Editor’s note: Due to a patent dispute with medical device maker Masimo, new Apple Watch Series 9, 10, and Ultra 2 units sold in the US no longer have the blood oxygen feature. Older models are unaffected. You can tell if you have a unit with the blood oxygen feature disabled if the part number ends in LW/A.
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The best Apple Watch to buy in 2024
It used to be easy to pick an Apple Watch. All you had to do was choose whether you wanted the larger model or the smaller one. Then Apple added optional cellular connectivity. Then, a more affordable Watch SE (now in its second generation) and, in 2022, the rugged Apple Watch Ultra (also now in its second generation). Suddenly, there are lots of options.
Now that Apple has announced the Series 10, perfectly good older versions of the Apple Watch will get discounted as retailers try to empty their inventory. You may also see more refurbished versions of these older models pop up. If you’re interested in more premium materials, like stainless steel, this is a great way to get a fancier version of last year’s watch. You won’t be missing out on too much, either. The past few years have seen iterative updates in terms of hardware — and the bulk of new features come from software updates. With that said, keep in mind that the latest version of watchOS, watchOS 11, doesn’t support the Series 4, 5, and first-gen SE.
Buying refurbished is one way that you may be able to upgrade from an older model without giving up blood oxygen. Due to a patent battle with Masimo, new Series 9 and Ultra 2 models sold in the US after January 18th, 2024, no longer have this feature. This is not a big deal for most people, but if that feature is important to you, older watches and Series 9 and Ultra 2 units sold by Apple before January 18th still had the feature. (As do watches overseas. The ban only impacts US units.)
What about the new Series 10? In a nutshell, it’s got a bigger screen, it’s about 10 percent thinner, and it’s lighter than previous models. It’s also got a new FDA-cleared sleep apnea detection feature. There are a ton of new colors and finishes, with titanium replacing stainless steel. All in all, it’s an iterative update but one we find meaningful in terms of readability and wearability.
So much choice can lead to analysis paralysis. But don’t worry. I’ve tested every single version of the Apple Watch you can buy right now — in addition to basically every other fitness watch and smartwatch on the market — and can steer you in the right direction.
Should you get an Apple Watch?
The Apple Watch is the best overall smartwatch for iPhone users. Many smartwatches are better than the Apple Watch for hardcore athletes, even with the Ultra models in the mix. But other watches fall short when it comes to productivity, safety features, controlling your smart home, and interacting with other Apple devices and services. And the Apple Watch has the most robust third-party app ecosystem of any smartwatch on the market.
By their nature, wearables are incredibly personal devices — and you won’t get the benefits of an Apple Watch if you don’t wear it regularly. The last thing you want is to spend hundreds of dollars on a thing that ends up collecting dust in a drawer. The best way to avoid this is to stack the deck in your favor and prioritize comfort. Before you try to start mulling over which Apple Watch model you should get, take a second to figure out which size and strap material will best fit your wrist.
The SE and Series watches come in two sizes each. The SE comes in 40mm and 44mm, while the Series 7, 8, and 9 are 41mm and 45mm. The new Series 10 ups the size again to 42mm and 46mm. The larger models are better for readability, while the smaller ones are more comfortable for those with petite wrists. Both the SE and the Series watches have aluminum cases, but the Series 10 now comes in titanium, too. (Older models come in stainless steel.) Most people will be fine with aluminum, but if you’re clumsy or very active, you’ll benefit from the extra durability offered by stainless steel or titanium. You might also just like the look better — and that’s valid since watches are a personal piece of tech. Just be prepared to pay a few hundred bucks more for that.
As for straps, we recommend the nylon sp
ort loop, as it’s the most breathable option, has the easiest clasp, and is less irritating than the silicone options, which is great for sensitive skin. If you want more fashionable options, we recommend checking out Amazon or Etsy for a wider variety of styles and more affordable pricing.
You’ll want to check third parties for leather accessories, too. With the Series 9, Apple announced it will no longer make leather accessories in a bid to achieve carbon neutrality. Apple does have a suede-like FineWoven alternative, but it’s expensive, and in my experience, the material is extremely polarizing. Most Verge staffers agree it works better on the watch than on the phone case, but save yourself some grief and feel it out for yourself at an Apple Store before buying.
The Ultra and Ultra 2 both come in one size — 49mm — and with titanium cases. They come with their own special straps, too: the trail loop, alpine loop, and ocean loop. As their names suggest, they’re geared toward runners, hikers, and divers, but you can pick whichever one suits your fancy. We recommend the trail loop, as it’s the lightest and most versatile of the three. All the Ultra straps work with any 44mm or 45mm Series watch, and the Ultra is compatible with any 44mm or 45mm Apple Watch strap.
And while the Apple Watch is the best smartwatch you can get as an iPhone user, you can also always check out our fitness tracker buying guide.
Apple Watch Series, SE, or Ultra?
This year’s Series 10 is a more modest update. It primarily focuses on making the watches more comfortable while adding a larger, wide-angle OLED display. If you’re upgrading from an older model, you’ll definitely notice that you can see more from the wrist. The speakers now play music and podcasts, and voice isolation on calls has been improved. There’s an added depth and water temperature sensor, which makes it a better companion for water sports as well. Fast charging has also been meaningfully improved. On the health front, Apple has brought FDA-cleared sleep apnea detection to the watch, along with the Series 9 and Ultra 2.
We recommend the second-gen Apple Watch SE for younger people and first-time smartwatch buyers. If you’re upgrading from an earlier Apple Watch, you want an always-on display, or you want more advanced health tracking, you should consider the Series 10. And if you want the brightest screen, the best durability and battery life, and even more advanced fitness features, we recommend the Ultra 2.
The Series 10 is Apple’s flagship smartwatch. Compared to earlier models, it’s going to get you the fastest processor, quick charging, a larger display, and all the latest sensors. Prices start at $399 for the 42mm version and $429 for the 46mm. Adding LTE connectivity will add $100 to the price, plus whatever your carrier charges for the service. Prices start at $699 for the polished titanium models.
The second-gen SE has a nylon composite back, which helps shave $30 off the original’s price. You can get a cellular version, and it supports many of the same advanced features as the last-gen Series 8, like fall detection, emergency calling, Fitness Plus, Apple Pay, and Family Setup. The biggest difference is that it lacks an always-on display, the EKG sensor, the temperature sensors, and the SpO2 sensor. The display is also slightly smaller on both sizes of the SE. It starts at $249 for the 40mm and $279 for the 44mm. Adding LTE will tack on an extra $50 in addition to your carrier’s fees.
To be perfectly honest, if you’re young and healthy, you’re not really missing out on EKG or SpO2. (Also, new watches sold in the US currently have the SpO2 feature disabled anyway.) The SE’s heart rate sensor is still capable of providing abnormal heart rate alerts. Right now, Apple’s SpO2 features are limited to spot checks. There’s not much you can do with that information, and unlike the EKGs, this is only cleared for general wellness purposes. It will not be able to replace a fingertip pulse oximeter, and you should never use it in this way.
The main purpose of the EKG sensor is to enable atrial fibrillation detection — and if your doctor’s given you a clean bill of health, you will likely only use this feature once or twice. According to the American Heart Association, the biggest risk factors for AFib are advanced age, underlying heart conditions, high blood pressure, family history, and sleep apnea, among other lifestyle choices. If this doesn’t apply to you, the SE is still going to give you an excellent health tracking experience and all the same smart features. Young, first-time buyers may as well save the extra $150 — so long as the lack of an always-on display isn’t a deal-breaker.
There are some situations where opting for the Series 10 is the better choice, however, like if you want an always-on display or need to have the latest and greatest. The larger, wide-angle OLED display also provides much better readability for anyone with bad eyesight. It’s also the better choice if you have a heart condition or are at a higher risk of developing AFib. If you suspect you may have sleep apnea, you’ll also need a Series 9, 10, or Ultra 2 to access that feature.
The Ultra 2 currently sits atop the lineup as Apple’s premium smartwatch. It’s visually distinct from both the Series and SE — and at 49mm, it’s the biggest of them all. Not only that, it has increased durability, water resistance, and a raised lip to protect the flat display. It also has an additional water temperature and depth sensor for divers, three microphones, and two speakers, which enable the Siren. It’s also got the Action button, which can be programmed for various activities, pause workouts, and trigger the Siren. At $799, this is the most expensive Apple Watch, but every model comes equipped with LTE capability. If you have an Ultra and are wondering if you should upgrade to the Ultra 2, the answer is no. If you have an Ultra 2 and are wondering if you should upgrade to the new black color, the answer is also no. (Admittedly, it does look quite nice.) It’s too soon, and there’s not enough of a difference. We recommend the Ultra 2 for new buyers only.
If battery life is your highest priority, getting either Ultra is the best choice. In testing, we got up to 60 hours without Low Power Mode enabled. However, if you use about one hour of GPS tracking a day or take calls, you’re more likely to get around two days. It’s also the better choice if you frequently hike, dive, or run trails. While marketed as a hardcore watch for explorers, in our opinion, it’s more of an aspirational watch for weekend warriors and intermediate athletes — or anyone who wants to be at that level.
You’re not going to beat either Ultra on battery life, but you can stretch out the battery life on the Series 4 or later with Low Power Mode. You can even sleep track with Low Power Mode on, though it’ll turn off background health sensors. With the Series 10, Apple has improved fast charging as well. Official estimates are that you can get 0 to 80 percent in 30 minutes, which roughly matches our real-world testing. Just be sure you’re using the correct charging accessories.
If you have smaller wrists, you may want to opt for the Series 10 as it has fast charging and is more comfortable to wear long-term. Faster charging comes in clutch when you’re about to head to bed and you’ve only got 15 percent battery. Also, if you’re the type that values futureproofing, the Series 10’s hardware will be able to support newer features for a longer period of time thanks to its newer processor. This is why folks who love their watch and are looking to upgrade from a Series 4 or older should also pick the Series 10. If you’re already in the habit of wearing the watch daily, you’ll get more mileage out of it as the SE is more of a gateway device, and the Ultra is overkill for the average joe.
The best Apple Watch if you’re on a budget
The latest Watch SE is the way to go for people who want to futureproof their hardware without breaking the bank (so long as you’re okay forgoing a larger display). You’re getting the same processor as the Series 8 and original Ultra, plus Crash Detection.
While the second-gen SE is an excellent watch, it’s not always the right choice. It’s meant to be a gateway watch, so it’s best suited to folks who are completely new to the Apple Watch and want to spend as little as possible. If you’re looking to upgrade from an older watch but don’t want to pony up for the Series 10, there’s another option: buying a used or refurbished Apple Watch.
Buying secondhand devices is also better for the environment and a more affordable way to get more expensive materials. Materials like sapphire glass, stainless steel, or titanium can add hundreds to the price of a new watch. It’s also a good way to save money if you’re just not excited by the Series 10’s features but want more than what the SE offers.
It’ll take some patience to find the best price and the model you want. After all, you’re limited by what’s available. However, there are several sites that offer older models. Sometimes, you can also find deals and sales as well. If you’re worried about getting scammed, look for deals recommended by sources you trust (cough, cough, Verge Deals). Apple also sells its own refurbished models, which come with a full Apple warranty and are generally in a “like new” condition, though the selection can be limited, and you likely won’t pay less than a new SE. Sites like Back Market will also let you sort by condition and obtain a 12-month warranty.
If you’re considering a used or refurbished model, we recommend the Series 7 or Series 8 because they’ll get you a larger screen for readability. We also recommend that you use $250 as a benchmark since that’s the price of a new base model Watch SE. With that said, if you’re getting premium materials, going a little higher is fine. Do not get a refurbished Series 3 or older. Although you can find them for $100 (sometimes less!), they can’t run the latest software and even struggle to update the newest software they do support.
The best Apple Watch for kids
If you want your child to have an Apple Watch, we recommend picking a cellular Apple Watch SE or, if you can find one, a refurbished Series 4, 5, or 6 with cellular. All of these watches come in smaller sizes than the Series 7, 8, or 9, which will likely better fit their wrist. Also, the lower price will give you better peace of mind if you have a rambunctious kid. They likely won’t need many of the marquee features found in watchOS 11, either. That being said, if you want the most futureproof options, the second-gen SE and Series 6 are the best choices.
Since you’re buying for children, you’ll likely want to use Family Setup, as it will give you greater parental controls. (You can read our review of the feature here.) However, there are technical specifications that you’ll need to match in order to use it. You’ll need a cellular version of the device, and it must at least support watchOS 7. Apple’s support page states that you need a Series 4 or later or an Apple Watch SE for Family Setup.
If you opt for the Family Setup route, not every feature will be available. While you can get Apple Pay and certain health features, you will not get the following: health data sharing, respiratory rate, irregular heart rhythm notifications, EKG, Cycle Tracking, Sleep, Blood Oxygen, Podcasts, Remote, News, Home, and Shortcuts.
The best Apple Watch for older relatives
This can be a tricky one, but we recommend a cellular Series 9 or 10.
For starters, the larger screen is much easier on the eyes. You can also increase the text size to be larger than on the SE or older Apple Watches. The always-on display aids accessibility, especially if arm mobility is a consideration. You’ll also get the full suite of health features, including irregular heartbeat alerts, walking steadiness, EKGs, fall detection, sleep apnea detection, and emergency calling. These models also have the double tap feature and improved Siri functionality, which may be helpful for elderly relatives with dexterity issues.
You can use the Ultra, but you should keep its size and weight in mind. Depending on your loved one’s wrist size and health, it may not make sense. Both sizes of the Series 10 have comparable screen sizes but are much lighter and more comfortable to wear.
If your older relative has an iPhone and you’re hoping to use this for health reasons, we also don’t recommend Family Setup. That’s because you cannot use features like irregular heart rhythm notifications, EKG, and health data sharing. If your relative doesn’t have an iPhone, however, Family Setup is a fine option. You’ll still get high and low heart rate notifications, walking steadiness, and fall detection.
Update, October 16th: Updated to reflect current pricing and availability.
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NYT Connections: hints and answers for Thursday, October 17
Connections is the latest puzzle game from the New York Times. The game tasks you with categorizing a pool of 16 words into four secret (for now) groups by figuring out how the words relate to each other. The puzzle resets every night at midnight and each new puzzle has a varying degree of difficulty. Just like Wordle, you can keep track of your winning streak and compare your scores with friends.
Some days are trickier than others. If you’re having a little trouble solving today’s Connections puzzle, check out our tips and hints below. And if you still can’t get it, we’ll tell you today’s answers at the very end.
How to play Connections
In Connections, you’ll be shown a grid containing 16 words — your objective is to organize these words into four sets of four by identifying the connections that link them. These sets could encompass concepts like titles of video game franchises, book series sequels, shades of red, names of chain restaurants, etc.
There are generally words that seem like they could fit multiple themes, but there’s only one 100% correct answer. You’re able to shuffle the grid of words and rearrange them to help better see the potential connections.
Each group is color-coded. The yellow group is the easiest to figure out, followed by the green, blue, and purple groups.
Pick four words and hit Submit. If you’re correct, the four words will be removed from the grid and the theme connecting them will be revealed. Guess incorrectly and it’ll count as a mistake. You only have four mistakes available until the game ends.
Hints for today’s Connections
We can help you solve today’s Connection by telling you the four themes. If you need more assistance, we’ll also give you one word from each group below.
Today’s themes
- GRASSY AREA
- DEAL WITH
- MOVIES WITH “S” REMOVED
- ___ LAW
One-answer reveals
- GRASSY AREA – GREEN
- DEAL WITH – ADDRESS
- MOVIES WITH “S” REMOVED – CAR
- ___ LAW – CRIMINAL
Today’s Connections answers
Still no luck? That’s OK. This puzzle is designed to be difficult. If you just want to see today’s Connections answer, we’ve got you covered below:
Connections grids vary widely and change every day. If you couldn’t solve today’s puzzle, be sure to check back in tomorrow.
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SpaceX is suing the California Coastal Commission for not letting it launch more rockets
Last week, the California Coastal Commission rejected a plan for SpaceX to launch up to 50 rockets this year at the Vandenberg Space Force Base in Santa Barbara County. The company responded yesterday with a lawsuit, alleging that the state agency’s denial was overreaching its authority and discriminating against its CEO.
The Commission’s goal is to protect California’s coasts and beaches, as well as the animals living in them. The agency has control over private companies’ requests to use the state coastline, but it can’t deny activities by federal departments. The denied launch request was actually made by the US Space Force on behalf of SpaceX, asking that the company be allowed to launch 50 of its Falcon 9 rockets, up from 36.
While the commissioners did raise about SpaceX CEO Elon Musk’s political screed and the spotty safety records at his companies during their review of the launch request, the assessment focused on the relationship between SpaceX and Space Force. The Space Force case is that “because it is a customer of — and reliant on — SpaceX’s launches and satellite network, SpaceX launches are a federal agency activity,” the Commission stated. “However, this does not align with how federal agency activities are defined in the Coastal Zone Management Act’s regulations or the manner in the Commission has historically implemented those regulations.” The California Coastal Commission claimed that at least 80 percent of the SpaceX rockets contain payloads for Musk’s Starlink company rather than payloads for government clients.
The SpaceX suit filed with the Central District of California court is seeking an order to designate the launches as federal activity, which would cut the Commission’s oversight out of its future launch plans.
Technology
Microsoft’s Differential Transformer cancels attention noise in LLMs
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Improving the capabilities of large language models (LLMs) in retrieving in-prompt information remains an area of active research that can impact important applications such as retrieval-augmented generation (RAG) and in-context learning (ICL).
Microsoft Research and Tsinghua University researchers have introduced Differential Transformer (Diff Transformer), a new LLM architecture that improves performance by amplifying attention to relevant context while filtering out noise. Their findings, published in a research paper, show that Diff Transformer outperforms the classic Transformer architecture in various settings.
Transformers and the “lost-in-the-middle” phenomenon
The Transformer architecture is the foundation of most modern LLMs. It uses an attention mechanism to weigh the importance of different parts of the input sequence when generating output. The attention mechanism employs the softmax function, which normalizes a vector of values into a probability distribution. In Transformers, the softmax function assigns attention scores to different tokens in the input sequence.
However, studies have shown that Transformers struggle to retrieve key information from long contexts.
“We began by investigating the so-called ‘lost-in-the-middle’ phenomenon,” Furu Wei, Partner Research Manager at Microsoft Research, told VentureBeat, referring to previous research findings that showed that LLMs “do not robustly make use of information in long input contexts” and that “performance significantly degrades when models must access relevant information in the middle of long contexts.”
Wei and his colleagues also observed that some LLM hallucinations, where the model produces incorrect outputs despite having relevant context information, correlate with spurious attention patterns.
“For example, large language models are easily distracted by context,” Wei said. “We analyzed the attention patterns and found that the Transformer attention tends to over-attend irrelevant context because of the softmax bottleneck.”
The softmax function used in Transformer’s attention mechanism tends to distribute attention scores across all tokens, even those that are not relevant to the task. This can cause the model to lose focus on the most important parts of the input, especially in long contexts.
“Previous studies indicate that the softmax attention has a bias to learn low-frequency signals because the softmax attention scores are restricted to positive values and have to be summed to 1,” Wei said. “The theoretical bottleneck renders [it] such that the classic Transformer cannot learn sparse attention distributions. In other words, the attention scores tend to flatten rather than focusing on relevant context.”
Differential Transformer
To address this limitation, the researchers developed the Diff Transformer, a new foundation architecture for LLMs. The core idea is to use a “differential attention” mechanism that cancels out noise and amplifies the attention given to the most relevant parts of the input.
The Transformer uses three vectors to compute attention: query, key, and value. The classic attention mechanism performs the softmax function on the entire query and key vectors.
The proposed differential attention works by partitioning the query and key vectors into two groups and computing two separate softmax attention maps. The difference between these two maps is then used as the attention score. This process eliminates common noise, encouraging the model to focus on information that is pertinent to the input.
The researchers compare their approach to noise-canceling headphones or differential amplifiers in electrical engineering, where the difference between two signals cancels out common-mode noise.
While Diff Transformer involves an additional subtraction operation compared to the classic Transformer, it maintains efficiency thanks to parallelization and optimization techniques.
“In the experimental setup, we matched the number of parameters and FLOPs with Transformers,” Wei said. “Because the basic operator is still softmax, it can also benefit from the widely used FlashAttention cuda kernels for acceleration.”
In retrospect, the method used in Diff Transformer seems like a simple and intuitive solution. Wei compares it to ResNet, a popular deep learning architecture that introduced “residual connections” to improve the training of very deep neural networks. Residual connections made a very simple change to the traditional architecture yet had a profound impact.
“In research, the key is to figure out ‘what is the right problem?’” Wei said. “Once we can ask the right question, the solution is often intuitive. Similar to ResNet, the residual connection is an addition, compared with the subtraction in Diff Transformer, so it wasn’t immediately apparent for researchers to propose the idea.”
Diff Transformer in action
The researchers evaluated Diff Transformer on various language modeling tasks, scaling it up in terms of model size (from 3 billion to 13 billion parameters), training tokens, and context length (up to 64,000 tokens).
Their experiments showed that Diff Transformer consistently outperforms the classic Transformer architecture across different benchmarks. A 3-billion-parameter Diff Transformer trained on 1 trillion tokens showed consistent improvements of several percentage points compared to similarly sized Transformer models.
Further experiments with different model sizes and training dataset sizes confirmed the scalability of Diff Transformer. Their findings suggest that in general, Diff Transformer requires only around 65% of the model size or training tokens needed by a classic Transformer to achieve comparable performance.
The researchers also found that Diff Transformer is particularly effective in using increasing context lengths. It showed significant improvements in key information retrieval, hallucination mitigation, and in-context learning.
While the initial results are promising, there’s still room for improvement. The research team is working on scaling Diff Transformer to larger model sizes and training datasets. They also plan to extend it to other modalities, including image, audio, video, and multimodal data.
The researchers have released the code for Diff Transformer, implemented with different attention and optimization mechanisms. They believe the architecture can help improve performance across various LLM applications.
“As the model can attend to relevant context more accurately, it is expected that these language models can better understand the context information with less in-context hallucinations,” Wei said. “For example, for the retrieval-augmented generation settings (such as Bing Chat, Perplexity, and customized models for specific domains or industries), the models can generate more accurate responses by conditioning on the retrieved documents.”
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Technology
Zepto eyes $100M from Indian offices in third funding in 6 months
Zepto is in advanced stages of talks to raise $100 million in new investment, its third in the last six months, as the leading Indian quick commerce startup looks to rope in more domestic investors, sources familiar with the talks told TechCrunch.
The Mumbai-headquartered startup, which delivers grocery items and office stationery to customers’ doorsteps in 10 minutes in multiple Indian cities, is raising the new investment from Indian family offices and high net worth individuals.
Motilal Oswal, the asset management giant that earlier invested $40 million in Zepto, is running the mandate for the new funding deliberation, the sources said, requesting anonymity as the matter is private. The financial services firm has already received commitments for more than half of the allocation, according to another source familiar with the situation.
The new investment values Zepto at a $5 billion post-money valuation, the same value at which it recently closed a $340 million financing round in August. Zepto has raised more than $1 billion in the last six months and all of it remains in its bank.
Zepto is planning to go public next year and the new fundraise is aimed at expanding the base of domestic investors on its cap table. Zepto counts Avra, Lightspeed, Nexus, StepStone Group, YC Continuity, Glade Brook and Contrary among its backers.
Even as quick commerce startups are retreating, consolidating or shutting down in many parts of the world, the model is showing encouraging signs in India. Quick commerce startups are on track to do a sale of more than $6 billion this year, according to TechCrunch’s analysis.
In response to the fast rise of quick commerce, which is increasingly shaping the consumer behavior in India, many e-commerce incumbents — including Flipkart, Myntra and Nykaa have been forced to scramble ways to lower the time they take to deliver items to their customers.
Shares of Dmart, which runs one of the largest brick-and-mortar retail chains in India, fell this week after the firm confirmed that it was losing some business to quick commerce startups.
“We believe Quick Commerce players are expanding cities, categories, SKUs, AOVs and discounts, and creating parallel commerce for convenience-seeking customers,” analysts at Morgan Stanley wrote in a note this week.
Zepto – which competes with Zomato-owned BlinkIt, Prosus-backed Swiggy’s Instamart, and Tata’s BigBasket – has grown its annualized net runrate considerably in recent months, according to sources and an internal document reviewed by TechCrunch.
Zepto co-founder and chief executive Aadit Palicha told a group of investors in August that the startup projects to grow at 150% in the next 12 months, TechCrunch earlier reported.
Technology
DJI says US customs is blocking its drone imports
DJI tells The Verge that it currently cannot freely import all of its drones into the United States — and that its latest consumer drone, the Air 3S, won’t currently be sold at retail as a result.
“A customs-related issue is hindering DJI’s ability to import select drones into the United States.”
That’s not because the United States has suddenly banned DJI drones — rather, DJI believes the import restrictions are “part of a broader initiative by the Department of Homeland Security to scrutinize the origins of products, particularly in the case of Chinese-made drones,” according to DJI.
DJI recently sent a letter to distributors with one possible reason why DHS is stopping some of its drones: the company says US Customs and Border Protection is citing the Uyghur Forced Labor Prevention Act (UFLPA) as justification for blocking the imports. In the letter, which has been floating around drone sites and Reddit for several days, DJI claims it doesn’t use any forced labor to manufacture drones.
Reuters reported on the letter earlier today; DJI spokesperson Daisy Kong confirmed the letter’s legitimacy to The Verge as well.
In a just-published official blog post, DJI is calling this all a “misunderstanding,” and writes that it’s currently sending documentation to US Customs to prove that it doesn’t manufacture anything in the Xinjiang region of China where Uyghurs have been forcibly detained, that it complies with US law and international standards, and that US retailers have audited its supply chain. DJI claims it manufacturers all its products in Shenzhen or Malaysia.
US Customs and Border Protection didn’t reply to a request for comment.
While the US House of Representatives did pass a bill that would effectively ban DJI drones from being imported into the US, that ban would also need to pass the Senate. Last we checked, the Senate had removed the DJI ban from its version of the must-pass 2025 National Defense Authorization Act (though it did get reintroduced as an amendment and could potentially still make it into the final bill).
DJI says the “customs-related issue” has “primarily impacted” the company’s enterprise and agricultural drones, but has also now “limited us from offering the Air 3S to US customers beyond DJI.com.”
“We are actively working with U.S. Customs and Border Protection to resolve this issue and remain hopeful for a swift resolution,” writes DJI.
The US government has cracked down on DJI drones before, but not in a way that would keep stores from buying them, consumers from purchasing them, or individual pilots from flying them in the United States. Primarily, the US Department of Commerce’s “entity list” keeps US companies from exporting their technology to the Chinese company, and the US has sometimes restricted certain government entities from purchasing new DJI drones.
Even if DJI imports do get banned by Congress, the proposed law suggests existing owners could still use their drones — but the FCC could no longer authorize DJI gadgets with radios for use in the United States, which would effectively block all imports.
Technology
Rampant ransom payments highlight need for urgent action on cyber resiliency
A whopping 69% of organizations have reported paying ransoms this year, according to research by Cohesity, with 46% handing over a quarter of a million dollars or more to cybercriminals. It is hardly the picture of resiliency that is often painted by industry. Clearly, there is a disconnect between cyber resiliency policy and operational capability that urgently needs addressing.
With the advent of Ransomware-as-a-Service platforms and the current global geopolitical situation, organizations face a huge existential threat through destructive cyber attacks that could put them out of business. This gap between confidence and capability needs to be addressed, but in order to do so, those organizations need to recognize there is a problem in the first place.
According to the Global cyber resilience report 2024, which surveyed 3,139 IT and Security Operations (SecOps) decision-makers, despite 77% of companies having a ‘do not pay’ policy, many have found themselves unable to respond and recover from attacks without caving in to ransom demands. In addition, only 2% of organizations can recover their data and restore business operations within 24 hours of a cyberattack – despite 98% of organizations claiming their recovery target was one day.
This clearly indicates that current cyber resilience strategies are failing to deliver when it matters most. Companies have set ambitious recovery time objectives (RTOs), but are nowhere close to building the appropriate effective and efficient investigation and threat mitigation capability needed to rebuild and recover securely. Most organizations treat a destructive cyber attack like a traditional business continuity incident like a flood, fire or electricity loss – recovering from the last backup and bringing back in all the vulnerabilities, gaps in prevention and detection, as well as persistence mechanisms that caused the incident in the first place. The gap between these goals and actual capabilities is a ticking time bomb, leaving businesses vulnerable to prolonged downtime and severe financial losses.
Equally alarming is the widespread neglect of Zero-Trust Security principles. While many companies tout their commitment to securing sensitive data, less than half have implemented multi-factor authentication (MFA) or role-based access controls (RBAC). These are not just best practices; they are essential safeguards in today’s threat landscape. Without them, organizations are leaving the door wide open to both external and internal threats.
As cyber threats continue to evolve, with 80% of companies now facing the threat of AI-enabled attacks, the need for a robust, modern approach to data resiliency is more urgent than ever. Yet, the continued reliance on outdated strategies and the failure to adapt to new threats sets the stage for even greater risks. It’s not even a question of complacency.
Global Head of Cyber Resiliency Strategy at Cohesity.
Building confidence or creating false hope?
With 78% of organizations claiming that they are confident in their cyber resilience capability, this infers that a lot of work has already been done in creating the process and technology to not just isolate attacks but also have the ability to recover a trusted response capability to investigate, mitigate threats and recover. This would be great if true, but we are seeing a real disconnect between perception and reality when it comes to cyber resilience.
That’s a big concern. The financial impact of these failures is not limited to ransom payments alone. The true cost of inadequate cyber resilience extends far beyond the immediate outlay. Prolonged downtime, loss of customer trust, criminal prosecutions for false attestations around the quality of security controls or paying ransoms to sanctioned entities, brand damage, and skyrocketing cyber insurance premiums are just a few consequences that can damage an organization. It’s a sobering reminder that investing in and testing robust cyber resiliency measures upfront is far more cost-effective than dealing with the fallout of a successful attack.
Moreover, the report reveals that only 42% of organizations have the IT and Security capabilities to identify sensitive data and comply with their regulatory requirements. This deficiency exposes companies to significant fines and undermines their ability to prioritize protecting the very data that is the lifeblood of their organization and is subject to regulatory obligations.
With the expected rise of AI-enhanced cyberattacks adding another layer of capability to cyber adversaries, organizations with traditional defenses will have their work cut out. They are no match for these effective and high-efficient threats, which can adapt and evolve faster than most organizations can respond. Organizations need AI-tools to counter these emerging AI-driven threats.
Identify a problem to fix a problem
The report ultimately reveals opportunities for improvement. People, processes, and tools do exist to reverse these trends and close gaps to shore up cyber resilience. Still, organizations need to understand where they currently sit regarding resiliency and be honest with themselves.
The right workflow collaboration and platform integration between IT and Security needs to be developed before an incident. Organizations must engage in more realistic and rigorous threat modelling, attack simulations, drills and tests to understand their strengths and weaknesses. This can ensure that the response and recovery process is effective and that all stakeholders are familiar with their roles during an incident or can identify shortcomings and areas for improvement.
In addition, automated testing of backup data can verify the integrity and recoverability of backups without manual intervention. This automation helps ensure that backups are reliable and can be restored quickly when needed.
Finally, maintaining detailed documentation and recovery playbooks helps ensure everyone knows their responsibilities and what steps to take during an incident. These playbooks should be regularly updated based on changes in adversary behavior and the results of testing and drills.
And this is just a start. To fully reduce operational risk, a transition to modern data security and management processes, tools, and practices is required. Perhaps then, we will see a reduction in ransom payments and a cyber resilience confidence built on reality.
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This article was produced as part of TechRadarPro’s Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro
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