A Reddit post making the rounds this week claims the U.S. has experienced at least one major power outage every month of 2026 — but is it true? I dug into several outages, the extreme weather behind them, and what we can do to help keep the lights on. […] The claim that hundreds of thousands of Americans were without power over extended periods at least once per month, every month of 2026 surprised be in two ways. First, because I had no idea if it was true — and, second, because it felt true. We try to do better than writing about things that feel true around here, however, so I did a bit of research (translation: I Googled power outages by month) and came up with the following examples in about sixty seconds

January: More than 296,000 customers still without power as winter storm freezes much of the US
February: More than 380,000 customers without power as winter storm hits US Northeast
March: Storms Cut Power to Over 1 Million Customers in U.S. Midwest, Mid-Atlantic; Ohio Hardest Hit
April: At least 29 tornadoes touched down in Central Illinois on April 17th
May: Energy Secretary Issues Emergency Order to Deploy Backup Generation in the Mid-Atlantic Amid Heatwave
June: More than 373,000 U.S. customers without power due to extreme weather

… and that list is far from comprehensive, and how you feel about it might depend on what you consider a “major” outage, of course — but consider that there are tens of thousands of Americans without power right now, and that’s not making the news. […] The lesson here is that weather-related grid outages — whether they’re caused by wildfires, mudslides, derechos, tornadoes, ice storms, hurricanes, heat waves, or some other disaster I’m lucky enough to have forgotten about — read like statistics when they’re happening over there, but get personal real quick when they’re happening to you.

The publishers argue that Google repurposed books that had been supplied for limited services such as Google Books, Google Play Books and Google Scholar. Those services allowed Google to use the works in specific ways — for example, to display searchable snippets or sell ebooks — but not, the lawsuit claims, to copy them for training commercial AI products. “Desperate to maintain its online dominance, Google abandoned its early motto of ‘Don’t be evil’ and engaged in one of the most prolific infringements of copyrighted materials in history,” the suit states (PDF).

According to the complaint, the tech company made copies of copyrighted books to train Gemini without permission or payment, despite internal discussions acknowledging the legal risks. The filing claims Google flagged internally that it could face "$10Bs-$100Bs in potential fines” for using texts provided by publishers for Google Play Books. The publishers say Google’s actions are harming authors and the wider publishing industry, arguing that AI-generated content could negatively impact book sales.

It notes that, for example, Gemini could generate “a 100-page murder mystery set in a quiet seaside town filled with secrets, that substitutes for an original copyrighted murder mystery on which Gemini trained” in 20 minutes for 39 cents. “No publisher or author can compete with that.” The lawsuit names a number of specific books that the publishers allege were among the copyrighted works used without permission, including NK Jemisin’s The Fifth Season, and Lemony Snicket’s Who Could That Be at This Hour?

Amazon Music introduced a similar feature last year when it integrated Alexa Plus into the service. Spotify’s chatbot goes a step beyond providing AI-powered recommendations and general trivia, however, because it references your playlists, favorite artists, repeat listens, and listening data when responding to requests. That means you can ask questions about your own listening history to check when you first heard a specific song, or see what genres you’ve been into lately if you can’t hold out for the annual Wrapped insights.

The updated AI capabilities are more conversational than older features like Prompted Playlist, which automatically builds playlists based on descriptions. Now, you can ask the Spotify chatbot to “play some songs I haven’t heard before,” and control what’s being played with further instructions like requesting specific artists or asking to make it “more upbeat.” Spotify says the new conversational experience aims to make the platform “more personal and useful for every listener,” making this one of several ways that the company is trying to address complaints about its algorithm.

You can also ask the Spotify AI general questions about whatever you’re listening to, making the feature feel similar to using chatbot services like Google’s Gemini or OpenAI’s ChatGPT. That includes asking for when a song was released, exploring other titles an author has written when listening to one of their audiobooks, or checking if a podcast guest has appeared on other audio shows.

The Recording Industry Association of America accused Suno of ripping songs directly from YouTube; the hacked data seen by 404 Media confirms this. The hacked material includes source code that appears to be from 2023 and 2024 that includes scraping instructions and details about the scope of at least some of the scraping. For example, the comments in one file note that they will pull from “genius_hq, youtube_music, freesound, jamendo, imp, deezer, ytm_tagged,” and that “non-music will be filtered out.” A file called “youtube_music” notes that at the time the file was last updated, it had ingested “2,013,545 music clips.” Another file contains comments about different datasets Suno had created, which included “113,879 hours of youtube_music,” “17,615 hours of genius_hq,” “410 hours of free sound,” “19,514 hours of imslp,” “3,726 hours of jamendo,” “62,117 hours of pond5_music,” “12,287 hours of deezer,” “152,162 hours of ytm_tagged,” and “103 hours of musescore_lyrics.” In total, this is at least decades worth of music.

Other code the hacker shared with 404 Media appeared to look specifically for vocals by searching specifically for acapella versions of songs on YouTube. The code also suggested that Suno was using proxies to scrape songs from YouTube through a company called Bright Data, which sells scraping tools, infrastructure, and data services. Additional code shows that with the help of an online tool called PodcastIndex, Suno identified 420,000 different podcasts that had at least five, 30-minute episodes and sought to download roughly 1 million hours of podcasts.

[…] The hacker, ellie.191, told 404 Media they breached the company by hacking an individual employee using the Shai-Hulud worm, a supply chain attack that allowed hackers to harvest GitHub and cloud service credentials. They said they also accessed Suno’s customer list, which included customers’ emails and/or phone numbers and Stripe payment details, depending on what they used to login. The hacker provided a sample of some of the customers, some of whom confirmed to 404 Media they had used their phone number to sign up for Suno and said they were never notified of a breach. The hacker told 404 Media they had no specific motivation for hacking Suno and said “I like to hack anything and everything.”

On August 6, commissioners will hold a ballot to repeal Section 303 of the Communications Act, and with it the 39 percent rule. In essence, the rule limits the reach of a local TV network to no more than 39 percent of the U.S.’ total audience market. In its place, the FCC would move to a system whereby it would personally approve or reject TV ownership deals on a case-by-case basis.

It’s not clear if the FCC even has the authority to reject Section 303 without the explicit consent of the legislature. As Lawrence J. Spiwak wrote in the Yale Journal on Regulation back in January, Section 10 of the Communications Act expressly forbids the FCC from bending the rules around Section 303.

Big changes are coming to Android apps, but they’re not the changes Google wanted. The settlement between Google and Epic that aimed to put to rest the companies’ long-running antitrust battle is being withdrawn, and that means third-party app stores are coming to the Play Store. Google has confirmed that it will begin distributing rival app stores next week, setting the stage for competing platforms to take a bite out of Google’s Android revenue stream. […] Google and Epic were set to return to court on July 16 to argue in favor of the settlement. However, the writing may have been on the wall. In a recent expert analysis provided to the court, MIT economics professor Nancy Rose noted that the settlement was “unlikely to enable Google Play’s potential competitors to overcome their long-standing network-effect disadvantage in a timely manner.”

With settlement approval looking increasingly unlikely, Epic and Google agreed this week to call the whole thing off. Here’s how Google Trust and Reputation Communications Lead Dan Jackson explains the company’s decision: “We’ve agreed with Epic to withdraw our motion to modify the US Court’s injunction rather than prolonging this process which creates uncertainty for the ecosystem. This allows us to focus on executing our recently announced global business model evolution to deliver greater app store choice, lower prices, and more opportunities for developers and users. We remain committed to maintaining Android’s industry-leading security and fostering a competitive ecosystem where every app store and developer has the freedom to compete. In parallel, we continue to comply with the US Court’s injunction.”

In a brief filing (PDF), Google’s legal team informs the court that Google is prepared to begin distributing third-party app stores in Google Play on July 22. Under the terms of Judge Donato’s original injunction, these stores will have access to the full catalog of Google Play apps by default. Developers will have the option to opt out of distribution in these stores, and Google has a support page explaining how to do so. Google also has documentation on how app stores can get access to the Google Play catalog. It won’t be mirroring those apps in any shady storefront that asks. The court has allowed Google to charge reasonable fees to cover its security and compliance review of third-party stores, which will be $5,000 per year.

Google will also require approved stores to block malware, respect intellectual property, and include mechanisms to update and uninstall apps. App stores can be removed from the program if more than 1 percent of attempted app installs appear to be malware or unwanted software. It’s unclear if there will be separate, possibly more stringent requirements for storefront distribution in the Play Store. However, Google is prohibited from unreasonably blocking third-party store clients uploaded to Google Play. The changes Google has announced under the Epic agreement will proceed for now. That means Registered App Stores will happen globally, but they will probably only appear in the Play Store for US users. Google hasn’t specified if there will be any differences in the features available to the stores downloaded from Play versus registered stores.

This ticket to retire dialog was opened back in February while is now merged to the FreeBSD source tree for what will become FreeBSD 16.0. With dialog removed, the latest FreeBSD code now retires the GNU sub-tree of the FreeBSD base system now that no more GNU code remains. FreeBSD 16.0 is working its way toward release that is expected to happen in December 2027.

Codex Micro is a collaboration with Work Louder, a boutique hardware company known for customizable mechanical keyboards and shortcut controllers for developers and designers. The small, square macro pad — with backlit keys, a rotary knob and a tiny joystick — sits beside your regular keyboard as a physical shortcut box for common Codex actions and shows the status of your agents. The keys are customizable and include a push-to-talk option as well as a dial to adjust your reasoning setting. Codex Micro is a niche device for Codex power users and will only be available until it sells out. It’s priced at $230.

Microsoft today released software updates to plug at least 570 security holes in its Windows operating systems and other software, almost triple the number of vulnerabilities the software giant fixed in its record-smashing Patch Tuesday release last month. Microsoft attributed the burgeoning patch counts to vulnerability discoveries aided by artificial intelligence. Nearly 60 of the bugs quashed in July’s Patch Tuesday earned a “critical” severity rating, meaning miscreants or malware could use them to seize remote control over a Windows device with little or no help from the user. Microsoft also addressed three zero-day flaws, including two that are already being exploited in the wild.

Two of the zero-day weaknesses allow an attacker to elevate their user rights on a Windows system, as do approximately 250 other elevation of privilege flaws fixed this month; they include CVE-2026-56155 - an Active Directory Federation Services bug — and CVE-2026-56164, a Microsoft Sharepoint vulnerability. CVE-2026-50661 is a security feature bypass in Windows BitLocker that could allow attackers to gain access to encrypted data if they have physical access to the device. Microsoft said this bug has been detailed publicly, but that it is not aware of any active exploitation.

In a blog post on July 9, Microsoft Executive Vice President Pavan Davuluri wrote that Windows users will notice “a higher volume of security updates included in each security release” as a result of AI aiding in the discovery of vulnerabilities. “The pace of vulnerability discovery is changing with advances in AI making it possible to find more issues, faster, across more code, with new mechanisms that can accelerate both discovery and analysis,” Davuluri wrote.

Commercial off-the-shelf X-ray machines like the ice cooler-sized MinXray TR90BH now allow users to perform scans on subjects far away from traditional facilities. In 2022, [Mayo Clinic researcher Sheyna Gifford] assisted in preparing a crew to successfully generate digital X-rays while experiencing microgravity during a parabolic flight. Gifford’s team then spent years collaborating with SpaceX to plan another feasibility study. This time, they didn’t want to operate an X-ray machine aboard an aircraft simulating the conditions in space — they intended to use the equipment during an orbital mission.

The process was detailed in a recently published study in the journal Radiology, and focuses on last year’s Fram2 mission. Instead of days of medical training, astronauts spent only four hours learning how to use their portable radiography device. They then took preflight X-rays of a hand, forearm, chest, abdomen, and pelvis ahead of their SpaceX Falcon 9 rocket launch on March 31, 2025. Once in orbit, the team calibrated the system before testing their MinXray on the same body parts as well as a smartwatch.

Once the crew returned, a trio of independent radiologists reviewed the orbital X-ray images based on their positioning, spatial and contrast resolutions, and general scan quality. Although positioning scores were slightly decreased for the central body images, every other scan held up to similar examples created on Earth. Meanwhile, the astronauts reported that using the machine was easy despite minimal prior coaching. Looking ahead, researchers hope to conduct further X-ray tests during orbital missions, while continuing to reduce the overall size of equipment.

President Trump has championed the effort to save an extra hour of daylight before nightfall and make the time zone permanent, describing the ritual of moving clocks forward in the spring and back in the fall a “ridiculous, twice yearly production.” “We are going with the far more popular alternative, Saving Daylight, which gives you a longer, brighter Day,” Mr. Trump wrote in a social media post in May. “And who can be against that.”

A sizable bloc of Florida Republicans in Congress is leading the charge on legislation that would do just that, mandating daylight saving time nationwide for the entire year. Representative Vern Buchanan of the Tampa Bay area is backing the bill, and Representative Anna Paulina Luna, another Tampa Bay-area Republican, cosponsored it. House leaders agreed to allow a vote on the measure this week as a sweetener for Ms. Luna in their efforts to persuade her to lift a legislative blockade she had maintained as she sought to force Senate action on a voting restriction bill Mr. Trump has championed.

The Iranian government abused well-known vulnerabilities in the global telecoms infrastructure to locate U.S. military personnel in the build-up to the Iran War, as well as in the early days of the conflict, according to Financial Times. The Iranian government exploited Signaling System 7, or SS7, a set of protocols for 2G and 3G networks that has long been the backbone of how cellular networks connect to each other to route subscribers’ calls and texts around the world, the newspaper reported, citing research by the Mobile Surveillance Monitor, as well as anonymous government officials with knowledge of the spy campaign.

Intelligence agencies have long abused SS7 to track cellphones abroad, which is what happened in this campaign. Using this technique, Iran was reportedly able to locate U.S. military forces stationed in military bases as well as hotels in Iraq, Bahrain, and other countries in the Middle East, which allowed the regime to strike them. These attacks resulted in several injuries. Apart from SS7, Iran also abused advertising technology used to serve tailored ads to cellphone users, another well-known surveillance technique that relies on everyday technology.

Apple sued OpenAI last week, accusing the company of stealing trade secrets. But OpenAI believes that the device veers significantly from anything Apple has on the market today and that it’s unlikely that it violates trade secrets belonging to the iPhone maker, the people said. OpenAI’s success in hardware will hinge on bringing a novel approach to the market — something it aims to do with the smart speaker. For instance, the device’s technology is meant to become increasingly personalized and proactive as it gains a deeper understanding of its owner over time, according to the people.

OpenAI envisions the device anticipating needs, surfacing information proactively and serving as an expert on its user, they said. Though the speaker is designed to stay in the home, it will be easy to move around the house. OpenAI believes the product’s defining feature will be its personality and ability to connect on a humanlike level with users. The speaker incorporates mechanical elements that can move on their own, creating a sense that it is alive and not just an object responding to commands. The machine also will draw on personal information such as emails to better understand its owner. The goal is for the device to feel like a companion and become a physical manifestation of OpenAI’s ChatGPT. Still, the exact plans could change as the company works through the development and legal process.

The device’s communication abilities will rely on a more advanced version of the ChatGPT Voice Mode — GPT-Live — that OpenAI rolled out this month. The new voice mode is designed to act more like a human. It can listen and talk at the same time, adapt more naturally during conversations, and quickly process information. Though the new product resembles a speaker, OpenAI internally describes it as the first of its kind: a computer built for AI to help make busy people more productive. It includes a camera and other sensors that help it understand a user’s surroundings and context, as well as advanced AI models beyond those available on conventional smart speakers. Another central difference is that the device includes a rechargeable battery, allowing it to be carried from room to room throughout the day. A user could bring it into the laundry room while doing chores, move it into the kitchen for cooking assistance, and later place it in a living room or bedroom to have it play music. It can also remain plugged into a single room if the customer chooses.

After navigating to the redesigned Google Images, users will see a “For You” gallery of images tailored to their interests and browsing history. Like Pinterest, the gallery is designed for continuous browsing, with Google saying it updates in real time with new images. As users browse, they can save ideas to their “collections,” which will appear as tabs above the main gallery of photos. For example, users can create collections for things like vacation outfit ideas, travel inspiration, and ways to design a reading nook, which they can come back to later.

[…] As for generating images directly in Search, Google says the feature is meant for moments when you have a highly specific idea for an image that doesn’t already exist online. Google is bringing image generation directly into AI Overviews on Search and will use its latest Nano Banana model to transform a text prompt into a custom visual. The feature can also help users reimagine spaces and visualize ideas, such as seeing what a room might look like painted red or what a dorm room with a coastal theme could look like.