Technology

• Google Docs is introducing a new Audio Overviews feature
• Audio Overviews can read your documents aloud or summarize them like a podcast
• The tool aims to help users improve their writing and enable multitasking

Reading your writing out loud is one of the best ways to discover any mistakes or awkwardness that could use some editing. But as the writer, you might have a blind spot for your own typos or be too close to what you wrote to note where it needs some rewriting (or outright cutting).

So, if you don't always have a friend on hand to help, Google will start jumping in with a new Audio Overview feature for Google Docs.

Audio Overviews are already a part of Google's NotebookLM platform. Now, Google is sending that “natural-sounding” narration to Google Docs to read your documents aloud.

The goal is for the user to hear Audio Overviews read a document back to you, uncovering every mistyped word and stilted phrase you didn't hear when you wrote it.

(Image credit: Google)

Google is also including a second option besides just getting an AI recitation. You'll be able to hear what the company calls a “podcast-style overview” of the text, meaning just a collection of the highlights instead of every single word. For texts that are more than a dozen pages long and full of research, that could be a big help.

Alas, this isn't the kind of podcast-style review available on NotebookLM, which will generate an actual conversation between two AI voices discussing everything you've uploaded.

Reciting AI

Google claims the voices will be indistinguishable from an actual human, and if it's the same AI voice model employed by NotebookLM, that's not far from the truth. Of course, mispronouncing words, especially proper nouns they haven't heard before, is a very human foible when reading out loud. Still, that might not matter much if it also catches your actual errors.

The feature also has a major accessibility benefit as AI voices reading text have been a boon for people with impaired sight or other reading difficulties. An upgraded, more natural-sounding voice to read Google Docs would only make text more accessible. Plus, it could help anyone who just has a lot going on. You could 'read' a long report while driving, folding laundry, or doing anything else that keeps your eyes busy.

This isn't a world-shaking feature, but it's the kind of quality-of-life improvement to a widely used product, Google Docs, that AI is uniquely suited to provide. It's hard to argue that using AI to enhance productivity software to make it more adaptive is unnecessary.

Anything to streamline how you polish your writing will be a draw. Not that Google is unique in this pursuit, though, as both Microsoft and Apple have been experimenting with similar AI augmentation of their word processors.

Even so, Google Docs is the go-to for millions of people, students, and professionals alike, and this move makes the product that much easier to stick with.

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• Dough Spectrum Canvas is an affordable alternative to Apple's Studio Display
• It is the display every Mac user has been waiting for
• The display offers a Mac-friendly design, tailored for creatives

For many Mac users, Apple’s Studio Display is a highly desirable product, but its steep price will have placed it out of reach for some potential buyers.

Tech start Dough is developing the Spectrum Canvas, an alternative to the Apple Studio Display, based on feedback from Mac users on r/Mac.

This device is a 32-inch 6K monitor aimed at creatives, remote workers, and professionals who want Apple-like quality without the premium price tag. The Canvas aims to strike a balance between visual fidelity, premium materials, and community-informed features.

6K display built with macOS in mind

At the heart of the Spectrum Canvas is LG’s 6K IPS Black panel, which was announced at CES 2025. It offers true 10-bit color, 98% DCI-P3 coverage, 218 PPI, a 2000:1 contrast ratio, and 99.5% AdobeRGB coverage.

The monitor also includes an ATW polarizer, which helps reduce IPS glow and improves color uniformity. With this level of performance, the Canvas is being positioned as one of the best 5K/8K monitor options available for modern Mac users.

In terms of design, the device features an anodized aluminum body, a die-cast stand, and solid cover glass on the front. The glass finish is glossy yet anti-reflective, avoiding the glare typically associated with glossy panels.

At the time of writing, some aspects of the monitor, such as power delivery specs, webcam options, speaker integration, and USB hub layout, are still under development. Instead of finalizing these decisions internally, Dough is involving its user community in the process. Those interested in contributing can join the company’s Reddit community.

For users searching for the best monitor for Mac Mini or the best monitor for MacBook Pro, the native 6K resolution and large format of the Spectrum Canvas promises to deliver a seamless experience across both everyday tasks and creative workflows.

As of now, Dough has not released official details regarding pricing or availability.

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• China’s GPMI cable could finally replace HDMI and Thunderbolt
• GPMI supports 16K video, high power, and universal control
• GPMI offers more speed and power than HDMI ever could

Following its push to replace Bluetooth with Nearlink, China is now turning its attention to physical connectors, targeting HDMI, USB4, and Thunderbolt with a new high-bandwidth alternative.

The General Purpose Media Interface (GPMI) was recently unveiled by the Shenzhen 8K UHD Video Industry Cooperation Alliance, a consortium of over 50 tech companies.

Designed to meet the demands of ultra-high-resolution content, GPMI promises significant improvements in speed, power delivery, and versatility, enough to transmit 8K, and potentially even 16K, video.

A choice of versions

The GPMI standard comes in two versions - the more powerful GPMI Type-B offers a massive 192Gbps bandwidth and can deliver up to 480 watts of power, enough to support high-performance laptops for photo editing, and far exceeding the capabilities of HDMI or Thunderbolt.

GPMI Type-C, on the other hand, uses the widely adopted USB-C form factor but doubles the bandwidth of USB4 and Thunderbolt 4, reaching 96Gbps.

It also matches USB4’s 240-watt power delivery, enough to power 5K/8K monitors and charge devices simultaneously.

In comparison, HDMI 2.1 maxes out at 48Gbps and delivers no power. USB4 and Thunderbolt 4 both top out at 40Gbps, with power delivery of 240W and 100W, respectively. DisplayPort 2.1, currently the leader in bandwidth at 80Gbps, does not offer power transmission.

Additionally, the GPMI standard supports a universal remote-control protocol, allowing users to control multiple connected devices with a single remote.

This will be especially useful for creative professionals who rely on multiple displays or peripherals, such as those using high-end laptops for graphic design.

Via TomsHardware

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As someone who's covered Apple for almost a quarter of a century, this Apple Intelligence Siri chapter is by far its most confounding one. We're now just two months away from the next Apple developer's conference, and it will likely mark an ignominious anniversary for Apple's artificial intelligence efforts.

Apple's uncharacteristic failure to deliver on a product promise has shocked many fans. Ever since the company announced it would not deliver some of the promised Siri enhancements this year, I, for one, have been wondering how we got here.

Now, a new report paints a surprising picture of rival AI factions or rather two teams with divergent strategies that somehow led to flashy demos and some unfulfilled promises.

Not everything in The Information's report on the Apple Siri debacle is surprising. I've been writing for some time about how Apple's usually laudable adherence to privacy principles hamstrung its Siri efforts.

However, The Information's claim that Apple's AI lead John Giannandrea and Craig Federighi (Apple's software engineering head) were in some fashion acting at cross purposes is unexpected.

Giannandrea's slow and steady approach and Apple's insistence on using its own models as opposed to, say, OpenAI's GPT LLMs was in stark contrast to the obvious excitement Federighi's Intelligent Systems team had for experimenting with and possibly using third-party models.

Two visions, no clarity

(Image credit: Future / Lance Ulanoff)

Internal battles are not unheard of in companies of all sizes, but they usually don't play out on a public stage at Apple. As The Information tells it, the Apple Intelligence demos I saw last June at WWDC may have broken what I thought was a cardinal rule for Apple: never announce technology that you can't demo live, at least in some fashion.

When Apple stunned WWDC 2023 with the new Apple Vision Pro, it followed later that afternoon by inviting a handful of journalists (including me) for hands-on demos. The pricey mixed reality headset wasn't done, but it was still functional enough to blow our collective minds.

In the case of Apple's Intelligence, though, our post-event demos were limited (Siri was no smarter). It seems that not only were many of the best bits not finished, but Apple may have shown them off in the pre-tapped keynote without giving the main Apple AI team in charge of Siri a full heads-up.

Doing so obviously put Apple in a tough spot. The pre-tapped WWDC video showed us a responsive and aware Siri capable of looking into your iPhone, its apps, and your information to take action on your behalf. Apple then promised we'd see it sometime that year.

Even after Apple delivered the iPhone 16 with iOS 18 and the first blush of Apple Intelligence (a new look, writing tools, Image Playground, Genmojis), most assumed it was just a matter of time before Siri got its major intelligence glow-up.

Half baked

(Image credit: Future / Lance Ulanoff)

By possibly demonstrating technology that was not ready or even fully programmed to run on any Apple Intelligence-ready iPhone, Apple may have set itself or, at least the Siri team, up for failure.

Apple hasn't spoken on the record about this beyond the initial announcement of the delay. News that Apple Intelligence is now reportedly under Craig Federighi's leadership is further proof that perhaps Apple realizes it chose the wrong path.

Federighi's team, according to The Information, is much more open to integrating third-party LLMs. It's a good strategy not only because it will help Apple's AI efforts get back on track but also because it's the same strategy employed by most of its AI competitors, at least those who are not at heart AI companies.

Late in the game, Amazon relied on Perplexity's Claude AI models to build its own Nova system. Samsung has leaned heavily on Google Gemini to develop its own models. As we well know, Microsoft made a big bet on OpenAI's GPT models to power Bing AI and then Copilot to build its own Microsoft AI models.

Siri will rise

(Image credit: Future/Jacob Krol)

This, folks, is the way in. Sure, it's maybe less predictable and, possibly, rock-solid secure than Apple's initial strategy, but most of these companies are racing ahead while iPhone fans wait for Apple to get its act together.

Federighi (and Vision Pro lead Mike Walker) taking over is good news, but much of Apple's future success in the AI space will depend on Apple CEO Tim Cook's leadership.

This failure happened under his watch, possibly because he trusted the team to get the job done and has been adamant about sticking to Apple's secure and private approach. Now Cook has to find a new plan and, with Federighi, identify a clear path that gets you the smarter Siri you want in 2026, if not sooner.

I've seen Apple do amazing things in the past, and honestly, I'm confident it'll do it again here.

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• Immutable backup storage is the best ransomware protection
• Research shows backups are almost always targeted in ransomware attacks
• Ransomware is on the rise already in 2025

Ransomware attacks in the first quarter of 2025 set new records, up by 84% in the same period of 2024, new research has claimed.

Moreover, ransomware is often talked about as an attack that businesses should expect to be hit by, with two-thirds of organizations experiencing an attack in the last two years.

But it’s not all doom and gloom, as new findings from Object First shows 81% of IT decision makers agree that immutable backup storage is the best ransomware protection.

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Segmentation, zero trust, and immutable storage

While having a 3-2-1 backup strategy is a start when it comes to ransomware protection, the Object First research also reveals that 96% of organizations who have suffered a ransomware attack in the last two years saw their data backups targeted as part of at least one attack, with one in ten seeing their backup storage targeted in every attack.

While there is a general consensus that immutable backup storage is probably the best way to protect against ransomware, only 59% of organizations actually deploy this form of storage, and only 58% have multiple copies of their data in separate locations.

In addition to this, 61% of respondents believe that IT security hardening offers enough protection against ransomware attacks.

Object First recommends that businesses adopt a breach mentality, and couple this with Zero Trust principles and immutable backup storage.

To do this, businesses should segment their networks to minimize the potential blast radius of an attack, alongside using authentication mechanisms for log-ins such as multi-factor authentication and identity access management practices.

Moreover, each user should only have access to the files and applications they need for their specific workload.

Immutable backup storage helps protect against ransomware attacks by storing data in a way that it cannot be modified or deleted.

Traditionally, these have been hard drives or other storage mediums that are used to back up data and then stored in an ‘air-gapped’ environment that has no connection to the outside world. However, with cloud services booming, immutable cloud storage is now also an option.

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• Kaspersky observed a threat actor called ToddyCat abusing a bug in ESET's cybersecurity solution
• The group used a now-patched flaw to deploy a piece of malware called TCESB
• Users are advised to patch their systems and monitor for threats

A component of ESET’s endpoint protection solution was being abused to launch stealthy malware on Windows devices.

In an in-depth report, security researchers from Kaspersky said they saw a critical vulnerability in ESET’s command-line scanner being abused to deploy a tool named TCESB.

The vulnerability, now identified as CVE-2024-11859, allowed attackers to hijack the loading process of system libraries by abusing how the ESET scanner usually loads them. Instead of retrieving legitimate libraries from system directories, the scanner would first look in its current working directory, which enabled a classic “bring your own vulnerable driver” approach.

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ToddyCat

The group behind the attack is dubbed ToddyCat. It is an advanced persistent threat (APT) group, first observed in 2021.

It is known for targeting government and military organizations, diplomatic entities, and critical infrastructure. Its targets are mostly located in Asia and Europe, and there are some indications that it might either be Chinese, or China-aligned. This was not confirmed, though.

In this instance, the researchers did not discuss the victims, their industry, or location.

However, it was said that ToddyCat was able to place a malicious variant of version.dll alongside ESET’s scanner, which forced the endpoint protection tool to run the custom malware and thus bypass standard security detection mechanisms.

The TCESB malware is a modified version of an open-source tool named EDRSandBlast, Kaspersky further explained, saying that it includes features that change the OS kernel structures and can disable callbacks (notification routines).

ESET patched the flaw in January 2025 following responsible disclosure. Organizations using this popular endpoint protection solution are urged to update their systems as soon as possible, and closely monitor their endpoints:

"To detect the activity of such tools, it's recommended to monitor systems for installation events involving drivers with known vulnerabilities," Kaspersky said. "It's also worth monitoring events associated with loading Windows kernel debug symbols on devices where debugging of the operating system kernel is not expected."

Via The Hacker News

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