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Winter Paralympics 2026 Live Streams: Free Channels, Schedule & Preview for Milano Cortina

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Austria and Norway have historically ruled the roost at the Winter Paralympics, but China dominated their home Games four years ago, and are out to prove that the balance of power has shifted at the 50th anniversary edition at Milano-Cortina.

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Startup launched by former AWS energy team emerges with $7M to help solve data center power crunch

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Soma Energy’s co-founders, from left: CEO Ath Caramanolis, Chief Technology Officer Mario Souto and Chief AI Scientist Henrique Hoeltgebaum. (Soma Energy Photos)

Soma Energy, a startup founded by former Amazon energy managers, emerged from stealth Thursday with $7 million in funding.

The Vancouver, B.C.-based company has built an AI platform serving power producers and data centers, helping both optimize their energy assets in real time to save money and extend their available power. The technology coordinates resources including wind, solar and batteries and the management of energy demands such as data center workloads.

CEO Ath Caramanolis said you can visualize an electrical system as a complex network of roads and highways on which electrons — instead of cars and trucks — are traveling.

“Our software is sort of a control plane that helps provide the self-driving for electrons on these highway systems,” Caramanolis said in a GeekWire interview.

More efficient routing of electron traffic can bring more power to bear for the grid’s competing needs.

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“There is low hanging fruit everywhere, and the opportunities for large energy users like data centers to better utilize the grid exist all across North America,” Caramanolis said.

Industries, utilities and elected officials worldwide are racing to expand energy supply as data centers and electrification of transportation, heating and other sectors drive surging demand. Data centers alone are expected to more than double their power draw — from 82 gigawatts in 2025 to 219 by 2029 — with most of that growth fueled by AI, according to McKinsey.

Amazon hired Caramanolis in 2018 to create the energy optimization team at AWS, which managed about 10 gigawatts of renewable energy across its global network of data centers. Seattle City Light, by comparison, has a generation capacity of about 2 gigawatts.

Caramanolis then recruited Mario Souto, Soma Energy’s co-founder and chief technology officer, to build the machine learning platform AWS used to optimize its renewable portfolio. The startup’s third co-founder, Chief AI Scientist Henrique Hoeltgebaum, is an expert in AI-driven forecasting and anomaly detection for energy systems.

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Soma Energy launched in February 2024 and has 18 employees. The startup has deployed 2 gigawatts of assets in the U.S. with customers including several independent power producers and five data center companies — among them H5 Data Centers, whose sites include a large facility in downtown Seattle.

“By coordinating existing resources, we were able to access capacity significantly sooner than expected, accelerating our time to power and removing a critical constraint on expansion,” said Josh Simms, CEO of H5 Data Centers, in a statement.

The seed round was led by Category Ventures, with participation from Haystack, Panache Ventures, RRE Ventures, TO.VC, Uncork Capital and Walter Kortschak. The investment will allow the team to hire new employees in engineering and commercial roles and expand its reach across North America.

“Having managed hyperscale power systems firsthand, the founders built Soma Energy as if they were the customer themselves,” said Villi Iltchev, partner at Category Ventures.  

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Dell’s five-second charging keyboard reveals a future where electric cars could recharge in minutes instead of hours

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  • Supercapacitors turn charging time from hours into mere seconds
  • Fast charging exposes the real limits of lithium-ion battery chemistry
  • Supercapacitor technology lacks sufficient energy capacity for practical electric vehicles

Dell has introduced a keyboard and mouse combo that charges in five seconds and delivers a full day of use.

The new Dell Pro 7 Rechargeable Compact Keyboard and Mouse relies on supercapacitor technology rather than traditional lithium-ion batteries.

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Anything Can Be A Router, If You Try Hard Enough

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If you’re an American and you use the Internet at home, it seems probable that routers are going to be in short supply. The US government recently mandated all such devices be home grown for security reasons, which would be fine were it not that the US has next-to-no consumer-grade router manufacturing industry.

So if you’re in the US and you need a router, what can you do? [Noah Bailey] is here from Canada to point out that almost anything (within reason) in computer terms can be made to perform as a router.

The piece is really a guide to setting up a Linux router, which he does on a small form factor PC and a hacked-together assembly of old laptop, PCI-express extender, and scrap network kit. In its most basic form a router doesn’t need the latest and greatest hardware, so there exists we’re guessing almost two decades of old PCs just waiting to be pressed into service. Perhaps it won’t help the non-technical Man In The Street much, but maybe it’ll inspire a few people to save themselves a hefty bill when they need to connect.

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You can read our coverage of the ban here.

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Windows 3.1 On A Modern AM5-Based PC Is Surprisingly Usable

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Although Windows 95 stole the show, Windows 3.0 was arguably the first version of Windows that more or less nailed the basic Windows UI concept, with the major 3.1 update being quite recognizable to a modern-day audience. Even better is that you can still install Win3.1 on a modern x86-compatible PC and get some massive improvements along the way, as [Omores] demonstrates in a recent video.

The only real gotcha here is that the AMD AM5 system with Asus Prime X670-P mainboard is one of those boards whose UEFI BIOS still has the ‘classic BIOS’ Compatibility Support Module (CSM) option. With that enabled, Win 3.1 installs without further fuss via a USB floppy drive from a stack of ‘backup’ floppies that someone made in the early 90s. [Omores] also tried it with CSMWrap, but with this USB to PS/2 emulation didn’t work.

Windows 3.1 supports ‘enhanced mode’ by default, which adds virtual memory and multi-tasking if you have an 80386 CPU or better. To fix crashing on boot and having to use ‘standard mode’ instead, the ahcifix.386 fix for the responsible SATA issue by [PluMGMK] should help, or a separate SATA expansion card.

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For the video driver the vbesvga.drv by [PluMGMK] was used, to support all VESA BIOS Extensions modes. This driver has improved massively since we last covered it and works great with an RTX 5060 Ti GPU. There’s now even DCI support to enable direct GPU VRAM access for e.g. video playback, with audio also working great with only a few driver-related gotchas.

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Meta Caves To The MPAA Over Instagram’s Use Of ‘PG-13,’ Ending A Dispute That Was Silly From The Start

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from the silly-times dept

Back in October, Meta announced that its new Instagram Teen Accounts would feature content moderation “guided by the PG-13 rating.” On its face, this made a certain kind of sense as a communication strategy: parents know what PG-13 means (or at least think they do), and Meta was clearly trying to borrow that cultural familiarity to signal that it was taking teen safety seriously.

The Motion Picture Association, however, was not amused. Within hours of the announcement, MPA Chairman Charles Rivkin fired off a statement. Then came a cease-and-desist letter. Then a Washington Post op-ed whining about the threat to its precious brand. The MPA was very protective of its trademark, and very unhappy that Meta was freeloading off the supposed credibility of its widely mocked rating system.

And now, this week, the two sides have announced a formal resolution in which Meta has agreed to “substantially reduce” its references to PG-13 and include a rather remarkable disclaimer:

“There are lots of differences between social media and movies. We didn’t work with the MPA when updating our content settings, and they’re not rating any content on Instagram, and they’re not endorsing or approving our content settings in any way. Rather, we drew inspiration from the MPA’s public guidelines, which are already familiar to parents. Our content moderation systems are not the same as a movie ratings board, so the experience may not be exactly the same.”

In Meta’s official response, you can practically hear the PR team gritting their teeth:

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“We’re pleased to have reached an agreement with the MPA. By taking inspiration from a framework families know, our goal was to help parents better understand our teen content policies. We rigorously reviewed those policies against 13+ movie ratings criteria and parent feedback, updated them, and applied them to Teen Accounts by default. While that’s not changing, we’ve taken the MPA’s feedback on how we talk about that work. We’ll keep working to support parents and provide age-appropriate experiences for teens,” said a Meta spokesperson.

Translation: we’re still doing the same thing, we’re just no longer allowed to call it what we were calling it.

There are several layers of nonsense worth unpacking here. First, there’s the MPA getting all high and mighty about its rating system. Let’s remember how the MPA’s film rating system came into existence in the first place: it was a voluntary self-regulation scheme created in the late 1960s specifically to head off government regulation after the government started making noises about the harm Hollywood was doing to children with the content it platformed. Sound familiar? The studios decided that if they rated their own content, maybe Congress would leave them alone. As the MPA explains in their own boilerplate:

For nearly 60 years, the MPA’s Classification and Rating Administration’s (CARA) voluntary film rating system has helped American parents make informed decisions about what movies their children can watch… CARA does not rate user-generated content. CARA-rated films are professionally produced and reviewed under a human-centered system, while user-generated posts on platforms like Instagram are not subject to the same rating process.

Sure, there’s a trademark issue here, but let’s be real: no one thought Instagram was letting a panel of Hollywood parents rate the latest influencer videos.

Next, the PG-13 analogy never actually made much sense for social media. As we discussed on Ctrl-Alt-Speech back when this whole thing started, the context and scale are just completely different. At the time, I pointed out that a system designed to rate a 90-minute professionally produced film — reviewed in its entirety by a panel of parents — is a wholly different beast than moderating hundreds of millions of short-form posts generated by individuals (and AI) every single day.

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So, yes, calling the system “PG-13” was a marketing gimmick, meant to trade on a familiar brand while obscuring how differently social media actually works — but the idea that this somehow dilutes the MPA’s marks is still pretty silly.

Then there’s the rating system’s well-documented arbitrariness. The MPA’s ratings have been criticized for decades for their seemingly incoherent standards. On that same podcast, I noted that the rating system is famous for its selective prudishness — nudity gets you an R rating, but two hours of violence can skate by with a PG-13.

There was a whole documentary about this — This Film Is Not Yet Rated — that exposed just how subjective and inconsistent the whole process was. Meta was effectively borrowing credibility from a system that was itself created as a regulatory dodge, is famously inconsistent, and was designed for an entirely different medium. And the MPA’s response was essentially: “Hey, that’s our famously inconsistent regulatory dodge, and you can’t have it.”

The whole thing was silly. And now it’s been formally resolved with Meta agreeing to stop doing the thing it had already mostly stopped doing back in December. So even the resolution is anticlimactic.

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But there’s a more substantive point buried under all this trademark squabbling: the whole approach reflects a flawed assumption that one company can set a universal standard for every teen on the planet.

As I argued on the podcast, the deeper issue is that the whole framework is wrong for the medium. The MPA’s rating system was built to evaluate a single 90-minute film, reviewed in its entirety by a panel of parents. Applying that logic to hundreds of millions of short-form posts generated by people across wildly different cultural contexts — a kid in rural Kansas, a teenager in Berlin, a twelve-year-old in Lagos — was never going to produce anything coherent. Different kids, different families, different communities have different standards, and no single company should be setting a universal threshold for all of them. The smarter approach is giving parents and users real controls with customizable defaults, rather than having Zuckerberg (or a Hollywood trade association) decide what counts as age-appropriate for every teenager on the planet.

This whole dispute was silly from start to finish.

Filed Under: content moderation, movie ratings, pg-13, social media

Companies: meta, mpa

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Drift loses $280 million as hackers seize Security Council powers

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Drift loses $280 million as hackers seize Security Council powers

The Drift Protocol lost at least $280 million after a threat actor took control of its Security Council administrative powers in a planned, sophisticated operation.

The attacker leveraged durable nonce accounts and pre-signed transactions to delay execution and strike with accuracy at a chosen time, the platform explained.

Drift underlines that the hacker did not exploit any flaws in its programs or smart contracts, and no seed phrases have been compromised.

Drift Protocol is a DeFi trading platform built on the Solana blockchain that serves as a non-custodial exchange, giving users full control of their funds as they interact with on-chain markets.

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As of late 2024, the platform claimed to have 200,000 traders, supporting total trading volumes of more than $55 billion and a daily peak of $13 million.

According to Drift’s report, the heist was prepared between March 23 and 30, with the attacker setting up durable nonce accounts and obtaining 2/5 multisig approvals from Security Council members to meet the required threshold.

This enabled them to pre-sign malicious transactions that weren’t executed immediately.

On April 1st, the attacker performed a legitimate transaction and immediately executed the pre-signed malicious transactions, transferring admin control to themselves within minutes.

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Having gained admin control, they introduced a malicious asset, removed withdrawal limits, and eventually drained funds.

PeckShield
Source: PeckShield

Drift Protocol estimates the losses at about $280 million, while blockchain tracking account PeckShieldAlert has calculated them at $285 million.

When unusual activity on the protocol was detected, Drift issued a public warning to users, stating that started an investigation and urging them not to deposit any funds until further notice.

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As a result of the attack, borrow/lend deposits, vault deposits, and trading funds have been affected, and all protocol functions are now essentially frozen. Drift said DSOL is unaffected, and insurance fund assets are secured.

The platform is now working with security firms, cryptocurrency exchanges, and law enforcement authorities to trace and freeze the stolen funds.

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Drift promised to publish a detailed post-mortem report in the coming days.

Automated pentesting proves the path exists. BAS proves whether your controls stop it. Most teams run one without the other.

This whitepaper maps six validation surfaces, shows where coverage ends, and provides practitioners with three diagnostic questions for any tool evaluation.

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Human-governed AI. How Fortis Solutions is building trust in intelligent infrastructure

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Fortis Solutions, an enterprise technology partner with decades of experience across infrastructure, cybersecurity, and data systems, approaches artificial intelligence as a force that is redefining how work is performed while preserving the importance of human contribution. Its perspective reflects a future where human judgment and machine precision operate in tandem, introducing new ways to elevate performance, strengthen decision-making, and expand what teams can accomplish together. 

This perspective emerges within a rapidly evolving landscape where AI continues to influence how organizations operate, decide, and govern. Leadership conversations have shifted from verifying processes to explaining how AI-driven decisions occur, how fairness is maintained, and how control is exercised. This signals a broader transition from traditional compliance models toward governance frameworks that prioritize accountability, transparency, and oversight.

Within this environment, Fortis Solutions emphasizes a foundational principle: AI benefits from human governance. Myron Duckens, President and CEO, says, “Technology becomes meaningful when it reflects human intention. Governance is where intention is translated into action, ensuring that innovation continues with clarity and purpose.” He adds that systems often require clearly defined rules, structured frameworks, and ethical guardrails established by people who understand both operational realities and broader societal expectations. 

Fortis Solutions acknowledges that even with strong governance, human limitations remain part of the equation. Fatigue, cognitive overload, and the complexity of modern infrastructure introduce variables that may influence outcomes in subtle ways. In high-stakes environments such as healthcare systems or large-scale venues, even minor inconsistencies can carry significant implications. CTO Jeremy Roach says, “This reality has shaped how we approach the integration of AI. We view it as a complementary force that enhances human capability while maintaining oversight at every critical juncture.

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CTO-Jeremy-Roach
Credit: CTO, Jeremy Roach
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At the same time, the current AI landscape presents challenges that require careful consideration. Generative AI systems can produce outputs that appear credible yet lack factual grounding, often referred to as hallucinations. These outcomes frequently stem from gaps in data quality, incomplete context, or overly generalized training models. Tony Gonzalez, CIO, offers a practical perspective on this dynamic. He says, “Data determines direction. When inputs are precise and validated, outcomes become more dependable. That relationship sits at the center of every AI system.

CIO-Tony-Gonzalez
Credit: CIO Tony Gonzalez
CIO-Tony-Gonzalez

 

Concerns around data integrity extend further when considering the widespread use of open and crowdsourced AI models. Industry insights highlight how data provenance, security, and governance remain central concerns for organizations scaling AI initiatives, with a significant percentage of leaders prioritizing risk management and cybersecurity investments. These concerns reflect a broader awareness that while AI introduces new capabilities, it also introduces new considerations around accountability and control.

Another dimension of the current landscape is the pace at which AI innovation is advancing. Roach notes that technological capabilities continue to expand quickly, while governance frameworks, regulatory structures, and organizational policies evolve more gradually. “This creates a gap where systems may operate faster than the mechanisms designed to oversee them,” he explains. The result can include exposure to misinformation, vulnerabilities within infrastructure, and unintended data movement across systems.

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Fortis Solutions aims to address this gap through a focus on controlled AI environments. Its approach centers on privatized large language models designed to operate within defined boundaries, using verified internal data rather than external, unfiltered sources. Roach states, “Control creates clarity. When systems learn within a defined environment, they become more aligned with the objectives they are designed to support.” This controlled model is designed to support consistency, help reduce the likelihood of unpredictable outputs, and reinforce confidence in the system’s performance.

Integral to this approach are platforms such as Source of Truth and NetRaven, which function together as interconnected layers within the infrastructure. Source of Truth operates as a centralized decision layer, maintaining a dynamic, real-time understanding of infrastructure components and their relationships. NetRaven complements this by translating system activity into accessible insights through continuous monitoring and visualization. 

Together, they form what the team describes as a SMART operational foundation, an acronym which stands for Seeing everything across the infrastructure, Monitoring activity continuously, Assessing what is happening as conditions evolve, Remediating issues automatically to optimize and troubleshoot, and Translating vendor‑agnostic CLI data into a unified operational language. The goal is to create an environment where accuracy and responsiveness are closely aligned.

According to Roach, this alignment becomes particularly meaningful when considering the role of human error in complex systems. Extended work hours, high-pressure scenarios, and large-scale operations may introduce challenges that affect even the most experienced professionals. 

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AI systems can help reduce operational inconsistencies, enhance monitoring capabilities, and provide additional layers of validation,” he says. “In healthcare environments, this may support more consistent system performance, while in business contexts, it may contribute to more reliable operational continuity.

 

Despite these advancements, perceptions around AI continue to evolve. Fortis Solutions points to concerns related to job displacement and data security that often accompany discussions about adoption. The company notes that these sentiments mirror earlier reactions to cloud computing, where initial hesitation transitioned into widespread acceptance as trust and familiarity developed. “Every transformative technology begins with questions. Over time, understanding replaces uncertainty, and organizations begin to see how these tools can extend their capabilities,” Roach remarks.

A key theme within Fortis Solutions’ approach is the importance of collaboration. AI systems can benefit from diverse perspectives, continuous feedback, and the ability to adapt as organizational needs and societal expectations evolve. Input from both technical and non-technical stakeholders contributes to more well-rounded systems, helping ensure that technology reflects a broader range of insights and experiences.

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This collaborative dynamic reinforces the idea that AI functions most effectively as a partner. Humans establish the direction, define the parameters, and interpret outcomes, while AI contributes speed, scalability, and analytical depth. Together, they create a model that aims to enhance efficiency while supporting thoughtful decision-making.

As technology and societal expectations continue to evolve, adaptability remains essential. Fortis Solutions argues that systems built with flexibility, strong governance, and secure infrastructure are best positioned to grow with these shifts, ensuring long-term relevance. In this view, AI becomes a broader opportunity to strengthen organizational decision-making and operational resilience. By emphasizing human oversight and collaborative design, Fortis Solutions frames AI as a means to enhance reliability, maintain continuity, and elevate the overall quality of outcomes.

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Google Announces Gemma 4 Open AI Models, Switches To Apache 2.0 License

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An anonymous reader quotes a report from Ars Technica: 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.
The Apache 2.0 license is much more flexible with its terms of use for commercial restrictions, “granting you complete control over your data, infrastructure, and models,” says Google.

Clement Delangue, co-founder and CEO of Hugging Face, called it “a huge milestone” that will help developers use Gemma for more projects and expand what Google calls the “Gemmaverse.”

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Your iPhone Has a Hidden Document Scanner. Here’s How to Use It During Tax Season

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These days, it’s easy to digitally sign important documents from your computer or phone. But sometimes you’re handed physical versions on paper that you need to sign, scan and send over email. When you just have to put your signature on a real-life document but don’t have a standalone scanner handy, the easiest way is right in your pocket. 

Just use your iPhone to turn images into PDFs.

Yes, your iPhone doubles as a document scanner. It may not produce images as sharp as a dedicated scanner would, but it does a respectable job, even when the phone is positioned at odd angles, trying to capture text. iPhones have had this hidden feature since iOS 11 launched in 2017, but as the cameras built into Apple phones have improved, so has their ability to take decent scans of documents and turn them into PDFs you can email. 

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You won’t need to download additional software or pay for a third-party app — Apple’s Notes app, which comes preinstalled on iPhones, does the trick. The good news is that it’s quick and easy to scan a document, save it, and send it wherever it needs to go. If you’ve kept your phone up to date with iOS 26, it’s easy to use this feature. Keep in mind that the process will be different if you haven’t upgraded past iOS 17, but we’ll walk you through it.  

Here’s how to scan a document with your iPhone.

Using an iPhone as a document scanner

James Martin/CNET

Scan a document with your iPhone or iPad

To scan a document with your iPhone or iPad, first place the document on a flat surface in a well-lit area. 

Open up the Notes app and either open an existing note or start a new one by tapping the New Note button in the bottom right corner (pencil-in-square icon). On iOS 17 and earlier, tap the Camera button at the bottom of the screen (or, if you’re editing a note, the same Camera icon above the keyboard), then tap Scan Documents. If you’re on iOS 26, instead of a Camera icon, tap the Attachments button (the paperclip icon), then tap Scan Documents.

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This will open a version of the Camera app that just looks for documents. Once you position your iPhone over the document you want to scan and place it in view of the camera, a yellow rectangular layer will automatically appear over the document, showing approximately what will be captured. Hover over the document for a few seconds, and the iPhone should automatically capture and scan the document, but you can also tap the Shutter button in the bottom center. You can scan multiple documents at once if you’d like. When you’re done, tap the yellow checkmark in the top-right corner. 

Using an iPhone as a document scanner

James Martin/CNET

Sign, share or save your scanned document

Once you’ve captured a document, you can tap it and any others you’ve captured in the same session to edit them before saving. You can also tap Retake in the top right corner to start again.

When you edit the document, you can recrop it from the original photo (if you need to tweak its edges) and switch between color filters (color, black and white, grayscale or the unedited original photo). Then you can save the scanned document.

Once it’s saved as a note, you can tap the Markup button (circled pen icon) at the bottom to sketch or scribble with different colors. If you tap the Add button at the bottom right (the plus sign icon), you can add text, your signature, shapes or even stickers. Once you’ve added a signature, you can tap it to bring up a menu,  then tap the diagonal line to edit its thickness and color. You can tap and hold the signature to move it around.

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There are also AI tools for adding and rewriting text, though they aren’t helpful for signing documents. To use them, tap the center button that looks like a diagonal pencil stylus surrounded by a circle of loops. 

To send or save the document locally, tap the Share button at the top (the square-and-arrow icon) to send it via Messages or other apps, copy it, save it locally in the Files app, or print it via a linked printer or other options.

Watch this: ProRaw vs. JPEG: The Hidden Setting Every iPhone Photographer Needs

How to export your scanned document as a PDF

Understandably, you may want to send your scanned document as a PDF. Tap the Share button at the top (the square-and-arrow icon) and scroll down below the contact and app roulettes to the additional list of options. 

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The easiest way to send your scanned document as a PDF is a bit convoluted: among the aforementioned list, tap Print, then tap the Share button at the top (square-and-arrow icon) again — this will share your PDF-converted document. Then pick your share method of choice, most easily via email, though you can also upload it to cloud storage or send it via text message if you want.

You can also use a third-party app to convert your document to PDF if you so choose. Scroll down past the Print button to find your app of choice. For instance, if you have the Adobe Acrobat app downloaded to your device, you can select Convert to PDF in Acrobat to do so — though you’ll need to wade past several screens attempting to upsell you on Adobe subscriptions first. 

Why can’t I find the camera button to scan documents?

If you’re running iOS 26, the Camera button has been replaced by an Attachments button (a paperclip symbol). It should function just the same: Tap it and choose Scan Documents from the dropdown menu

If you can’t see the Camera or the Attachments button, check to see if you’ve opened the note in either the iCloud section or the On My iPhone section — you’ll only be able to scan documents and save them in either of these places. If you can’t tell, tap Folders in the top-left corner of the Notes screen, then select either iCloud or On My iPhone. 

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The document scanner is just one of many unnoticed iPhone features that come prepackaged in Apple’s handsets, often nested in the apps that come with your phone. Some hidden iOS 26 features add even more surprising capabilities already on your iPhone. But you can also find ways to do other tasks, like making a GIF on your iPhone, using third-party apps, or doing it in your browser.

Watch this: 26 More Things Hidden in iOS 26

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Gmail’s new AI Inbox is here, but you’ll need to pay a lot to acesss it

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Google has launched Gmail’s AI Inbox in beta for Google AI Ultra subscribers in the United States, replacing the traditional unread message count with an AI-driven system.

The feature sits as a separate label in Gmail’s sidebar and divides unread emails into two sections, To-dos and Topics, with To-dos surfacing time-sensitive items, including messages from designated VIPs, upcoming bills, appointments, and reminders for emails that have gone unanswered.

Topics groups related email threads together under a single heading, allowing users to scan conversations by subject area rather than sender, reducing the back-and-forth of hunting through an inbox for connected messages spread across different dates.

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AI Inbox also tracks whether a user has already engaged with a suggested task through signals like reading, archiving, or deleting the relevant email, with Google planning to add a dedicated Mark as Done option to the feature in the near future.

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All processing takes place within Gmail’s own infrastructure, with Google confirming that the AI Inbox handles email content securely without routing data outside the platform, a reassurance aimed at users cautious about AI tools accessing sensitive correspondence.

It’s only available as part of the top-end AI plan

Access is currently limited to Google AI Ultra subscribers, a plan priced at $250 per month that also includes the highest usage limits across Gemini, 30TB of Google Cloud storage, a Google Home Premium Advanced plan, YouTube Premium, and access to Google’s broader suite of AI tools.

AI Inbox was previously available only to a small group of testers, with Google having promised broader availability later in the year, though the expansion to Ultra subscribers stops well short of a general rollout given the plan’s steep monthly cost.

For existing Ultra subscribers, the addition represents meaningful value without any extra charge, while users on lower-tier Google plans will need to wait for confirmation of whether AI Inbox will eventually reach more affordable subscription options.

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