Last week Google launched Gemini 3.8 Live and Live Extended Thinking models, touting them as the company’s most advanced live dialogue models yet. The idea, it said, was to give “developers and enterprises… building blocks for reliable, production ready voice agents.” It also made speaking back to Gemini more natural, so users can do complex tasks with voice commands.

Now, Google has added video to that formula with Gemini 3.8 Live with Live Avatar. It pairs near real-time visual presence to the live dialogue models, creating “an experience that listens, sees and speaks with a dynamic visual persona.” In a nutshell, these are avatars designed to do things like sales support and customer service, so you may be interacting with them in the near future.

In several videos in the blog, Google shows both realistic and cartoon-like Avatars. They can do things like precise lip-syncing, natural expressions and  “fluid turn-taking.” Using them, the company says, will enable natural, multimodal conversations by allowing the avatars to communicate using facial expressions while also looking, listening and speaking. The avatars are backed by Gemini’s advanced reasoning, allowing Live Avatar to trigger tool calls and fetch data in the background while continuing an active dialogue. 

Google will offer a library of “diverse, preset avatars,” or organizations can customize their own from high-quality reference images to preserve “reference likeness, brand styling or character identity.” Those are only available through enterprise allowlisting, the company added. The Live Avatars are also built with “strict safeguards designed to respect identity and keep AI-generated content transparent,” with each one watermarked using Google’s SynthID. 

As mentioned, Live Avatar is designed strictly for Google’s Gemini Enterprise customers. However, you may see the results some day soon in the form of customer service or sales avatar appearing on your computer or phone screen. Base on what Google has shown so far, and people’s distaste for AI slop, they may not be universally popular.

Big quote: Nvidia CEO Jensen Huang said AI companies that cannot control the systems they are building should stop developing them. Huang made the comments during an interview with The New York Times’ Ezra Klein, as companies including OpenAI and Anthropic push for tighter rules governing advanced AI models and autonomous agents. He argued that the companies developing these systems already have the power to hold back products they believe are unsafe.

“Now, if they say the alternative, which is: There is no way to contain our experiments, there’s just no way; when we test our AI models, it will get out, and it will damage the world – then I think the answer is that we have to shut the labs down,” Huang said. “Because the cost to humanity, the damage is too great. The shareholder, the liabilities – it could be civil liabilities, it could be criminal liabilities. I mean, the liability’s incredible.”

The issue has become more pressing as AI developers give their models access to external tools, software systems, and computer networks. The risks are no longer limited to a chatbot producing incorrect information. Agents can write and run code, search for information, interact with websites, and carry out tasks across different systems.

Those concerns received renewed attention after an OpenAI agent hacked Hugging Face, a popular platform for hosting AI models. Nvidia now owns Hugging Face. The incident has been cited in the wider debate over whether companies can safely test and deploy increasingly capable AI agents.

Anthropic, OpenAI, and other frontier AI companies have pointed to the possibility of rogue or misused systems in their calls for new safeguards. Huang has taken a different view. He said companies should not portray themselves as powerless to prevent unsafe releases.

“These are companies with agency,” Huang said. “If I believe that I’m about to launch a product that is unsafe, it is completely in my ability… to not launch that product. And so I can’t buy into the idea that somehow, all of Americans, around 400 million of us, are pushing them to launch untested products that are unreliable.”

Huang is not arguing that AI should be exempt from oversight. Rather, he said existing laws and regulations should be used when companies cause damage or release products irresponsibly.

“I’m saying that we have lots of laws and regulations. Apply it,” Huang said.

His comments come amid a growing split between Nvidia and some of the companies that rely on its hardware. Nvidia’s GPUs are the backbone of the computing systems used to train and run the largest AI models. The company has benefited from the race to build more powerful models, but Huang has rejected the most extreme warnings about where that race could lead.

He recently dismissed claims that AI could destroy the world by 2030. At the same time, he said AI companies should not ship products before they are ready or put unsafe systems in front of users.

The regulatory fight has also become tangled with competition concerns. OpenAI, Anthropic, Google, and xAI are facing an antitrust lawsuit over an agreement to slow AI development. The plaintiffs say the plan is self-serving and designed to limit competition. The companies have presented slower development as a safety measure.

Huang’s argument shifts the focus back to the companies making the models. Frontier labs have grown quickly from research organizations into businesses that may be worth hundreds of billions of dollars. In his view, that growth brings a basic obligation: if a company knows a system is unsafe, it should not release it.

“I’m not against laws and regulations,” Huang said. “I’m against, currently, the distraction.”

Leaked artwork of the next iPad mini shows its front camera on the long edge, a useful change for video calls that would bring the small tablet in line with other iPads.

The images reportedly come from Apple’s code and show only the front of the device. They offer a glimpse of its layout, but leave the back and sides unseen.

The current iPad mini’s Center Stage camera sits on its short edge, so the lens ends up off to one side during landscape calls. Center Stage can keep you in frame, but it can’t move the lens above the screen where you’re looking.

A narrow groove also appears along the top of the pictured display glass when the tablet is upright. Earlier reporting described a vibration-based speaker that could eliminate conventional speaker holes and help improve water resistance.

The groove raises questions about how that design might work, but the image can’t settle them.

The code reportedly identifies an A20 Pro chip, which earlier leaks had already suggested. An OLED display is also expected, but the artwork can’t confirm the screen technology.

MacRumors first reported the images and code details in its original report.

An earlier report put the new iPad mini’s release by the end of October. Product artwork in Apple’s code suggests preparations are underway, but it doesn’t establish when Apple will announce the tablet.

India’s Gen Z consumers are becoming one of the country’s most influential economic forces, and they’re making shopping decisions very differently from previous generations. A new report by Rukam Capital, in partnership with YouGov, suggests that young consumers rely more on personal research than influencers, increasingly use AI to compare products, and still put family at the center of festive spending.

Gen Z shops with AI, but still wants the final say

One of the report’s biggest findings is that AI has become a regular part of the buying journey. Nearly 6 in 10 Gen Z consumers say they use AI at least occasionally to research products, compare features, or find the best prices before buying.

However, the generation isn’t ready to hand over complete control. While 70% are comfortable receiving product recommendations from AI, only 49% would allow AI to make purchasing decisions without their approval. The report describes this as a balance between convenience and personal agency, with Gen Z treating AI as an evaluator rather than a replacement for decision-making.

AI adoption also extends beyond shopping. Around 66% of respondents said they’d trust AI for healthcare-related guidance, while 63% are open to using it for career advice, highlighting AI’s growing role across everyday life.

Influencers drive discovery, but research builds trust

Despite the rise of creator marketing, the report found that Gen Z rarely buys products purely because an influencer recommends them. Instead, 29% discover products through social media creators, but just 6% make an immediate purchase afterward. Personal research remains the strongest source of trust. 27% of respondents said they trust their own research more than anything else, compared to 20% who rely on friends and 15% who prioritize online reviews.

The same skeptical mindset appears in trend adoption. One-third of respondents research viral trends before trying them, while only 9% adopt trends immediately. Brands that overuse influencer marketing, forced slang, or trend-chasing also risk losing credibility, with roughly 30% of Gen Z respondents calling out those tactics as inauthentic.

The report suggests that Gen Z is pragmatic despite its reputation for impulsive spending. Quality (51%) and price (49%) emerged as the two biggest factors influencing purchase decisions, ranking well ahead of trends or social media popularity.

Research has become a defining habit, with 46% saying they now investigate products more thoroughly before buying. Only 4% purchase immediately after discovering a product online. Trust also plays a major role. Concerns about fake listings and deepfake content have led 32% of respondents to verify sellers before buying, while 29% prefer established brands they already trust. Meanwhile, 28% regularly use quick-commerce platforms for convenience, even as 20% admit they’ve become more impulsive shoppers in certain situations.

In September 2015, the Founders Fund hosted a retreat at an eco-resort in British Columbia. Most of the attendees were VCs and people from the companies the firm was backing, but they also invited a few outsiders, including computer pioneer Alan Kay, writer Neal Stephenson, and me.

One morning at breakfast I was sitting across from Kay at a long table. The man who conceived the Dynabook—basically the modern computer that we all use—was expounding on his exploits when Founders Fund leader Peter Thiel plopped down next to him. As Kay, in full raconteur mode, spun stories of optimizing the mouse and advising Steve Jobs, Thiel listened with increasingly visible incredulity. Finally, he couldn’t take it. “Who ARE you?” he demanded of Kay.

The mustachioed legend was stunned. He began stumbling out his bona fides, but quickly realized that for someone unacquainted with his résumé, it would have sounded ridiculously overblown. It was like asking Einstein or Mick Jagger to explain themselves. Kay stopped mid-sentence and sighed. “I’m just an old has-been,” he said and went back to his breakfast. Two worlds had collided, and failed to connect.

I thought back to that moment a couple of weeks ago while reading an op-ed in The New York Times headlined “Silicon Valley Was Right From the Start,” by Sharon Weinberger. The essay claimed that the portrait often painted of the Valley as driven by the counterculture and a desire to make the world better was a sham. Today’s bare-knuckled approach to accumulating massive wealth, kowtowing to an authoritarian leader, and embracing lethal military technology simply exposes the industry for what it always was. (Weinberger’s essay was promoting her new book Valley of Death: How Big Tech Is Fueling the Future of War.)

“Silicon Valley’s values haven’t changed, just its customers,” she wrote, calling the industry’s current love affair with military tech “less a story of political conversion than of market adaptation.” In that reading, all that hippie stuff about free expression and democratization during the 1980s PC revolution and the 1990s Internet boom was a mirage, an opportunistic feint by Big Tech to push its wares and garner the loot.

I disagree. The story as I see it is that beginning in the late 1970s, a new generation of technologists, identifying with the counterculture, operated with a set of values that unleashed innovation and ironically set the stage for the industry’s current wealth. Yes, that movement carried a torch from the field’s defense industry roots. But even as DOD funding kept fueling innovations (Darpa grants provided dough for the GUI, the internet, and Google Search), that new generation was characterized by idealism, a hackerish love of building things, and disdain for conventional practices.

That mindset changed not only the course of the computer industry, but the culture of American business. (Before Apple Computer, a CEO wouldn’t dare come to work in anything but a suit.) Denying the existence of that idealism is not only inaccurate, but it conveniently lets the new generation of defense contractors off the hook for their pivot toward deadly materiel.

When I shared my views with Weinberger, she acknowledged that I’d probably studied tech culture more than she had from her perch in Washington, DC. Still, she gamely defended her op-ed. “We’re all products of what we grow up in,” she says. “If you were growing up in the peace-dividend era, with defense tech jobs disappearing, the money from defense was less important, and you start to have different values.”

By that standard, the market shift from missile control modules to Macintoshes was driven not by values but by greed. Likewise, she says, the recent return to high-tech weaponry doesn’t represent a philosophical repositioning but a fortuitous opportunity to sell to a Pentagon eager to exploit the Valley’s innovations. “It’s not like everybody in the workforce in Silicon Valley woke up and went, like, ‘Defense is cool,’” says Weinberger. That impulse to go where the money is, she argues, is the defining ethos of Silicon Valley. “Your prime directive is for your company to succeed,” she says. “Why didn’t Apple work with the military? Because they didn’t need to. They had the consumer marketplace.”

Chinese President Xi Jinping told Donald Trump at the White House on Thursday that the US and China can continue their dialogue on artificial intelligence. The two sides can also jointly prevent its misuse and abuse, according to China’s foreign ministry readout of the talks.

“Both China and the United States have strong AI capabilities. They may have competition, but they may cooperate even more. The right thing to do is to draw on each other’s strengths, not guard against each other,” the readout says of Xi’s remarks.

“The two sides can continue their dialogue on AI, exchange views on its risks and benefits, and jointly prevent the misuse and abuse of AI. AI must be kept under human control,” the readout says.

Xi also called for a people-centred approach, so that AI serves the progress of humanity, the readout says.

The readout also gives Trump’s side of the conversation on AI. The two leaders met for about 90 minutes in the Oval Office. By Friday morning in Washington, the White House had not published its own readout of the meeting.

“AI concerns the future of humanity. The United States and China should maintain dialogue and strengthen cooperation on AI,” the readout says of Trump’s remarks.

Trump’s post before the talks

Hours before the meeting, Trump set out his own position in a post on Truth Social.

“A big day with President Xi of China. Super Intelligence (SI) will be a big topic of discussion, but I want to leave it exactly where it is. That is China’s position also. Our guardrail is the DOJ!” Trump wrote.

“Super intelligence” is Trump’s new name for AI. On Tuesday, he told the UN General Assembly that the US would encourage the technology, not rein it in. He also said the US would reject any global mechanism to control it. Earlier this month, he called AI fears a hoax on Truth Social.

What the leaders said in public

Before the closed talks, both leaders spoke at the arrival ceremony inside the White House. Xi’s remarks were interpreted into English.

“Both China and the United States are leading nations in artificial intelligence. We have both the capability and responsibility to develop and manage AI for good, and ensure that the development of AI is always under human control and serves the well-being of the people,” Xi said.

“We do not need to avoid mentioning competition, but our competition should be a healthy one and should be kept within bounds. It should be a race of catching up with one another, not a wrestle in which one either wins or loses,” he said.

Trump spoke first, and named AI among the topics for the visit.

“During this visit, we will also discuss pressing issues concerning security, technology, and superintelligence, SI. The decisions we make in these areas today can promote peace and prosperity for decades and decades to come,” Trump said.

The first US-China AI dialogue

The summit followed the first US-China AI dialogue between the two governments. China’s commerce ministry spokesperson, He Yadong, announced it in Beijing on Thursday, as CNBC’s Evelyn Cheng reported. The lead trade negotiators, Vice Premier He Lifeng and Treasury Secretary Scott Bessent, held it, he said. It took place during an eighth round of trade talks in the US.

The ministry called those talks candid, in-depth and constructive, and said they reached several points of agreement. Bessent and He met in Manhattan on 20 September. There, the US proposed AI incident alerts between the two countries. They would cover events serious enough to count as national security incidents. Neither the ministry’s statement nor the Chinese readout of Thursday’s meeting mentions that proposal.

The trade teams also agreed to extend a truce that was due to expire on 10 November. Bessent told Fox News on Wednesday that it would now run until 10 January. According to the readout, Xi said the two teams had reached a new joint arrangement.

The state dinner

Trump hosted Xi at a state dinner in the East Room on Thursday evening. The White House guest list, published by CNBC, included Sam Altman and Greg Brockman of OpenAI. Nvidia’s Jensen Huang, Meta’s Mark Zuckerberg and Microsoft’s Satya Nadella were on it. So were Google’s Sundar Pichai and Sergey Brin. David Sacks, co-chair of the President’s Council of Advisors on Science and Technology, also attended.

Apple chairman Tim Cook, Huang, Elon Musk and AMD’s Lisa Su sat at the leaders’ table, CNBC reported. Anthropic was not on the list. On Wednesday, its chief executive, Dario Amodei, asked the UN Security Council to back a ban on AI bioweapons as a first step.

“No leader, no company, and no nation can manage this alone,” Amodei told the council.

In his toast at the dinner, Xi said the two leaders had reached “common understanding on many issues”. That had “added new substance” to the relationship, he said. On Friday, Xi and Peng Liyuan were due to join Trump and Melania Trump for a private tea and a tour of the National Archives, before leaving Washington.

You can spend $1,000 or more on a flagship smartphone, another $500 on wireless headphones, subscribe to a lossless streaming service, and still discover that Bluetooth is the weakest link in the chain.

For iPhone owners, the issue is especially obvious. Apple continues to rely on AAC and SBC for conventional Bluetooth audio, which means headphones capable of aptX Lossless, aptX Adaptive, or LDAC cannot use those codecs when connected directly to an iPhone. Android is less restrictive, but codec support varies considerably between manufacturers and devices. 

That is the problem the new iFi UP Play Max is designed to solve.

The $89 USB Type-C Bluetooth transmitter plugs into a smartphone, tablet, computer, or compatible gaming device and bypasses the source device’s native Bluetooth codec limitations. Its headline feature is aptX Lossless, which can deliver lossless 16-bit/44.1kHz audio when paired with a compatible receiving device. It also supports other higher-quality Bluetooth codecs for broader compatibility. 

Because apparently buying expensive wireless headphones and then discovering your equally expensive phone cannot use their best codec is still something we are doing in 2026.

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More Than Just aptX Lossless

The UP Play Max is not the first USB Type-C transmitter to give iPhone users access to better Bluetooth codecs. What makes it interesting is the collection of additional features iFi has packed into a device weighing only 3 grams.

iFi includes K2 Technology, licensed from JVCKENWOOD, which the company says reconstructs harmonic information lost during digital processing. It can be switched on or off through the iFi Nexis app, so listeners who would rather leave the signal alone are not being held hostage by somebody else’s idea of sonic improvement. 

There is also a dedicated low-latency mode using aptX Adaptive for gaming and television viewing. A built-in microphone adds Qualcomm noise and echo suppression for calls and in-game chat, making the UP Play Max more practical for gamers than a transmitter focused exclusively on music playback. 

Two pairs of conventional Bluetooth headphones can also be connected simultaneously, although dual-headphone listening is limited to the SBC codec. 

Auracast Is Coming Too

The UP Play Max will also support Auracast, allowing one source to broadcast Bluetooth audio to multiple compatible receivers.

That feature will not be available immediately. iFi says Auracast will arrive through a firmware update shortly after launch, so consider it a promised feature rather than something to check off on day one. 

The Nexis app handles codec selection, paired devices, K2, low-latency mode, Auracast controls, and over-the-air firmware updates. 

iFi UP Play Max Specifications:

• Type: Portable Bluetooth transmitter
• Connection: USB Type-C
• Bluetooth: 5.4
• Chipset: Qualcomm QCC5181
• Maximum Resolution: 24-bit/96kHz
• Codecs: aptX Lossless, aptX Adaptive, aptX HD, aptX, LDAC, AAC, SBC
• Dual Headphone Pairing: Yes, using SBC
• Auracast: Yes, via post-launch firmware update
• Low Latency Mode: Yes, via aptX Adaptive
• Microphone: Built in with Qualcomm noise and echo suppression
• App: iFi Nexis for iOS and Android
• Dimensions: 27.6 x 20.8 x 8 mm
• Weight: 3 grams

Competition?

The FiiO BT1 remains a formidable alternative. It also uses Qualcomm’s QCC5181 chipset, supports aptX Lossless, LDAC, and aptX Adaptive, weighs 3 grams, and launched at just $44. 

The Questyle QCC Dongle Pro2 is even closer conceptually. At $99, it supports aptX Lossless, LDAC, LHDC, LC3, Bluetooth 6.1, and Auracast, making it one of the strongest direct competitors to the UP Play Max. 

iFi’s advantage is therefore not that nobody else has solved the codec problem. They have. The UP Play Max differentiates itself by combining lossless Bluetooth transmission with K2 processing, a microphone, dual-headphone support, low-latency operation, and upcoming Auracast in one very small device.

The Bottom Line

The obvious audience here is iPhone and iPad users with premium wireless headphones or Bluetooth DACs that support aptX Lossless or other codecs Apple does not provide natively.

It also makes sense for Android users whose phones lack a particular codec, laptop owners dealing with mediocre Bluetooth implementations, and gamers who want lower latency without abandoning their existing wireless headphones.

There is one important limitation: the UP Play Max cannot manufacture codec support at the receiving end. To use aptX Lossless, your headphones, earbuds, or Bluetooth DAC must also support aptX Lossless.

Price & Availability

The iFi UP Play Max is priced at $89 USD, $149 CAD, £89, and €99 and will be available through iFi and authorized dealers and ifi-audio.com.

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The takeaway: Two years ago, Microsoft and Qualcomm launched “Copilot+” as their take on what they and Intel called the “AI PC” era. However, the term “Copilot+” is nowhere to be found in the PR for Microsoft’s latest Surface devices. In fact, manufacturers across the board seem to be backing away from explicit AI PC branding while continuing to promote generative AI features.

At the Snapdragon 2026 Summit, Microsoft and Qualcomm spokespeople confirmed to Windows Central that they are no longer describing new Microsoft Surface products or other devices as Copilot+ PCs. While Microsoft has remained committed to promoting its Copilot AI assistant, the comments are a tacit admission that customers have not responded to the idea of rebranding PCs as AI devices.

Brett Ostrum, the Surface division’s corporate vice president, told the publication that Microsoft is still leaning into the AI narrative and offering the same capabilities as before, but that its new devices are not being called Copilot+ PCs. Kedar Kondap, Qualcomm’s senior vice president of compute, echoed those comments, confirming that the companies are offering the same experiences as before, just without the Copilot+ PC terminology.

Microsoft and Qualcomm debuted the Copilot+ branding when they launched the first wave of Arm-based Windows PCs in 2024. Copilot+ was their version of what Intel dubbed an “AI PC” – PCs with at least 16GB of RAM and NPUs capable of at least 40 TOPS of AI compute. Other manufacturers hopped on the bandwagon, and AMD even renamed its mobile CPUs to include the word “AI.”

However, data quickly showed that while AI PCs were selling, customers were buying them because they needed new PCs and the new systems happened to include NPUs, rather than because they specifically wanted AI PCs. Manufacturers have since quietly retreated from AI-related branding.

One of the biggest signs came in January, when Dell revived the XPS brand after killing it a year earlier – admitting that AI alone isn’t a good enough selling point for new PCs. Microsoft’s latest Surface laptop refresh even includes models with only 8GB of RAM, meaning they no longer meet the original AI PC benchmark.

Ironically, AI-driven memory shortages are partly to blame. Early next month, Microsoft plans to unveil new high-end Surface laptops in collaboration with Nvidia, which has historically preferred running AI workloads on its own RTX GPUs rather than NPUs.

“It looks better.” That’s the thought that immediately ran through my head when I turned on the Hisense UR9 RGB Mini-LED TV after it received its long–awaited Dolby Vision 2 Max update. The update arrived unannounced one evening as I sat down to re-watch an episode of Pluribus. I installed it, went back to watching, and it was like I was staring at an entirely new TV.

Dolby Vision 2 is an updated version of the Dolby Vision HDR format that brings several important upgrades. On the display side, TVs that support Dolby Vision 2 primarily benefit from a new “image engine” designed to enhance not just forthcoming content with Dolby Vision 2 metadata, but legacy Dolby Vision content as well.

On the creative side, Dolby calls its new tool set Content Intelligence, and this lets producers safeguard their carefully mastered works from the vagaries of home viewing conditions, with everything from dark mancaves to well-lit living rooms accounted for. Regular Dolby Vision already did this to an extent by dynamically tone mapping images to fit the specific brightness capabilities of TVs, and it has been helped along by features such as Dolby Vision IQ, which uses the TV’s light sensor to automatically adjust brightness based on room lighting. But the more powerful processors and higher brightness capabilities of newer TVs allow for even more advanced features, which is where Dolby Vision 2 steps in.

Future TVs supporting the basic version of the new format will provide Dolby Vision 2 picture modes with an “intensity slider” allowing for user adjustment. TVs that support Dolby Vision 2 Max, a group that at present is limited to the 2026 Hisense UX, UR9, UR8, and U7 series (the first models to get the update, which is rolling out now) and TCL X11L and QM8L series (update expected in late 2026) will benefit from these additional features:

• Authentic Motion – Lets creatives dynamically adjust picture frame rates to eliminate motion judder when played back on TVs supporting the feature.
• Light Sense 2 – An evolution of Dolby Vision IQ that dynamically adjusts picture brightness based on room lighting conditions without compromising black levels.
• Pro settings – Dolby Vision 2 picture modes and settings that allow for additional adjustment of parameters including white balance.

Dolby has stated that Dolby Vision 2 content will be available in the future on streaming sources including CANAL+, iQIYI and Peacock. It’s possible it will also be used for mastering 4K Blu-ray discs, though there have not yet been any official announcements from the Blu-Ray Disc Association for confirm this. For now, however, Dolby Vision 2 can be used to enhance the massive library of existing Dolby Vision content, and the benefit of the new image engine is easy to appreciate.

The New Modes

When you look at the Picture Settings menu on a Dolby Vision 2-supporting TV such as the Hisense UR9, you’ll see a new tab in the Display & Picture menu labeled Dolby Vision. Clicking this calls up a Dolby Vision 2 menu, where you can view a sample clip and preview a selection of related menu settings even when the TV isn’t playing Dolby Vision content.

When you are playing actual Dolby Vision content, a Dolby Vision 2 logo pops up at the screen’s upper right, and clicking that same Dolby Vision tab in the Display & Picture menu will reveal a settings and adjustment menu with various presets. Custom and Game are two basic ones, with each providing only a Picture Intensity slider to boost or reduce the effect of the image engine, which adjusts multiple picture parameters at once. The Standard and Pro Reference presets both feature additional adjustments. Some of these can be used now for existing Dolby Vision programs, while others, like Authentic Motion and Precision Black, are intended for future Dolby Vision 2-authored content, and can be enabled by turning on the Content Optimized settings switch.

Along with a Picture Intensity slider, the Standard preset features an Advanced Calibration menu with a 20-point white balance adjustment. The Pro Reference preset also provides an Advanced Calibration Menu, but in place of the Picture Intensity slider it has Peak Luminance and Minimum Luminance adjustments that let you set your own tonal curve for the high and low ends of the brightness range.

Upping the Intensity

After playing with the various Dolby Vision 2 presets, I found that Standard provided the most consistently satisfying picture quality enhancement. It could sometimes make blacks look a bit elevated, but for the most part, all of the Dolby Vision content I watched looked significantly better.  

The Dolby Vision 2 Picture Intensity slider provides five steps in either direction of the zero default to boost or reduce enhancement, with the -5 setting effectively turning it off. When watching a few reference Dolby Vision movie scenes on 4K Blu-ray, even with the Picture Intensity slider at its default zero setting I noted an increase in color richness and shadow and highlight detail. The effect made darker scenes in the James Bond film No Time to Die noticeably more three-dimensional. And in the movie’s brighter scenes, the boost in color richness and detail didn’t negatively impact the naturalness of skin tones.

I found the benefits of Dolby Vision 2 most apparent when watching scenes from House of the Dragon on HBO Max. This show has many interior shots that take place in dark castles, and it can be difficult to make out objects, and even characters, in the gloomy backgrounds. But watched with the Dolby Vision 2 Standard preset active on the Hisense UR9, those same dim scenes had a more lively and detailed look while maintaining solid contrast. Colors, such as the crimson of a robe worn by Rhaenyra, were also now visible in certain shots where they had previously appeared muted. It’s almost as if Dolby Vision 2 was created specifically to improve the look of House of the Dragon.

The Pro Reference preset also improved the appearance of Dolby Vision content at its default settings, though I found pictures looked flatter than with Standard when I tested it. For example, when I watched the “space waltz” scene from 2001: A Space Odyssey, where floating spaceships are accompanied by The Blue Danube, the picture in Pro Reference lacked the same level of visual “pop” as in Standard, which retained a full level of highlight detail even with the Picture Intensity slider pushed to its maximum setting. Adjusting the Pro Reference mode’s Peak Luminance and Minimum Luminance sliders let me get results that were reasonably close to Standard, but the latter still delivered a richer, more detailed and three-dimensional looking picture.

The Bottom Line

I’ll need to evaluate the Dolby Vision 2 on more than one TV to get a complete idea of its effect on regular Dolby Vision content – something that presumably can happen when TCL updates its sets with the feature. In the meantime, I’m thoroughly impressed with the improvements Dolby Vision 2 has brought to the Hisense UR9. I’ll admit to having considered Dolby Vision 2 mainly as a “future” thing that would only matter when actual Dolby Vision 2 content became available. But based on the picture quality enhancements I’ve already seen it bring to regular Dolby Vision content, Dolby Vision 2 looks to be a must-have feature.

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First look: HTX Studio has built a desk that can find a phone, move a wireless charging coil beneath it and begin charging without requiring the device to sit on a dedicated pad. The build was inspired by Apple’s AirPower, the charging mat Apple showed in 2017 but later canceled. AirPower was meant to let users place compatible devices freely on a mat rather than lining them up over a specific charging spot. HTX Studio applied that idea to an entire desk surface.

HTX Studio spent about two months building the desk. The creator documented the project in a YouTube video that shows the build process and the system’s various functions. The project combines camera-based device detection, motor control, wireless charging, a transparent display and desk automation in one system. Its main idea is simple: instead of placing a phone on a charging coil, the desk brings the coil to the phone.

A camera mounted above the desk identifies where the phone has been placed. That information is sent to a motorized system under the desktop, which moves a single charging coil into position.

Installing fixed coils across the desktop was not practical; the creator estimated it would take about 600 coils to cover the surface. Instead, the desk uses one coil that travels beneath the top panel.

The first version showed the idea could work, but it had limitations. The motors were slow, cables could become tangled and the system did little other than charge a phone. The finished version adds a display, a computer, standing-desk controls and several automation features.

The desktop includes a transparent display that activates when you place a phone on it. An animated cat appears over the charging area and follows the coil as it moves below the device. The display can also show basic information and a task tracker.

The desk cannot use its moving coil to charge several devices at once in different locations. But the coil can move from one detected device to another. HTX Studio added two fixed charging coils in the desk’s corners for additional devices.

The same moving-coil system can charge a keyboard. When the coil returns to its home position, it aligns with a receiver coil inside the keyboard and begins charging it.

A Mac mini is built into the desk and can be connected to a monitor, turning the project into a working computer setup. The display surface shows charging effects and task information while the Mac mini handles the computer side of the workstation.

HTX Studio also linked the desk’s motorized legs to the system. After detecting that the user has been seated for about an hour, the desk displays a reminder. An on-screen button can then raise it to a saved standing height.

The project includes a hydration reminder as well. An electromagnet on the moving assembly can pull a compatible cup across the desk toward the user. The movement is intended to prompt the user to drink water during the workday.

Focus Mode is designed to reduce phone use. Starting the mode displays a 25-minute timer beneath the phone. If the user picks up the phone before the timer ends, the desk will not charge it again when it is placed back on the surface.