Friday, January 31, 2025

Global AI Safety Report Warns of Cyber Threats, Manipulation, and Weaponization Risks

The first International AI Safety Report is here which was released by Professor Yoshua Bengio and other 100 AI experts and it talked about the future of AI showing potential as well as risks. The report says that AI can bring a lot of advantages to areas like healthcare, education and scientific research which will improve global well being. But the report also highlights that there will be some negative effects of AI too which will vary according to the development made. This report was supported by 30 countries and institutions like UN, OECD and EU and it comprises 298 pages involving insights of experts including Turing Award Winners and Nobel laureates.


Artificial Intelligence Action Summit presented the report and the focus of the report was to create a vision for evolution of AI and how it will be integrated into society. The report addresses some key questions like what is the work of general purpose AI, what are its risks and how can these risks be minimized. The risks of using general purpose AI include its malicious use like manipulation of public opinion, cyberattacks and AI being used in chemical or biological weapon attacks. There are also some systematic risks of using general use AI that have global and environmental impacts. There are some societal, policymaking, management and technological risks that can come with AI development, the report stated.

Bengio said that if AI is developed and used responsibly, it can contribute to economic growth as well as modernize public services which can improve the overall lives of people. But before that, we have to completely understand AI so we can use it for the betterment of society.

Read next:

• AI App Spending Hits $1.42B in 2024, ChatGPT Leads with 274% Growth

• New Study Shows Bots Can Increase Online Engagement but This Can Decrease Human-to-Human Interaction
by Arooj Ahmed via Digital Information World

New Study Shows Bots Can Increase Online Engagement but This Can Decrease Human-to-Human Interaction

In the mid of 2024, Meta announced AI Studio to let users create their own chatbot using AI which can be used for specific tasks like creating social media captions or making them use an avatar. Meta’s VC said that they are also trying to make these AI chatbots exist on the platforms with a proper account having a bio and profile picture. If AI chatbots start to have separate accounts, they can spread false information on social feeds with their automatically generated content. This is spreading concerns about the role of bots on social media platforms and even though Meta has removed some of its AI bots from its platforms, there are still user-generated AI bots there. Firms are also looking for ways to make users interact with AI technologies more because of their heavy investments so they are using AI bots for that. Reddit and X also have many pre-programmed bots that moderate content and interact with users but they are not the AI ones.

According to a new research published in MIS Quarterly, bots are helpful in increasing user engagement but they are also impacting human-to-human interactions on different platforms. There are different types of bots, from simple to advanced, and they perform tasks according to the guidelines given to them. WikiTextBot is a bot on Reddit that replies Wikipedia summaries to posts containing Wikipedia links. These types of bots are known as “reflexive bots” which work because of the application programming interface (API) which allows them to see every post that comes under their area of expertise. There are also some “supervisory bots” on Reddit which moderate posts and delete the ones which are against the community guidelines.

These bots are rigid and only perform tasks according to the guidelines given to them but they can become more advanced if AI technologies get incorporated into them. It is also important to know how these bots can impact human-to-human interaction in online communities. Researchers analyzed some Reddit posts between 2005 and 2019 to know what was the structure of human-to-human interaction in the posts as the bot activity increased on the platform. It was found that increase in reflexive bots that generate and share content also increased human-to-human interaction, but it was also observed that this resulted in fewer human posts and back and forth interaction between humans. Supervisory bots decreased human interactions as well because there were less human moderators who could enforce community laws. Key members used to interact with each other to create and implement community norms and guidelines but this has decreased now because of supervisory bots. AI bots can create new accounts and interact with users, which will result in higher engagement on their platforms but this will come with the cost of human-to-human interaction.

Image: DIW-Aigen

Read next: Cybercrime on the Rise: The Dangers of Phishing Scams and How to Protect Yourself
by Arooj Ahmed via Digital Information World

Apple Tops $124B Revenue: iPhone Slips in China, 2.35B Devices Active, 550M Added in 2024

Apple just shared its very important holiday quarter report, deeming it the best quarter ever for the company.

Revenue crossed $124 billion which was up 4% YOY. However, sales for the iPhone witnessed a drop in China but that was far from what was on the company’s mind. Tim Cook blamed the drop on China’s lack of acceptance of Apple Intelligence as sales went below the expected target of $71 billion.

Meanwhile, the biggest performer for the company was Mac which had a 15% rise while its Services grew to a new high of $26 billion in terms of sales. The company rolled out several new M4 Macs during the quarter that entailed a redesigned version of Mac Mini, not to mention a revamped version of the MacBook Pros.

Sales for the popular iPad went up, hitting the $8 billion mark for the first time since the first quarter of 2023. The firm also shared the launch of its iPad mini towards the end of last year while many of its Tablets flew off the shelves during the festive shopping period. If rumors are said to be true, Apple will also share its latest entry-level iPad during the springtime.

The earnings call shared by Apple's CEO included a lot of fine details that many have been in search of for years. This includes the number of subscriptions which the Cupertino firm tends not to disclose during such earnings calls. This year is different and we’re sure investors are loving the news.

Previous figures stood at 2.2 billion devices which is certainly 400M more than that seen in 2022. Apple’s CEO mentioned how the figure hit a new high last year with over 2.35 billion active devices. As a whole, the install base did rise sharply over the recent past with more than 550M devices.

The iPhone did shrink YoY to $69 billion but it’s still helping the company earn some serious revenue. Cook did share how the arrival of Apple Intelligence did see a positive impact on sales for iPhones but analysts didn’t agree with that.

The figures for total revenue for the first quarter of 2025 stood at $124 billion as the organization hopes to expand more into certain sectors such as Apple Vision Pro. Predictions for the upcoming future will also include more revenue and a bigger install base for the company.

While the figures were certainly great, many investors were keen to know how these figures might be impacted by the regulatory environment that could change under President Trump.

The question had to do with whether a better and more controlled regulatory environment might benefit the organization or not. As per Apple’s CFO, more focus was on quoting figures instead of directly answering the question. Kevan Parekh chose to focus more on discussing the rise in customer engagement across all services and in different parts of the world. Tim Cook also had his lips sealed on what new changes could affect the company.


Image: DIW-Aigen

Read next: Users Face Legal and Financial Burdens Under DeepSeek’s Strict Terms of Use
by Dr. Hura Anwar via Digital Information World

Thursday, January 30, 2025

Users Face Legal and Financial Burdens Under DeepSeek’s Strict Terms of Use

Most of the internet users do not read terms of use. They install the app, press agree, and continue using apps and digital platform. It has become a norm these days. As consumers appears to have no time to check what is written inside. But sometimes, inside the long text, there are words that can change everything. DeepSeek’s terms of use is one example.

This is not usual terms that just set rules for using app. It is more than that. It shifts responsibility in a way that can cost users real money. If user violates terms, it is not only about losing access. It is also about financial responsibility. And not a small one. Legal fees, travel costs, evidence collection expenses, administrative fines. DeepSeek puts all these on the user’s shoulders. But how many people notice this before clicking accept.

Sometimes companies play with terms of use because they know people do not read. Amazon once included strange line in their AWS Service Terms policy. It said that their rules do not apply if zombie apocalypse happens. It was hidden joke inside serious document. But DeepSeek’s terms are not joke. They are serious words with serious effect.

DeepSeek writes clear policy about how they handle rule violations. They decide if user breaks rules. Nobody else. No outside review, no appeal system. If DeepSeek believes user violated terms, they take action. This can mean limiting account, removing content, blocking access, permanently banning user. No warning needed and no explanation required. It is their decision. The AI chatbot platform also have rights to announce it publicly. If they want, they can restore account later. If not, then you've no other options.

Their control does not stop at app usage. If DeepSeek thinks user has done something illegal, they take further steps. They do not only ban you they also keep records and report case to authorities. They cooperate with investigation. What kind of actions are illegal. It is not written clearly. But if DeepSeek believes there is problem, they act immediately.
One of the most concerning part is financial responsibility. If legal problem happens because of user’s actions, DeepSeek does not take responsibility. They put all financial burden on user. If third party makes legal claim against DeepSeek because of something user did, DeepSeek does not pay. Their policy says user must pay. This is not only about fines. It also includes attorney charges, arbitration payments, evidence collection, investigation fees, even DeepSeek’s travel costs for handling case. It is all listed inside terms.

There is one important note inside document. It says no contract can take away consumer rights protected by law. Legal protections that exist in country remain valid. DeepSeek’s terms cannot erase those rights.
Some people may not see this as problem. Some may think it is just another way for company to protect itself. But not everyone agrees. Recently some researchers downloaded DeepSeek to test it, they read the terms. One person said these conditions go too far. Another deleted app immediately.

Most people never check what they are agreeing to. They just press accept and continue using app. But DeepSeek’s terms raise serious question. How much risk is too much for using one app.

Image: Solen Feyissa / Unsplash

Read next:

• Apple’s AI Transparency at Risk Amid Growing Privacy and Data Scrutiny

• Cybercrime on the Rise: The Dangers of Phishing Scams and How to Protect Yourself

• Your Weight Loss App Might Be Spying on You, Here’s What You Need to Know!
by Asim BN via Digital Information World

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.

Read next:

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

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

• Is Your Diet Speeding Up Aging? The Must-Know Vitamins for a Healthier Life


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%

Read next: Which Cryptocurrencies Are Americans Most Likely to Invest in for 2025?
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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• Mobile App Usage Surpasses 4.2 Trillion Hours in 2024, Revenue Growth Continues

by Asim BN via Digital Information World

Tuesday, January 28, 2025

Mobile App Usage Surpasses 4.2 Trillion Hours in 2024, Revenue Growth Continues

Sensor Tower’s annual 2025 State of Mobile report is here and it talks about the latest trends on mobile, highlighting that the mobile market is stronger than ever. According to the report, Google Play and App Store’s revenue for in-app purchases reached $150 billion which is a 13% YoY increase. There were 136 billion downloads made on Google Play and iOS YoY and the downloads have been between 135-140 billion since 2020. New smartphone users are slowing down but this doesn't mean that people are spending less time on their phones because consumers spent 4.2 trillion hours on different apps from Google Play and iOS, which makes 3.5 hours per day. The growth in total hours spent declined a bit from 7.7% YoY in 2023 to 5.8% YoY in 2024.

Downloads and time spent decreased in established markets but it didn't affect revenue growth. The revenue from in-app purchases on Google Play and iOS increased 13% YoY in 2024 and reached $150 billion and it was mostly due to non-gaming apps. There was a 4% YoY growth in gaming apps and 23% YoY growth in non-gaming apps. The market leading in IAP revenue in 2024 was US ($52 billion), with a 16% YoY increase. Europe saw a 24% YoY revenue growth in 2024. The in-app purchase revenue for mobile games grew 4% YoY to $81 billion in 2024 after seeing two years of decline. However, downloads declined 6% YoY to 49.6 billion.

AI apps are also doing good on Google Play and iOS and are already a billion dollar industry. AI Art generator and AI chatbot got $1.3 billion from in-app purchases with the US being 45% of the market for generative AI apps in terms of revenue, followed by 4% of the UK, 4% of Germany and 3% of Japan. More than 100 apps have added AI related terms to their apps names or tags which shows that AI technology has grown a lot and is expected to grow more in 2025.

Some other things that the report talks about is cryptocurrency apps are gaining transactions again after 2021 while social media apps are also seeing a quick growth in their revenue in 2024. Many of the apps on Google Play and iOS are also connecting mobile to in-person experiences like grocery store, outdoor health and restaurant apps.






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by Arooj Ahmed via Digital Information World

UK Cracks Down on Smugglers, Removes 8,000 Social Media Accounts Promoting Illegal Migration Services

The UK's National Crime Agency (NCA) has intensified efforts to disrupt people-smuggling networks operating on platforms like Meta, X, TikTok, and YouTube. By working closely with these companies, it achieved a 40% rise in account removals last year, taking down over 8,000 accounts promoting illegal migration services. This brings the three-year total to more than 16,500 takedowns.

Illegal posts included false claims of swift boat crossings to the UK, rewards for referring migrants, and sales of fake IDs. Smugglers also used these platforms to lure migrants with promises of transport across Europe, later switching to encrypted apps to avoid detection.

A robust social media action plan introduced in late 2021 has helped the NCA investigate and prosecute offenders. Preston-based Amanj Hasan Zada received a 17-year sentence in 2024 for sharing videos of smuggling success stories. Two others, Dilshad Shamo and Ali Khdir, were found guilty of advertising smuggling services and await sentencing.

The agency is ramping up resources to disrupt these networks, collaborating with platforms to identify and remove harmful content. Tough new UK laws, announced this month, include travel bans, social media restrictions, and phone-use limitations to tackle human smuggling.

In the US, Mexican cartels exploit social media for similar purposes. Cartel del Noreste (CDN) uses Facebook to recruit and coordinate operations, combining smuggling with violent criminal activities. Two high-ranking members were sentenced last year for their roles in leveraging social media to expand their network and evade authorities.

Image: NationalCrimeAgency / UK

Read next: Is DeepSeek the AI That Will Topple Google and OpenAI? Here's What You Need to Know
by Asim BN via Digital Information World

Monday, January 27, 2025

Is DeepSeek the AI That Will Topple Google and OpenAI? Here's What You Need to Know

In January 2025, DeepSeek, a Chinese AI chatbot, made waves in the global market. It quickly attracted attention, sparking debates about the future of AI and the shifting balance of technological dominance. While many have focused on its impressive capabilities, others have raised concerns about its underlying influences. DeepSeek signals a new direction in AI, one that challenges established norms and introduces new possibilities in both technology and geopolitics.

The Birth of DeepSeek

DeepSeek was founded in 2023 by Liang Wenfeng, a former quantitative finance expert. His leap into artificial intelligence was driven by a desire to build a chatbot that could combine human-like reasoning with practical problem-solving features. By January 2025, DeepSeek had launched its flagship product, the DeepSeek-R1 AI chatbot. Despite being in its early stages, the company’s smart development and bold approach have positioned it as a formidable contender in the AI space.

The Technology Behind DeepSeek

DeepSeek's technology relies on a mix of advance approaches to AI development. What sets it apart is how efficiently it uses resources. While companies like OpenAI and Google have poured billions into their AI systems, DeepSeek developed a competitive product with just under $6 million. This lean development has allowed DeepSeek to avoid the need for expensive hardware and massive data centers, which have been the norm in AI development.

The core of DeepSeek's model is its ability to function with minimal computing power while still delivering fast, accurate responses. Unlike its American counterparts, which require vast amounts of processing power and other resources, DeepSeek uses more efficient algorithms and less resource-intensive models. As a result, it’s able to provide similar performance at a fraction of the cost, making AI more accessible to companies and individuals alike.

Open-Source Revolution

One of DeepSeek's most significant moves is its decision to release the chatbot’s code as open-source software. Unlike most major AI companies that keep their code locked behind proprietary systems, DeepSeek has made its technology available to everyone under an MIT license. This is a big deal because it encourages the kind of collaboration and innovation that can drive accelerated technological advancement.
By making its source code open, DeepSeek is democratizing access to AI. Developers, businesses, and researchers can not only use the chatbot but also improve upon it, adapt it to different needs, and contribute to its ongoing development. This open-source approach is a stark contrast to the more closed-off models from major AI companies.

DeepSeek’s Impact on the AI Market

DeepSeek is already shaking up the AI market in ways that go beyond its technology. The cost-effective nature of the product is one of its most significant selling points. Businesses that previously couldn’t afford AI now have access to a powerful tool that can help them scale operations, automate tasks, and enhance decision-making processes.

Notably, by making AI technology affordable and accessible, DeepSeek is challenging the business models of major AI players. Companies like OpenAI have traditionally relied on subscription fees, enterprise contracts, and other monetization strategies. In contrast, DeepSeek's API service is priced much lower, making it an attractive option for smaller firms and independent developers. This shift in how AI services are priced could force larger companies to reconsider their pricing models or risk losing market share.

Political and Geopolitical Tensions

DeepSeek's rise isn't just about technology, it's also about geopolitics. As China continues to assert itself in the global tech landscape, DeepSeek’s success is seen as part of a broader strategy to challenge the dominance of U.S. companies in the AI industry. While the U.S. has been the driving force behind most AI innovations, China is quickly catching up, and DeepSeek is leading the charge.
DeepSeek’s success is symbolic of China’s growing influence in the AI sector. The country has been investing heavily in AI research and development, and DeepSeek is reaping the benefits of this state-backed push. While the Chinese government has allowed the company to operate with relative autonomy, there are signs that this could change. Recent moves by the government to increase its investment in AI could signal greater involvement in DeepSeek's future.

This shift in power dynamics has already had consequences. For instance, Nvidia, a key supplier of chips used in AI models, saw its stock dropped in billions in response to DeepSeek's rise. Investors are now questioning whether the traditional methods of building AI, that is relying on high-end hardware and data centers, are sustainable in the face of more efficient, cost-effective alternatives.

Censorship and Ethical Dilemmas

One of the most significant criticisms of DeepSeek is its censorship practices. Like many Chinese tech companies, DeepSeek has limits on the type of content its AI can discuss. For example, when asked about the 1989 Tiananmen Square protests, DeepSeek’s chatbot refuses to answer, instead redirecting users to other topics. This self-censorship is a reflection of China’s strict policies on controlling the flow of information.

The issue of censorship raises important questions about the ethical implications of AI. While AI has the potential to facilitate open dialogue and promote free expression, it can also be used to suppress inconvenient truths. DeepSeek’s refusal to address sensitive historical events is a reminder of the risks that come with allowing government influence over AI technology.

Though DeepSeek’s approach to censorship mirrors that of other Chinese tech companies, there are signs that the company is not entirely subject to government control. Analysts believe that the Chinese government has largely stayed out of DeepSeek's operations, but this could change as the company grows and attracts more attention. The increasing investment in AI research by the Chinese government suggests that DeepSeek might eventually face greater scrutiny or even direct intervention.

Looking Ahead: What’s Next for DeepSeek?

As DeepSeek moves forward, its future is filled with both opportunities and challenges. The company has already proven that it can build a competitive product with limited resources, but scaling that success will require overcoming several hurdles. One of the biggest challenges will be ensuring that DeepSeek-R1 can handle more complex tasks without compromising its efficiency.
DeepSeek’s open-source model will be crucial in this process. As more developers and companies adopt the technology, the chatbot will continue to evolve and improve. However, whether DeepSeek can maintain its momentum against the likes of OpenAI, Google, and other tech giants remains to be seen. If it can continue to innovate while keeping costs low, the company could redefine how AI is developed and used in the future.

Conclusion

DeepSeek represents a shift in how AI is built, accessed, and monetized. Its cost-effective, open-source model is reshaping the industry, making AI more accessible to businesses and developers of all sizes. At the same time, DeepSeek is a reminder that the future of AI will be shaped not just by technological advancements but also by the political and ethical decisions that govern its development.

While DeepSeek’s rise signals a new era in AI, it also raises important questions about how AI should be regulated, who controls it, and how it can be used to promote open dialogue and transparency. As the company continues to grow and improve, the world will be watching to see if it can challenge the established powers in the AI space and redefine the future of technology.

Have you tried DeepSeek yet? Share your experience with us in the comments or tag us on social media!

With minimal resource usage and a lean development model, DeepSeek disrupts AI market pricing and competition.
Image: DIW-Aigen

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• Which U.S. Cities Are Seeing the Fastest Rise in Digital Crime and Fraud Reports?
by Asim BN via Digital Information World

Which U.S. Cities Are Seeing the Fastest Rise in Digital Crime and Fraud Reports?

According to the FTC, 2.5 million Americans became victims of fraud in 2023, losing about $10 billion online. In response to this alarming trend, All About Cookies conducted a survey to identify which U.S. cities have the highest rates of online scam, based on fraud and identity theft reports. They gave scores from 1-100, with 100 being the worst score and it was also observed that most scams happen in the cities which have aging populations and warm climates. Miami was the most scammiest city in the US with score of 72.0. There were 1,775 average fraud reports per 100k population, with 162 spam call complaints within the same range.

Followed by Miami is Las Vegas, with 200 spam calls reported per 100k and 488 identity theft reports per 100k as well. The third scammiest city in the US is Orlando (1,602 fraud reports and 167 spam call complaints per 100k). Tampa has the fourth highest scam rate in the country with 1,623 fraud reports per 100k. Another city in the top five scammiest city in the US is Atlanta which had 1,988 fraud reports per 100k, with highest number of robocalls (4,133) received per person. There was a 29% decrease in identity theft reports in Atlanta and that's why it isn't ranked higher. Other top ten scammiest cities in the US include San Diego, Tallahassee, Tucson, Hartford and Dallas. Most of the cities with highest rates of scam and identity theft are from Florida.

All About Cookies also ranked the safest cities in America for digital crime, with Amarillo (18.6 score) topping the list. It also had a 21% decrease in identity theft reports which helped a lot in its ranking. Other safest cities in the US for digital media are Fort Wayne, Wichita, Nashville and Kansas City. Fort Wayne also saw a 14% decline in fraud reports while Kansas City has the lowest fraud reports and robocall rates in the country. On the other hand, Hartford saw a 49% increase in identity theft reports. Des Moines saw the second biggest increase in identity theft reports (40%) while Boston saw the third biggest increase (34%). Other cities in the US where identity theft is rising quickly are Omaha, Lincoln and Denver. Cities like Little Rock, Cincinnati, Providence and Portland are also seeing increases of 15%-13% in identity theft reports.




Read next: Survey Highlights $3,313 Average Loss Per Identity Theft Victim in the US
by Arooj Ahmed via Digital Information World

Why Are AI Giants Betting Big on Washington, and What’s at Stake for the Future?

According to OpenSecrets, many AI companies have significantly increased their lobbying efforts on federal AI issues. In 2023, 458 companies spent on AI lobbying while 648 companies spent on AI lobbying in 2024. This is a 141% YoY increase in AI lobbying between 2023 and 2024. Companies like Microsoft and OpenAI have ramped up their efforts to influence AI-related legislation. CREATE AI Act, which focuses on benchmarking AI systems in the US and Advancement and Reliability Act which aims at creating a government center for AI research was backed up by Microsoft and OpenAI respectively.

OpenAI has increased its lobbying expenditure from $260,000 in 2023 to $1.76 million in 2024 while Anthropic’s lobbying expenditure increased from $280,000 to $720,000 in 2024. A startup named Cohere has also increased its budget to $230,000 in 2024 from $70,000 in 2022. OpenAI, Cohere and Anthropic collectively spent $2.71 million on federal lobbying in 2024, which is a significant increase from $610,000 being spent on federal lobbying in 2023. It is still small if we compare it to what large tech industries spent on lobbying in 2023 ($61.5 million).

In 2024, domestic policy making was a mess with Congress considering about 90 AI-related bills in the first half of the year but Congress didn't take any actions and asked the states to act independently. Some of the actions which were taken because of that were Tennessee becoming the first state to protect voice artists from unauthorized AI cloning, Colorado adopting a risk based approach to AI policy and California enacting multiple AI safety bills. But no state was successful in implementing AI regulations as good as the EU's AI Act.

It is still unclear whether there will be more actions on AI legislation this year as compared to last year at a federal level. President Donal Trump has recently ordered federal agencies to suspend Biden-era AI policies, even the export rules on AI models. Anthropic has urged the federal government to implement targeted AI regulation while OpenAI has also called for some government action on AI as well as its development and infrastructure.

Image: DIW-Aigen

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• Meta AI Launches Document Editor to Enhance Writing and Editing Tasks

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by Arooj Ahmed via Digital Information World

Sunday, January 26, 2025

Meta AI Launches Document Editor to Enhance Writing and Editing Tasks

Meta AI is offering its users a text-based document editor to help them in their writing tasks. If you want to write documents using AI assistance, head to the web client on Meta AI and open the document. You will have options just like any other document and Meta’s Llama 3.2 will help you make any kind of changes to your document. This tool is not on Meta AI yet and Meta hasn't shared any news about it either. But it is mentioned on Meta’s AI homepage that the feature is available on beta. Six weeks ago, a help page for this feature also appeared but there's no announcement about its public release yet.

You can also generate images on the document using Meta’s imagine feature with options about saving, copying and printing the document. However, the option to download the document in formats like DOCX is not yet available. Users can instruct Meta AI to make changes to the document and will also be able to take advantage of versioning features. If you do not like a change AI made, you can still go back to previous versions using the back arrow.

Many students use generative AI to cheat on their homework and writing tasks. When writing generated by Meta AI in the document editor was checked for AI, it was all detected as AI. This means that it cannot be used for writing homework without going undetected so using the rewrite feature will come in handy. Meta AI in the document editor can also be used for fixing spelling and grammatical mistakes.


H/T: Neowin

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• Survey Highlights $3,313 Average Loss Per Identity Theft Victim in the US
by Arooj Ahmed via Digital Information World

Survey Highlights $3,313 Average Loss Per Identity Theft Victim in the US

According to the Federal Trade Commission (FTC), millions of Americans get affected by fraud and lose billions because of it. In 2023, Americans lost $10 billion in fraud, mostly due to identity theft or $1.8 million every year. All About Cookies conducted a survey among 1000 Americans to find out how many of them have been affected by identity theft, how they became a victim of identity theft and how long did it take for them to recover from it. According to FTC’s 2022 and 2023 Consumer Sentinel Data Books, the state which is most compromised with identity theft is Connecticut, with a 68% increase in identity theft from the year prior. It is followed by Massachusetts (+55%), Iowa (+44%) and Nebraska (+30%).

The Bureau of Justice Statistics’ report shows that 12% of people over the ages of 16 knew that their identities had been stolen and 46% of people knew someone close to them who had been a victim of identity theft. 14% of the respondents in the survey said that they themselves had their identity stolen in the past. The victims said that the average cost of identity theft to them was $3313.

There are some common methods that identity thieves use to steal information from victims. The respondents were asked how they got their data stolen which contributed to identity theft, with 38% saying they got their data stolen from a data breach on a website (38%), followed by stolen or missing credit card (16%) and official documents (13%). There were also 27% of the respondents who said that they don't know how identity thieves stole their data. 45% of the respondents said that identity thieves opened new accounts from their data and 42% that identity thieves used their data to steal from financial accounts. 20% of the identity thieves also used victim’s data to take out loans.

The survey also asked the respondents how they found out their identity had been compromised, 46% responded that they received a credit card monitoring alert and 42% said that they noticed their money missing. 50% of the respondents said that they were using ID theft monitoring at the time of the theft and were alerted by it. 36% of the respondents said that it took them an average a week or less to know that their identity had been stolen while 17% got to know about it in one to three months. 51% of the victims of identity theft got to know about their identity being stolen within two weeks of the crime.

23% of the respondents said that they still haven't recovered from identity theft while 20% said it took them a week or less. 50% of victims figured out their identity had been stolen within two weeks. 48% of the respondents of the survey said that they don't have enough protection against identity theft.








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