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Apple Watch Series 12 has slightly larger bezels

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Customers upgrading from Apple Watch Series 11 to Apple Watch Series 12 are noticing some design changes, namely a larger bezel and a Digital Crown that sticks out a bit further.

The Apple Watch Series 12 has a new Health Sensing system, which replaced the rear sensor stack with a larger surface area. That seemed to be the only significant external design change, at least, until customers got their hands on them.

According to various posts on Reddit, customers are noticing a few minute differences between Apple Watch Series 12 and the previous Apple Watch Series 11. When looking at the display head on with a non-black background, the bezels are noticeably larger on the new model.

Plus, the Digital Crown appears to slightly protrude more, but this could also be due to how the case curves around the area.

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The display change might be a surprise for some, but it is likely related to needing more internal space for the new health features. The case has increased by 1mm in one direction regardless of if you get aluminum or ceramic cases.

That slightly change in case size without a change to the active display area means larger bezels. The only way you’d ever notice the change is if you had the two models side-by-side to compare.

Some social media users speculate that this means Apple could release an Apple Watch 13 with a larger display in 2028, but it is anyone’s guess at this point.

Users have also noted that the new Apple Watch models don’t appear to support handwashing detection. Apple’s support page doesn’t list the new models on the compatibility page, though it could be that the page hasn’t been updated yet.

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The Apple Watch Series 12 and Apple Watch Ultra 4 shipped to customers Friday and are available in stores. The focus for this release cycle is on health upgrades and Audio Intelligence.

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FiiO M25 VERITA and R2R DAPs Launch With 1.7W Per Channel and Two Very Different DACs

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FiiO showed us the M25 and M25 R2R at CanJam London in July, but both digital audio players were still pre-production models with provisional specifications, no confirmed pricing, and enough unanswered questions to keep the Head-Fi forums occupied for months.

Two months later, FiiO has officially launched both models in China for ¥7,499, and the final production specification looks considerably more interesting than another expensive Android music player stuffed with flagship DAC chips.

The standard model is now officially called the M25 VERITA and uses AKM’s flagship separated-DAC architecture with one AK4191EQ digital processing chip and two AK4499EX DACs. The M25 R2R takes the opposite route with FiiO’s proprietary 24+5-bit segmented R2R PRO resistor-ladder DAC. Same player platform. Same Chinese price. Very different approaches to converting bits into music.

FiiO could have changed the finish, added another anniversary logo, and charged more money. Nobody would have been particularly shocked. Instead, it is giving buyers two genuinely different conversion architectures without forcing them into two different product tiers.

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One Platform, Two Very Different DACs

The M25 VERITA uses the AK4191EQ + dual AK4499EX architecture that has become familiar in some of the better premium DACs and headphone amplifiers. The AK4191EQ handles digital processing separately from the AK4499EX conversion stage, allowing FiiO to build its own analog and amplification stages around AKM’s flagship platform.

FiiO is also introducing four selectable AKM-based sound profiles with the VERITA. We have not heard the final production version, so we are not going to tell you that one setting suddenly makes poorly mastered music sound like Rudy Van Gelder was behind the console. We will reserve judgment until we actually listen to it.

fiio-m25-r2r
FiiO M25 R2R

The M25 R2R is substantially different. Its proprietary 24+5-bit segmented R2R PRO architecture uses a segmented resistor-ladder topology rather than conventional delta-sigma conversion, following the direction FiiO has already taken with products including the K17 R2R.

The upper five bits use thermometer coding, an approach designed to reduce the cumulative errors that can occur in conventional R2R ladder implementations. FiiO also provides selectable voicing options for the R2R version.

R2R does not automatically mean warmer, more analog, or better. The DAC architecture is only one part of the signal chain, regardless of what somebody with 47,000 forum posts might insist.

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What makes the M25 family interesting is the ability to choose between these two architectures while keeping almost everything else constant.

More Power Than the Prototypes

FiiO M25 R2R and M25 DAPs
FiiO M25 R2R and M25 DAPs at CanJam London 2026

FiiO has also revised the output specification since the prototypes appeared earlier this summer.

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Both production models can deliver up to 1,700mW + 1,700mW into 32 ohms from the balanced output in Super High Gain mode, with THD+N specified below 1%. High Gain reduces that to 1,000mW per channel into 32 ohms, while the 4.4mm balanced output delivers 220mW per channel into 300 ohms in Super High Gain mode.

The single-ended output is rated at up to 500mW per channel into 32 ohms in the same maximum-power operating mode. Four gain settings are provided, ranging from Low to Super High.

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That is serious output for something intended to leave the house. Sensitive IEMs obviously do not require anywhere near that level of power, but the M25 should have considerably more flexibility with demanding full-size dynamic and planar magnetic headphones.

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FiiO M25 and M25 R2R Key Specifications

  • Models: M25 VERITA and M25 R2R
  • Processor: Qualcomm QCS6490
  • RAM: 8GB
  • Internal Storage: 128GB
  • Expandable Storage: microSD up to 2TB
  • Display: 5.5-inch, 1080 x 2160
  • M25 VERITA DAC: AK4191EQ + dual AK4499EX
  • M25 R2R DAC: FiiO proprietary 24+5-bit segmented R2R PRO
  • USB Controller: XMOS XU316
  • FPGA: High-capacity FPGA with customized femtosecond clock
  • Headphone Outputs: 3.5mm single-ended and 4.4mm balanced
  • Maximum Balanced Output: 1,700mW + 1,700mW into 32 ohms in Super High Gain mode
  • Balanced Output Into 300 Ohms: 220mW + 220mW in Super High Gain mode
  • Maximum Single-Ended Output: 500mW + 500mW into 32 ohms
  • Gain: Low, Medium, High, Super High
  • Equalization: 31-band PEQ and Auto EQ
  • Bluetooth: Bluetooth 5.2
  • Bluetooth Transmission: SBC, AAC, aptX, aptX HD, aptX Adaptive, LHDC, LDAC
  • Bluetooth Reception: SBC, LDAC
  • Local/USB DAC Resolution: Up to 32-bit/768kHz PCM and native DSD512
  • Battery: 6,500mAh
  • Charging: Up to 30W fast charging
  • Desktop Mode: Supported with battery isolation
  • Chinese MSRP: ¥7,499 for either version
  • European MSRP: €1,249 for either version
fiio-m25-dap-back-inputs

FiiO rates battery life at approximately 9.5 hours single-ended and 8.5 hours balanced for the M25 VERITA, while the M25 R2R stretches those figures to approximately 14.5 and 12.5 hours, respectively. Actual endurance will obviously depend on gain, output level, screen usage, wireless connectivity, and the headphones attached.

Why Are These Different?

The most interesting aspect of the M25 is not the processor, power figure, or increasingly inevitable wall of PEQ options.

It is choice.

Most manufacturers decide which DAC architecture belongs at a given price and sell you that implementation. FiiO is effectively offering two versions of the same automobile with completely different engines and charging the same amount for either one.

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That is particularly interesting because the DAC market has become far more diverse again in 2026.

We recently covered the $289 SMSL R100, which uses a pair of Analog Devices AD1861-J multibit DAC chips, alongside the $649 SMSL D400 MK2, which goes in the opposite direction with AKM’s AK4191 and AK4499EX platform. Schiit has just introduced the $699 Bifrost 3, abandoning the previous True Multibit architecture for its proprietary Mesh digital processing feeding ESS modulators.

FiiO itself has been particularly aggressive with R2R. The $989.99 K17 R2R combines its 24+5-bit segmented resistor architecture with 31-band PEQ, network playback, and up to 4 watts per channel from a desktop chassis. Its K13 R2R, BR15 R2R, WARMER R2R, and even DM15 R2R portable CD player demonstrate that FiiO is no longer treating resistor ladders as some exotic technology reserved for people who own cable elevators.

The M25 brings that argument into the premium portable category and makes the comparison unusually clean. Buyers can choose AKM delta-sigma conversion or FiiO R2R without changing the processor, memory, storage, display, EQ platform, or basic amplification capability.

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Whether they actually sound dramatically different is another question, and one we would prefer to answer with headphones on our heads rather than a block diagram in front of us.

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The Bottom Line

When we saw the M25 and M25 R2R at CanJam London, the most compelling part of the concept was FiiO’s decision to offer two fundamentally different DAC architectures inside essentially the same player.

The production models make that idea even stronger. Both receive a fast QCS6490 platform, 8GB of RAM, 128GB of storage, powerful headphone amplification, 31-band PEQ, Auto EQ, desktop operation, and enough connectivity to function as portable players or serious USB DAC/headphone amplifiers.

The decision comes down to the conversion stage: AKM’s flagship delta-sigma architecture in the M25 VERITA or FiiO’s latest segmented resistor ladder in the M25 R2R.

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And because FiiO is charging exactly the same price for both in China, choosing between them may finally come down to something refreshingly old-fashioned in high-end digital audio.

Which one actually sounds better?

Pricing & Availability

Both the FiiO M25 VERITA and M25 R2R are listed for €1,249 pre-order on FiiO’s European website, with availability expected in mid-to-late November 2026.

FiiO has not announced official U.S. pricing or a North American release date.

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Has the James Web Space Telescope Discovered a New 'Black Hole Star'?

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The James Webb Space Telescope has been picking up little red dots in almost every image,
writes Quanta magazine. And now two teams of astronomers propose they’re looking at a new astronomical object: a black hole star. It shines with the light of billions of suns — and hides a black hole in its core.

But Quanta adds that “not everyone agrees with this bold interpretation.”

[Two Webb telescope surveys of distant objects included little red dots] for hours at a time. They tabulated precisely what shades of light were coming from each dot, and how bright the shades were… The bombshell discovery in the little red dot spectra was that the colors of hydrogen were smeared out across multiple shades. Usually, seeing such an effect means you’re looking straight at an exposed black hole. Black holes whip hydrogen clouds around them at furious rates, with the clouds emitting slightly different colors depending on their speed…

Then, in the spring of 2025, [two of the paper’s astronomers] de Graaff and Naidu’s teams unveiled the two strangest dots yet… The new little red dots couldn’t literally be stars — they were way too bright. And they didn’t look much like black holes either. Black holes have an assortment of ringlike structures of different temperatures… Naidu and de Graaff concluded that they were[ looking at the first examples of something combining the vigor of a black hole with the outward appearance of a star: a black hole star… This black hole would pull gas around it, dramatically heating it and pushing light and energy outward, which would keep the outer layers of hydrogen from collapsing inward. In this way, the black hole would form the “engine” of the star, analogous to the fusion-powered core of our sun… “We are seeing the seed,” Naidu said. “This is the birth of potentially every massive black hole in the universe.”

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“Astronomers have spent the last year in a lively debate about what’s really going on,” Quanta adds. And this week simulations using the Japanese Supercomputer ATERUI III “have explained the nature of the Little Red Dots without requiring any exotic assumptions,” writes Phys.org — by conducting the most detailed cosmological simulations yet of conditions in the early universe:

The simulations show that the Little Red Dots are black holes growing at a rate that would be impossible today because of conditions in the early universe. The simulations show that in the early universe, intense far-ultraviolet (FUV) radiation from nearby galaxies suppresses star formation in gas clouds, so rather than forming many small stars, the gas can form a single supermassive star, which then collapses into a black hole seed.

The simulations show that, once formed, these black hole seeds are surrounded by dense gas disks. This environment traps radiation, enabling the black holes to grow at rates dozens of times faster than would be possible in the modern universe. The simulated properties of these rapidly growing black holes provide a good match to the Little Red Dots (LRDs) observed by the James Webb Space Telescope (JWST).

Read more of this story at Slashdot.

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Monday-morning surprise: Valve Software suddenly launches its wireless VR headset Steam Frame for $1,059

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Valve’s Steam Frame virtual reality gaming headset. (Valve Photo)

In a sudden shadowdrop, Bellevue, Wash.-based Valve Software announced on Monday that it’s launched its new standalone virtual-reality headset the Steam Frame.

Initially revealed in Nov. 2025 as part of the same initiative that brought us the new Steam Machine, the Steam Frame is a new entry into the VR hardware space.

Valve’s previous VR device, 2019’s Index, was designed to be installed semi-permanently in a single room. The Frame, conversely, is a standalone wireless device that consists of a lightweight headset and two hand controllers, much in the same spirit as the Meta Quest 2.

As with Valve’s other recent hardware projects, the Frame is essentially a specialized PC running the custom SteamOS 3, a Linux-based operating system. The Frame runs off of a Snapdragon 8 Gen 3 processor, with 16GB RAM, a microSD card slot, and two 2160 x 2160 LCD screens, one per eye. Oddly, it does not ship with its own dedicated power supply, but can be recharged using the same kind of USB-C plug as the Steam Deck uses.

As with the rest of Valve’s hardware, the Frame is designed to run games from your Steam library, but doesn’t necessarily run every game that’s currently on Steam. Instead, the Frame has its own verification system similar to the Steam Deck’s, with over 100 games currently hand-tested to be compatible with the Steam Frame. Every Frame also comes with Valve’s 2020 game Half-Life: Alyx as a pack-in bonus.

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As with the Steam Machine, Valve plans to offer the first batch of Frames with a lottery system. To minimize the impact of scalpers, Valve intends to leave signups open for both models of the Frame until Thursday morning, then randomize the list once and email customers to let them know if they’re getting a Frame or will end up on the waiting list.

The Frame, top left, was the final entry for now in Steam’s hardware lineup. (Valve Photo)

Maybe most importantly, however, the Steam Frame’s starting price is $1,059 for a model with a 256GB internal storage drive. Users who want or need more storage can upgrade to a model with a 1 TB drive for $1,299.

Much as how its low price tag was the biggest point in the Steam Deck’s favor back in 2022, the Frame’s high price tag is an albatross around its neck. Reviews note that it’s a uniquely comfortable device and makes it easier than ever to fire up games in VR, but selling it for over $1,000 means it’s unavoidably aimed at the most hardcore members of what was already a niche market.

This is the same problem Valve hit with the launch of the Steam Machine back in June, and it’s likely to be an issue for every hardware manufacturer in the market for the foreseeable future. With AI companies gobbling up most of the RAM and hard drives on Earth for data center construction, in an event that’s often nicknamed the “RAMageddon,” any consumers who look to build or buy a new PC or console can expect a bad case of sticker shock for the foreseeable future.

That having been said, the Frame does position Valve to pick up where other companies have left off. Meta was previously the market leader in the VR space (PC Gamer claimed recently that Meta still commands roughly 54% of the VR market), but has made distinct cutbacks in 2026 in favor of refocusing on AI research and wearable computing.

Meta invested heavily in recent years on the assumption that virtual reality was the next big thing, and while it made big strides in making VR accessible, it appears to be in the process of rethinking that bet. VR still has plenty of fans and advocates, but it has yet to live up to the hype factor that it had in the late 2010s. The AI arms race, to some extent, appears to have eaten its lunch.

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On paper, Meta’s pullback could’ve left space for Valve to shoulder-check its way into the VR market, but then RAMageddon hit. This wasn’t a bad plan as recently as last year, but the current state of the hardware market makes the Steam Frame a tough lift.

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Universal and Sony sue Suno again, this time over 60,202 recordings

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“The magnitude of the alleged infringement is not a defense,” the court told Suno in August.

Universal and Sony have now sued the AI music company a second time. They filed the complaint in the District of Massachusetts on Friday, as case 1:26-cv-14275.

It asserts 60,202 sound recordings. The first case, filed in June 2024, is still running.

The filing names twelve label entities, led by UMG Recordings and Sony Music Entertainment. Warner is not among them.

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The judge effectively told them to file it

The labels first tried to fold the new recordings into the existing case. They moved to amend the original complaint to add more than 61,000 further works.

A forensic analysis of Suno’s training data had turned those up.

Suno opposed that motion. On 18 August the court denied it without prejudice, mainly because amending would disturb the case schedule.

The court did not question the claims themselves. The labels are “of course entitled to pursue valid claims for copyright infringement”, it wrote.

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It then pointed at the exit. Proceeding in “parallel cases” best balanced the labels’ interests with judicial economy, the court concluded.

The new complaint says the labels are doing exactly what the court contemplated.

What the labels say Suno already conceded

The complaint leans on Suno’s own answer in the first case. The labels say Suno acknowledged building its models “by showing the program tens of millions of instances of different kinds of recordings”.

Those recordings “presumably included recordings whose rights are owned by the Plaintiffs in this case”, Suno said, according to the filing.

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What Suno would not do, the labels say, is name them. They commissioned the forensic analysis for that reason, and say it found millions of their works in the training corpus.

Suno has not yet responded to the new complaint, which reached the docket on Friday.

Three licensing deals are the labels’ sharpest weapon

Suno has spent the past year signing the very agreements the labels say it should have sought first. The complaint lists three.

Warner Music Group signed in November 2025, and the complaint calls it a “former plaintiff”. BMG followed on 12 August, from a company the labels note had “never sued Suno”.

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Believe signed on 8 September to supply training data. Nine days later Suno launched v6 on licensed catalogue.

The labels draw the obvious inference. Three agreements in under a year “confirm that a functioning market exists for licensing sound recordings to train generative AI models”, the complaint says.

Suno has tried to frame the deals differently. Chief product officer Jack Brody has said the revenue share is “not in exchange for training” and that the deals are “not really about the data”.

The complaint quotes Mikey Shulman, Suno’s co-founder and chief executive, saying the company “will be licensing works”. It calls the deals “a functioning licensing market, whatever nomenclature Suno adopts for litigation purposes”.

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Suno’s own terms ask for what it did not give

The filing turns Suno’s contract with its users against it. Since January 2024 its terms of service have required every user to grant Suno a “worldwide, non-exclusive, fully paid-up, sublicensable” and “irrevocable” licence over anything they upload.

That licence covers reproducing, storing, modifying and creating derivative works from user content. The labels say it shows Suno knew perfectly well that training on someone’s audio needs permission.

Demanding a licence upstream while taking commercial recordings for free, the complaint argues, makes the infringement “knowing and willful”. Willfulness is what unlocks the higher damages tier.

The artist-name switch

Suno once blocked users from prompting it with the names of specific recording artists. Shulman cited that policy as proof the models were built to generate “completely new outputs”.

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The complaint says the block is gone. “This design feature turned out to be so fundamental that Suno simply switched it off,” it reads, and users can now prompt with artist names through prompt augmentation.

The complaint also quotes an early investor. “If we had deals with labels when this company got started, I probably wouldn’t have invested in it,” the investor told Rolling Stone.

Suno, the investor said, “needed to make this product without the constraints”.

What it could cost

There are three counts. Two are direct infringement, split between post-1972 recordings and pre-1972 ones protected under the Music Modernization Act.

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The third is circumvention. The labels say Suno “stream ripped” audio from YouTube, employing code to access, extract, copy and download files in breach of YouTube’s own terms and of section 1201(a).

The labels ask for up to $150,000 per work for willful infringement, plus up to $2,500 for each act of circumvention. Across 60,202 recordings the statutory ceiling alone runs past $9bn.

They also want an injunction requiring Suno to stop circumventing YouTube’s measures and to stop infringing, and they have demanded a jury.

The flood is the market-harm argument

Fair use turns partly on market effect, and the labels have reached for numbers rather than adjectives.

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Deezer reported in July that AI tracks passed half of all daily uploads for the first time, roughly 90,000 a day, up from about 39% six months earlier.

Suno has told investors its users generate a Spotify catalogue’s worth of output every two weeks. The complaint also cites The Velvet Sundown, an AI act that reached over a million monthly Spotify listeners in summer 2025 before listeners learned it was machine-made.

Shulman’s own words do a lot of work in the filing. The complaint quotes him saying it is “not really enjoyable to make music now” and that “increasingly taste is the only thing that matters in art and skill is going to matter a lot less”.

Suno is worth more than when it was first sued

The complaint sets out the company’s finances in detail. Its latest round raised more than $400m at a $5.4bn valuation, against $2.45bn in autumn 2025.

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The labels say Suno makes hundreds of millions a year and projects $1bn in revenue by 2028. Its top subscription tier costs $24 a month.

People who had worked together at Kensho Technologies founded Suno in July 2023. The company works out of Cambridge, Massachusetts, and Microsoft integrated it into Copilot that December.

It is not the only front

Sony ran the same play against Suno’s closest rival in July, suing Udio a second time over 30,000 more songs.

Europe has already produced a ruling. A German court found Suno broke copyright in a case brought by the collecting society GEMA.

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Shulman said in January 2025 that it seemed “silly to throw a bunch of venture dollars at lawyers instead of sitting down and talking about how you could work together”. The labels note he said it seven months after they sued.

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3 new Netflix TV series to binge this weekend if you love crime dramas

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September brought a good batch of new Netflix TV series, spanning across different genres and tones. This weekend we’ve got a crime family drama with all the sharp banter you’d expect from Guy Ritchie, a true crime retelling that brings a female killer to the spotlight this time, and a bleak Nordic thriller that turned into a surprise global hit within days. Each of these picks earns every bit of its buzz, so add them to your watchlist right away.

We also have guides to the best new movies to stream, the best movies on Netflix, the best movies on Hulu, the best free movies, and the best movies on Amazon Prime Video.

Monster: The Lizzie Borden Story (2026)

Genre: Biography, True Crime, Drama
IMDb rating: N/A
Rotten Tomatoes: N/A

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The fourth installment in Ryan Murphy and Ian Brennan’s Monster anthology tackles the infamous 1892 murders of Andrew and Abby Borden, told through the eyes of their daughter Lizzie (Ella Beatty), the prime suspect who was ultimately acquitted. Trapped in a household built on control and cruelty, Lizzie and the family’s maid, Bridget Sullivan (Vicky Krieps), retreat into a shared fantasy that slowly starts blurring with reality.

Ella Beatty gives an utterly captivating performance as the unsettling yet deeply sympathetic lead. I was impressed by the eerie, claustrophobic setting that makes the family house feel like a prison for Lizzie. I also appreciate how the series leans hard into gender, class, and repression as the real culprit behind the violence, instead of treating the murders as just another grisly mystery to solve.

You can stream Monster: The Lizzie Borden Story on Netflix.

The Gentlemen (Season 1, 2024 – Season 2, 2026)

Genre: Action, Comedy, Crime
IMDb rating: 8/10
Rotten Tomatoes: 79%

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An aristocratic British officer, Eddie Horniman (Theo James), unexpectedly inherits his family’s massive country estate only to discover a massive weed empire hiding underneath. He gets sucked into a chaotic underworld filled with eccentric gang leaders, posh criminals, and dodgy deals. It serves up Guy Ritchie’s signature brand of razor-sharp banter, snappy quick cuts, and violence.

I absolutely loved the electric, slick dynamic between Theo James and Kaya Scodelario in Season 1. Their cool, calculating swagger makes it a fun watch. Season 2 shows Eddie expanding his operation into Italy, and the stakes escalate right alongside the ambition. I’ll admit the early episodes had me worried the show had lost some of its charm, but by the time it reaches its final stretch, the show pulls everything back on track, enough to make me genuinely eager for season three.

You can stream The Gentlemen on Netflix.

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Blood Sacrifice (2026)

Genre: Crime, Drama, Thriller
IMDb rating: 6.3/10
Rotten Tomatoes: 90%

Blood Sacrifice is a newly released five-episode miniseries that follows Detective Thomas Berg (Jakob Oftebro), who reluctantly teams up with his estranged ex-cop father Alfred (Peter Andersson) after two police officers are found murdered near Stockholm’s summer archipelago. As more officers turn up dead in the same brutal fashion, Thomas realizes the killer is copying a case the original suspect couldn’t have committed, since that man is already behind bars.

From George Kay, the creator of Lupin, strips away usual Hollywood polish in favor of slow, methodical procedural teamwork. It became Netflix’s most-watched non-English series within days of release, and it’s easy to see why. The father-son dynamic gives the investigation real emotional stakes beyond just chasing a killer, and the show delivers a bleak, grounded Nordic noir that keeps you guessing until the final stretch.

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You can stream Blood Sacrifice on Netflix.

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Tesla Semi Production Comes Alive as Top Gear Tech Tours Nevada Then Rides the Finished Truck

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Top Gear Tesla Semi Test Drive Factory Tour
Jack Scarlett opened the first episode of Top Gear Tech by walking into a finished production Tesla Semi eight years after the 2017 reveal. A small pilot fleet reached customers in late 2022. Those trucks and later units have now logged about 17 million test miles that fed the version now leaving the line.



Sparks, Nevada is home to a massive 1.7 million square foot plant that cost $3.6 billion and is capable of constructing 50,000 trucks per year, or nearly 1,000 per week when it’s running at full speed. Tesla developed the entire truck and building from the ground up to maximize speed, dependability, and cost effectiveness, rather than welding together an existing diesel chassis. They chose to use a powder-coating process rather than a regular paint shop, as they already do with their Megapack energy products. Apparently, it saves capital costs and floor space, reduces pollutants, and still produces a good finish. The base color is white, although fleet owners can add their own custom colors later if desired. They also have a handy equipment that tightens all ten wheel lug nuts in one go, saving time and effort.

Top Gear Tesla Semi Test Drive Factory Tour
Another thing they did was leave the cabs open at the back so that large interior components such as the dashboard and seats could be installed from behind, rather than having to force them through the door. Plus, center seating allows them to use the same tooling for every market, which is a game changer. Inside, a six-foot-six individual can easily stand erect. Heated and cooled seats reduce the stress on the cabin temperature control system, and a creative new seatbelt design incorporates a bright infrared coating that reminds the driver to fasten up.

Top Gear Tesla Semi Test Drive Factory Tour
The sun visor is a large magnetic device that folds in half, and the windshield is enormous. In fact, it is so large that it eliminates the five-meter blind spot that is common on ordinary American long-nose trucks. The redesigned front fascia features the same Model Y light-bar design and is divided into three portions that can be replaced if damaged. They’ve also managed to increase aerodynamics by three percent over previous prototypes, and without a trailer, the drag number is even lower than that of a Bugatti Chiron.

Top Gear Tesla Semi Test Drive Factory Tour
Standard-range trucks are equipped with a 548 kWh battery pack made up of 4680 cells. Long-range variants add a third module, thereby doubling the capacity. They claim an efficiency of approximately 1.7 kWh per mile. In terms of range, they’re aiming at 325 or 500 miles, which is roughly equivalent to a regular day’s driving in the United States or Europe. A 30-minute pause can add roughly 60% charge, which is sufficient. They have three motors generating approximately 1,076 horsepower, with a high-torque axle that handles launch and climbs before decoupling and allowing a more efficient motor to take over while cruising along empty. That allows you to accelerate from 0 to 60 in roughly 12.5 seconds, or 24 seconds with a load, and on a three percent incline, the truck maintains a steady 65 mph, but a diesel frequently drops to 50.

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Inside Temporal’s journey to a $12.55B valuation, and its bet on building a backbone for AI agents

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Temporal co-founders Maxim Fateev, CTO (left), and Samar Abbas, CEO. (Temporal Photo)

One of the hottest infrastructure companies in AI today is a startup established nearly seven years ago, tracing its roots to work its founders were doing before the cloud was a thing.

Temporal, based in Bellevue, Wash., announced this week that it raised $550 million at a $12.55 billion valuation, led by Lightspeed, more than doubling its $5 billion valuation in February. Its software is used by OpenAI, Nvidia, Netflix, Snap and JPMorgan Chase, among more than 4,300 paying customers, and its annualized revenue run rate recently passed $250 million.

It might seem like an overnight success, but it’s not, said Samar Abbas, Temporal’s co-founder and CEO, speaking along with co-founder and CTO Maxim Fateev in an interview with GeekWire this week. They first met at Amazon in 2010, where they worked on Simple Workflow Service, an AWS product for coordinating long-running tasks across distributed systems.

“We’ve been hacking away at this problem for 20-plus years now,” Abbas said.

The problem: software that runs in many steps across many machines breaks in the middle, and picking up where it left off is far harder than it sounds. Their answer, for which they coined the phrase “durable execution,” records each step as it completes, so a program survives a crash or a failed outside service, and finishes rather than starting over or leaving the work half-done.

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“It’s core infrastructure. You really cannot go and build it very fast,” Fateev explained. “It took us years and years to get to the point where we knew what we were doing.”

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It’s also especially well-suited for AI agents, which is why a company built for the cloud era is suddenly at the center of the AI boom. Agents can sometimes run for hours or days, calling models and outside tools that fail routinely. Keeping everything together regardless is Temporal’s role.

“Every Snap story is a Temporal workflow,” Abbas said. “Every time you place an order at a Taco Bell, all of the steps get orchestrated on top of our platform. Some of the most popular coding agents out there are using us as an outer harness. It’s a pretty exciting time for us, from that perspective.”

Pacific Northwest roots: Founded in October 2019, Temporal employs 570 people, roughly double from a year ago, with 89 in the Seattle area. The company is fully remote. Its Bellevue office, previously occupied by OpenAI, is used mainly for meetings rather than daily work.

But the founders describe the region as instrumental to the company’s success. Both have been in the Seattle area for more than 26 years, and they’ve built their entire professional careers here.

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  • Abbas spent 11 years at Microsoft before joining the Simple Workflow Service team at AWS in 2010, then returned to Microsoft and wrote the open-source library that became Azure Durable Functions, leaving for Uber’s Seattle office in 2015.
  • Fateev built the messaging infrastructure behind Amazon’s Simple Queue Service starting in 2004, and later led the architecture of Simple Workflow Service, before going to Google and later reuniting with Abbas at Uber.

When GeekWire first wrote about Temporal in 2020, a year after Abbas and Fateev left Uber, it had 15 employees, $25.5 million in funding and no paying customers. Sequoia Capital led the $20 million Series A, with participation from Seattle’s Madrona and others. Bob Muglia, the former Snowflake CEO and longtime Microsoft executive, was an angel investor. Snap and Box were early users.

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Fast-forward to today, and the company has raised $1.2 billion in total funding. Temporal ranks No. 2 on the GeekWire 200, our list of the top Pacific Northwest startups, behind only Everett fusion energy company Helion, valued at $15.5 billion.

“The kind of talent that we have here in the Pacific Northwest is insane,” Abbas said, citing factors including the deep bench of cloud engineers from Microsoft and Amazon. With another platform shift now underway, he expects the same advantage to apply to AI infrastructure.

The larger question of AI safety: Temporal’s milestone comes amid a growing industry debate over the pace of AI development, and incidents in which AI agents have gone rogue, escaping the systems meant to contain them, including the latest examples from OpenAI this week.

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Abbas said he sees those failures as accountability problems more than model problems.

“As you dig into each and every one of the incidents that have happened in the last three months, it always comes down to no one really knowing what these AI agents did, step by step,” he said.

Part of Temporal’s pitch is that it can make those failures traceable. Temporal records every step as a program runs, leaving a log of exactly what an agent did, in what order, and where it stopped. Abbas said that also creates a place to intervene, inspecting or blocking an action before it executes.

“We can put the agent in a much, much tighter jail,” Fateev said.

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“I’m not going to sit here and tell you we solve AI safety,” Abbas added, calling that the job of the labs that create the models. But a company’s ability to know what its agents did, and to keep them from doing more than they should, is a specific challenge that Temporal can address.

“That’s truly an engineering problem,” Abbas said, “and it’s very solvable today.”

Customers and competition: Bloomberg reported in August that OpenAI is Temporal’s largest customer. Asked whether it’s too dependent on the ChatGPT maker, Abbas said no. The labs are moving fast and driving usage, he said, but the similar growth trends are starting to show up across the rest of the customer base. Abbas said 18 of the top 30 AI-native companies use Temporal.

The AI labs and cloud providers sell their own agent frameworks, and some are getting into the reliability work that Temporal does, which means its biggest customers could become competitors.

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Fateev’s answer is that enterprises don’t want to be locked into one provider, one model or one vendor’s idea of how agents should work. Temporal is open source and takes no position on what a customer runs on top of it, which matters given seemingly constant changes in the tech stack.

The founders also see an opening in how AI systems connect to one another.

Agents increasingly have to call other systems, and each other, to get anything done. Fateev said the standard ways of wiring those connections (such as Model Context Protocol) assume the work finishes in seconds, and fall apart when a job runs for hours or days, or has to be unwound after something fails. Temporal is built for that kind of work, and can serve as an underlying foundation.

What’s next: Temporal plans to put a big chunk of the new funding into research and development, extending the “durable execution” technology at the core of the platform.

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Today, the company tracks an application’s state from the outside, coordinating work that runs elsewhere. In the future, Abbas said, Temporal wants to provide the computing power, too, hosting the agents on its own platform rather than simply directing them on others.

Big business customers have been pushing for stronger security and auditing, another target for the spending. Temporal is also expanding a project called Nexus, which lets teams call each other’s workflows without giving up the guarantees that make the platform useful in the first place.

The company plans to expand internationally, where it does a small share of its business today, and to keep hiring after doubling its headcount over the past year. Abbas said the company’s growth defies the popular wisdom that AI companies don’t need significant human talent.

In the meantime, the founders remain very much engaged with the problem they’ve been trying to solve in one form or another for the past two decades. Temporal’s open-source Slack channel has about 25,000 members, and Abbas said Fateev is still in there mixing it up himself.

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“You ask a question,” Abbas said, “I’m pretty sure Max will jump in within the first five minutes.”

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GlobalFoundries and Marvell are scaling up silicon photonics efforts as data centers outgrow copper wiring

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Lightning Fast: Modern and upcoming data center projects require massive amounts of AI accelerators, and produce similarly massive amounts of data. Traditional silicon-based networking is starting to choke on gigabytes, which is why major manufacturers are now focusing on more advanced technology solutions to move all those bits around.

GlobalFoundries and Marvell Technology have announced an expanded partnership in manufacturing novel connectivity solutions. The multi-year agreement centers on GlobalFoundries’ silicon germanium (SiGe) technology, with the company increasing production capacity at its Burlington, Vermont plant.

SiGe-based solutions are used in high-performance connectivity products, including pluggable optical transceivers, Near-Packaged Optics (NPO), and Co-packaged Optics (CPO). As GlobalFoundries highlights in its announcement, these silicon photonics solutions are becoming increasingly important for AI data centers and other massively packed data-crunching infrastructure.

Jensen Huang says Marvell could become the next trillion-dollar company, and this deal might show why

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AI systems are growing in scale, which means they require faster accelerators exchanging data through high-speed interconnects. GlobalFoundries already offers a portfolio of SiGe, high-frequency connectivity solutions capable of reaching 200 Gbps per optical lane.

GF said it has manufactured advanced SiGe technology for over a decade, and keeps investing in the co-integration of SiGe, silicon photonics, and advanced packaging solutions for new optical connectivity architectures such as NPO and CPO.

While GlobalFoundries ramps up production, Marvell is looking ahead to its own business prospects. The fabless chip manufacturer has seen its valuation explode thanks to the AI boom, and is expected to play a major role in the future of AI data centers and AI growth at scale.

Nvidia has significantly invested in Marvell as part of a broader partnership that includes silicon photonics and next-gen data center collaboration, and Nvidia CEO Jensen Huang has said he expects Marvell to become the next trillion-dollar company on Wall Street.

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According to Robb Johnson, Marvell’s VP of foundry technology, the industry is moving toward higher-bandwidth optical architectures for data centers’ connectivity fabric, and Marvell is aggressively ramping up investment to lead that transition. Thanks to the expanded cooperation with GlobalFoundries, the Santa Clara-based company will have access to all the SiGe chips and transceivers it needs. The two companies have been working together on optical networking technology for over a decade now.

In “traditional” data centers, optics have mostly been used to connect racks and other crucial computing resources across the plants. Cheaper copper-based interconnects are still tasked with moving data at shorter distances, but the technology is approaching its practical limit at 400 Gbps per lane.

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Disney Hires Ex-CEO Of AI Company It Accused Of Copyright Infringement

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Formerly head of Character.AI, Karandeep Anand is now Disney’s chief technology officer. 

Disney hasn’t been a big fan of the apparent copyright infringement that makes the AI industry possible, going as far as to threaten companies like Midjourney and Character.AI for using its intellectual property. The company is also apparently willing to let bygones be bygones — Disney has announced that it’s hiring Karandeep Anand, the former CEO of Character.AI, as its first chief technology officer.

“Karandeep brings a rare mix of experience across infrastructure, consumer technology and AI, and will be a vital addition to Disney’s senior leadership team as we further our three priorities: great storytelling as our North Star, technology in service of creativity, and operating as One Disney,” Disney CEO Josh D’Amaro said in a statement. “He also has real enthusiasm and respect for Disney, a clear sense of where technology and creativity meet and shares our belief that technology creates the most value when it helps people do their best work.”

Since becoming CEO in February, D’Amaro has leaned hard into Disney’s capabilities as a technology company, pitching the Disney+ streaming service and app as central to its future. Hiring Anand, and making him a direct report, is a further attempt to sell that idea. As CTO, Disney says Anand will oversee things like enterprise technology and the company’s data and AI platforms, and bring several of Character.AI’s technical staff along with him in the process. As part of his hiring, Variety writes that Disney is also promoting Adam Smith, the former chief product and technology officer for Disney Entertainment and ESPN, to a new role as Chairman of Direct-to-Consumer for Disney Entertainment.

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Disney’s praise for Anand is surprisingly, given how differently it viewed the company he was leading less than a year ago. In September 2025, Disney sent a cease and desist letter to Character.AI, claiming the platform offered chatbots based on its characters and that they were bad for children. Character.AI had already been named in wrongful death lawsuits involving multiple underage users at the time, so Disney claim that the company’s products were “harmful and dangerous to children” carried some weight.

Of course, one could assume Disney was less worried about the negative effects of using generative AI and more concerned that it wasn’t cut in appropriately. The company did agree to license Disney characters to OpenAI for its failed Sora app only a few months later in December 2025. If the company truly believes AI is part of its future, Anand’s experience is much more important than any misgivings it had about Character.AI.

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The New Resident Evil Movie Captures The Survival Horror Magic Of The Games

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Despite touting the name “Resident Evil,” the movie adaptations of Capcom’s series have mostly ignored the best elements of survival horror games: the sense of dread as you creep into a new location; the desperation you feel when you’re running low on ammo and health items. The six Resident Evil movies starring Milla Jovovich were more interested in bombastic action. So leave it up to Zach Cregger, the director of Barbarian and Weapons, to crack the code of making a genuinely great adaptation: Just make it feel like the best games in the franchise.

And to be clear, I’m not talking about delivering fan service. There are a slew of terrible CG Resident Evil movies that exist to do just that, including the failed 2021 live action reboot, Welcome to Raccoon City. Cregger’s secret weapon is that he’s both an excellent horror filmmaker — someone who knows how to write interesting characters, build tension and deliver scares in unique ways. And he’s a fan of the franchise who understands the true magic of survival horror games.

Resident Evil centers on Bryan (Austin Abrams), a medical courier tasked with making a last-minute run to a remote mountainside town. Of course, that’s Raccoon City. Along the way, he’s also dealing with the anxiety of potentially becoming a father after his girlfriend discovers she’s pregnant. He’s an everyman with deep flaws, the ideal protagonist for a Resident Evil story.

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After an accident on a snowy road, we shift into a first-person view as Bryan creeps towards an injured woman, much like the camera slowly approaching the first zombie in the original Resident Evil. Once the victim reveals herself to be some sort of crazed monster (not a zombie), it almost feels as if we’re controlling Bryan over the shoulder as he tries to avoid her around an overturned police car. Of course, the film can never deliver the interactivity of the games, but Cregger’s camera gets close. Throughout the film, we’re often following Bryan from directly behind, or right over the shoulder, evoking the iconic camera angle of Resident Evil 4.

Bryan finds a conveniently placed pistol and manages to take down the crazed woman, but of course, that’s only the beginning. A mad dog chases him into a barn, where he encounters (and fails) a classic ladder puzzle. He finds an even more conveniently placed shotgun when he seeks refuge in an abandoned farm house, but it’s useless to him until he finds shells. (In one of the few overt callbacks, he encounters a room with a lone typewriter, like the classic Resident Evil save rooms.)

Anyone unfamiliar with the games would have no problem enjoying this film. But Cregger’s understanding of the series also makes it feel like a true survival horror game. We’re viewing every new room and dark corner from Bryan’s perspective, and the sense of dread is palpable. Even though it doesn’t take long for Bryan to snag a few guns, he’s also always aware of the precise amount of ammunition he’s holding. Much like the games, resource scarcity is a constant source of tension. He masterfully uses the first-person perspective several more times throughout the film, and at times the camera jerkily shifts in different directions, as if someone is quickly pushing a gamepad’s right stick for camera controls.

Cregger’s Resident Evil is a lesson in making a good video game adaptation. You can’t just slavishly recreate things the fans want to see – like the atrocious Super Mario Galaxy or the forgettable Uncharted – but you also shouldn’t completely reject the best elements of the games, like the terrible ’90s Super Mario Bros. film. A small amount of creativity and effort managed to make the Sonic and Minecraft movies watchable. With Nintendo spinning up a Legend of Zelda movie and Hollywood broadly eager to crib from video game source material, I hope more creatives take notes from this reboot.

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