Thursday, January 30, 2025

Your Weight Loss App Might Be Spying on You, Here’s What You Need to Know!

According to an analysis of 15 most popular weight control apps, it was found that most of them collected 13 types of data with Noom app being the most data hungry. Noom app is one of the most popular weight control apps on the App Store with 65% of downloads from the UK and US only. 5% of downloads of Noom app are from South Korea, Germany and Canada. Apple has defined 35 total data collection categories and Noom collects data from 22 of these categories. The analysis also shows that 15 apps which have been analyzed collect 53% of the more unique data than average.

Many apps do tracking which refers to linking data collected from the app to third parties which is then used for advertising or sharing data with data brokers. 47% of the apps analyzed use unique data types for tracking, with Noom standing out among other apps. The only app among 15 apps which do not collect data to track users is Calorie Counter+. Most apps which were analyzed engage in above-average user tracking with five apps (Noom, Lose It!, Simple, WeightWatchers and Fastic) raising more concerns about user privacy.

Beyond Noom, other apps also collect a substantial amount of unique data. Cronometer and Simple gather 17 unique data types, while Fastic collects 16. In contrast, apps like YAZIO, BodyFast, and Eato® collect fewer unique data types, staying under ten. Interestingly, even apps with high data collection do not always track users extensively—Cronometer, for instance, gathers 17 data types but tracks only three, while MyFitnessPal tracks just two despite collecting 10 unique data types.
These apps use different types of user data like email addresses, photos, videos and even more sensitive information which some apps state as “Other data types”. HitMeal and MyNetDiary are some apps which can track user data by giving it the name of “Other data types”. HitMeal makes 13% of downloads in the UK and 57% of downloads in the US on the App Store. On the other hand, MyNetDiary has 13% downloads in the UK and 54% of the downloads in the US.


App Name Data Used to Track Collected Unique Data Types
Noom Weight Loss, Food Tracker 7 22
Fastic AI Food Calorie Scanner 6 16
Calorie Counter - MyNetDiary 5 11
HitMeal Calorie & Food Tracker 5 11
Simple: Weight Loss Coach 5 17
Lose It! – Calorie Counter 4 14
WeightWatchers Program 4 13
Cronometer: Calorie Counter 3 17
MyFitnessPal: Calorie Counter 2 10
BodyFast: Intermittent Fasting 2 9
YAZIO Calorie Counter & Diet 1 9
Eato®: AI Calorie Counter 1 8
Foodvisor - Calorie Counter 1 13
Lifesum Food & Calorie Tracker 1 7
Calorie Counter + 0 14

H/T: Surfshark

Read next: Navigating the Future: How Small Businesses Are Investing in Technology for Growth
by Arooj Ahmed via Digital Information World

Meta’s Latest Earnings Results for Q4 of 2024 Show a New High of 3.35 Billion Active Users

Tech giant Meta just shared its latest earnings results for the final quarter of 2024.

The company has clearly reached a strong position under the leadership of Mark Zuckerberg as proven by the findings. For starters, Meta was able to add more active users in the final quarter of last year. This hit a new high of 3.35 billion people throughout all of its apps.


A lot of credit goes to its Threads platform which saw new incoming users while Facebook continued to remain steady in terms of popularity. Instagram has more people on the app than Facebook when it comes to the EU region. Still, as a whole, Meta is expanding its audience and really giving many people the chance to make money. This includes marketers waiting for more advertising dollars.

Meta also shared how its Threads ads experiment was designed to further build upon this opportunity. The company saw a huge $48.3 billion rise in the final quarter’s revenue which took the average to $164 billion for the entire year. In terms of comparison, Meta was able to bring in $134 billion in the year before so the growth is definitely major.

The major share of the firm’s intake arrives from ads while other bets are still trying to make a mark in the industry. Still, other sectors did add to the overall revenue. For instance, Reality Labs’ AR and VR hit a new record for revenue earnings last quarter.

More users were interested in purchasing its VR products and Ray-Ban glasses. That’s very true as sales for Ray Ban ended up going above and beyond the usual expectations. They will still be a major leader to the firm’s bottom line as functionality grows.

Similarly, the Quest app hit a new high in the App Store charts thanks to the festive period as many were busy purchasing Quest units at this time. While money continues to be lost during that time, there is certainly hope and promise attached to the firm’s grand vision and how more investments can give rise to new opportunities for growth.

VR might be where the future potential for growth lies as there’s no arch rival yet in this sector, for now. The general revenue grew 22% YoY but right now is the right time for the firm to make serious investments for the future.

Facebook’s parent firm is certainly getting smarter with ads too as they keep presenting more and more of them through the in-stream feed. This is right before you consider Threads which stands at 300 million and keeps on rising. It’s a great chance for Meta to promote its offerings to new users. We did see another update where Zuckerberg spoke about Threads hitting 320 million active users which can certainly result in a bigger boost of revenue on a per-user basis for revenue generation.

Read next: Millions of Google Chrome Users Face Privacy Risks as AI Extensions Collect Sensitive Data Without Consent
by Dr. Hura Anwar via Digital Information World

Wednesday, January 29, 2025

Millions of Google Chrome Users Face Privacy Risks as AI Extensions Collect Sensitive Data Without Consent

Google’s Chrome browser isn’t exactly known for its privacy protections. Google has also been accused of leveraging its monopoly to interfere with web standards and has, understandably, fought tooth and nail to stop the use of ad blockers on its browser and across the web. “Understandably,” because Google doesn’t make money from selling its browser, it makes money through advertising.

Perversely, Chrome users may be justified in expecting Google to at least protect their private data from third parties. Google collects this data for its own purposes, so it seems reasonable to expect it to protect its spoils from others. Recent revelations have shattered even that illusion, though.

At the very end of 2024, it was revealed that at least 35 Chrome extensions—many coming from reputable developers—were compromised, potentially exposing the data of over 2.6 million users. This is a very concrete example of the risks involved in installing Chrome extensions: Chrome may well be secure (even if not private), but extensions can effectively undermine that security.

Incogni’s researchers analysed the privacy risk posed by “AI-powered” Chrome extensions, using various metrics to develop a ranking. They focused on extensions claiming some sort of connection to so-called AI partly because of the incredible boom this niche is experiencing. The “AI Chrome extension” market was valued at $1.5 billion in 2023 and is projected to reach $7.8 billion in value by 2031.

With growth like this and very few checks and balances in place, the stage is set for potential abuse. And with personal data said to be worth more than crude oil, any abuse is likely to be focused on harvesting user data. Raising awareness of the risks is a crucial first step towards reining in sectors of the market like this one.

To this end, Incogni’s researchers analyzed a subset of 238 so-called AI Chrome extensions to estimate the privacy risk associated with each one. To do this, they employed five key metrics: the data collected by these extensions, the permissions required, the sensitive permissions required, the “risk impact,” and the “risk likelihood.”


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Information concerning the data collected by these extensions is based on self-reporting by the extensions’ publishers, so it’s safe to assume that these numbers may even be higher in reality. Collected data points fell into one of nine categories: personally identifiable information (PII), financial and payment information, authentication information, personal communications, location data, web history, user activity, website content, and health information.

Permissions required included only those permissions that the extensions requested at the time of installation, they can always request additional permissions during updates. So, again, these numbers represent the minimum number of permissions that these extensions can require. Permissions fell into one of two categories: sensitive permissions and non-sensitive permissions. It’s the sensitive ones that represent the greater risk, so they were weighted more heavily in determining the rankings.

The numbers of data points collected were also weighed more heavily in Incogni’s calculations: they and the numbers of sensitive permissions required were multiplied by a factor of 2 to reflect the outsized privacy threats they represent.

The “risk impact” and “risk likelihood” metrics were taken from Chrome-Stats. Risk impact speaks to the damage an extension could do if it was turned against its users, whether by the current owner, a new owner or a malicious third party. It’s based on the number of permissions required. Risk likelihood is an attempt at quantifying the probability that an extension turns malicious. It’s based on an analysis of each extension’s and publisher’s reputation on Google’s Chrome Web Store.

So an extension with a high risk impact and low risk likelihood could do a lot of damage—for example by exposing a lot of personal information—but isn’t likely to do so, given its publisher’s reputation on the Chrome Web Store. But as the recent Chrome-extension hacks have shown, even a legitimate, reputable extension publisher can have its extension compromised.

Image: Incogni

Looking at Incogni’s ranking of just the most popular extensions (those with user bases of at least 2 million people each), we can see the outsize effect that data collected and sensitive permissions have on privacy risk.

The most and third-most privacy-invasive popular “AI-powered” Chrome extensions in Incogni’s study—“DeepL: AI translator and writing assistant” and “Sider: ChatGPT Sidebar + GPT-4o, Claude 3.5, Gemini 1.5 & AI Tools”—each required four sensitive permissions. “DeepL: AI translator and writing assistant” required, among others, the scripting and webRequest permissions, potentially allowing the extension to inject code into websites and intercept, block, and modify requests in flight. “Sider: ChatGPT Sidebar + GPT-4o, Claude 3.5, Gemini 1.5 & AI Tools” (yes, that’s all one name) required, among others, the sensitive all_urls permission, which can allow this extension to run on all pages the user’s browser opens.

The second-most privacy-invasive popular extension, “AI Grammar Checker & Paraphraser – LanguageTool,” collects 5 data points and requires two sensitive permissions: scripting and activeTab. The activeTab permission grants extensions temporary access to the currently active browser tab.

Head of Incogni, Darius Belejevas, had this to say:

Our web browsers have become like mini operating systems in and of themselves—there’s so much we do in our browsers, whether on websites or through web apps, that they’ve become both critical and invisible to us at the same time. Browsers vary a lot in how well they respect users’ privacy, but all the major browsers are reasonably secure when it comes to protecting user data from third parties. That is, until users start effectively bypassing security measures by installing add-ons or extensions that require excessive or risky permissions.

Adding:

Our latest research shows how even a secure browser like Chrome can expose users’ personal information to third parties if special care isn’t taken when installing extensions. AI extensions might be particularly risky simply because they’re so popular right now, and most are new-to-market, making assessing their trustworthiness more difficult. There’s also the sad fact that even the most trustworthy extensions can be compromised by bad actors.

Incogni’s full analysis (including public dataset) can be found here.

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by Irfan Ahmad via Digital Information World

Navigating the Future: How Small Businesses Are Investing in Technology for Growth

By: Chris Shank, Vice President, Verizon Business. Edited by Web Desk

Small businesses have historically been cautious about technology investments, often sticking to familiar, essential areas to stay within budget. However, recent years have brought dramatic change. To keep up with shifting customer preferences, supply chain challenges, and a rapidly evolving marketplace, small businesses (SMBs) are increasingly moving online. This digital transformation has required a new level of technology investment, helping SMBs remain competitive and meet customers where they are. Over the past year, the necessity for this shift has only become more urgent.

Strengthening small business growth through digital transformation

As small businesses embrace digital operations, technology investment is on the rise across industries. According to Verizon Business’ 2024 State of Small Business Survey, SMB technology spending has surged, with 38% of businesses adding online and digital functions just in the past year. A key factor in this shift has been the improvement of internet infrastructure, with 66% of small businesses upgrading their bandwidth—demonstrating that reliable, high-speed internet is essential for any online operation.

With stronger internet capabilities, SMBs are ramping up their online presence to better engage today's digital consumers, particularly through social media. A large majority (84%) of small businesses use Facebook to promote products and connect with customers. Beyond Facebook, businesses are diversifying their digital marketing strategies, leveraging platforms like Instagram (67%), LinkedIn (64%), YouTube (64%), TikTok (57%), and X (54%) to broaden their reach. For over half (54%) of SMBs, social media marketing remains a top customer engagement strategy.

In fact, social media has evolved beyond a promotional tool into a direct sales channel. Thirty-nine percent of small businesses have set up social media storefronts—a notable 8% increase from the previous year. These storefronts enable businesses to meet customers where they want to shop, directly on social platforms, streamlining the purchase process. By allowing consumers to shop directly from these platforms, businesses remove a barrier to entry, making it easier for customers to make purchases without navigating away from their social feeds.

Despite the benefits, many small businesses are still navigating the complexities of social media marketing. In fact, 76% of SMBs say that free social media marketing courses would be the most beneficial resource for their business, underscoring the need for practical guidance as they evolve their digital strategies.

Small businesses accelerate AI adoption to drive growth

While small businesses have traditionally been slow to adopt artificial intelligence (AI) due to concerns about the risks of emerging technologies—such as the potential for AI to open them up to cyberattacks—this trend is shifting. AI adoption among SMBs surged over the past year, with 39% of small businesses reporting they use AI in 2024, compared to just 14% the previous year.

The increase in AI usage is driven by greater accessibility and a growing understanding of the technology's business applications. However, security concerns persist. While small business owners are recognizing AI’s benefits, they remain cautious about its potential risks. Despite these worries, there is little evidence suggesting AI itself poses a major security threat.

For instance, the 2024 Data Breach Investigations Report (DBIR) found no observed incidents linked to generative AI within its dataset, which reflects the prior year’s findings. Although generative AI has vulnerabilities and is often leveraged by threat actors to amplify cyberattacks—such as enhancing phishing campaigns or pretexting efforts—it has not yet emerged as a prominent factor in documented incidents. This underscores a key point: while concerns about the security risks of generative AI are valid, the tangible threats remain more nuanced and, as of now, less prevalent than widely perceived.

Despite these concerns, the benefits of AI for small businesses are significant. Nearly a quarter (24%) of small business owners use AI to combat cyberattacks, and 42% are considering it for cybersecurity purposes. Beyond security, AI is helping businesses save valuable time. Two-thirds (67%) of small businesses report that AI enables them to focus on their core business by automating time-consuming tasks—a 22-point increase from last year.

AI is proving particularly useful in marketing and social media. Nearly a third (30%) of small businesses use AI to enhance their marketing strategies, a 16-point increase from the previous year. With 42% of businesses considering AI for social media and marketing, this trend is likely to continue growing.

Why the technology investment uptick now?

Over the past five years, the shift to online shopping and cloud-based operations has been significant. While there has been a slight return to in-person experiences recently, the overall digital landscape remains stronger than ever. So, why did technology investment and AI adoption among SMBs see such a pronounced uptick this year?

One answer lies in the economy. Although inflation (83%) and concerns about the U.S. economy (84%) weigh heavily on small businesses, many remain optimistic about their future. In fact, 59% of SMBs believe the overall state of their business will improve in the next year. This cautious optimism could be driving the surge in technology investments—businesses are confident enough to invest but feel the need to adapt to an evolving landscape to stay competitive.

For small businesses, investing in technology is a smart move. Upgrading internet bandwidth can streamline operations, while AI can boost efficiency. Unlike larger companies, SMBs have the advantage of agility and can quickly integrate new technologies. Leveraging this flexibility will help them not only weather economic challenges but also position themselves to capitalize on emerging opportunities.

Image: DIW-Aigen
by Unknown via Digital Information World

Projected Growth in Tech Sectors: Blockchain And AI Drive Massive Expansion Through 2030

Data by AltIndex (based on Statista Market Insights and Fortune Business Insights) suggests that the AI market is going to grow up to 350% by 2030 which is about 2.5 times more than cloud computing and six times more than the robotics sector. Artificial intelligence has become a crucial part of many tech innovations in the past two years and it has been helping in the growth of many industries. Analysts are also expecting a lot of AI growth in 2025, followed by growth of cloud computing and robotics. These three markets are going to be crucial in shaping the market in the upcoming years, but AI is going to see far more growth than the other two sectors.

AI has grown a lot in the past five years, with its market value reaching $240 billion with 370 million users worldwide. Nvidia is the largest contributor for AI which has resulted in a growth in users, revenue and investments. IEEE’s survey called Impact of Technology in 2025 which was taken among 350 CIOs, IT Directors and CTOs of large companies and 58% of them said that AI is going to become the most important technology in 2025. 26% named cloud computing as the most important technology 24% named robotics the most important technology in 2025.

Statista Market Insights survey also says that AI is going to grow 350% by 2030 and will have a revenue of $826 billion by the end of this decade. On the other hand, there will be a 133% growth in cloud computing while 58% growth will be seen in the robotics sector by 2030. Semiconductors are set to grow 60%, IT devices will grow 14%, and IT devices and software will see 32% and 27% growth by 2030 respectively. All of the growth in all these tech sectors is going to be way slower than AI growth.

The only sector which is giving tough competition to AI is blockchain/Web 3, which is expected to grow 2870% by 2030 with revenue reaching $825 billion. AI is also going to have a major effect on GDP growth and global economy, with 9.5% growth expected in the next five years. In the best case scenario, AI can contribute to 11.41% global GDP while in the worst scenario, it can still boost 8.81% GDP growth.

Blockchain/Web 3 will grow 2870%, competing with AI’s 350% growth, making a significant impact by 2030.

Projected Growth Across Key Tech Sectors (2024–2030) Percentage
Blockchain/Web 3 2870%
AI 350%
Public cloud 133%
IoT 64%
Semiconductors 61%
Robotics 58%
Data centers 50%
Cybersecurity 46%
IT services 32%
Software 27%
IT Devices 14%

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by Arooj Ahmed via Digital Information World

Elon Musk’s X Launches Digital Wallet and Peer-To-Peer Payments by Visa

Elon Musk’s goal of transforming X into a financial platform is finally becoming a reality.

X just launched its own digital wallet with peer-to-peer Visa services. The company struck the mega-deal with the biggest credit card network across America yesterday. Now, it is Visa’s first X Money account partner.

The great news was shared by CEO Linda Yaccarino through a post published on X where she provided more details about the breakthrough deal. This means X users can transfer funds from bank accounts and the app’s digital wallet. They can even take part in fast peer-to-peer payments through either Venmo or Zelle.

This is the first concrete move from the app to design a fabulous financial ecosystem. Musk has been working hard to bring this vision to life for a while now but was awaiting clearances which was a struggle. But it seems like the tide is finally turning in his favor of X being an ‘everything’ platform.

Musk also shared previously how he wanted more and more users to use X as their reliable financial world. We do remember that a while back, Twitter tried to roll out a feature for tips through Bitcoin. Users had the option to include crypto wallet addresses and get payments across the world’s biggest digital token. To actually get the status of transforming into a money service company needed far greater navigation as the landscape was more complex.

This is why Musk tried and failed several times to attain licensees for operations in the US. today, it’s licensed across 41 different American states and even registered with FinCEN.

The company is said to roll out in the first quarter and deals with various financial partners were on the horizon as per one person having knowledge about this situation. One leading use of this option is to give creators on websites the chance to accept payments and store money without any external firm being included.

Towards the end of 2022, Musk shared how the app’s advertisers could soon witness this brilliant feature of upcoming payments. It could offer some great banking offerings like a financial account having a high yield. Now, it seems that goal is a reality.

Image: DIW-AIgen

Read next: Meta in Panic Mode? DeepSeek’s AI Breakthrough Sends Shockwaves Through Silicon Valley
by Dr. Hura Anwar via Digital Information World

Meta in Panic Mode? DeepSeek’s AI Breakthrough Sends Shockwaves Through Silicon Valley

Meta has set up four internal teams to figure out how DeepSeek, a small Chinese AI startup, managed to roll out an AI assistant that’s already being called game-changing and impressive. DeepSeek’s latest chatbot model, R1, is said to be on par with top tier AI models like ChatGPT but at a fraction of the cost. The newest large language model on the block not only optimized compute usage but also open sourced the model which makes the competition in the AI space even more intense.

Industry insiders think Meta’s Llama models might have been the inspiration for DeepSeek. Given Llama is open sourced and so widely used, it’s possible some of the design elements were borrowed. But the performance and cost efficiency of the new Chinese model has Meta surprised.

According to insider reports, Meta’s AI infrastructure director, Mathew Oldham, has expressed concerns internally that DeepSeek’s model might even surpass the forthcoming iteration of Llama AI. This has put Meta in a race to close the gap before its own next-generation system arrives, which CEO Mark Zuckerberg previously hinted could launch in early 2025.

Inside Meta’s Response Strategy

Among the four specialized teams Meta has deployed, two are focused on deciphering how High-Flyer Capital Management - the hedge fund backing DeepSeek - managed to drastically cut training and operational costs for the model. The objective is to identify cost-reduction strategies that could be integrated into Meta’s AI projects.

A third team is examining the dataset DeepSeek used to train its model, aiming to understand whether unique data sources contributed to its efficiency. Meanwhile, the fourth group is assessing potential structural improvements for Llama based on DeepSeek’s architecture.
Despite the competitive challenge, Zuckerberg has not publicly addressed DeepSeek’s rapid emergence. However, in a recent Facebook update, he reaffirmed that Meta’s upcoming Llama iteration would set a new industry benchmark upon release. He also disclosed plans to allocate $65 billion toward AI advancements in 2025, underscoring the company’s commitment to staying ahead in the generative AI race.

Meta’s Leadership Reacts

Yann LeCun, Meta’s chief AI scientist, addressed concerns on LinkedIn, maintaining a composed stance. He argued that DeepSeek’s advancements should not be viewed as a sign of China surpassing the U.S. in AI but rather as a testament to the power of open-source models outperforming proprietary alternatives.

He emphasized that DeepSeek built upon existing open research, demonstrating the collaborative strength of open-source innovation. In his view, the ability of researchers worldwide to iterate on shared knowledge benefits the broader AI ecosystem.

With the AI landscape evolving rapidly, Meta now finds itself in an urgent race - not just to understand DeepSeek’s breakthrough but to ensure its own future models remain competitive in a space where cost efficiency and open-source strategies are increasingly shaping industry leadership.

Image: DIW-Aigen

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