News

The Chuwi UniBook is a 14-inch Windows laptop built around Intel's newly launched Core 3 304 processor, part of the Wildcat Lake family and the first Series 3 chip to appear in a laptop at this price. It weighs a claimed 1.2 kg, comes housed in an anodised aluminium chassis, and pairs a 16:10 IPS display with 8GB of memory and a 256GB SSD.

Positioning this model directly against Apple's MacBook Neo, undercutting it by around $250 while offering a larger screen, the same memory and storage as the base Neo configuration, and a far wider set of ports. Early benchmarks of the Core 3 304 from other devices suggest genuinely strong single-core performance for a chip this cheap, which makes the UniBook one of the more interesting budget launches of the year on paper.

The critical caveat is that macOS runs reasonably well with 8GB of RAM and 256GB of storage, where Windows 11 is a singularly less spectacular experience.

While you can upgrade the storage to any Gen 3 or 4 NVMe 2280 drive, the amount of RAM isn’t able to be expanded.

Price is therefore the trade-off, which means the UniBook isn’t ideal for substantial tasks, even if it's acceptable for light work. One side benefit of not being especially powerful is that the battery will last easily more than a working day, and it might even stretch to two.

From a value perspective, the Chuwi UniBook looks like an excellent deal, but the specification precludes it from being one of the best business laptops.

• How much does it cost? From $450
• When is it out? Available now
• Where can you get it? Direct from Chuwiretailers

Chuwi initially opened pre-orders for the UniBook at $449 US dollars, positioning it as the cheapest laptop yet built around Intel's Wildcat Lake platform. At the time of writing, using the Global Chuwi store, it's priced at $449 for US customers, £335 for the UK and €449 for Europeans.

Given that this is a fully functional laptop with RAM and storage, and new processor technology, that price seems remarkably good.

However, there is only a single SKU that offers one processor, the Intel Core 3 304, 8GB of RAM (not upgradable) and only 256GB of storage.

I’m only aware of two other laptop makers with products built around this platform. They would be HP with the OmniBook 3 AI 14" Laptop and Lenovo’s ThinkPad E16 Gen 4.

The HP is available in the UK through Currys for £799, for a model with 8GB of RAM and 512GB of storage.

The version of the ThinkPad E16 Gen 4 that uses the Intel Core 3 304 costs £954.60 in the UK direct from Lenovo, but does come with 16GB of RAM and Wi-Fi 6E. At the time of writing, both these models have yet to be launched in the US.

The UK pricing we have strongly hints that Chuwi's pricing is remarkably competitive, and I wouldn’t be surprised if it were raised in the coming months.

It will be interesting to see how other brands price hardware based on this platform.

For those wondering, Apple's MacBook Neo sells for £699 in the UK and $699 in the USA, for a machine with 8GB of RAM and 256GB of storage, without a charger.

• Value: 4.5 / 5

Laptop:

Chuwi UniBook

CPU:

Intel Core 3 Processor 304, Series 3 Wildcat Lake (5 Cores, 5 Threads, up to 4.3 GHz, Intel 18A process)

GPU:

Intel Graphics, Xe3 architecture, up to 2.3 GHz, 9 TOPS

NPU:

Intel NPU 5, 15 TOPS

RAM:

8GB LPDDR5, 6400 MT/s not upgradable

Storage:

256GB PCIe 3.0 SSD, single M.2 2280 slot rated up to PCIe 4.0 x4

Screen:

14.0-inch IPS, 1920 x 1200 (16:10)

Ports:

2x USB C (5 Gbps, PD, 4K@60Hz video), 2x USB A 3.2 Gen 1, 1x USB A 2.0, 1x HDMI 1.4b (4K@30Hz), 1x Gigabit Ethernet, 1x TF card slot, 1x 3.5mm audio

Camera:

720p webcam with physical privacy shutter

Networking:

Wi-Fi 6, Bluetooth 5.2

Dimensions:

314.5 x 221 x 16.4 mm

Weight:

1240g

OS:

Windows 11 Pro, pre-installed

Battery:

53.38Wh Lithium Polymer

Power supply:

65W USB-C PD charger

• Anodised aluminium alloy chassis
• Lightweight and thin
• Lots of ports

The chassis on the UniBook is made from anodised aluminium alloy, and Chuwi quotes a weight of approximately 1.2 kg and a thickness of 16.4 mm. Those figures put the UniBook among the lighter 14-inch Windows laptops at this price, assuming they hold up on a scale. The hinge opens to 180 degrees, and the marketing page states an 88% screen-to-body ratio thanks to narrow bezels around the 16:10 panel.

The specification lists two full-function USB-C ports, two USB-A 3.2 ports, one USB-A 2.0 port, HDMI, Gigabit Ethernet, a TF card slot, and a 3.5mm jack, which, on paper, is a generous selection for a budget machine. What’s odd, when I think about it, is that more expensive laptops tend to have fewer ports, forcing the owners to consider using docking stations to add those connections.

The inclusion of a LAN port is a definite advantage, especially in that awkward new Windows PC phase where Microsoft attempts to download all of human knowledge in the full knowledge that it needs almost none of it.

The USB-C and two USB-A ports are only 5Gbs, which is slightly disappointing not to have one that is 10Gbps, but there is HDMI out and a MicroSD card reader.

The keyboard is full-size and has two-level backlighting. It’s not ideal for creating dissertations, but for small input jobs it’s fine. The provided review hardware was a US layout, which I assume is the one most buyers will get.

Since I know how the UK layout maps to the US one, this wasn’t a huge problem for me, except that this keyboard annoyingly doesn’t have a PrtScn key. That made screen capture slightly more convoluted.

As trackpads go, this one is on the smaller side, measuring approximately 120 mm by 70 mm, and it uses the flexible-click methodology.

Overall, considering the low cost of this device, its construction is much better than I’d anticipated. The use of metal skins and a simple but effective style works well. What it lacks is a fingerprint sensor or a Windows Hello camera. But with so many USB ports, it could easily use a security fob if you want to add extra protection.

However, given the specifications and price, I see this device being more oriented towards education than business, and I have some thoughts on its suitability for that in the next section.

• Design: 4 / 5

• Wildcat Lake Intel Core 3 304
• NPU and GPU short of Copilot Plus certification
• 8GB of RAM can’t be upgraded

Wildcat Lake is Intel's answer to a question that has irked it for years. How do you bring modern chip design to the cheapest laptops without pricing them out of the market they serve? The family was announced quietly at CES 2026 alongside the much bigger Panther Lake launch, and its job is to replace the ageing Alder Lake N and Twin Lake chips that have powered budget laptops, mini PCs and Chromebooks since 2023.

Where those older chips relied on Gracemont efficiency cores alone, Wildcat Lake borrows directly from Panther Lake's playbook. It pairs Cougar Cove performance cores with Darkmont low-power efficiency cores, adds Xe3 graphics and an NPU 5 neural engine, and builds the whole thing on Intel's 18A process.

In effect, Intel has taken its flagship architecture and squeezed a scaled-down version of it into a chip built for machines costing a few hundred dollars rather than a few thousand.

Well, that’s the promise, and on paper it sounds perfect for the budget consumer. Modern architecture at 18A should bring a genuine efficiency jump over the older Intel 7 process used by the N-series chips, and early single-core benchmarks on Wildcat Lake devices back that up, with some results landing close to flagship phone silicon. For a family aimed squarely at browsing, office work and video calls, single-core strength matters more than raw multi-core muscle ever would.

However, in the time-honoured Intel tradition of grasping potential defeat from the jaws of victory, this series has become more about what Intel chose to cut.

Wildcat Lake uses a simpler organic substrate and flip chip packaging rather than the advanced packaging found on Panther Lake, which keeps costs down but limits how far the platform can scale. Core counts are modest across the board, topping out at six, and GPU configurations are similarly trimmed.

None of that is a flaw exactly, since this was never meant to compete with premium silicon, but it does mean the ceiling was made low by design.

The Core 3 304 sits right at the bottom of that stack. It carries five cores across five threads, just one Cougar Cove performance core paired with four Darkmont low-power efficiency cores, and turbo clocks reaching 4.3GHz. That single performance core is notably light even by Wildcat Lake standards, since every other chip in the family carries two. Graphics come from a single Xe3 core rated at 9 TOPS, alongside an NPU rated at 15 TOPS.

What it lacks is just as telling. There is no second performance core to lean on for heavier multitasking, no multi-core Xe3 graphics block, and no ray tracing.

Combined NPU and GPU output falls well short of Microsoft's 40 TOPS Copilot Plus threshold. The dedicated NPU is rated at 15 TOPS Int8. Combined with the GPU's 9 TOPS, that gives a platform total of 24 TOPS. Microsoft's Copilot Plus certification requires 40 TOPS from the NPU alone, so despite Chuwi's AI Laptop branding, the UniBook does not qualify and will not run Copilot Plus-specific features.

Memory is 8GB of LPDDR5 running at 6400 MT/s, a healthy speed for this class of chip even if the capacity is modest. Is it enough for Windows 11?

The fact is that when you fire up the machine with the default installation, 6.3 GB of RAM has already been eaten before the first app is launched. Launch a browser and open 10 webpages; the system starts paging, and things get jerky from that point onwards. Where it really struggles is multitasking, since there is only a single performance core, alongside the four efficiency cores.

There may be ways to reduce Windows 11's memory usage, and you’ll need to use them all if you intend to run multiple apps and not find yourself waiting on this system. In times long gone, you would open the laptop, find the 8GB SODIMM, and replace it with a larger one, but that’s not possible with this design.

The very week I wrote this review, Microsoft threw a few of its disposable developers at members of the press to talk about changes they intend to make Windows 11 work better with less memory. Technically, the minimum memory requirement is 4GB, but Microsoft have focused apparently on improving the 8GB experience. While these updates are not yet launched, and when they will be is unclear, these are clearly driven by the catastrophic price hikes in RAM cost.

I need to point out that Windows 11 launched in 2021; therefore, for five years, Microsoft sat on its overly profit-padded backside, ignoring users who complained that their operating system wasn’t an efficient user of memory.

But a few PC makers whine that they need to reduce the RAM complement to 8GB from 16GB on some of their lines, and those in Redmond leap into action? The poor optics of these announcements won’t surprise many.

It’s also interesting to note that this machine was built to compete with Apple's MacBook Neo, and that comes with the same 8GB+256GB entry-level profile, but nobody is complaining that it doesn’t work smoothly with macOS.

This would be less of an issue for laptops in general if the makers all hadn’t chosen to make memory non-upgradable. A choice they made, not the people buying them.

The only upgrades available here are the M.2 Wi-Fi adapter and storage, and getting to them is relatively easy if you remove the 11 screws that hold the underside in place.

If anyone is reading this and has this system, just be aware that 8 of the screws are short and three are long, and getting them mixed up could have dire consequences when you reassemble the system.

There is only one M.2 2280 for storage, so you will need a USB caddy to do a drive cloning, and there isn’t room for a drive with a heatsink inside.

One major disappointment I noticed is that the pre-installed drive is only PCIe 3.0 x4, where the slot is rated for PCIe 4.0 x4. And, as the drive is only 256GB, finding a 500GB or 1TB replacement drive that’s PCIe 4.0 would be a good upgrade.

Overall, this system is cut to the bone in some critical areas, specifically RAM, making it less than ideal for those who like to load multiple apps and multitask between them.

It needed those Microsoft efficiency upgrades yesterday, or it's likely to be a contributing factor in the switch to Linux for those owning this hardware.

• Hardware: 3.5 / 5

Laptops

Chuwi UniBook

Chuwi CoreBook X 7430U

CPU

Intel Core 3 304

AMD Ryzen 5 7430U

Cores/Threads

5C 6T

6C 12T

TPD

15W

15W

RAM

8GB LPDDR5

16GB DDR4 (1x 16GB)

SSD

HOGE H750L 256GB

512GB Wodposit WPBSNM8

Graphics

Intel UHD Graphics (Gen 12.2)

AMD Radeon Graphics

NPU

Intel NPU (15 TOPS)

N/A

3DMark

WildLife

5,198

4,581

FireStrike

1796

2085

TimeSpy

830

836

Steel Nomad.L

590

716

CineBench24

Single

N/A

63

Multi

N/A

254

Ratio

N/A

4.05

GeekBench 6

Single

1962

1442

Multi

5338

4848

OpenCL

6006

11015

Vulkan

7304

10122

CrystalDIsk

Read MB/s

2315

3588

Write MB/s

2087

1852

PCMark 10

Office

4351

4676

Battery

20h 26m

9h 30m

Battery

Whr

55.38

46.2

PSU

65W

65W

WEI

Score

8.1

6.6

It was difficult for me to find laptops I’ve reviewed that would make a suitable comparison, since most of them use much more powerful chips than the one in the UniBook.

In the end, I found that the results for the Chuwi CoreBook X 7430U are reasonably comparable, especially with respect to GPU performance. However, one massive advantage that the CoreBook X 7430U had was 16GB of RAM, even if it was DDR4. That allows it to share more with the GPU, which is why the scores for that hardware improve as the graphics challenges increase.

One unexpected casualty of the 8GB memory capacity was the CineBench24 benchmark, which failed to run due to the amount of RAM allocated to the Intel UHD Graphics (Gen 12.2) GPU.

Another disappointing result is the NVMe drive's speed. But this is exactly what happens when you use a cheap Gen 3 drive in a Gen 4 slot. The battery performance is thankfully a more positive story.

Chuwi's own promotional material quotes up to 13 hours of 1080p video playback from the 53.38Wh battery, tested at 50% brightness and volume with Wi-Fi on, Bluetooth off, and Best Efficiency Mode engaged.

However, you can use this machine with the screen much less bright, and in my testing, it lasted over 20 hours at full capacity on its 55.38Wh battery. Easily the best result of these tests.

That’s a couple of busy days at least, or one dawn-till-dusk exercise. That capacity can be replaced on the provided 65W charger in a little over 2 hours, enabling a quarter of the capacity to be recovered in just 30 minutes.

The screen performance levels that Chuwi quotes are 100% sRGB and 300-nit peak brightness. While the 300nit value is reasonably accurate, the colour gamut of the screen on the supplied UniBook sample came nowhere near 100% sRGB. It managed just 63% of sRGB, 43% of AdobeRGB and 34% of Rec2020.

Gamut is certainly a weakness, but contrast, uniformity (brightness and colour) and tone response are all decent. My conclusion was that this isn’t a bad screen, unless you are specifically looking for colour accuracy.

Those looking for a performance laptop won’t be interested in this hardware, which is nailed down by a processor with only five cores and only 8GB of RAM running on a PCIe 3.0 SSD.

When using this system, keep your expectations low, and keep the number of web pages open small.

I was almost tempted to put a PCIe 4.0 SSD drive in the review unit, and put a modern Linux distro on it to see how much better the experience might be, but time was against me.

In short, this system is cheap for a reason, and even with Intel’s new silicon, the performance is undermined on numerous other fronts.

• Performance: 3 / 5

UniBook is a genuinely interesting proposition on paper. It is the first widely available laptop built around Intel's new Wildcat Lake platform; it undercuts Apple's MacBook Neo on price while offering more ports and a bigger screen, and early third-party benchmarks of the Core 3 304 hinted at unusually strong single-core performance for the money.

However, a Windows 11 system with 8GB of RAM that can’t be upgraded and a storage drive that undersells the socket it sits in combine to undermine what could be a much more useful system than it ultimately is. The overselling of its AI capability doesn’t help either.

What is good about this system is the excellent battery life and the wide number of ports, even if the best it can offer is USB 3.2 Gen 1.

None of that rules the UniBook out. It simply means the value case pivots on the purchaser's use case, and it needs to be modest. For that reason, I wouldn’t recommend this to a student, as they’ll discover its limitations on the first day of use.

Value

Competitively priced for the specification

4.5/5

Design

Lightweight chassis with plenty of ports

4/5

Hardware

New Intel Wildcat Lake platform but only 8GB of RAM

3.5/5

Performance

Only suitable for light tasks due to Windows 11

3/5

Overall

Inexpensive hardware suitable only for light tasks

4/5

You need a low cost Windows 11 machine
The best aspect of the UniBook is its price; considering the build quality and screen size, it looks like a bargain. However, there is no ‘free lunch’ with this machine, and it does have some limitations that mean it's only useful for light tasks.

You expect all-day battery life
In a continuous test, the UniBook lasted over twenty hours, and that’s with the screen brightness turned down somewhat. Even the makers quote more than thirteen hours of continuous video playback, making it suitable for a long journey.

You need multiple apps open
With only 8GB of RAM, most of which Windows 11 has already earmarked, running multiple apps or those with high demands isn’t practical on this hardware.

You use external SSDs
The lack of a Gen 2 USB port means the fastest file transfers from the Chuwi UniBook can achieve are capped at 500mb/s. Using 1,000mb/s rated external SSDs or even faster options won’t operate to their full potential.

As AI develops into the latter half of the 2020s, scientists have repeatedly warned of the dangers that may arise from its widespread deployment. In particular, there is an overriding view that advancing AI is a tool that can be used for good or for bad depending on who is wielding the tool at any given time.

The British computer scientist Geoffrey Hinton was giving an interview with the New York Times upon leaving his role at Google, primarily so he could speak freely and publicly about the dangers of the technology that he helped create.

This article is part of TechRadar Pro's QOTD project to provide an insight into the minds of the brightest and most recognized figures in the technology industry today and in years gone by. Read the full series here.

In this landmark interview, the 'Godfather of AI' was clear that he couldn't continue working for Google while harboring the deep-rooted concerns that he held over the use of AI in various domains. The scientist is, for example, opposed to using AI on the battlefield in "robot soldiers", the newspaper reported.

At the time, he continued his relationship with Google because he saw the company as being a "proper steward" for AI as it was being developed. His concerns materialized when Microsoft incorporated Bing with a chatbot, forcing Google to act fast so it could incorporate AI into Google Search.

Hinton, who was jointly awarded the Nobel Prize in Physics for his work developing neural networks in the 1980s, has since remarked in an interview with CBS News that he didn't think we would make such progress in the 40 years since.

He has also floated the notion that there's a non-zero chance that AI could take over, comparing AI with a cute tiger cub that could, one day, potentially kill you when it's grown up. That came alongside warnings that various organizations and individuals, like cyber criminals or authoritarian regimes, could weaponize AI for their own agendas.

• Camera-only systems can only “approximately match” a human driver

• Multi-sensing setup offers more than just a failsafe
• Waymo co-CEO backs the use of Lidar and radar over camera-only systems

Waymo co-CEO Dmitri Dolgov has spoken out about the technology required to run a fully autonomous robotaxi service, addressing the subject of camera-only systems.

While he didn’t mention Tesla directly in his in-depth talk at Y Combinator’s Startup School, the presentation directly addressed vision-only camera setups, like those Elon Musk and Tesla have been pursuing.

“Humans, of course, can drive with just eyes, so there’s that proof of existence,” he said, according to Electrek.

“If the goal were to just approximately match human performance or to build an assist product, that’s a very reasonable way to go.”

But “weak sensing” inevitably leads to a safety curve that flattens out “way too early,” he added, highlighting the many cases where a camera system can come unstuck.

Low light or poor visibility, dust storms and objects physically blocking the lens can bring a camera-based system to a grinding halt in seconds.

Dolgov then gave an example of how Waymo’s combination of Lidar, radar and high-definition cameras allowed one stricken vehicle to safely navigate itself back to a depot when a tree branch became caught in its wipers and obscured the camera lens.

While Dolgov doesn’t completely dismiss camera-based systems, stating that they can easily support a driver with highly autonomous assistance systems, he admits they will struggle to replace a human entirely.

The issue is that fully autonomous robotaxis need to be as close to perfect as it’s possible to be.

A mounting record of accidents will likely put off customers for life and kill the technology before it has time to gain a foothold.

Having ridden in numerous autonomous vehicles over the years and listened to those that have built them, I am fully in Dmitri Dolgov's camp.

While a camera-based system might help keep costs down, fitting autonomous vehicles with Lidar, radar, and other sensors feels like a natural and reasonable step to make them as safe as possible.

A visit to Motional’s HQ in Las Vegas earlier this year illustrated the need for multiple sensing technologies when you completely remove the driver from the picture.

Its robotaxis, which are now bespoke versions of the Hyundai Ioniq 5 (complete with radar and Lidar), have driven over two million autonomous miles with zero at-fault incidents.

Like Waymo, it too believes a multimodal approach that fuses various technologies is the safest way forward.

Laura Major, the company’s CEO, said at the time that rival startups were able to get to a “90% performance” very quickly, often relying solely on high-definition cameras.

“These offer really smooth rides in most situations,” Major remarked. “The problem is when you’re going to remove a driver and have true driverless operation, that’s not enough. You can’t perform well in 90% of the cases,” she added.

Admittedly, I haven't ridden in one of Tesla's driverless Robotaxis, but the numbers don't lie.

According to Electrek, Tesla's own data confirms a crash rate three times worse than humans even with a monitor at the wheel, while Waymo's numbers suggest it is 17 times safer after covering some 220 million rider-only miles.

Tesla has accumulated just 380,000 driverless miles over the past year since launching its robotaxi service.

A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing 'today's game' while others are playing 'yesterday's'. If you're looking for Thursday's puzzle instead then click here: NYT Connections hints and answers for Thursday, August 6 (game #1152).

Good morning! Let's play Connections, the NYT's clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.

What should you do once you've finished? Why, play some more word games of course. I've also got daily Strands hints and answers and Quordle hints and answers articles if you need help for those too, while Marc's Wordle today page covers the original viral word game.

SPOILER WARNING: Information about NYT Connections today is below, so don't read on if you don't want to know the answers.

Today's NYT Connections words are…

• JACKPOT
• MOTOR
• SNOW
• JAR
• WICK
• SUNDAE
• RAMBO
• BUTTONS
• TOMATILLO
• SHAFT
• WAX
• BUCKYBALL
• LIQUID NITROGEN
• FRAGRANCE
• CABLES
• REFRIGERATOR

What are some clues for today's NYT Connections groups?

• YELLOW: Parts of thing you light
• GREEN: Frozen
• BLUE: Elements of a lift (in the UK)
• PURPLE: Begin with a masculine beast

Need more clues?

We're firmly in spoiler territory now, but read on if you want to know what the four theme answers are for today's NYT Connections puzzles…

What are the answers for today's NYT Connections groups?

• YELLOW: COMPONENTS OF A CANDLE
• GREEN: COLD THINGS
• BLUE: PARTS OF AN ELEVATOR
• PURPLE: STARTING WITH MALE ANIMALS

Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON'T WANT TO SEE THEM.

The answers to today's Connections, game #1153, are…

• YELLOW: COMPONENTS OF A CANDLE: FRAGRANCE, JAR, WAX, WICK
• GREEN: COLD THINGS: LIQUID NITROGEN, REFRIGERATOR, SNOW, SUNDAE
• BLUE: PARTS OF AN ELEVATOR: BUTTONS, CABLES, MOTOR, SHAFT
• PURPLE: STARTING WITH MALE ANIMALS: BUCKYBALL, JACKPOT, RAMBO, TOMATILLO

• My rating: Hard
• My score: 2 mistakes

“Solid” was Connections’ assessment of my performance today, which is very generous considering I messed up both COMPONENTS OF A CANDLE and COLD THINGS.

For COLD THINGS I thought it was specifically about keeping things cold, but after feeling confident about LIQUID NITROGEN, REFRIGERATOR, and SNOW, I panicked and selected JAR.

Next, I was certain we were looking for something to do with candles but instead of JAR I picked SHAFT, reasoning that it described the shape of a traditional candle.

• YELLOW: CLASSIC WOODEN TOYS: ALPHABET BLOCKS, CUP-AND-BALL, JACOB'S LADDER, LINCOLN LOGS
• GREEN: PLACES WITH LANES: BOWLING ALLEY, FREEWAY, SUPERMARKET, SWIMMING POOL
• BLUE: ICONIC ROMAN LANDMARKS: COLOSSEUM, PANTHEON, SPANISH STEPS, TREVI FOUNTAIN
• PURPLE: PLACES WITH NETS: BARCLAYS CENTER, FISHING BOAT, HOCKEY RINK, TENNIS COURT

NYT Connections is one of several increasingly popular word games made by the New York Times. It challenges you to find groups of four items that share something in common, and each group has a different difficulty level: green is easy, yellow a little harder, blue often quite tough and purple usually very difficult.

On the plus side, you don't technically need to solve the final one, as you'll be able to answer that one by a process of elimination. What's more, you can make up to four mistakes, which gives you a little bit of breathing room.

It's a little more involved than something like Wordle, however, and there are plenty of opportunities for the game to trip you up with tricks. For instance, watch out for homophones and other word games that could disguise the answers.

It's playable for free via the NYT Games site on desktop or mobile.

• Recycled Mars rover hardware may still cost NASA more than expected
• PROMISE faces mounting questions over unexpectedly high development and integration costs
• Existing rover hardware cannot eliminate costly engineering and certification requirements

NASA's long-term lunar exploration program includes robotic missions requiring specialized vehicles capable of carrying scientific instruments across the Moon.

One proposed mission involves sending the Polar Rover for Observation, Mapping, and In-Situ Exploration (PROMISE), a robotic Moon rover, to conduct scientific investigations on the lunar surface.

According to NASA, the proposal to build the rover from recycled Mars rover engineering hardware could become too expensive after estimates reached between $723 million and $1.33 billion.

Instead of building the Moon rover from scratch, NASA plans to combine engineering models from the Curiosity and Perseverance rover programs.

Although the concept relies on existing hardware, NASA says the expected costs remain far beyond what the agency considers acceptable for such a mission.

The cost estimates were prepared by Casey Dreier, the Planetary Society's chief of space policy, after reviewing NASA's proposal for the planned lunar rover.

According to Dreier, the estimated total includes launch and landing costs ranging from $234 million to $320 million together with engineering expenses.

NASA Administrator Jared Isaacman did not challenge every figure within the estimate, but argued that launch and landing expenses would exist for any lunar mission.

Isaacman believes that it “would be crazy not to take advantage of hardware taxpayers have already invested hundreds of millions of dollars in."

But, "If PROMISE costs even 20 percent of your low-end estimate, we simply will not fly it," he concluded.

The proposal combines MAGGIE and OPTIMISM, engineering models developed to support testing for the Curiosity and Perseverance rover programs before their Mars missions.

Those vehicles were built to help engineers test hardware performance, software functions, and driving activities under controlled conditions before operational spacecraft left Earth.

NASA originally considered the concept because using hardware that already exists appeared capable of reducing development costs.

Engineers would still need to certify the hardware for launch because equipment designed for ground testing cannot automatically survive spaceflight and lunar operations.

Additional work would also involve adapting communications equipment and integrating NASA's available plutonium radioisotope power system into the redesigned lunar vehicle.

The engineering models currently support existing activities, meaning removing them from those roles could affect testing work linked to other programs.

Dreier summarized the financial challenge by saying, "Regardless of whether one agrees with every estimate… one thing is clear: PROMISE is far from a 'freebie.'"

The engineering models currently support existing activities, meaning removing them from those roles could affect testing work linked to other programs.

NASA has not released its own detailed cost estimate for the proposed rover; therefore, the project's overall financial viability remains under wraps.

That said, its future will likely depend on whether engineers can reduce costs while overcoming technical challenges involved in converting Earth-based test hardware.

Via The Register

- Season 4 renewed before season 3 even aired
- Filming is underway and began in May 2026
- Netflix is predicting a 2027 release date
- Core cast expected to return

Who else has been left reeling after that shocking cliffhanger in the My Life with the Walter Boys season 3 ending? Jackie (Nikki Rodriguez) and Cole (Noah LaLonde) feel more off the cards than ever, with the drag racing accident putting a fatal spanner in the works.

On top of that, Alex (Ashby Gentry) has finally admitted that he has feelings for Kiley (Mya Lowe), but her boyfriend Dylan (Kolton Stewart) has driven a manipulative wedge between them. Still, at least George (Marc Blucas) is very much alive and healthy.

Netflix has some huge questions to answer in My Life With the Walter Boys season 4 — but what do we actually know about what's coming?

Luckily, the core cast and release window have already been teased (and I've got good theories about the rest).

Netflix has already confirmed that My Life with the Walter Boys is slated for a 2027 release.

While we don't have an exact date confirmed, the last two seasons have aired in August... and I've got a feeling that the streamer will stick with its tried-and-tested formula.

Filming has been taking place in Calgary since May 2026, which is another key indicator that progress is on track for an August 2027 release.

“I know I speak for the writers, the cast, and the crew when I say that it is beyond exciting to be returning to the world of Silver Falls for a fourth season,” showrunner and executive producer Melanie Halsall said in a press statement. “We are all incredibly grateful and are thrilled to dive in."

Don't be silly. It took us until the middle of July 2026 to get one for season 3, so expect the first full trailer to arrive around four weeks before the fourth season does.

We're expecting the following main cast members to return for My Life with the Walter Boys season 4:

• Nikki Rodriguez as Jackie
• Noah LaLonde as Cole
• Ashby Gentry as Alex
• Sarah Rafferty as Katherine
• Marc Blucas as George
• Connor Stanhope as Danny
• Jaylan Evans as Skylar
• Corey Fogelmanis as Nathan
• Johnny Link as Will
• Isaac Arellanes as Isaac
• Myles Perez as Lee
• Alisha Newton as Erin
• Mya Lowe as Kiley
• Ellie O’Brien as Grace
• Kolton Stewart as Dylan
• Natalie Sharp as Blake
• Alex Quijano as Richard
• Ashley Tavares as Tara
• Dean Petriw as Jordan
• Alix West Lefler as Parker
• Lennix James as Benny
• Gabrielle Jacinto as Olivia
• Chad Rook as Mac
• Naveen Paddock as Eliot
• Erin Karpluk as Hannah

There are question marks around Fogelmanis and Link's return, as both Will and Nathan were set to leave the family home at the end of season 3.

We can also expect new faces to join the cast, so watch this space.

Spoilers for My Life with the Walter Boys season 3 ahead.

“Our story’s about love and romance and love triangles and all those teenage trials and tribulations around those things, and we’re not going to divert from those — so much, much more of that to come in Season 4," Halsall told Netflix.

But what does this actually mean?

Obviously, the first thing we need to find out in season 4 is whether Cole is hurt. His car is flipped enough times for there to be some serious damage, but it's difficult to tell what that is in the season 3 cliffhanger.

Then, of course, there's the question of whether Jackie actually follows through with her kiss with Eliot. I've got a sneaking suspicion that she'll pull away at the last second... but perhaps that's wishful thinking. It's certainly a moment that her future relationship with Cole could hinge on, if he pulls through.

Kiley will hopefully break up with Dylan and finally see that she should have been with Alex all along, but this isn't something that Dylan is likely to take quietly. Expect more overt tension between him and Alex, put it that way.

What is more difficult to tell is whether we'll see how Will and Nathan get on after they fly the nest, but the remaining Walter kids prepping for university is likely to feature heavily.

Apple and OpenAI are currently engaged in a legal battle. Apple alleges that OpenAI stole trade secrets and poached employees.

But the two companies have always had a complicated relationship. They partnered in 2024 to bring ChatGPT to Apple devices, but Apple chose Google's Gemini rather than OpenAI for Siri. Then OpenAI acquired io, the hardware startup founded by former Apple design chief Jony Ive, and promised a future hardware device, powered by AI.

All of this has prompted speculation about what Apple is worried about if OpenAI makes hardware, too. We can't know the company's motivations and the specifics of the case are still unfolding. But it got me thinking, what if your phone stopped being a collection of apps and instead revolved around AI?

If AI became the main interface, which apps would disappear and which would survive? And would a phone controlled through ChatGPT actually be practical?

So I decided to find out based on the current tech we have. For a day, whenever I reached for an app, I'd try ChatGPT first instead. If it could do the job, great it passed the test. If it couldn't, it would fail.

There were some obvious things I missed out from the start. ChatGPT isn't connected to my email, it can't open WhatsApp for me and it doesn't have access to my wallet, so those wouldn’t be part of the test. But there were plenty of everyday tasks that felt like fair game.

I use the stopwatch in my iPhone's Clock app constantly throughout the day. When I'm working, cooking or exercising, it's one of the simplest ways I've found to keep me on track as a freelancer. When you can set your own schedule, it's way too easy to disappear down a research rabbit hole and lose an hour.

I asked ChatGPT to start a stopwatch. It said it couldn't measure elapsed time, although it could estimate the time based on message timestamps if I later asked it to stop. Instead, it suggested I use my phone's built-in Clock app.

Result: fail

Strangely, I don't use alarms as much as stopwatches. But if I only have 25 minutes to spare, whether that’s for cleaning or working on a personal writing project, I'll sometimes set one to keep myself focused.

Would ChatGPT do any better here? Well, at first it looked promising. It created a scheduled task to notify me after 10 minutes. I checked that notifications were enabled, put my phone down and carried on working.

When I realized at least 15 minutes had passed, I checked the chat. Sure enough, ChatGPT had posted a message saying the time was up, but it hadn't actually alerted me. Later, I discovered it had also sent an email but it had landed in my spam folder. This one was a fail too in my book.

Result: fail

I love the word games in the New York Times app, home to addictive puzzles like Wordle and Connections. One of my current favorites is Spelling Bee. You're given a handful of letters and then have to make as many words as possible. It's one of my favorite ways to warm up my brain before I start writing.

Could ChatGPT recreate it? Surprisingly, yes. It generated a set of letters, understood the rules and kept track of the words I found. In terms of pure functionality, it worked.

But what it couldn't recreate was the experience. The New York Times app is beautifully simple, with an interface designed around the game. Playing through a chat window felt really clunky and annoying by comparison. The whole point of this game is I'm focusing on the letters and words, I don't want a constant back and forth with ChatGPT about the words.

So I'm calling this a partial success. Yes, ChatGPT replaced the mechanics of the game, but not the experience. And after a few rounds, I knew which version I'd rather use every day.

Result: partial pass

The Sky Guide app is one of my all-time favorites, especially its augmented reality mode. Turn on your phone's location and compass, point it at the night sky and it instantly tells you what you're looking at, whether that's constellations, planets, bits of debris, or the ISS. It's incredible.

Could ChatGPT replace it? Well, sort of. If you upload a photo of the night sky, ChatGPT can usually identify the constellations. But there are caveats. The image needs to be clear, the stars need to be visible and you're relying on a single snapshot. Whereas Sky Guide works continuously as you move your phone around the sky.

This was another reminder that knowledge doesn't necessarily bring you a good experience. Because yes, ChatGPT knows about constellations. But Sky Guide lets you explore them. You can point your phone in any direction, tap on a star or planet and instantly get more information about it without having to keep asking questions. It's a much more intuitive way to learn.

Result: partial pass

Telling me what to expect from the weather forecast for the day turned out to be one of ChatGPT's strongest categories.

The forecast was accurate and pulled from a reliable source, so I trusted the information it gave me. I did find myself asking follow-up questions for things like the hourly forecast and the chance of rain, which would have taken a single tap in a dedicated weather app.

It knew the answers and I trusted them, but getting to them was much slower. That's why I'm generously calling this one a pass.

Result: pass

I have a few favorite apps I use for guided meditations and have some saved in Spotify too. So I wondered whether ChatGPT could take over that role.

For this test, I switched on voice mode and asked it to guide me through a short meditation. Now, technically it did that. But in practice it wasn't even remotely relaxing.

Thanks to a recent update, the voice had odd intonation, frequent vocal fry and distracting little "ums", "ahs" and "let me sees" throughout that constantly pulled me out of the experience. At one point it even told me to breathe in, then never got around to telling me to breathe out.

By the logic of how I graded the other tests, this one should have been a partial pass. It did what I asked, right? But because I had to stop using it out of irritation and came away from the mediation feeling actively more stressed, it's going down as a fail for me.

Result: fail

ChatGPT doesn't have a great track record of counting things, so I was wary about using it as a calculator. I asked it to do some massive sums for me and it got all of them right.

It did pause a few times with a "let me think" message, so I wasn't getting the instant response I'd expect from a calculator. But the delay was only a few seconds, and the answers were correct.

Once again, I found myself missing the simplicity of an app. Typing numbers into a calculator is faster than turning them into a conversation. But ChatGPT did work as a capable stand-in.

Result: pass

I love Letterboxd. I log every film I watch, browse other people's lists and regularly discover new films through recommendations.

Now, there was never a chance ChatGPT could replace the logging side of the app. It can't update my Letterboxd diary or plug me into that community. But recommendations are one of the main reasons I use it, so I wondered how well ChatGPT would do.

I asked it to recommend films similar to some of my favorites, then spent the next few evenings watching its suggestions to really test them. And, to my surprise, it did an excellent job.

Then again, that perhaps isn't all that surprising. We know LLMs are trained on huge amounts of publicly available text, especially discussions reviews and recommendations from where film fans gather online, like Reddit. But whatever the reason, the recommendations felt well matched to my taste.

What I missed wasn't the recommendations themselves, but the social side of Letterboxd. I do enjoy seeing what friends had watched, reading reviews and stumbling across unexpected lists. So, for me, ChatGPT can't replace Letterboxd, but for simply finding something to watch, it did well.

Result: pass

I rely on my Maps app both for planning journeys in advance and for live navigation. So I asked ChatGPT the best way to get from my home to the airport the following day.

At first, it handled the request well. It laid out the different travel options clearly under headings and the advice looked really sensible. It even cited sources from places like Rome2Rio and The Trainline.

Then things got unnecessarily complicated. At the end of those suggestions it asked what time my flight was so it could tailor the recommendations. But when I told it, it started creating a scheduled task instead. I didn't want a reminder, so I had to cancel that, explain what I actually meant and steer the conversation back to route planning.

Eventually, it gave me the information I wanted. But the Maps app would have got me there in a fraction of the time, without all the back and forth.

It also can't replace what I actually use Maps for the most, which is live, turn-by-turn navigation.

Result: partial pass

ChatGPT obviously can't deliver food, but I wondered whether it could replace the part of the app I probably spend the longest on, which is deciding what to eat.

It got off to a surprisingly good start. It asked about my preferences, budget and location, then narrowed down the options and even presented them neatly on a map.

The recommendations themselves looked really good. They're all local places I already really liked to eat at. But there was just one problem. Every restaurant it suggested was closed. Even the map it generated had "closed" written beneath each one.

After a bit of back and forth, it said they weren't shut, eventually acknowledged that they were and suggested a different set of places instead.

Unfortunately, those weren't much use either. They were small independent cafés and restaurants that don't appear on food delivery apps. I wouldn't expect ChatGPT to know exactly which businesses partner with which delivery services, but it did highlight the gap between recommending somewhere to eat and actually helping me make a decision about where I could order from.

Result: fail

I still very reluctantly use Duolingo and have recently started trialling a few other language learning apps to polish my Spanish.

I asked ChatGPT to help me improve my Spanish for an upcoming trip and it suggested role-play ordering food in a café so I could practise.

We switched to voice mode and at first it felt genuinely fun. It held a natural back-and-forth conversation and felt much closer to speaking to a real person than working through a series of multiple-choice questions like in Duolingo.

But it was also noticeably glitchier than a dedicated language app thanks to that recent voice update. There were odd pauses in the conversation, and at one point it repeatedly kept marking one of my answers as incorrect when it wasn't. Shortly afterwards, the exercise just stopped working altogether after a bizarre "ummmmm" from ChatGPT.

When it was working, I actually enjoyed the experience more than using an app like Duolingo. But if I'm trying to learn a language properly, I also want something that's reliable.

Result: partial pass

I love identifying things I see in nature, like bird song with the Merlin app. But I most often rely on plant identifying apps when I'm walking to take a quick snap of a leaf or flower then find out more about it.

ChatGPT was really effective at doing this. I took pictures of leaves, trees, flowers and bushes. I was a little wary about the results at first because I know that ChatGPT tends to make guesses about things rather than admitting it doesn't know. But I did fact check all of the results and everything seemed accurate.

Again, I missed some of the simple, additional features in dedicated apps. But it was surprisingly effective.

Result: pass

Before drawing too many conclusions, it's worth pointing out that a true AI-native phone wouldn't just be ChatGPT running as another app like it was in this experiment. It would probably be integrated into the operating system. Which would mean it could access things like your calendars, timers, navigation and settings. So many of the tasks ChatGPT failed at here might become a whole lot easier with an AI-first phone.

This experiment was based on whether AI could replace the apps on my phone. What I found was that it replaces a specific kind of app. Well, sort of.

If an app's main job is providing information, explaining something or answering questions, AI is already a fairly capable alternative. Plant identification, travel advice, calculations and general knowledge all felt natural.

But if an app exists to perform an action quickly, like starting a timer, setting an alarm, finding restaurants for getting food delivered, opening a map, AI still has a long way to go. Those tasks depend on deeper integration with the device and a different way of working, not just how smart it is.

There are some big trade-offs, too. Dedicated apps often rely on specialist databases and expertise, while AI can still present incorrect answers confidently or fail to make its uncertainty clear. For example, when I was trying to identify a plant I felt wary because I'd generally trust an app built with the input of botanists over a chatbot.

And, as you could probably tell from my mounting frustration, a huge sticking point for me was also realizing how much I missed the interface of many apps.

For me, a well-designed app is always a better way to explore information than a conversation. I don't think everything should, or even can, be done through chat, despite that being the direction many AI companies seem to be heading. In fact, it showed me that a conversational interface can be more work rather than less.

It's impossible to know exactly what Apple and OpenAI's long-term plans are. But I can imagine a future where knowledge apps increasingly merge into AI, while utility apps remain part of the operating system itself.

If that happens, we may stop thinking about which app to open and simply ask AI instead. But for that future to actually catch one, I'd want stronger guarantees around accuracy, better integration with trusted sources and the option to step outside the chat interface more often.

• Ukrainian drone destroys Russian flag moments after dramatic aerial deployment attempt
• Competing battlefield videos continue fueling disputed territorial claims across eastern Ukraine
• Analysts continue examining disputed battlefield footage for signs of digital manipulation

Ukrainian forces released footage showing a Russian flag destroyed roughly 30 seconds after a drone placed it on a damaged building in the Sumy region.

According to Ukraine's 105th Territorial Defense Brigade, Russian operators dropped the flag from a drone before Ukrainian personnel responded with an FPV drone strike.

The video shows a Russian drone placing a flag associated with Russia's Airborne Forces onto the roof of a damaged residential building in Velyka Pysarivka.

Footage later captures a Ukrainian FPV drone approaching the location before striking the flag shortly after it landed, ending the display within approximately 30 seconds.

The 105th Territorial Defense Brigade said drone operators located the position before Russian forces could use the footage to reinforce claims of battlefield progress.

"Enemy rags do not remain on Ukrainian soil for long," the 105th Territorial Defense Brigade said about the operation.

Velyka Pysarivka lies close to the Ukrainian border with Russia and has experienced repeated attacks while remaining an active area of military operations.

Fighting around the settlement continues as Russian forces conduct cross-border activities while attempting to expand operations across parts of the Sumy region.

The released footage focuses on the sequence involving the flag placement and the subsequent strike instead of showing any broader military engagement nearby.

Throughout the conflict between Russia and Ukraine, both sides have repeatedly made competing claims about capturing territory, often supported by battlefield footage.

The latest video follows another disputed incident involving territorial gains that was circulated through Russian military communication channels.

Russian sources previously circulated a video claiming forces had captured Bilyi Kolodyaz in Ukraine's Kharkiv region after raising a Russian flag inside the settlement.

Analysts later questioned that recording after identifying what they described as signs suggesting digital manipulation within several parts of the footage.

Among those observations were an unusually oversized soldier together with a flag that reportedly disappeared from the frame during the recording sequence.

Neither side's battlefield footage can always be independently verified immediately because active combat conditions often limit direct access to the reported locations.

Military analysts therefore continue examining released videos alongside satellite imagery, geolocation evidence, and additional sources before confirming claims involving territorial advances or battlefield events.

The flag incident in Velyka Pysarivka adds another example showing how symbolic actions increasingly accompany frontline operations.

As of now, independent verification of the footage remains unavailable, making its authenticity difficult to establish.

Via United24media

• Amazon beats its last all-time low price of AU$1,098 during EOFY, dipping below AU$1,000 for the first time
• Also discounted at Samsung Australia's store for AU$999, with exclusive colours and monthly installment payment options
• Trade-in options available from both stores for further savings

It’s an exciting time to be a Samsung phone fan right now with the recent launch of its new foldable range, including a brand new form factor for the Galaxy Z Fold 8.

Pre-orders are still ongoing, but with prices starting from AU$1,949, not everyone will be springing for these premium phones.

If you’re in the market for something much more affordable, then you’re in luck — the Samsung Galaxy S26 is currently at its all-time low price of AU$992 on Amazon, or a whopping 36% off.

Costing less than Apple’s budget phone — the AU$999 iPhone 17e — the base model Samsung Galaxy S26 is a true flagship device with three camera lenses, 12GB of RAM and the full Galaxy AI suite. This deal handily beats the previous all-time low of AU$1,098 we saw during EOFY and Prime Day. Amazon has the Black, Cobalt Violet, Sky Blue and White colours available for this price, and you can also trade in your old phone for more savings.View Deal

Our Samsung Galaxy S26 review praised the bright AMOLED display, reliable 3-lens camera setup and surprisingly long battery life given its relatively small 4,300mAh capacity. It also has a 6.3-inch screen, perfect for those who like smaller-sized handsets.

Storage options now also start at 256GB, up from the predecessor’s 128GB. That change, plus the other improvements over the S25, meant the S26 came with a price increase from AU$1,399 to AU$1,549.

Aussies also miss out on the Snapdragon 8 Elite chipset found in the US model, having to settle for an Exynos 2600 processor. Our reviewer also noted the relatively slow 25W charging speed and the lack of full Qi2 wireless charging support, commenting that this phone is only worth buying when it’s on sale.

And that’s why this phone is an easy recommendation for less than AU$1,000, despite its shortcomings. It’s a solid entry-level flagship with the specs to back it up, which also comes in an increasingly rare 6.3-inch size.

Not a fan of the default colours on sale at Amazon? The Samsung Australia store also has the handset discounted for AU$999, and that includes the store-exclusive Pink Gold and Silver Shadow colours. You can also purchase the handset through a monthly repayment plan and trade in an old device to save even more.View Deal