July was a disappointing month for new horror releases — but this one Netflix show saved the day

Well, we can't win them all. Unfortunately my second edition of Scream or Skip is a disappointing one, because on the whole I was underwhelmed by what I watched and played this month.

Scream or Skip

Scream or Skip, that is the question. With so much horror out there to watch and play, our senior entertainment writer, Lucy Buglass, is here to help you decide what's worth your time (or worth a Scream) and what's not (and so worth a Skip). Her goal is to help you beat the endless scrolling and spend more time enjoying some great TV shows, movies, and games. Read the full series here.

But, worry not. The title that stood out to me most this month is widely accessible on Netflix, one of the best streaming services, and it's incredibly good indeed.

I would love to hear your thoughts on either of these titles, especially if you think I'm wrong about the two skips. After all, I would love it if they hit the mark for someone out there, even if they didn't do it for me.

Read on to find out more about what I watched and played in July.

Movie: Her Private Hell

Where to watch: In theaters worldwide
Lucy's verdict: Skip

Look, I'm really gutted about this one. It gives me no pleasure to say that Her Private Hell was a huge let down, and a rare flop for Nicolas Winding Refn. I loved The Neon Demon and Drive, but his latest feature was too abstract and stylish to the point it lacked any real substance.

It's such a shame, because lead star Sophie Thatcher is excellent in everything she does. Here, she plays a young woman trying to find her father as a mysterious mist engulfs a futuristic metropolis, and it's just not good at all. If you'd like to see Thatcher in a different horror, I definitely recommend Heretic instead.

TV show: The East Palace

Where to watch: Netflix (worldwide)
Lucy's verdict: Scream

If you watch one thing on Netflix this week, make it The East Palace. I quickly devoured this eight-part series and now I'm hungry for more, because it's a wonderfully crafted limited series.

The scary K-Drama centers around a man who walks the spirit world and a court lady who can hear the dead, as they enter the East Palace by the king's orders and attempt to unravel its dark secrets. It's got gorgeous cinematography, even more gorgeous period settings, and some great scares throughout. I'm a huge fan of this series and I really hope it finds a bigger fanbase, because it deserves every single one.

Game: The Mound - Omen of Cthulhu

Where to play: PS5, Xbox Series X|S, Xbox One, PC
Lucy's verdict: Skip

No disrespect to the cosmic entity or anything, but I'm tired of Cthulhu themed things. We've had a lot of them recently and usually I'm all for Lovecraftian things, but The Mound - Omen of Cthulhu is a poorly made game which seems to be riding the recent Cthulhu craze.

There's a lot to criticize here. The combat is stiff and janky and I didn't enjoy the solo mode because the AI companions were unreliable. It's clear this game is designed for multiplayer, and I did see moderate improvement when roping friends into playing it with me, but if you're a solo player it's a punishing experience. It also feels repetitive, so I'd discourage you from playing if you don't want to do the same things a million times over.

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This AI SSD tech makes 8 RTX 5090s perform like 46 GPUs in inference

• GenStorAIGE AI90 shifts AI memory beyond traditional GPU HBM limitations using SSDs
• PT200Z SSD supports constant cache updates during demanding inference workloads efficiently
• Eight RTX 5090 GPUs gain dramatically larger effective inference memory capacity

GenStorAIGE has introduced its AI90 inference acceleration platform at WAIC 2026, taking a storage-centric approach to expanding effective AI memory capacity.

Rather than depending solely on GPU high-bandwidth memory, the platform incorporates PCIe Gen5 solid-state drives directly into the memory hierarchy itself.

This allows portions of the Key-Value Cache used by large language models to sit outside GPU memory entirely.

A three-tier memory architecture built around SSD offloading

AI90 combines HBM, system DRAM, and SSD into a unified three-tier memory structure for handling inference workloads.

By transparently offloading KV Cache data onto SSDs, the platform reduces pressure on GPU memory while supporting significantly larger workloads and longer context windows.

According to GenStorAIGE, this architecture cuts first-token latency from several seconds down to sub-second response times in supported configurations.

That represents up to a 50x improvement, alongside throughput gains reaching 5.1x and a roughly 39% reduction in GPU memory usage.

Combined with intelligent peer-to-peer GPU communication, the company states AI90 can accelerate inference by up to 5.8x on systems running eight Nvidia GeForce RTX 5090 cards.

That multiplier effectively allows an eight-card setup to behave closer to a 46-GPU cluster during sustained inference tasks.

The architecture also supports context windows exceeding 128,000 tokens, enabling far larger document processing and conversation handling without exhausting available memory.

The PT200Z SSD handles the intensive write demands behind the system

To support continuous write workloads generated by constant KV Cache updates, GenStorAIGE paired AI90 with its new PT200Z AI SSD.

Built using pSLC NAND flash and connected through a PCIe Gen5 x4 interface, the drive delivers sequential read speeds reaching 14.8 GB/s.

Random read performance hits approximately 3.1 million IOPS, while read latency sits at just 54 microseconds.

Write latency drops even further to 10 microseconds, supporting the rapid cache updates AI90's architecture depends on constantly.

Endurance ratings reach up to 100 drive writes per day, a figure suited for sustained enterprise AI workloads with constantly shifting cache data.

This design reflects a broader shift across AI infrastructure toward memory tiering, as LLMs increasingly outgrow the practical limits of GPU HBM alone.

Integrating extremely fast SSD storage into inference pipelines offers one method for scaling context length without requiring additional GPUs or larger HBM configurations.

Whether the performance claims hold outside controlled testing conditions remains genuinely unverified at this stage.

As with most vendor announcements, these performance figures come directly from GenStorAIGE and still require independent benchmarking across varied real-world AI workloads.

Via The Guru of 3D

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The voice actors behind Anakin Skywalker and the Clone Troopers in The Clone Wars are returning for Star Wars Zero Company

• The Star Wars Zero Company cast has been revealed
• The player character Hawks will be played by Jonathan Freeman (masculine) and Erica Luttrell (feminine)
• The Clone Wars stars Matt Lanter and Dee Bradley Baker will also return to voice Anakin Skywalker and a new Clone Trooper, Trick, respectively

Bit Reactor and Lucasfilm Games have revealed the stacked cast for Star Wars Zero Company, featuring some very familiar, fan-favorite voice actors from The Clone Wars.

Announced ahead of San Diego Comic Con on StarWars.com, it's confirmed that the player character, Hawks, will be played by Goliath actor Jonathan Freeman (masculine) and Erica Luttrell (feminine), who has also starred in another Star Wars game in the past, Squadrons.

"As the leader of Zero Company, an unconventional outfit of professionals for hire from across the galaxy, which includes a Clone Trooper, a Mandalorian, a Jedi Padawan and more, players must hunt down and stop Kundri Fathom (Rekha Sharma), the ruthless leader of the Separatist-aligned cult known as the Infinite Coil," a press release informs us.

In Zero Company, players will meet a collection of characters beyond their team members, and they're all played by some amazing talent.

Some of these characters include Kabb Uppercut, played by Arcane's JB Blanc; Jae Mordant, played by Judy Alice Lee of Marvel Rivals; and Neesh Renark, played by Marvel's Spider-Man 2's Jim Pirri. There's also D.C. Douglas, best known for Mass Effect 2 and Star Wars Jedi: Survivor, who will play M-3VO ('Meevo').

The game will also feature two veteran Star Wars voice cast performers, Matt Lanter and Dee Bradley Baker. Lanter played Anakin Skywalker in the hit animated series The Clone Wars and will reprise this role in Zero Company.

Baker is best known for voicing the Clone Troopers in the show, including Captain Rex and Commander Cody, as well as others in The Bad Batch, but will star in Zero Company as the Clone Trooper, Trick.

You can read the full cast list below:

• Hawks (Masculine): Jonathan Freeman
• Hawks (Feminine): Erica Luttrell
• Kundri Fathom: Rekha Sharma
• Trick: Dee Bradley Baker
• Anakin Skywalker: Matt Lanter
• Runa Blask: Vic Michaelis
• Kabb Uppercut: JB Blanc
• Jae Mordant: Judy Alice Lee
• Cly Kullervo: Alex McKenna
• Bennic Halloren: Leo Howard
• Visser: Dylan Kenin
• Tel-Rea: Nicole Rainteau
• Neesh Renark: Jim Pirri
• M-3VO / Meevo: D.C. Douglas
• Typhon: Hunter Smith

Star Wars Zero Company launches on August 27 for PC, PlayStation 5, Xbox Series X, and Series S.

Bit Reactor has confirmed that the turn-based tactics game will take 30-40 hours to beat, "depending on your difficulty level and experience with the strategy genre," and it won't feature a New Game Plus mode.

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Nvidia reveals deep dive into what makes Vera CPU tick — with the super-powered Olympus core promising huge performance increases and more

• Nvidia's Olympus core architecture prioritizes single-thread IPC over frequency, using a 10-wide decode front end, deep out-of-order mid-core, and a graph prefetcher tuned for agentic AI's branch-heavy, pointer-heavy workloads
• Vera trades chiplet-style core density for a monolithic 88-core die and single-NUMA-per-socket design, a deliberate bet on agentic AI workloads that Nvidia's own engineers admit comes at the expense of legacy workload performance
• Self-reported SPEC CPU 2026 results by Nvidia paint a per-core advantage figure of anywhere between 70% and 80% versus AMD's EPYC 9755 server CPU

Nvidia's Vera CPU has a lot to prove, representing the company's first real attempt at the AI server CPU market, where traditional vendors Intel and AMD, along with third-party Arm-based providers, are all gunning for a piece of an increasingly lucrative data center pie.

To that end, Nvidia has published its most detailed technical account yet of the chip, promising substantial performance gains over the competition. Vera is the company's first server processor built around a fully in-house core design, a departure from the stock Arm cores that powered its Grace predecessor.

As Vera heads toward general availability in the second half of 2026, Nvidia is making its case on a specific front: not raw core count, but sustained per-core performance under load, the metric it argues matters most for agentic AI.

What's actually under the hood of Nvidia's Vera CPU?

At the core of every Vera CPU is Olympus, Nvidia's first custom server core, built to the Armv9.2 instruction set but designed in-house rather than derived from Arm's stock Neoverse designs, as its predecessor, Grace, was.

Nvidia's second-generation data center CPU is a completely reworked design built around a single goal: to lead in agentic workload performance.

Rather than following Intel and AMD down the chiplet route, Nvidia packs all 88 cores (176 threads) onto a single monolithic die, with a dual-socket configuration delivering 176 cores and 352 threads in one system.

Nvidia has detailed the core design extensively, and several publications have since dug into the microarchitecture. The front end runs a 10-wide decode engine paired with a neural branch predictor that can resolve up to two taken branches per cycle, designed to handle the large instruction footprints and irregular control flow of interpreters, compilers, and agent runtimes.

(Image credit: Rude Baguette)

The mid core combines a wide rename-and-allocation engine with a large reorder buffer and dependency-breaking techniques including memory renaming and value prediction.

The execution engine schedules dynamically across integer, vector, floating-point, cryptographic, load, and store resources, while the cache subsystem adds a graph prefetcher targeting the pointer-chasing access patterns that defeat conventional streaming prefetchers.

That design has not gone unanswered. AMD has countered with estimated figures for its 256-core Zen 6 "Venice" part, claiming a 3.3x rack-level advantage over Vera, though those numbers are extrapolated rather than measured.

AMD responding first isn't surprising. Within x86, it continues taking ground from Intel, reaching 33.2% of x86 server CPU shipments in Q1 2026 per Mercury Research, up from 27.2% a year prior.

With Arm reporting that its architecture now accounts for roughly 50% of CPU compute among top hyperscalers, competition is building from several directions at once. Vera may well set a new bar for agentic AI.

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Amazfit Cheetah 2 Pro data reveals how Josh Kerr just shattered the 27-year-old mile world record —and his split stats explain the historic run

• Athlete Josh Kerr just broke the world record mile time
• He did so while wearing an Amazfit Cheetah 2 Pro smartwatch
• Amazfit has published data from the record-breaking run

What does it take to run a mile in a world record time? After Scottish athlete Josh Kerr’s recent world record-shattering 3:42.66 achievement, Amazfit has published a wealth of data straight from the track — and there are some fascinating insights to be found within.

Perhaps the most impressive data point to emerge from Kerr’s race, logged on a Cheetah 2 Pro, is the remarkable consistency in his split times. His four laps clocked in at 55.3, 55.8, 55.4 and 54.9 seconds, with just 0.9 seconds separating the fastest lap from the slowest. His quickest lap, in fact, was the last one, helping to push him over the line and claim the world record, which had previously stood for 27 years.

Even more striking were Kerr’s 200-meter times, which ranged from 24.7 to 24.9 seconds — a difference of just 0.5 seconds from first to last. With an average speed of 26km/h, he was comfortably quicker than the 24.1km/h required to hit a four-minute mile.

Kerr averaged 194 steps per minute during the race, with his heart rate hitting a maximum of 188 beats per minute around 400 meters in. In both cases, the measurements rose sharply early in the run, settled in the middle, then jumped again as Kerr pushed for a fast finish.

Project 222

(Image credit: Future / Paul Hatton)

The info comes from the Amazfit Cheetah 2 Pro that Kerr wore during his winning race.

We were impressed with this device when we reviewed it, commending its accurate features and “outstanding battery,” both of which help make it one of the best running watches money can buy. And if it’s good enough for world record holders like Kerr, it could be worth a place on your wrist, too.

The previous one-mile record — set by Hicham El Guerrouj and standing at 3:43.13 — had stood for 27 years before Kerr broke it, making him the first person to ever log a mile in under three minutes and 43 seconds.

(Image credit: Amazfit)

Amazfit has been sponsoring Kerr as part of his Project 222, which is a bid to run a mile in 222 seconds, or three minutes and 42 seconds. Kerr’s record time is just 0.66 seconds off that target, showing how close he was to his goal.

How long will it be before he speeds past that time? No one can know, but you’d be brave to bet against him doing it, and Amazfit will be hoping he's wearing one its running watches again when that happens.

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We tested Creality's 3D printers — and these 4 Amazon deals are actually worth buying

Quick choice guide

• Creality Ender 3 V3 SE ($187): Best for beginners
• Creality K1C ($399): Budget enclosed pick
• Creality K2 Pro ($649): Top mid-range
• Creality K2 Plus Combo ($1199): For large prints

We've had some great experiences testing out Creality's range of 3D printers - from beginner-friendly units to machines for large-scale printing projects. So, I was excited to see that plenty of them have been discounted over at Amazon right now. Based on our workshop testing, I've selected the four that are absolutely worth checking out.

For beginners, check out the Creality Ender 3 V3 SE for $187 (was $219). If you're a hobbyist on a budget, the excellent Creality K1C has dropped to $399 (was $499).

For an exceptional mid-range pick, the Creality K2 Pro is now $649 (was $849). And finally, the Creality K2 Plus Combo for $1199 (was $1529) is an easy recommendation for larger 3D printing.

Which 3D printer should you buy?

✅ Choose the Creality Ender 3 V3 SE if...
You want a beginner-friendly 3D printer under $200. This is one of the most affordable, reliable, and easy-to-use machines that's ever undergone our workshop tests.

✅ Choose the Creality K1C if...
You're looking to upgrade from a basic 3D printer without spending more than $400. It's our 3D printing expert's favorite 3D printer, and can handle more materials.

✅ Choose the Creality K2 Pro if...
You're a hobbyist looking for a mid-range all-rounder that hits the sweet spot in terms of speed and accuracy for serious everyday projects.

✅ Choose the Creality K2 Plus if...
You need a large build area for ambitious printing projects like crafting and cosplay accessories.

Creality Ender 3 V3 SE

Still one of the best 3D printers for beginners - especially at this price. We awarded the Creality Ender 3 V3 SE an impressive 4.5 stars after tests, and it stands out to many cheaper units due to the high print quality.View Deal

Why we recommend it

We scored the Creality Ender 3 V3 SE 4.5 stars in our review, with a Highly Recommended award - it's a great 3D printer for beginners at a price that's very accessible. It's almost as cheap as it was over Black Friday, where it sold for $174.

The catch? With its open-frame design, it's not as fast as others and it lacks features like a built-in camera and touchscreen.

Creality K1C

In our tests, we praised the Creality K1C's "all-star specification that will appeal to all levels of users, from education to business to dedicated 3D printing enthusiasts." Amazing budget all-rounder here. View Deal

Why we recommend it

The Creality K1C is our 3D printing expert's favorite machine - it's not an ultra high-end unit, but during our tests it performed brilliantly for a relatively budget machine, suitable for just about everyone. The cheapest I've seen this on Amazon is $369, so while not the lowest ever price, it's still a good deal for what you get here.

The catch? It's not the most accurate 3D printer in this price bracket, but it still beats most rivals if you want the complete package.

Creality K2 Pro

We called Creality's K2 Pro "an exceptional machine capable of producing some of the best 3D prints of any machine in this price bracket." A solid mid-range pick for a range of printing projects. View Deal

Why we recommend it

An unofficial upgrade on the K1C, we called the Creality K2 Pro "an exceptionally good 3D printer" capable of producing some of the best prints in its price bracket in our review, where it scored 4.5 stars and a Highly Recommended award. This is an all-time low price on Amazon, making it unmissable.

The catch? While it supports multi-color 3D printing, it was slow during our workshop testing.

Creality K2 Plus

We called the K2 Plus "an outstanding machine" in our review. It features a large 350mm build volume, 16-color support, dual AI cameras, and an actively heated chamber. The rigid die-cast frame make it ideal for ambitious printing projects.View Deal

Why we recommend it

With a build volume of 350 x 350 x 350mm, the Creality K2 Plus is the one to go for if you want to print larger pieces - in our 4.5-star review, we praised the build quality, features, versatile material support that "ultimately produces outstanding prints." This isn't the cheapest I've seen it on sale, as back in June it hit $1099 - so you might want to wait to save a little more.

The catch? Due to the build volume, this 3D printer has a large footprint that won't be suitable for a lot of spaces.

For more top-performing machines, see our guide to the best 3D printers we've tested.

Best Creality deals in your region

Not in the US? These are the best prices where you are.

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US Navy plans for 'Air Wing of the Future' with next-generation, pilotless carrier-based 1,150-mile-range drones to fly alongside manned aircraft

• Pentagon eyes swarms of cheap drones over a handful of expensive fighter jets
• Carrier decks may soon be crowded with robots doing eight different combat jobs
• US Navy next fighter wing could fly itself from takeoff to target and back

The US Navy has issued a Request for Information (RFI) seeking a new family of carrier-based drones which would operate alongside manned aircraft while supporting missions across the full range of naval combat operations.

The service wants these systems to fly from Ford-class and Nimitz-class nuclear carriers, while some designs could operate from smaller vessels.

Its requirements seeking industry proposals for platforms capable of eight missions, including attacks against ships and land targets, anti-submarine warfare, air combat, electronic warfare, intelligence, surveillance and reconnaissance.

Navy seeks autonomous aircraft for eight missions

The aircraft would also support aerial refuelling and resupply missions for naval task forces, creating a broad set of requirements for a single aircraft or connected family of systems.

Strike variants must have a minimum range of 1,000 nautical miles, equivalent to roughly 1,150 miles.

The service also wants advanced autonomy for carrier operations, mission changes and threat avoidance during flight.

Proposed systems must support automated aerial refuelling and remain compatible with existing unmanned aircraft control systems.

The Navy is seeking “affordable mass, risk-tolerant platforms” capable of addressing current and emerging threats, which points toward affordable aircraft designed to be produced in larger numbers than traditional high-cost combat jets.

Future carrier wings could rely on scalable drone fleets

The RFI asks companies to explain how their production methods could expand rapidly during a surge while keeping recurring flight and sustainment costs within sustainable limits.

Manufacturers must also describe ways to reduce maintenance demands and use existing naval supply networks.

The Navy is also open to aircraft that can operate from platforms beyond its largest carriers - vertical-takeoff and landing UAVs could fly from destroyers, expeditionary sea bases and other vessels with suitable aviation facilities.

“The Navy is interested in novel concepts that can operate from any air-capable platform,” the RFI states, including destroyers and mobile sea bases.

This could give naval commanders more options for deploying autonomous aircraft across different maritime environments.

The Air Wing of the Future Family of Systems forms part of the Trump administration’s Golden Fleet expansion plan.

Existing related programmes include the MQ-25A Stingray tanker and Collaborative Combat Aircraft initiative.

The RFI also asks companies to explain planned capital investments and internal research commitments needed to mature their designs.

The Navy’s requirements suggest that future carrier aviation could combine advanced manned aircraft with larger fleets of autonomous systems designed for scale and operational risk tolerance.

Via Defense News

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Forget traditional shipbuilding: Saronic’s new $3.2 billion 'Port Alpha' autonomous navy drone shipyard will be bigger than every 2026 World Cup stadium combined

• Saronic's Port Alpha facility could expand from 835 acres to nearly 4,400 acres
• The shipyard could eventually build vessels exceeding 1,200 feet long
• Saronic expects Port Alpha to create up to 10,000 direct jobs

Saronic has selected Brownsville, Texas, for 'Port Alpha', a planned shipyard designed to produce autonomous vessels at unprecedented industrial scale.

The project is expected to attract more than $3 billion in private investment and begin construction during 2026.

When operational in 2028, the facility will combine shipbuilding, advanced manufacturing, robotics and software development across an 835-acre site.

Port Alpha aims to rebuild American shipbuilding capacity

The site could eventually expand to nearly 4,400 acres, giving Saronic space to develop one of the largest shipbuilding facilities in the United States.

Its initial production facilities will support vessels up to 850 feet long, while later expansion could accommodate ships exceeding 1,200 feet.

The Brownsville location includes waterfront access, a deep-water channel and multimodal transport links needed for large-scale maritime manufacturing.

Saronic selected the site after a year-long search that assessed workforce availability, infrastructure, logistics and future expansion opportunities.

The company expects Port Alpha to create up to 10,000 direct jobs over the next decade, covering welding, machining, robotics, software engineering and naval architecture.

Governor Greg Abbott said the project could generate approximately $750 million in annual wages once the workforce reaches its projected scale.

“America’s maritime future depends on our ability to build again,” said Saronic co-founder and CEO Dino Mavrookas. “Port Alpha is our commitment to that mission.”

Saronic plans to work with technical colleges, universities and local institutions to develop apprenticeships and training programmes supporting the facility’s workforce.

The company says the project could generate more than $160 billion in regional economic impact for Cameron County and $264.5 billion across Texas.

Autonomous vessels will drive the shipyard’s production model

Port Alpha will not operate as a conventional shipyard focused solely on constructing traditional crewed vessels for established naval fleets.

Saronic intends to combine software-defined manufacturing with autonomous maritime systems and large-scale production methods.

The company already operates a growing shipbuilding network, including a Franklin, Louisiana, facility acquired in early 2025.

Saronic is investing $300 million there to add 300,000 square feet of production capacity for its 180-foot Marauder autonomous vessel.

The company is known for autonomous vessels including Corsair and Mirage, while Marauder is competing in the medium unmanned surface vessel programme.

These systems form part of a broader effort to expand autonomous maritime operations across different mission types.

Saronic says Port Alpha will support production at a scale and speed not seen in American shipbuilding since World War II.

The company has not yet disclosed detailed production numbers, vessel schedules, or the exact mix of autonomous platforms planned for the facility.

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The 8-Hour challenge: SK On says solid-state robot batteries must justify a 4x manufacturing cost jump to replace 'inferior' lithium-ion

• SK On says solid-state cells can give industrial robots the 8+ hour runtime of a human shift, but adoption might be another story
• While upcoming solid-state batteries boost productivity through longer operating times and lower overall operating costs, they are prohibitively more expensive than some of their lithium-ion peers
• Modern Li-on-based batteries are under 2% of a robot's manufacturing cost today, and solid-state would push that share to around 8%, a premium that could come with serious tradeoffs for manufacturers

Modern robotics is a field that continues to grow over time, fueled by a mix of smarter AI, manufacturing efficiencies and at times, better materials that change what is possible on the ground.

The robots currently in use in factories and warehouses however have a key limitation that has yet to be addressed properly: Lithium-ion batteries often can not keep up with the power demand that modern robots have.

This is particularly reflected in how often they require a battery swap or a recharge: most lithium-ion-powered robots typically operate for one to two hours on a charge, a far cry from the industry's ambitions of machines that can work a full eight-hour shift.

A costly solution to a robot's current battery limits

Speaking at the 2nd Battery Foundry Forum in Seoul on July 15 2026, Ko Young-seok, the executive vice president and head of product planning at the Korean battery maker SK On, argued that solid-state cells can deliver meaningful value for industrial robots that need extended runtime.

He also explained that whether manufacturers actually adopt them will come down to total cost of ownership (TCO), weighed against two cheaper rival approaches: battery swapping and ultra-fast charging.

The TCO framing implies that solid-state batteries, the battery industry's most hyped next-generation technology and inherently expensive to boot, might attract industrial buyers simply because the math works in their favor relative to conventional Li-ion setups.

This is because one must factor in the cost of keeping spare battery packs, charging and/or swap times, and potentially additional robots to cover the resulting downtime, which could leave solid-state with a lower TCO than the competition despite the higher sticker price.

The framing may also be unavoidable given how batteries sit in a robot's bill of materials today. A Li-ion battery accounts for under 2% of the total cost of an industrial robot, according to SK On, essentially a rounding error in the grand scheme of things, but switching to a solid-state battery could push that share to around 8%, a significant jump in overall costs.

For context, a widely circulated teardown of Tesla's Optimus Gen 2 puts the battery pack at about $300 in a roughly $55,000 hardware cost structure, around 0.5% of the bill of materials, comfortably under 2%, though units with larger packs or lower overall costs would land higher, and some independent estimates, including McKinsey's, put battery modules at 5–10% of a humanoid's bill of materials.

Solid-state cells, with their higher energy density, are one of the most promising routes to a robot that works a human shift without stopping, but given their comparatively steep cost versus the competition, one can understand why SK On is aiming this pitch at the robotics and industrial players that need the technology and can afford to pay for it.

For applications with short duty cycles, swapping a cheap lithium-ion pack or fast-charging between tasks may simply remain the better economic answer, but for customers willing and able to pay for more sustained power, solid-state seems to be the new play, even as it remains elusive for commercial EVs given its cost.

SK On has skin in this game on a specific timeline. The company completed its all-solid-state pilot plant at its Future Technology Institute in Daejeon last September, built in partnership with US solid-electrolyte firm Solid Power.

It is developing two chemistries: a polymer-oxide composite cell targeted for commercialization in 2028 and a sulfide-based cell in 2029, a timeline it has already accelerated by a year. But it has competition waiting in the wings: rival Samsung SDI, working with the same American partner, is aiming for 2027.

Whether this leads to widespread adoption of tech expected to appear only in the most expensive EVs on the market this decade remains to be seen, but the TCO argument Ko makes might stick more easily with industrial customers than with consumer EV buyers, for whom pricing and budgets are key factors.

Via The ELEC

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Trump’s head of AI safety agency just resigned, but he was only on the job for three months

• Chris Fall, the head of CAISI, has resigned
• Fall only took up the job three months ago in April 2026
• The departure is likely to once again shake up the administration's AI strategy

The head of the Trump administration’s Center for AI Standards and Innovation (CAISI) has resigned from his role, Axios has reported.

Chris Fall served in the role for just three months following his appointment in April 2026, and no reason has so far been given for his departure from the agency.

Arvind Raman, the current head of the Commerce Department office that oversees the AI testing institute is set to temporarily take up the mantle as head of CAISI until a permanent alternative is found.

Another Trump admin departure

Fall’s departure is just one in a string of Trump administration departures so far in 2026. Before resigning, Fall was responsible for working closely with leading US AI labs such as Anthropic, Google's ​DeepMind, OpenAI, ​Microsoft and Elon Musk's xAI to test their frontier and unreleased models for vulnerabilities to prevent them from being maliciously abused.

Trump has placed a big focus on developing AI, with the technology now a key part of both the US economy and its security, with AI models being deployed across federal agencies, police, and the armed forces.

Despite interventions by the US, China has been rapidly closing the gap between its own models and those of US companies. Many Chinese models are cheaper than their US alternatives, making them attractive to US companies feeling the token-cost of US models.

The resignation will likely once again shake up the Trump administration’s AI strategy. The administration has taken a very hands on approach to AI technologies, requiring contractors to provide unrestricted access to their systems and allow the use of their technologies for any lawful purpose. When Anthropic rejected these demands, the company was designated a supply chain risk.

Trump has also called on AI companies to provide stakes in their companies in what Trump has said will “create almost a partnership with the American public”. Trump hasn’t revealed exactly how this partnership would benefit the American public.

On the other hand, Senator Bernie Sanders has proposed an AI sovereign wealth fund that would see 50% of AI company stock placed in a fund that would be used to build infrastructure and fund projects aimed at improving the lives of Americans.

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University engineers have figured out how to build an 'invisible' drone — here's the science behind it

• Prototype drone spins its entire body up to 25 times per second to blur itself into near-invisibility
• Phantom Twist's single motor spins the whole airframe in one direction and its propeller in the other
• AI design pipeline tested 20,000 possible layouts to find the optimal configuration

Drones have a visibility problem. Whether they're filming guests at a wedding or hunting for candid shots of nesting birds, the moment a drone is noticed, it can change the behavior of whatever it's observing — wildlife scatters, people act differently, and you end up with iffy results.

A team of engineers at Illinois' Northwestern University may have found a way around that, and it has nothing to do with camouflage. Their prototype drone, dubbed "Phantom Twist," doesn't try to look like its surroundings. Instead, it spins itself into a blur so fast that the human eye simply can't keep up.

The drone rotates up to 25 times per second — well beyond what the eye can resolve into a distinct shape. The drone doesn't disappear outright, but becomes what the researchers describe as a faint, semi-transparent smudge that blends into the sky or landscape behind it. It's not invisibility in the sci-fi sense, but according to the team it's about ten times harder to spot than a conventional quadcopter.

You spin me right round

The trick lies in the design itself. A typical quadcopter has four rotors spinning while its main body stays completely still, which is exactly why you can still pick it out against the sky — the frame doesn't move, so your eye locks onto it. Phantom Twist ditches that setup entirely. It runs on a single motor and single propeller, with the propeller spinning one way and the rest of the drone's body spinning the opposite way. There's no stationary part left for your eye to latch onto.

Building something that flies stably while spinning that fast isn't a simple engineering job, though, so the team leaned on AI to do the heavy lifting. The process started with around 20,000 computer-generated drone layouts, each one checked for steady flight. From there, optimization algorithms repeatedly shuffled the position of the drone's key components — motor, propeller, circuit board, battery and counterweights — so they'd never overlap visually as the whole thing spun.

Every candidate design was then simulated spinning against 100 real-world photo backgrounds and scored using a model built to approximate human vision, with the 500 lowest-scoring designs pushed through further rounds of optimization before the final version was built.

The result spreads its components out at different heights and angles, so when it's in motion, everything blurs into a soft haze. It's clever stuff, and a reminder of how much of what we "see" comes down to how our eyes process motion over time rather than snapping a perfect still image.

Now you see me: the Phantom Twist in all its ghostly glory (Image credit: Michael Rubenstein/Northwestern University)

It's worth being clear about what Phantom Twist is and isn't, though. This is a university research prototype, not a product with a release date or price tag, and it's still some way from ready for real-world deployment.

The propeller is audible even if the body isn't very visible. There's also no camera or imaging payload on the current build, which raises an obvious question for its stated wildlife-monitoring and infrastructure-inspection ambitions. It feels like a drone spinning 25 times a second would need some serious image stabilization or de-rotation trickery before it could shoot anything usable. The team hasn't detailed how (or whether) they plan to solve that yet.

There's an inevitable privacy angle to any drone that's harder to see, too, and it's not hard to imagine less charitable uses for the same principle down the line. For now, though, this remains a lab experiment funded by the National Science Foundation, aimed squarely at reducing wildlife disturbance rather than sneaking up on anyone — and there's no indication the spinning-body approach is heading toward consumer hardware anytime soon.

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