia” (Donzelli), abbiamo definito di Peter Thiel’s Switch, ossia quell’inversione gerarchia fra politica e digitale, dove, come teorizza il templare della Silicon Valley, la politica comunica quello che le tecnologie decidono.

Solo che questa affermazione di supremazia dei gruppi di calcolo avviene sul versante ideologico opposto a quello guidato dal capo di Palantir.

Potrebbe essere l’ennesimo segnale di uno scollamento fra la leadership Maga, la tendenza sovranista dei repubblicani che ha portato Trump alla Casa Bianca. Ma inevitabilmente ci parla di un processo più di fondo, in cui, la potenza computazionale sfonda ogni limite geopolitico e si afferma come struttura di base dei processi sociali e politici.

Proprio nel 250° anniversario della pubblicazione della Ricchezza delle Nazioni di Adama Smith, che diede un fondamento teorico al nascente capitalismo industriale basato sulle dinamiche globali di un capitalismo che formava le nazioni, oggi si pone all’ordine del giorno un nuovo primato sociale costituito proprio dalla differenziazione fra le diverse forme di tecnologie automatiche.

Il successo di Anthropic non rappresenta solo la preminenza di una vocazione libertaria, o comunque democratica dei sistemi tecnologici, ma ci rappresenta la pretesa di queste tecnologie di riassumere nel proprio universo di calcolo tutte le variabili, riducendo ogni valore ad un calcolo appunto.

Una posizione, per certi versi, non dissimile da quello che in qualche modo si afferma in Cina, dove la supremazia dell’apparato di governo si basa proprio sulla capacità di armonizzare la potenza digitale con la forma di amministrazione del paese. Stiamo passando da uno Stato-algoritmo, in cui un regime si sosteneva con lo sviluppo tecnologico, ad un algoritmo che si fa Stato, in cui è la tecnologia, nelle sue continue progressioni che mutano la forma e i contenuti delle relazioni sociali, che si propone come codice di controllo e governo.

Sia in una versione più conservatrice e autoritaria, quale quella teorizzata da Peter Thiel, sia in una più aperta e dinamica, quale quella che oggi viene rappresentata da Anthropic. Ma in entrambi i casi siamo ad una riclassificazione delle dinamiche geopolitiche e culturali, in cui, come vediamo anche nel conflitto attorno all’Iran, o in quello in Ucraina, non sono più le dimensioni di una potenza ad imporsi ma la capacità di distribuire saperi e competenze per rendere inafferrabile la testa del sistema bellico, che ormai coincide con la vita civile di una comunità.

Leggi le altre notizie sull’home page di Key4biz

https://www.key4biz.it/il-boom-di-anthropic-dopo-la-scomunica-del-pentagono-la-tecnologia-si-separa-dalle-istituzioni-per-comunicare-con-le-autorita-nazionali/568622/

Google’s Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google’s terms. The company’s Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it’s dumping the custom Gemma license.

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean plenty of things, of course. The two large Gemma variants, 26B Mixture of Experts and 31B Dense, are designed to run unquantized in bfloat16 format on a single 80GB Nvidia H100 GPU. Granted, that’s a $20,000 AI accelerator, but it’s still local hardware. If quantized to run at lower precision, these big models will fit on consumer GPUs.

Google also claims it has focused on reducing latency to really take advantage of Gemma’s local processing. The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models. Meanwhile, 31B Dense is more about quality than speed, but Google expects developers to fine-tune it for specific uses.

The other two Gemma 4 models, Effective 2B (E2B) and Effective 4B (E4B), are aimed at mobile devices. These options were designed to maintain low memory usage during inference, running at an effective 2 billion or 4 billion parameters. Google says the Pixel team worked closely with Qualcomm and MediaTek to optimize these models for devices like smartphones, Raspberry Pi, and Jetson Nano. Not only do they use less memory and battery than Gemma 3, but Google also touts “near-zero latency” this time around.

More powerful, more open

All the new Gemma 4 models will reportedly leave Gemma 3 in the dust—Google claims these are the most capable models you can run on your local hardware. Google says Gemma 31B will debut at number three on the Arena list of top open AI models, behind GLM-5 and Kimi 2.5. However, even the biggest Gemma 4 variant is a fraction of the size of those models, making it theoretically much cheaper to run.

https://arstechnica.com/ai/2026/04/google-announces-gemma-4-open-ai-models-switches-to-apache-2-0-license/

On Wednesday, a Los Angeles jury ordered Meta and YouTube to pay $3 million in damages to a young woman who successfully argued that the companies’ social media apps were designed to addict children.

Meta will pay the majority of the fine, 70 percent, while YouTube-owner Google is on the hook for 30 percent, the jury decided.

During the six-week trial, the jury heard that Meta and Google designed apps with features like auto-play, infinite scroll, and algorithmic recommendations to keep kids online. Feeling trapped in a cycle of constantly using these apps caused the plaintiff, known as K.G.M., “crippling mental distress,” CNBC reported. She developed “severe body dysmorphia, depression, and suicidal thoughts,” and every notification that came through made it harder to stop logging in.

At the trial, Meta and Google tried to deflect from the role that apps played in K.G.M.’s mental decline, arguing that she used the apps to cope with mental health problems that “stemmed from a turbulent childhood and related family issues,” CNBC reported.

Internal documents revealed to the jury showed that Meta’s employees openly discussed how addictive design features were, bragging that “teens can’t switch off from Instagram even if they want to.” One employee even declared, “oh my gosh yall IG is a drug,” while likening all social media platforms to “pushers.”

However, Instagram chief Adam Mosseri declined to acknowledge on the stand that K.G.M. had become addicted to Meta apps, instead suggesting that her usage was merely “problematic.”

Along similar lines, YouTube Vice President of Engineering Cristos Goodrow argued that YouTube could not be liable for her harms because it was “not designed to maximize time.” The platform also maintained throughout the trial that it is not a social media site.

https://arstechnica.com/tech-policy/2026/03/meta-youtube-must-pay-3m-to-woman-who-got-hooked-on-apps-as-a-child/

Antitrust, editori e startup europee chiedono a Bruxelles di chiudere l’indagine su Google

Lo European Publishers Council ha inviato un documento alla Commissione europea in cui chiede esplicitamente la chiusura dell’indagine e una multa a Google per violazione del Digital Market Act (DMA). Ne da notizia in via esclusiva l’agenzia Reuters.

Nella lettera inviata ai vertici dell’esecutivo comunitario, le associazioni di settore sollecitano Bruxelles a chiudere entro pochi giorni il procedimento avviato quasi due anni fa nell’ambito del DMA e ad adottare una decisione formale di non conformità nei confronti di Alphabet, la holding che controlla il colosso di Mountain View.

L’iniziativa è guidata dall’organizzazione che rappresenta alcuni dei principali gruppi editoriali del continente (tra cui Axel Springer, News Corp e Condé Nast) e che ha promosso il documento insieme ad altre realtà del mondo digitale, tra cui European Magazine Media Association, European Tech Alliance, EU Travel Tech, oltre all’Initiative for Neutral Search, alla Innovative Europe Foundation e alla German Startup Association.

Il Digital Markets Act è un regolamento dell’UE, in vigore dal 2024, che impone regole severe ai grandi gatekeeper digitali (come Google, Meta, Apple) per garantire concorrenza leale e maggiore interoperabilità, per limitare quindi l’abuso di posizione dominante, proteggere la privacy e consentire la portabilità dei dati.

“In gioco la credibilità della Commissione europea”

La lettera, indirizzata alla presidente della Commissione Ursula von der Leyen, alla responsabile europea della concorrenza Teresa Ribera e alla commissaria per il digitale Henna Virkkunen, chiede esplicitamente di concludere l’indagine la prossima settimana.

Secondo i firmatari, l’istruttoria (avviata il 25 marzo 2024 nell’ambito del DMA) si è ormai protratta oltre i tempi previsti. Il regolamento europeo sui mercati digitali prevede infatti che i casi vengano generalmente risolti entro 12 mesi dall’apertura formale.

Nel documento le organizzazioni sostengono che la Commissione dovrebbe adottare una decisione formale di non conformità, accompagnata da un ordine di cessazione delle pratiche contestate e da una sanzione finanziaria dissuasiva nei confronti di Alphabet.

“In gioco la credibilità della Commissione europea”, scrivono i firmatari, sottolineando come eventuali ritardi rischino di indebolire l’efficacia del nuovo quadro normativo europeo per la regolazione delle grandi piattaforme digitali.

Le accuse a Google: favoritismi nei risultati di ricerca

Al centro dell’indagine c’è il sospetto che Google favorisca sistematicamente i propri servizi nei risultati di ricerca, penalizzando concorrenti europei in settori come viaggi, shopping e comparazione di servizi.

Alphabet ha respinto le accuse e, secondo fonti di mercato, negli ultimi mesi avrebbe presentato diverse proposte alla Commissione per rispondere alle preoccupazioni dei regolatori e dei competitor. Tuttavia, secondo le organizzazioni firmatarie della lettera, le misure prospettate non sarebbero sufficienti a garantire una reale neutralità della ricerca online.

L’obiettivo degli editori europei

Per lo European Publishers Council l’obiettivo è duplice. Da un lato, ottenere un’applicazione rapida e rigorosa del Digital Markets Act, che rappresenta il principale strumento europeo per limitare il potere delle grandi piattaforme digitali. Dall’altro, riequilibrare le condizioni di mercato per editori, piattaforme tecnologiche e startup europee che dipendono in larga parte dalla visibilità nei motori di ricerca.

Nel testo si sostiene che il prolungarsi dell’indagine sta già producendo effetti economici negativi per molte aziende europee. «Ogni giorno che passa – scrivono – erode ulteriormente la redditività delle imprese europee, compromettendo la loro capacità di investire e crescere».

Secondo i firmatari, alcune società del settore digitale si troverebbero addirittura «in condizioni di difficoltà finanziaria o rischio di fallimento» a causa delle pratiche contestate.

Google caso simbolo delle tensioni transatlantiche

La pressione esercitata da editori e imprese europee arriva in un momento di crescente tensione tra Bruxelles e Washington sulla regolazione delle Big Tech.

Negli ultimi anni l’Unione europea ha adottato dispositivi legislativi avanzati come il Digital Markets Act e il Digital Services Act pensati proprio per limitare la posizione dominante delle grandi piattaforme, molte delle quali sono statunitensi. Le nuove regole hanno spesso provocato frizioni con gli Stati Uniti, che temono un impatto eccessivo sulle proprie aziende tecnologiche. Lo stesso Presidente americano Donald Trump lo ha ricordato in numerose dichiarazioni pubbliche.

Il caso Google rappresenta quindi uno dei primi test concreti per il DMA e per la capacità della Commissione europea di far rispettare le nuove regole. Per questo motivo, sottolineano i firmatari della lettera, la conclusione dell’indagine non avrebbe soltanto effetti sul mercato digitale europeo, ma costituirebbe anche un segnale politico sulla determinazione dell’Europa a regolare il potere delle piattaforme globali.

Leggi le altre notizie sull’home page di Key4biz

https://www.key4biz.it/digital-markets-act-reuters-editori-e-aziende-tech-ue-vogliono-la-stretta-su-google/568474/

Over 7 million cable and fiber locations

Astound is already the product of industry consolidation via a series of private equity deals that combined Wave Broadband, RCN, and Grande Communications. A research note from the New Street analyst firm said GFiber offers service at 2.8 million locations in 15 states, while Astound’s service area has 4.45 million locations in 12 states and the District of Columbia. Most of Astound’s network is cable broadband, but it has 892,014 fiber locations and 44,548 copper locations.

“Put together, the two companies pass ~7.1 [million] locations in 26 states,” the research note said. “The two companies overlap in only three counties in Texas (109k locations). Texas and Illinois will have the largest footprint for the combined entity. Cable and Fiber will cover an almost equal share of locations for the combined company.”

The combined GFiber/Astound company will face competition in most of its territory from at least one cable or fiber/copper provider. That includes AT&T at 53 percent of locations, Comcast at 46 percent of locations, Charter at 43 percent of locations, Verizon at 22 percent of locations, and Lumen (CenturyLink) at 11 percent.

New Street said there are unanswered questions, such as whether the combined company will continue to expand into areas served by existing cable and fiber operators, and whether it will upgrade its own cable footprint with fiber.

GFiber offers service in Texas, North Carolina, Missouri, Utah, Kansas, Tennessee, Alabama, Georgia, Iowa, California, Arizona, Nebraska, Idaho, Colorado, and South Carolina. Astound is in Illinois, Texas, New York, California, Washington, Massachusetts, Pennsylvania, the District of Columbia, Oregon, Maryland, Indiana, Virginia, and New Jersey.

Texas, North Carolina, Missouri, Utah, and Kansas account for about 78 percent of GFiber locations, according to New Street’s data. Illinois, Texas, New York, California, and Washington together account for about 72 percent of Astound’s locations.

https://arstechnica.com/tech-policy/2026/03/google-fiber-will-be-sold-to-private-equity-firm-and-merge-with-cable-company/