What We Learned From Apple’s New Privacy Labels

Photo: REUTERS
Photo: REUTERS
TT

What We Learned From Apple’s New Privacy Labels

Photo: REUTERS
Photo: REUTERS

We all know that apps collect our data. Yet one of the few ways to find out what an app does with our information involves reading a privacy policy.

Let’s be real: Nobody does that.

So late last year, Apple introduced a new requirement for all software developers that publish apps through its App Store. Apps must now include so-called privacy labels, which list the types of data being collected in an easily scannable format. The labels resemble a nutrition marker on food packaging.

These labels, which began appearing in the App Store in December, are the latest attempt by tech designers to make data security and digital privacy, which are linked, easier for all of us to understand. You might be familiar with earlier iterations, like the padlock symbol in a web browser. A locked padlock tells us that a website is more secure, while an unlocked one suggests that a website can be more susceptible to attack.

The question is whether Apple’s new labels will influence the choices people make. “After they read it or look at it, does it change how they use the app or stop them from downloading the app?” asked Stephanie Nguyen, a research scientist who has studied user experience design and data privacy.

To put the labels to the test, I pored over dozens of apps. Then I focused on the privacy labels for the messaging apps WhatsApp and Signal, the streaming music apps Spotify and Apple Music and, for fun, MyQ, the app I use to open my garage door remotely.

I learned plenty. The privacy labels showed that apps that appear identical in function can vastly differ in how they handle our information. I also found that lots of data gathering is happening when you least expect it, including inside products you pay for.

But while the labels were often illuminating, they sometimes created more confusion.

How to Read Apple’s Privacy Labels
To find the new labels, iPhone and iPad users with the latest operating system (iOS and iPadOS 14.3) can open the App Store and search for an app. Inside the app’s description, look for “App Privacy.” That’s where a box appears with the label.

Apple has divided the privacy label into three categories so we can get a full picture of the kinds of information that an app collects. They are:

Data used to track you. This information is used to follow your activities across apps and websites. For example, your email address can help identify that you were also the person using another app where you entered the same email address.

Data linked to you: This information is tied to your identity, such as your purchase history or contact information. Using this data, a music app can see that your account bought a certain song.

Data not linked to you: This information is not directly tied to you or your account. A mapping app might collect data from motion sensors to provide turn-by-turn directions for everyone, for instance. It doesn’t save that information in your account.

Now let’s see what these labels revealed about specific apps.

WhatsApp vs. Signal
On the surface, WhatsApp, which is owned by Facebook, appears to be nearly identical to Signal. Both offer encrypted messaging, which scramble your messages so only the recipient can decipher them. Both also rely on your phone number to create an account and receive messages.

But their privacy labels immediately reveal how different they are under the hood.

The labels immediately made it clear that WhatsApp taps far more of our data than Signal does. When I asked the companies about this, Signal said it made an effort to take less information.

For group chats, the WhatsApp privacy label showed that the app has access to user content, which includes group chat names and group profile photos. Signal, which does not do this, said it had designed a complex group chat system that encrypts the contents of a conversation, including the people participating in the chat and their avatars.

For people’s contacts, the WhatsApp privacy label showed that the app can get access to our contacts list; Signal does not. With WhatsApp, you have the option to upload your address book to the company’s servers so it can help you find your friends and family who are also using the app. But on Signal, the contacts list is stored on your phone, and the company cannot tap it.

“In some instances it’s more difficult to not collect data,” Moxie Marlinspike, the founder of Signal, said. “We have gone to greater lengths to design and build technology that doesn’t have access.”

A WhatsApp spokeswoman referred to the company’s website explaining its privacy label. The website said WhatsApp could gain access to user content to prevent abuse and to bar people who might have violated laws.

When You Least Expect It
I then took a close look at the privacy label for a seemingly innocuous app: MyQ from Chamberlain, a company that sells garage door openers. The MyQ app works with a $40 hub that connects with a Wi-Fi router so you can open and close your garage door remotely.

Why would a product I paid for to open my garage door track my name, email address, device identifier and usage data?

The answer: for advertising.

Elizabeth Lindemulder, who oversees connected devices for the Chamberlain Group, said the company collected data to target people with ads across the web. Chamberlain also has partnerships with other companies, such as Amazon, and data is shared with partners when people opt to use their services.

In this case, the label successfully caused me to stop and think: Yuck. Maybe I’ll switch back to my old garage remote, which has no internet connection.

Spotify vs. Apple Music
Finally, I compared the privacy labels for two streaming music apps: Spotify and Apple Music. This experiment unfortunately took me down a rabbit hole of confusion.

These look different from the other labels featured in this article because they are just previews — Spotify’s label was so long that we could not display the entirety of it. And when I dug into the labels, both contained such confusing or misleading terminology that I could not immediately connect the dots on what our data was used for.

One piece of jargon in Spotify’s label was that it collected people’s “coarse location” for advertising. What does that mean?

Spotify said this applied to people with free accounts who received ads. The app pulls device information to get approximate locations so it can play ads relevant to where those users are. But most people are unlikely to comprehend this from reading the label.

Apple Music’s privacy label suggested that it linked data to you for advertising purposes — even though the app doesn’t show or play ads. Only on Apple’s website did I find out that Apple Music looks at what you listen to so it can provide information about upcoming releases and new artists who are relevant to your interests.

The privacy labels are especially confusing when it comes to Apple’s own apps. That’s because while some Apple apps appeared in the App Store with privacy labels, others did not.

Apple said only some of its apps — like FaceTime, Mail, and Apple Maps — could be deleted and downloaded again in the App Store, so those can be found there with privacy labels. But its Phone and Messages apps cannot be deleted from devices and so do not have privacy labels in the App Store. Instead, the privacy labels for those apps are in hard-to-find support documents.

The result is that the data practices of Apple’s apps are less upfront. If Apple wants to lead the privacy conversation, it can set a better example by making language clearer — and its labeling program less self-serving. When I asked why all apps shouldn’t be held to the same standards, Apple did not address the issue further.

Ms. Nguyen, the researcher, said a lot had to happen for the privacy labels to succeed. Other than behavioral change, she said, companies have to be honest about describing their data collection. Most important, people have to be able to understand the information.

“I can’t imagine my mother would ever stop to look at a label and say, ‘Let me look at the data linked to me and the data not linked to me,’” she said. “What does that even mean?”

(The New York Times)



AI to Track Icebergs Adrift at Sea in Boon for Science

© Jonathan NACKSTRAND / AFP
© Jonathan NACKSTRAND / AFP
TT

AI to Track Icebergs Adrift at Sea in Boon for Science

© Jonathan NACKSTRAND / AFP
© Jonathan NACKSTRAND / AFP

British scientists said Thursday that a world-first AI tool to catalogue and track icebergs as they break apart into smaller chunks could fill a "major blind spot" in predicting climate change.

Icebergs release enormous volumes of freshwater when they melt on the open water, affecting global climate patterns and altering ocean currents and ecosystems, reported AFP.

But scientists have long struggled to keep track of these floating behemoths once they break into thousands of smaller chunks, their fate and impact on the climate largely lost to the seas.

To fill in the gap, the British Antarctic Survey has developed an AI system that automatically identifies and names individual icebergs at birth and tracks their sometimes decades-long journey to a watery grave.

Using satellite images, the tool captures the distinct shape of icebergs as they break off -- or calve -- from glaciers and ice sheets on land.

As they disintegrate over time, the machine performs a giant puzzle problem, linking the smaller "child" fragments back to the "parent" and creating detailed family trees never before possible at this scale.

It represents a huge improvement on existing methods, where scientists pore over satellite images to visually identify and track only the largest icebergs one by one.

The AI system, which was tested using satellite observations over Greenland, provides "vital new information" for scientists and improves predictions about the future climate, said the British Antarctic Survey.

Knowing where these giant slabs of freshwater were melting into the ocean was especially crucial with ice loss expected to increase in a warming world, it added.

"What's exciting is that this finally gives us the observations we've been missing," Ben Evans, a machine learning expert at the British Antarctic Survey, said in a statement.

"We've gone from tracking a few famous icebergs to building full family trees. For the first time, we can see where each fragment came from, where it goes and why that matters for the climate."

This use of AI could also be adapted to aid safe passage for navigators through treacherous polar regions littered by icebergs.

Iceberg calving is a natural process. But scientists say the rate at which they were being lost from Antarctica is increasing, probably because of human-induced climate change.

 


AMD Predicts Weaker First-Quarter Sales, Shares Plunge on Nvidia Comparisons

An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
TT

AMD Predicts Weaker First-Quarter Sales, Shares Plunge on Nvidia Comparisons

An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)
An AMD logo and a computer motherboard appear in this illustration created on August 25, 2025. (Reuters)

Advanced Micro Devices on Tuesday forecast a slight decline in quarterly revenue, raising concerns about whether it ​can effectively challenge Nvidia in the booming AI market and sending its shares tumbling 8% in after-hours trade.

The lackluster prediction comes despite an unexpected boost from sales of certain artificial intelligence chips to China, which began in the last quarter after the Trump administration approved a license for orders that AMD received in early 2025.

And without those sales to China which generated $390 million, AMD's data-center segment would have missed estimates for the fourth quarter.

AMD said it expects revenue of about $9.8 billion this quarter, plus or minus $300 million. That's down from $10.27 billion in the fourth-quarter which was up 34% year-on-year and ahead of LSEG ‌estimates for $9.67 billion.

PALES ‌NEXT TO NVIDIA

Though AMD is seen as one of the ‌few ⁠contenders ​that can seriously ‌challenge Nvidia, investors noted the stark contrast between the two companies' performances. AMD expects an adjusted gross margin of 55% this quarter. Nvidia has said it expects adjusted gross margin in the mid-70% range during its fiscal 2027.

"The expectations for large blowout quarters for AI-related hardware companies have skewed what the market is looking for," said Bob O'Donnell, president of TECHnalysis Research.

The forecast for the current first quarter includes $100 million from sales to China, where the situation remains "dynamic," AMD CEO Lisa Su said on a conference call with investors.

The US government ⁠has placed restrictions on the exports of advanced chips to China, but AMD received licenses to sell modified versions of its MI300 series ‌of AI chips there. Its MI308 chip competes with Nvidia's H20 ‍chip in China.

OPENAI SALES

AMD has accelerated its ‍product launches and is moving into selling full AI systems to better compete against Nvidia, which now ‍provides "rack-scale" systems that combine GPUs, CPUs and networking gear.

Last year, it entered into a multi-year deal to supply AI chips to ChatGPT-owner OpenAI, which would bring in tens of billions of dollars in annual revenue and give the startup the option to buy up to roughly 10% of the chipmaker.

Su reiterated on Tuesday that the company ​expects sales of a new flagship AI server to OpenAI and others to rise rapidly in the second half of this year, saying a global memory-chip crunch will not ⁠slow its plans.

"I do not believe that we will be supply-limited in terms of the ramp that we put in place," Su said.

BEYOND OPENAI

As Big Tech and governments across the globe double down on investing in AI hardware, shares in Santa Clara, California-based AMD have doubled since the start of 2025, outperforming a 60% bump in the broader chip index.

But analysts remain concerned that AMD's success remains tied to a handful of customers that rivals such as Nvidia could try to poach. Reuters reported this week that Nvidia made a $20 billion move to hire most of chip startup Groq's founders after OpenAI held chip supply discussions with the startup.

"Growth appears concentrated in large deployments and specific regions, and China shipments are significant enough to influence a quarter," said eMarketer analyst Gadjo Sevilla.

Revenue in AMD's key data-center segment grew 39% to $5.38 billion in the ‌fourth quarter. But excluding sales of the MI308, which is a data-center chip, that revenue would have been $4.99 billion, below estimates of $5.07 billion.


Switch 2 Sales Boost Nintendo Results but Chip Shortage Looms

This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
TT

Switch 2 Sales Boost Nintendo Results but Chip Shortage Looms

This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)
This photo taken on November 4, 2025 shows a woman taking photos of a Super Mario figure at the Nintendo Tokyo store in Tokyo. (AFP)

The runaway success of the Switch 2 console drove up Nintendo's net profit by more than 50 percent in the nine months to December, the Japanese video game giant said Tuesday.

But a global memory chip shortage, created by frenzied demand for artificial intelligence hardware, could push up manufacturing costs.

The Switch 2 became the world's fastest-selling games console after launching to a fan frenzy last summer.

It is the successor to the original Switch, which soared in popularity during the pandemic when games such as "Animal Crossing" struck a chord during long lockdowns.

Both are hybrid devices that can be connected to a TV or used on-the-go.

In April-December, net profit jumped 51.3 percent year-on-year to 358.9 billion yen ($2.3 billion), and revenue nearly doubled on-year to 1.9 trillion yen, Nintendo said.

But the firm kept its annual unit sales target for the Switch 2 steady at 19 million, and also held its full-year net profit forecast of 350 billion yen.

"Nintendo Switch 2 got off to a good start following its launch on June 5 and unit sales continued to grow through the holiday season," the company said.

Nearly 17.4 million Switch 2 devices were sold in the nine-month period, it added.

"Maintaining momentum is certainly a big focus for Nintendo," Krysta Yang of the Nintendo-focused Kit and Krysta Podcast told AFP.

A lack of heavy-hitting first-party new games for the Switch 2 in coming months risks hindering growth, although third-party titles such as "Resident Evil Requiem" should help fill the gap, she said.

Nintendo said Tuesday it planned to release "Mario Tennis Fever" this month and "Pokemon Pokopia" in March.

While the firm is diversifying into hit movies and theme parks, consoles remain the core of its business.

The Switch 1 has now sold 155.37 million units -- overtaking the Nintendo DS console to be its best-selling hardware of all time.

But soaring prices for memory chips, used in gaming consoles as well as phones, laptops and other electronics, will likely be a headwind for the company.

Their prices have been pushed up as chipmakers focus on producing the advanced memory chips in huge demand to power AI data centers.

"Nintendo and other console manufacturers are publicly keeping quiet about the impact of the shortage," gaming industry consultant Serkan Toto told AFP.

But "users can forget the past when consoles always became cheaper in tandem with component costs falling over time", with price hikes potentially on the way in 2026, he said.

Yang said she thought a price increase for the Switch 2 "is not out of the question" but added that Nintendo "would likely exhaust all other options" before doing so.