Meta Reaches Massive $1.4 Billion Settlement With Texas Over Facebook’s Tag Suggestions For Photos

While the dispute may have arisen regarding a feature from more than a decade ago, tech giant Meta has finally come to a payment settlement with the state of Texas regarding its Facebook tag suggestions for pictures.

The company confirmed how it would be settling the lawsuit launched in 2022 that had to do with using facial recognition through the app. Texas stated how the feature called Tag Suggestions on images published to the app went against the state’s CUBI Act as well as the Deceptive Trade Practices law.

For this reason, Meta is all set to pay a whopping $1.4B over five years to bring the chapter to a close. This was confirmed by the Texas AG Ken Paxton today.

Certainly, it’s one of the biggest settlements related to actions brought about by a certain state as per Paxton. Furthermore, it’s also the first legal case and settlement rolled out under the CUBI which also serves as an alert to other firms that violate the Texas citizens’ privacy rights.

Any abuse of the sensitive data from Texans would be met through full investigation and force of the state law, the AG confirmed in the latest press release concerning the matter.

The problem has to do with the app making suggestions for who should be tagged in these images. This all stems from the decision that Facebook made in 2011 when it launched the latest feature dubbed Tag Suggestions. It felt this would better user experiences by ensuring it’s simpler to tag pictures with names of certain individuals in a picture as per the press release.

This was two years after we saw the state pass the CUBI Act that prevents firms from capturing biometric information such as face geometry without getting consent from them beforehand.

The app went about turning this feature for tag suggestions on without permission and that meant it was clicking and using their personal biometrics that belonged to millions of citizens without any form of authorization.

At the start, this legal case sought $25K in civil penalties for violating the law and then an additional $10K per violation of the state’s Deceptive Trade Practices Law. such penalties would have hit the hundreds of billions mark as confirmed through a report by the WSJ in 2022.

Right now, the firm didn’t admit that it was doing anything wrong in this settlement.

We did see in the year 2017 how the app went about turning this feature on/off through control tag suggestions. It was replaced with some more comprehensive settings for facial recognition, two years later. After that, the app just stopped with the automated option for face tagging images in 2021.

The spokesperson for Meta released a statement on this front, adding how they are glad that a resolution on this matter has finally been made. Moreover, he added that the company hopes to explore better opportunities in the future to better its business projects in the state of Texas like more data centers that would benefit all.

Image: DIW-Aigen

Read next: Q2 Earnings: Pinterest Revenue Matches Forecasts, MAUs Hit 522M, Shares Plunge 15%
by Dr. Hura Anwar via Digital Information World

Q2 Earnings: Pinterest Revenue Matches Forecasts, MAUs Hit 522M, Shares Plunge 15%

Social media giant Pinterest just rolled out its earnings report for the second quarter of 2024.

The news resulted in its stocks taking a hard hit of 15% as experts from the company provided insights on the upcoming quarter which was lower than what estimates from analysts mentioned.

As per reports from LSEG, the company’s performance for revenue and earnings per share included $854M and 29 cents on adjustment which were both close to the expected predictions.

Meanwhile, revenue grew 21% YoY while the net income for each quarter was $9M as compared to the loss of $35M which was equivalent to 5 cents a share as displayed in the 2023 record. During that time, the net costs and expenses hit $781M.

As reported by Pinterest, it hoped the sales for the third quarter would range anywhere between $885M to $900 million which is the equivalent to a YoY growth ranging between 16 to 18%. Experts did predict the revenue guidance to hit $907 million.

The company’s CEO was very optimistic with the earnings report, adding how the platform’s efforts for monetization are starting to pay off. Meanwhile, advertisers have seen a great improvement in performance throughout key areas of the app. This entails brand awareness to the likes of conversion.

The news comes as it keeps on launching more offerings related to AI and hence attaining a bigger share of advertising budgets seen across some of the biggest brands around the globe.

Pinterest mentioned how it included close to 522M MAU for Q2 this year which went beyond the estimates made by analysts which was 520M. As per the regional breakdown for Pinterest, the firm mentioned how the leaders in terms of userbase were certainly Europe with 136M and the American/Canadian were 98M.

Such analysts hoped the US would have a bigger share of users with predictions hitting 136M while that seen for Europe was estimated to be 284M around the globe.

In addition to that, Pinterest spoke about Q2 revenue per user to be $1.6 which again was in line with the predictions made by analysts.

Another earnings call with the company’s CFO entailed a discussion surrounding the major areas of strength for the firm and that included auto, finance, and tech to be the main stakeholders to generate revenue via the app’s online ad business. However, it was a little offset when it had to do with food and drinks as some analysts did make stronger predictions in this category.

When you look at the bigger market picture, Pinterest explained to analysts how they did see an advertising market which it felt was quite stable when compared to the results produced in the previous quarter.

Alphabet rolled out its Q2 revenue stats that went above analysts’ predictions, hitting the $84B mark while the firm’s ad sales hit $8.6B during that same time. The latter was lower than the $8.9B that estimates predicted.

Image: DIW-Aigen

Read next: Microsoft Triumphs In Q4 Again With $64.7B In Revenue Thanks To Server Products And Cloud Services
by Dr. Hura Anwar via Digital Information World

Microsoft Triumphs In Q4 Again With $64.7B In Revenue Thanks To Server Products And Cloud Services

Software giant Microsoft just rolled out its earnings for Q4 of 2024.

The financial results showed great performances related to the company’s server products and cloud services, which helped in winding up a total revenue of $64.7 billion. This included a net income of $22B during the final quarter.

Revenue growth was 15% from the previous records while net income growth was also up by 10%.

The company’s long list of server offerings and cloud services certainly get credit for this great fiscal performance as they helped generate $28.5B in total, which is a massive 19% growth seen in 2023.

Today, revenue from this particular sector makes up a whopping 45% of the overall revenue as Cloud’s earnings turn strong again.

Meanwhile, the consumer devices for Microsoft’s consumer offerings are still in decline for a repetitive seven quarters.

Coming to Windows revenue, the price paid by manufacturers for licensing Windows for different devices went up 4% YoY. As mentioned during the month’s start, the shipments for PCs grew for a repetitive three quarters which was reflected through Microsoft’s Windows OEM during the similar period.

Microsoft rolled out the latest Copilot Plus computers at the end of Q4 with an array of other devices that were powered using Qualcomm and mentioned a launch starting June 18th onwards.

On the other hand, two of the latest Surface devices were also rolled out last month. Now the change in sales that this would make wouldn’t be experienced until the start of the upcoming quarter.

Hence, this means the revenue generated through Windows and Surface went down by 11%. The final time it went up was during the first quarter of 2023.

Software giant Microsoft mentioned how the revenue for its devices would continue to fall during the upcoming quarter, hitting the lower digits as that was a true reflection of the next quarter.

Coming down to Xbox and gaming, revenue grew 61% and a lot of the credit does go to Activision Blizzard who contributed a massive 58 points to the overall scoreboard.

The company’s Xbox Game Pass offering entails 34M subscribers. The company hopes to roll out its own standard plan for this offering soon.

In other news, it also rolled out Call of Duty: Modern Warfare III through its Xbox Game Pass which would again be another attractive feature for the masses to enjoy.

But the price hikes it plans for Xbox Game Pass Ultimate will begin in September of this year with a $3 rise to hit $19.99 per month. Still, there might be a great amount of anticipation for the latest games but sales for consoles continue to be in decline. The revenue generated for hardware fell 42% in this particular quarter.

We’ve seen the software giant focusing on messages like ‘no Xbox required’ so that it could boost streaming efforts through its Cloud. Nevertheless, the revenue generated through gaming is still up 44% as a whole, thanks to the great addition in revenue by Activision Blizzard.

The revenue generated from Cloud and Office grew during the final quarter of 2024 as predicted. Meanwhile, cloud services and commercial products also rose by 12% with the revenue of Office 365 growing 13%.

Looking at the Office side of things, the revenue grew 3% YoY with subscribers hitting a 10% growth to reach 82.5M at the moment. The revenue for LinkedIn also grew by 10% in Q4.

Moving on to the company’s cloud services and server goods, the revenue generated rose by 21% while Azure and other service offerings grew by 29%. However, experts did predict the growth in this sector to be more in Q4, causing a fall in shares at NASDAQ during the after-hour trading hours.

Furthermore, we’ve got reports about investors keen on seeing any revenue growth in the AI sector of the firm. During Q4, 8 points linked to Azure and other Cloud offerings had to do with the AI services which has increased slightly than what was seen in the last quarter.

Image: DIW-Aigen

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• The Hidden Tricks to Skyrocket Your YouTube Shorts Views!
by Dr. Hura Anwar via Digital Information World

The Hidden Tricks to Skyrocket Your YouTube Shorts Views!

YouTube Shorts are getting popular because of their quick content consumption type. You must have observed that YouTube Shorts tend to get more viral than other media because of their engaging and short nature. But this isn't all. There are some tricks YouTubers use to make their shorts get more viral and popular. Adobe Express looked at 1,000 YouTube Shorts from 100 US based YouTubers and analyzed the engagement rates, per hour views, length and tags of the Shorts. The results showed how you can optimize your Shorts to get more eyeballs.

The YouTube Shorts researchers analyzed is that all those Shorts got 218.5 million views on average which is about 12,900 views per hour. The average likes on most popular YouTube shorts are 5.4 million. The researchers found that YouTube Shorts which were longer than 41 seconds got 31% more views than shorter ones. YouTube Shorts which were about entertainment got the most views, around half (49%) of analyzed videos fall into the entertainment category.

Most YouTubers do not think about adding tags (that is all the possible labels and categories their video may fall into) on their Shorts, but after looking at 100 Shorts, it was found that most popular YouTube shorts used 24 tags on average. Using appropriate tags is important as Shorts which used relevant tags got 7% more engagement than the Shorts which used only a few tags with most of them being irrelevant. The Shorts which didn't have detailed tags also got low visibility and engagements.

Descriptions also count in getting more engagement. The most popular Youtube shorts used 60 words on average for descriptions and got 62% more comments than Shorts which didn't have any descriptions. Moreover, 94% of the most viewed YouTube Shorts used cards, 93% used high resolution thumbnails and 41% of those Shorts were also shared on Facebook. Shorts which were shared on Facebook got 29% higher rates than Shorts which weren't shared on Facebook. If YouTubers want their Shorts to get viral, it is best that they post them on other social media platforms too.

These were all the features viral YouTube Shorts had. Cross-posting on other social media apps can help a lot in bringing more engagement to Shorts, especially by sharing Shorts on Facebook. Make sure that your YouTube shorts are unique and stand out among other Shorts. Your audience matters too and it is best to create Shorts that align with your audience’s interests.

Read next: Research Shows that There's Been an Impressive Growth Seen in MarTech Products in the Last 13 Years
by Arooj Ahmed via Digital Information World

Hundreds Of Websites Fail To Block Scraping Bots Because They Keep Multiplying

The name Anthropic should ring a bell for you and in case it doesn’t we’d like to shed some light on that front.

The popular scrapping AI website has been a serious source of concern for so many obvious reasons. And the biggest one of them all has to do with its ability to scrape data from wherever and whenever it feels like.

By now, we’d assume that websites would have been able to block the firm from performing such actions but the reality is far from that. But why, is a question you might be having.

The answer is simple, AI websites like Anthropic are giving rise to more and more scraping bots and the rate at which these are multiplying is insane. Websites might think they’re blocking the right bots but that’s not the case. This combined with failed attempts to target the great number of bots that keep multiplying is making matters worse.

Did we mention how most companies are launching newer bots with unique names and they’re only going to get blocked if owners update the robots.txt?

Sites are mostly blocking two bots that aren’t even used by the firm anymore. The real troublemaker by Anthropic is failing to be targeted and therefore as it remains unblocked, it keeps doing the damage.

An anonymous operator the company Dark Visitors who tracks the operations of various AI firms mentioned how many web scrapers keep getting updated so that prevents them from being detected. The webpage keeps seeing massive popularity as more and more individuals try to prevent AI from using its material.

See, experts realize that the ecosystem never stays stagnant. There are many fluctuations and therefore website owners are finding it super hard to keep up. Companies keep changing the page’s robots.txt file which entails instructions telling bots if they contain permission for crawling certain sites.

Time and time again, certain sites make use of means that they shouldn’t for crawling purposes.

In certain situations, the endeavor leads to unwanted impacts like restricting search engines, tools used for archiving material, or those linked to academic research. Even if that was not the intention of the owner, it happens.

Let’s take Anthropic for instance, so many robots.txt files of popular websites such as Reuters and Conde Nast are blocked to scraper bots that were once used by the company and Claude’s AI chatbot.

Therefore, any of these websites and many more weren’t blocking Anthropic unknowingly.

Many are tired and don’t know what to do next. Let’s take the repair guide website iFixit for instance. It mentioned how a crawler from Anthropic was targeting its page close to one million times in a single day. That’s a lot of files to access when you come to think of it.

Experts suggests it’s time AI firms put on a more respectable face of the pages being crawled. They tend to risk many pages from blocking for abuse, no matter what morals are used in the industry.

Image: DIW-Aigen

Read next: Mark Zuckerberg Drops F-Bomb While Discussing His Excitement For Closed vs Open-Source AI At Meta
by Dr. Hura Anwar via Digital Information World

Mark Zuckerberg Drops F-Bomb While Discussing His Excitement For Closed vs Open-Source AI At Meta

It looks like Mark Zuckerberg clearly cannot control his excitement when it comes to discussing open vs closed-source AI.

Meta’s CEO got a little too enthusiastic during his last interview with the CEO of Nvidia and it’s apparent why because it comes at a time when the company is all set to launch its latest open-source Llama 3.1 model.

The live conversation featured a very overly excited Zuckerberg who was seen speaking about the future of AI alongside his co-guest Jensen Huang from Nvidia. Both tech leaders also revealed their opinions regarding the virtual world at the industry conference dubbed SIGGRAPH 2024.

One day, Zuckerberg feels each firm will design its own personal AI that would be quite like having your own customized social media profile. And Nvidia’s head couldn’t praise Zuckerberg more about how massive and great last year’s launch of Llama 2 was.

Zuckerberg couldn’t help but shed light on how he adores open source models and it’s to an extent that he finds it selfish. But the desire is never-ending to have his firm curate the tech that it requires to ensure the best social experiences.

The leading platform owner explained how he’s designed a lot of things and while some have been massively successful, others not so much. For him, closed platforms are not worth it and shouldn’t be there. It makes him upset to a great extent, he continued.

If you ask us, we’re not too surprised to see Zuckerberg’s emotions run high on this front. Remember, Meta’s Llama 3.1 model is certainly the biggest one of its kind. It’s going to be accessible and modifiable to all and it could also be distributed through the source code.

Zuckerberg is the most hopeful that the upcoming computing world will go back to a time when everything is an open ecosystem. He further went on to roll out the right manifesto that explains why open-source is the future and the way to go.

In comparison to other firms that opt for the close-source maneuver, especially ChatGPT maker OpenAI, Meta’s CEO feels it’s time to close the gap and therefore he pointed toward the cheapest production costs and best performance statistics that this kind of technology can deliver.

A host of industry leaders such as Zuckerberg’s archrival Musk were quick to praise him and the company for making Llama 3.1 open-sourced. Other tech leaders have long argued that open sourcing-is beneficial for all as it gives rise to greater transparency and more safety.

At the end of the day, Zuckerberg knows that two options will always exist. One has to do with open source and the other one is closed source. In general, there’s great value when you’re dealing with open-sourced software, he mentioned in the end.

Image: NVIDIA / YT

Read next: Meta Allows Users To Create Custom AI Characters For Chats
by Dr. Hura Anwar via Digital Information World

Meta Allows Users To Create Custom AI Characters For Chats

The thought of being able to speak to your favorite creator on the Instagram app is no longer a dream.

Meta is rolling out its AI Studio to all users where they can produce AI characters to imitate their persona. This includes equipping the feature to carry out conversations that make it seem like it’s their doppelganger. Hence, both fans and followers have more reasons to celebrate.

The company first rolled out its AI Studio in the fall of last year but it wasn’t until now that they started to experiment with the various types of unique offerings that can be availed by all.

This came in the form of a unique test where a series of Instagrammers were given the chance to play around with the dynamic tools and most importantly, the unique AI characters.

As per tech giant Meta, the latest AI characters are supposed to be the company’s solution for app users having a large fanbase. Remember, it’s hard for creators to respond to all and keep track of the long list of messages flowing in its direction. Now, things are getting so much simpler with AI as unique characters are designed to be a true extension of their true selves, as recently unveiled by Meta’s head for AI Studio.

Above all, creators can use every comment produced, see the captions made, and read transcripts for reels that were created. In the same way, they will be given the chance to witness any customized instructions which they wish to add so in the end, it’s AI working on their behalf.

As per Mark Zuckerberg, the potential that chatbots entail is huge and therefore that’s why the head of Meta has a lot of ambitious plans in this regard. During another interview with Bloomberg, he shed light on the hundreds of millions of possibilities that could arise from AIs designed through his apps by creators.

Right now, it’s still not clear if users of the platform would be interested in interacting with AI variants of their popular creators. We already saw the tech giant roll out another trial in the past where it experimented with different chatbots that took on the persona of their favorite celebs. However, things didn’t quite go as planned and it’s safe to mention how the characters produced left so much to the imagination.

A lot of people felt confused in terms of whether or not they were holding chats with a celeb embodying AI or AI that is impersonating their favorite character. Now, public figures would be given the chance to represent themselves or AI would be extended to impersonate a celeb would be so much clearer than before.

Remember, the AI Studio isn’t solely for creators. It’s giving all users the chance to make the most of its latest and unique venture where customized AI characters are designed to carry out chats on particular topics. Similarly, they would be given the chance to provide advice or design memes.

Similar to the creator-based characters, chatbots are going to be powered by the company’s Llama 3.1 model. Moreover, users will be given the chance to share chatbot creations and carry out tracking to determine the actual usage but they cannot see one another’s interactions carried out.

The latest chatbots are the newest means by which Meta has pushed more users to spend time with AI as it adds technology to different aspects of the app.

We cannot forget how Meta has long struggled with putting out accurate data. In another post, we saw Facebook’s parent firm mention how its respective policies are put into use to ensure everyone remains safe at all times and also helps to ensure AI technology is used in the most responsible of ways.

So far, all the screengrabs provided by the organization display chats with the latest AI characters that feature a disclaimer that most of us are already familiar with. This entails how some of the messages produced by AI could be false and inappropriate and therefore proceeding with caution is always advisable.

Image: Meta

Read next: Survey Shows Median Income of Search Marketers: Salaries Range from $85K to $200K Annually in 2024
by Dr. Hura Anwar via Digital Information World

Survey Shows Median Income of Search Marketers: Salaries Range from $85K to $200K Annually in 2024

According to a survey by Search Engine Land, the average salary of 2024 the majority of search marketers ranges from $85,000 to $200,000 annually on average. The 2024 Search Engine Land Salary and Career Survey found out that individuals in executive management make $198,182 annually while the salary was even higher in 2023, $220,000.

The survey also found that salaries of other groups have increased YoY on average. For instance, senior directors and directors are paid $156,221 while their salary was $122,760 last year on average. In 2023, managers were paid $87,688 but now their average salaries have increased to $99,933. In 2023, staff used to earn $60,866 annually but now they are paid $85,572 on average.

The survey also found out that many executives were paid 3.62 times more than their staff in 2023 but now it has lowered to 2.32 times in 2024. There are many factors which can contribute to variance in median salaries. These factors include years of experience and size of the company. The median managerial level salaries can range from $14,000-$270,000. Directors and senior directors can get salaries ranging from $28,000 to $329,685. The salaries for executive management can be from $50,000 to $310,000. The median compensation is higher in companies with more than 1000 employees.

52% of the search marketers who were surveyed work in companies which have more than 500 employees. If you have more experience, your compensation is also higher. Mostly, salaries are increased after six or seven years and the second jump in salary comes after ten years. The survey also found out that marketers who have graduate degrees get 25% higher salaries than those who do not have graduate degrees. But a graduate degree doesn't matter in compensation according to the survey.

Read next: Research Shows that There's Been an Impressive Growth Seen in MarTech Products in the Last 13 Years
by Arooj Ahmed via Digital Information World

A New Survey Shows How Interested Women are to Use AI Tools Despite Facing Discrimination

Women Go Tech in support with Organization for Security and Co-operation in Europe and Google.org surveyed 5,400 women from 13 European countries and divided them into 4 groups: Women interested in tech careers (31%), women not interested in tech careers (30%), women who have worked in tech field for more than 2 years( 27%) and women who have worked in tech field for less than 2 years (12%). The reason for the survey was to find out how interested women are in AI tools.

The results of the survey showed that 68% of the women who were surveyed have used at least one AI tool, mostly ChatGPT while 61% said that they are interested in learning more about AI tools and their applications. Overall 77% of the women who were surveyed were interested in AI tools, out of which 64.6% were in tech related fields or interested in tech.

Despite this much interest in AI, women are still hesitant to use these tools because they think about having data privacy and ethical concerns. One quarter of the surveyed women said that they are not comfortable with their tech skills. This is due to women underestimating their abilities and having stereotypical and societal expectations that do not let them be interested in tech that much. Most women feel like an ‘imposter’ as they think that they do not belong in tech roles despite them having necessary qualifications and skills. 28% of the women in the survey reported that they have experienced discrimination and 32% of them say that they feel like they’ll face discrimination in the future. Many companies are implementing AI tools in workplaces, but 30% of the surveyed women said that they are not clear about AI policies while only 8% said that their company has given them AI policies at work.

Read next: Capgemini Reports that Many Companies are Going to Implement AI Agents By the End of 2025
by Arooj Ahmed via Digital Information World

Capgemini Reports that Many Companies are Going to Implement AI Agents By the End of 2025

According to Capgemini, a technology services giant, AI robots are going to work together and solve tasks by 2025. It will be known as ‘multi-agent AI’ where multiple artificial intelligence agents will work collaboratively and will be able to plan and execute complex tasks. Capgemini says that the USA is close to achieving this but Europe is still some time away from implementing AI agents in their workforce.

In the report by Capgemini, it was stated that 82% of the companies which were surveyed are planning to implement AI agents in the next one to three years while only 7% of the companies say that they have no plans for implementation of these AI agents. The survey was based on more than 1,100 companies having more than $1 billion revenues. The chief innovation officer of Capgemini, Pascal Brier, says that there are two types of AI agents– AI agents which carry out the tasks of humans and AI agents which talk to other AI agents.

He added that AI agents that can talk to other AI agents can adapt, understand, interpret and carry out different tasks independently and they can even replace human workers. AI and generative AI are working together to make things easier for humans. 71% of the companies say that AI agents are going to help with automation while 64% of the companies say that AI agents are going to relieve humans from repetitive tasks.

In 2023, only 6% of the firms had adopted generative AI but now it has increased to 24%. 10% of the firms having annual revenue of $1 billion to $5 billion have implemented generative AI while 49% of the companies with more than $20 billion revenue have done so. 88% of the companies have invested in AI while 66% of them belong to retail.

Read next: Survey Shows that Many Business Leaders Are in Favour of Using AI for Creativity
by Arooj Ahmed via Digital Information World

Russian-Speaking Actors Account for $500M Crypto Ransomware in 2023

TRM Labs, a blockchain intelligence and analytics firm, says that 69% of the crypto ransomware attacks accounting to $500,000,000 were done by Russian-speaking actors. Asia is leading in scams and investment frauds right now with North Korea being the country with the most data breaching and billions of dollars being stolen due to it in 2023. However, Russia is dominating in all kinds of malicious activities, including ransomware attacks including cryptocurrency.

In its report, TRM says that most Russian speaking actors are involved in cyber crimes related to crypto. The cybercriminals infiltrate the system and demand ransom if the companies do not want them to steal and delete their data. Many ransomware actors like Clop, PLAY, Lockbit, ALPHV/BlackCat, Black Basta and Akira are involved in this and all of them are Russian-speaking. RansomHub is a new ransomware gang but it has quickly become the strongest and largest.

The total ransomware payments amount to $500 million in 2023, while ALPHV and LockBit collected $320 million approximately. Illicit items and services on the Russian language darknet market which makes 95% of the sales globally. In 2023, the Russian market got $1.4 billion in sales while the Western market accounted for $100 million.

Russia is also responsible for a lot of money laundering with 82% of cryptocurrency handled by illegal groups there. Most of this cryptocurrency is used to purchase military equipment from sanctioned Chinese manufacturers to be used by Russians in Ukraine, TRM reports. About $85,000,000 were said to be sent from Russia to China since the war in Ukraine started.

The experts believe that this much involvement of Russians in cybercrimes is due to various reasons like their historical, normative and regulatory issues. This is why many Russians who are skilled in technology are choosing this path and attacking different firms for ransom. Russia is also politically isolated from Western countries so it is hard to track, disrupt and arrest criminals who are operating from Russia. If no measure is taken soon, the number of cybercrimes can increase with no one to stop them

Read next: Research Shows that There's Been an Impressive Growth Seen in MarTech Products in the Last 13 Years
by Arooj Ahmed via Digital Information World

Research Shows that There's Been an Impressive Growth Seen in MarTech Products in the Last 13 Years

Martech Tribe and Chief Martech conducted a research and found that the software products for marketing technology have transformed and grown a lot in the past 14 years. When the first survey for marketing technology software was conducted in 2011, the number of Martech software was just 150. But in 2024, this number has reached 14,106. There has been 9.304% growth in Martech products in the last 13 years and a 27.8% growth in the last 12 months.

Large Martech companies handle 13% of the total marketing technology apps 36% of Martech apps are from medium sized companies and more than 51% of the marketing technology software or apps come from companies which have less than $10 million revenue. From 2017 to 2023, most of the martech apps come from tail companies(companies with less than $10 million revenue).

There were also 3,135 marketing technology focused ChatGPT bots found in GPT store. 32% of these ChatGPT bots deal with content marketing, 8% help in social media marketing and 8% are helpful in SEO. Other ChatGPT bots that are used in Martech help in product management, video marketing, content marketing and search and social advertising.

Read next: Reddit Outpaces Rivals: Users Spend Most Time on Platform in June 2024
by Arooj Ahmed via Digital Information World

Research Exposes High Costs and Low Returns in Google’s Advertising Ecosystem

If you frequently use Google, you’ve likely encountered ads during your searches. It's a common belief that companies like Nike directly pay for their own ads, but a recent study challenges this assumption. According to research by Northeastern University, published in Proceedings of the International AAAI Conference on Web and Social Media, Google's advertising system, along with similar practices on search engines like Bing and DuckDuckGo, operates as a "sham market."

Christo Wilson, a computer science professor at Northeastern and lead author of the study, explains that companies often pay to advertise on their own brand terms—such as "Nike" or "Adidas"—only to face competition from other advertisers. This practice, known as ad poaching, compels companies to spend heavily to protect their brand's search results, even though these ads are not very effective. Wilson argues that this setup wastes marketing budgets for companies who are unable to see a significant return on their investment.

To investigate the effectiveness of these ads, Wilson’s team recruited U.S. residents and had them install a browser extension that tracked their online activity. This extension captured data on their searches, the ads displayed, and their interactions with search results and ads on Google Chrome. The study found that while some users clicked on competitors' ads, this behavior was infrequent, with a high abandonment rate.

Despite these findings, advertisers continue to invest in these ads. Wilson attributes this to Google's market dominance, which forces advertisers to comply with its advertising policies. Google’s advertising practices are highly profitable, contributing significantly to its revenue. Wilson compares this to rent-seeking behavior, where Google benefits at the expense of advertisers due to its control over the online search market.

Wilson also points out the broader economic implications of this advertising model. He suggests that the high costs of brand ads are indirectly passed on to consumers. For instance, higher prices for products like Nike shoes may partly result from the significant sums companies spend on ineffective search ads.

Regulatory scrutiny has intensified in response to these issues. In the U.S., ongoing antitrust cases against Google reflect concerns about its advertising practices. Meanwhile, India has taken more direct action by banning brand ads that violate trademark rules in 2023. Wilson believes that reforming online advertising practices and increasing market competition could address these issues. However, as long as Google maintains its dominance, significant change may remain elusive.

In conclusion, Wilson’s study highlights critical flaws in the current advertising ecosystem, suggesting that Google's practices create inefficiencies that affect both businesses and consumers. The research advocates for greater competition in online search to rectify these systemic issues.

Image: DIW-Aigen

Read next: X's Hidden Update, Your Tweets Now Fuel Grok AI! Here’s How to Opt-Out!
by Arooj Ahmed via Digital Information World

X's Hidden Update, Your Tweets Now Fuel Grok AI! Here’s How to Opt-Out!

Elon Musk’s social network X, formerly known as Twitter, has recently implemented a new policy that allows the platform to utilize user data to train its AI model, Grok. This change, quietly activated by default, enables X to use users’ tweets, interactions, inputs, and results with Grok for the training and fine-tuning of the AI system. The update was discovered by users, who noted that X had not made any formal announcement regarding this shift.

This policy enables Grok, an AI developed by X.ai, another entity under Musk’s ownership, to access extensive user data. The intent is to improve Grok’s capabilities, making it a competitor to established models like OpenAI’s ChatGPT. Although this move may appear aggressive, it mirrors the AI industry practices. Several AI giants and LLMs have used publicly available data for training their AI systems.

While some users are accepting of the policy, seeing their contribution as a minor part of advancing AI technology, others strongly criticize the lack of notice and the automatic opt-in. They view the default data-sharing setting as an unacceptable breach of privacy.

X added a setting for "we'll take your data to train grok" without any notice and just defaulted to "yes" for everyone.

This is BAD. pic.twitter.com/UkR1Tx0swd

— Kevin Schawinski (@kevinschawinski) July 26, 2024

Users concerned about their data being used can adjust their settings. This must be done through the desktop version of X (as this setting is not available on mobile devices for now).

Users should go to the "Privacy and Safety" settings, that can be accessed simply by visiting this page: https://x.com/settings/grok_settings.

Now on that page, select "Grok," and uncheck the box that authorizes data sharing for training purposes.

Additionally, users have the option to delete their conversation history with Grok.

The policy shift has attracted criticism from privacy regulators, especially in Europe. The Irish Data Protection Commission (DPC), responsible for overseeing X’s compliance with the General Data Protection Regulation (GDPR), has expressed surprise at the automatic opt-in. The DPC has been engaging with X on data processing matters and is seeking clarification on the policy’s compliance with GDPR. Similar data-sharing plans by Meta were recently suspended in Europe due to regulatory concerns.

Read next: A New Research Shows that AI Models Trained by Other AI Models Often Produce Incoherent Output
by Asim BN via Digital Information World

A New Research Shows that AI Models Trained by Other AI Models Often Produce Incoherent Output

A new research published in Nature shows that all the AI models that are trained on AI generated data often give out worse output. A computer scientist from the University of Oxford says that just like printing a picture over and over again produces bad results in the end, AI models also produce content that is incoherent and nonsensical and the term for it is “model collapse”.

The research used many AI models, including the big ones like ChatGPT-3 and found that this model was trained on Common Crawl, an online website with over 3 billion web pages. And as many AI models are using AI generated junk websites, the problem is likely to get worse. The effects of cluttering of data are going to be seen in poor and slow performances of AI models.

To find out how performance of these AI models can be affected, the researchers tuned a large language model on data from Wikipedia and then tuned other generations of that LLM on the output of the first model. The results showed that the LLMs that were tuned on the output of another LLM were more perplexed. The first input was coherent and had well structured sentences. But in the final generation, the LLM showed incoherent and nonsensical sentences.

The researchers say that there is a need to train AI models from the output of other AI models because data on the internet is limited. AI models will have to be trained on synthetic data under controlled environments.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

CIRP Reports that Many Android Users are Switching to iPhone But It is Not Good for Apple

CIRP has published its new study which shows that many Android users are switching to iPhone. Even though many Android users are switching to Apple devices, iPhone 15 sales are still lower than iPhone 14. This can have positive as well as negative effects. In June 2023, 10% of Android users switched to iPhone but now the percentage has reached 17% in June 2024.

This increase in customers may look good for Apple but it is opposite from that. Many Android users who are switching to iPhone say that they don't need the latest iPhone from Apple as they are happy to buy the iPhone with the new OS at a reasonable price. This could result in weaker sales of latest iPhone models, like iPhone 15 right now.

In addition to that, CIRP also reports that there are only a few iPhone users who are upgrading to the latest model. iPhone users used to upgrade to new models as soon as they could, which was always advantageous to Apple. But users not upgrading their iPhone is leading to lower sales of latest models. If we compare the data of Android switchers in March 2024, 17% of Android users switched to iPhone in Q2 which is the highest since 2017 (21%).

Read next: Researchers Are Trying to Identify Deep Fakes Using Astronomy Methods
by Arooj Ahmed via Digital Information World

Researchers Are Trying to Identify Deep Fakes Using Astronomy Methods

Astronomy is also now being used to find deep fakes by looking into the eyes of people. According to Nature, University of Hull researchers in the UK found that it is possible to recognize deep fakes using the CAS System. The CAS System is used by astronomers to measure the concentration, smoothness and asymmetry of galaxies. Astronomers are also going to use the Gini coefficient which is used to analyze the reflection of light in people’s eyes in pictures.

Adejumoke Owolabi, a researcher of the study, used these two methods and found 70% of the results of images showed deep fakes. This means that due to this method, it is easy to find images that are fake by looking at the reflection in people’s eyes. Although this method isn’t always 100% accurate, it can still help in identifying deep fakes.

When the researchers presented the idea to the UK's National Astronomy Meeting, it was liked by the people. Kevin Pimbblet, director of the Centre of Excellence for Data Science, Artificial Intelligence and Modelling at the University of Hull, UK says that a real photograph can be recognized by seeing the reflection in one’s eye and seeing the reflection in another eye that should also be similar. Many scientists are trying to find methods of identifying deep fakes and other methods like facial movements detection using AI, detecting oddly blinking eyes and checking the pulse in people's faces are also being used.

Meta and OpenAI are investing millions of dollars to look for ways that could identify deep fakes. The FBI and Department of Defense are also concerned about the rise in deep fakes that can be harmful to national security. If we use AI detection methods, they can also help AI models improve. The deep fakes are getting more realistic with each passing day and soon, most people are going to believe anything they see online.

Image: DIW-Aigen

Read next: A New Study Reveals that Many LLMs are Not Able to Perform Basic Reasoning Tasks
by Arooj Ahmed via Digital Information World

A New Study Reveals that Many LLMs are Not Able to Perform Basic Reasoning Tasks

In a paper by researchers from the Juelich Supercomputing Center (JSC), the School of Electrical and Electronic Engineering at the University of Bristol and the LAION AI laboratory, the researchers of the study found that many LLMs perform reasoning but they cannot perform it consistently. The study says that most of the time, LLMs can even perform basic tasks such as simple logical questions.

The authors of the study say that technological and scientific experts should reassess all large language models to analyze their capabilities. They also say that the weaknesses and failures of LLMs should also be analyzed to reveal all the weak basic reasoning capabilities of these LLMs.

The researchers termed this problem as AIW and used different problems to assess how different models behave when faced with different systematic problems. The researchers gave LLMs questions like, “Alice has X brothers and Y sisters. So how many sisters do Alice’s brothers have?”. This was a simple but varied answer and the solution should be to add Y+1 which even school kids could do.

Even though it was a simple question, many LLMs couldn't solve it. They answered with illogical reasoning and gave incorrect answers, disguising them as correct. It is not that big a problem that these AI models give incorrect answers, the bigger problem is that they give such arguments that it becomes hard to not trust them. They were so confident in their arguments that it was hard to identify if their answers were correct or not.

Many LLMs showed a correctness rate below 50%, with larger models like ChatGPT-4o showing 60% correctness. Even though larger AI models are better than smaller ones, they are still not that good in reasoning. The AIW problems were proof that AI models are not capable of basic reasoning. Even though many of them showed high scores in other tests for their capabilities, most of them couldn't solve AIW problems.

Image: DIWAigen

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by Arooj Ahmed via Digital Information World

TikTok Fined For Inaccuracies In Its Parental Safety Controls Data

Social media giant TikTok has received a massive fine for giving inaccurate parental safety control data to a regulator in the United Kingdom.

The company has been penalized a whopping 1.87M British Pounds for the act which includes delays in making the reports that led to a further delay in the publishing of Ofcom’s transparency report linked to child safety.

The report was designed to give parents greater insights into which platforms are the safest for their children to use. As a part of this particular study, we saw Ofcom request TikTok, Snap, and a few other platforms for answers regarding how minors are protected on the app from gaining access to content that’s not suitable for their age.

This includes a long list of explicitly themed videos on TikTok as well as what the app was doing in terms of the Family Pairing offering that helps parents gain more control of young users' actions.

For those who might not be aware, the UK’s Communication Act forces companies working online to give out clear-cut and quick responses in terms of what it’s doing to comply with the law and ensure young users are up to date with the most comprehensive and timely data.

Ofcom has long been famous for scrutinizing apps and their respective security features that gather data. It’s a crucial way of holding them accountable for the daily workings of the app and also to ensure young users remain safe at all times.

They added more details on how getting data from apps like TikTok is part of the law and therefore when requests are generated, the response must be rolled out promptly. Those who fail to comply would be penalized and in this case, it’s TikTok.

What is interesting is that when Ofcom requested TikTok’s data, it was submitted by the app in September of last year. But after doing so, the company went back on its own claims, adding how the data that it sent was not accurate. Therefore, it was rolling out an internal investigation on this front to better understand the cause of this problem and why TikTok’s reportings were full of inaccuracies.

Ofcom mentioned through another investigation that TikTok failed in other areas too like governance processes. There were not enough checks being carried out on the app and any errors that may have taken place were not brought to the attention of the regulator. This further led to substantial delays in finding the right solution on this front.

Ofcom issued a direct response in terms of how TikTok’s delay resulted in them getting rid of details on how the app’s parental controls were so effective and that led to a great disruption of work on their part and limited transparency. Additionally, the app was not up to the mark in terms of giving progress updates.

While TikTok did end up giving the right data this year in March, it was more than seven months later than what the real deadline should have been. What is interesting is how the fine presented to TikTok is 25% less than what was originally planned because the app did admit to its wrongdoing and hence wished to settle the case in the end.

A rep for TikTok adds that Ofcom is well aware that TikTok did not intentionally carry out a breach and there was deliberation or reckless behavior involved. It did behave proactively in terms of admitting that it made an error and therefore was more than welcome to accept solutions that could prevent such instances from taking place again.

Image: DIW-Aigen

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by Dr. Hura Anwar via Digital Information World

Stop Googling And Start Exercising Your Brain With 9 Healthy Habits To Prevent Old-Age Dementia, Top Academic Expert Reveals

Reaching for Google is one of the most common and convenient ways to find a solution to your problem. And the arrival of AI has made things so much easier for many of us.

However, what we fail to realize is that time and time again, we’re setting ourselves up for disasters in the long run by relying so much on technology.

A top professor from Canada wants the world to know that it’s about time that we took the right measures to curb dementia. He’s enlisted 9 simple and healthy habits that will make the biggest difference in the world, even though you might not see the impact right now when you’re young.

His latest book titled iMind: Artificial and Real Intelligence sheds light on how the tech world is too reliant on AI to get the job done. It’s often at the expense of our natural health or real intelligence. So to return to your natural or human mind, you can reverse the process by instilling these nine simple and healthy habits. After all, your brain is one of your body’s biggest assets.

For starters, play brain games to better engage in daily healthy exercises for the mind. This would develop your memory skills and also test it along the way.

Secondly, work on your associative memory. This entails linking new data to what is already known and therefore gives rise to a new dictionary of substance and meaning. Next, read books out loud and see the difference. This ensures you’re relying on multiple senses and also assists with reinforcing your memory skills.

Turn your daily activities into more lively and fulfilling moments instead of entering the autopilot mode. And what many of us forget is to add rest along the way. You must dedicate one day each week where you do nothing but rest and enter that mode of actual relaxation.

What is great is how he also emphasizes taking care of your mental health when you’re as young as your 20s and 30s. This is when you need to seriously review that lifestyle of yours.

Don’t forget to add that healthy diet because at the end of it all, you are what you eat and great nutrition will give rise to the best brain functioning abilities. Last but not least, keep alcohol consumption at a bare minimum. Getting rid of it entirely has great proven benefits that would lower your chances of getting dementia.

The book by Elmasry is not just about great tips for the healthy mind but also about how human minds work, how microchips are designed, and the world of AI. It’s complex but very intriguing to see how so many elements are so diverse yet interlinked with one another. Who knew the world of smartphones and tech could draw a parallel with the human brain, right? We’re getting our hands on this soon and hope you can too.

Image: DIW-Aigen

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by Dr. Hura Anwar via Digital Information World

Alphabet Reports Q2 2024 Gains: Google’s Revenue Up 14%, YouTube Revenue Rises to $8.67B

Google’s parent firm Alphabet is rolling out its financial records for Q2 of 2024 and it’s safe to say that there’s been an increase in revenue.

Figures struck $84.7B which was a rise of 14% when compared to the same time last year. On the other hand, the net income also rose to $23.6B when compared to 2023.

As usual, the company’s search sector was responsible for generating the greatest revenue which was $48.5B but another note worth mentioning is how its Cloud division was also able to bring in a huge revenue figure for the first time that stood at $10B.

Revenue from tech giant YouTube’s division stood at $8.67B for this quarter. This was up from the previous $7.6B that was recorded last year. The figures today were not the true representation of what analysts were expecting from Google as mentioned by CNBC.

The firm’s Other Bets domain which entails its sef-driving Waymo division managed to bring in a massive $365M for this quarter. This was up from the previous $285M that arose at the same time last year.

Sundar Pichai was quick to highlight the ordeal and mentioned that the company’s strong performance for this quarter was a clear representation of its great strength when it comes to Cloud and Search. The firm is also working on innovations for its AI Stack. The infrastructure and research teams are positioning the organization into a stronger leadership role as the world of tech keeps evolving.

Meanwhile, the company’s shares rose by 1% in the after-hour period of trading as it seems like traders are appreciating the figures despite the company missing out on predicted revenue for YouTube ads this time.

Image: DIW-Aigen

Read next: Social Media Content Creation Is More Alluring Than Classic Jobs For Most People, New Study Proves
by Dr. Hura Anwar via Digital Information World

Social Media Content Creation Is More Alluring Than Classic Jobs For Most People, New Study Proves

A new study is shedding light on the growing trends of online content creation.

The news comes to us thanks to research published by IZEA that highlighted how many individuals would much rather take part in being an online content creator versus a classic or traditional office job.

Close to 54% of the masses between the age bracket 18 to 60 mentioned how they would be much happier if they got rid of their jobs if they could make a living as full-time social media influencers.

This study included close to 1200 social media users in the US and also explored those who might consider being a digital creator a great profession.

It’s interesting how there was little to no divide in opinions based on generation. Moreover, people of various ages had their say including boomers to Gen Z and many felt it was better to make the leap from classic jobs to content creation.

The CEO of IZEA is speaking about how this is not just a current trend but a clear idea of how such values could reshape our future in terms of work. It also goes to show how plenty of digital apps could reshape classic models for employment.

A whopping 26% of all users who were surveyed mentioned how they consider themselves to be influencers because they spend a lot of time online. Moreover, a huge number of people still struggle with juggling other types of jobs but it was interesting to see how 59% of the majority of influencers spoke about working as a full-time employee.

These are those whose incomes were over the $100K mark and were still soaring with time.

There are so many users on social media apps that continue to attain a huge chunk of followers by sharing plenty of experiences linked to fashion, beauty, travel, and even finance. The platforms are plenty with many having accounts everywhere like Instagram, Facebook, and TikTok.

When they publish viral content, scale their audiences online, and earn funds via partnerships with different businesses, some also take part in affiliate marketing of goods and services and make use of other kinds of income streams. A few quit full-time positions to be a creator and are happy.

• Also read: Dream Jobs at Big Tech: Best and Worst Companies to Interview For

A lot of the appeal to being an influencer full-time is the funds that could be produced by generating content for different businesses. On average, the survey showed how many were producing incomes between the range of $100K to $200K in 2023. That’s a major 11% rise from 2023.

This year, we’re going to see more funds pour into this sector, as predicted by one leading US marketing firm as the figures for sponsored content will see a remarkable increase to $8B which is a whopping 16% rise YoY.

We must admit that the industry is not very stable financially all the time. It could go through periods of instability and some full-time influencers were witnessed returning to the corporate world. There was a certain figure of people that enjoyed building skillsets and working alongside teams. And we have to admit, working full-time as a creator is not easy.

It’s actually giving a false impression of glamor than what the reality is and that can be disappointing to some who come with high hopes.

On the user’s end, it’s getting more and more difficult to trust creators as more than 64% would establish a brand’s partnership offer for the sake of money only. So perhaps seeing shouldn’t always be believing, right?

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by Dr. Hura Anwar via Digital Information World

Dream Jobs at Big Tech: Best and Worst Companies to Interview For

It wouldn’t be wrong to say that securing your dream job at big tech does not come easy. Not only are these high-profile organizations looking for top-notch talents from the best candidates around the globe, but the interview process can be daunting.

While each and every firm has its own way of interviewing those interested in the job, you’ll be amazed to learn how the companies tend to vary so much. It’s all thanks to interviewees who are letting us know how one job interview tends to compare to the next.

Questions like whether or not interviews at Apple are tougher than at Google are no longer a mystery, thanks to a latest study by ResumeIO which took the time to analyze more than 100k interview reviews throughout 14 large tech organizations.

A limited number of industries are giving out more benefits than what’s on offer by big tech giants. Hence, we thought it would be interesting to see what real interviews at these places are like. So let’s take a look at the best and worst places to go for interviews, all based on Glassdoor reviews.

In case you’re wondering, search engine giant Google is the toughest company in the world of big tech to land an interview for. Many went as far as to rate it 3.5 out of 5. On the other end of the spectrum, Apple came in on top as the best place to go for an interview, with the majority scoring it 4.2 out of 5.

Amazon had the greatest disparity in terms of people’s opinions about interview difficulties. Some felt the various positions on offer determined how easy or difficult your interview could end up being. For instance, a Fulfillment Associate position got 1.1 ratings out of 5. Yikes, that sounds scary!

When you look at the industry as a whole, roles requiring more tech experience are much more difficult than those without tech expertise.

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Shedding more light on the study’s claims about Google, we saw the search engine giant be called out for having the hardest interview process. It managed to outrank plenty of other archrivals of the industry in this regard including Meta, Apple, and Netflix.

Many find the news interesting because Google is known for promoting creativity and thinking outside the box. But from what we can confirm from Glassdoor reviews, interviewers are no longer keen on asking riddles or fun brain teasers. Instead, they’re throwing complex coding queries and those linked to math in the candidates’ direction. And if you think it couldn’t get worse than that, well, there’s a limited timeframe for you to complete it. Now that’s what you call pressure.

There are multiple interview rounds so that also makes it all the more daunting.

Looking at Apple, job applicants had a complete turnaround of an opinion. Again, it’s surprising considering how big of a name the iPhone maker has in the world of tech.

Some interviews go as long as 45 minutes but the experience applicants faced was always friendly with positive attitudes of the recruitment manager. This coupled with quick turnaround times in terms of feedback and hiring is another plus point that puts Apple at the top of the list.

Candidates were also delighted that their interview was more casual and conversational as compared to those where you feel like you’re being interrogated. This came with reviews about how the hirers were super engaged with the candidate at all times and were attentive to every little detail or aspect related to them.

The study also shared which tech roles were the simplest to interview for. And when you take tech firms like Tesla into consideration, Production Associate is the answer but the most complex interview would be Design Engineer in Elon Musk’s top firm.

This just goes to prove how competition for various roles varies widely in the same organization and how candidates for a single position reported completely different experiences when considering another role.

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If you’re an intern or a graduate, the study proved how these candidates had the best overall interview experience at some of the biggest tech giants. Obviously, less technical positions again scored hired like Netflix’s coordinator role had 4 star ratings while the same firm’s data scientist role got a rating of just 2 for its complex and difficult interview process.

The research also highlighted how software engineer roles at tech giants Google and Amazon were the hardest to interview for. It’s not too surprising as these roles on giant platforms need some of the best candidates to solve massive problems including coding hurdles. Netflix and Uber software engineering positions had the worst scores for interviews.

So as you can see, it’s never easy to nail that Big Tech interview but this study proves some places aren’t as intimidating as others.

Take a look at the infographics below for more insights:

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by Dr. Hura Anwar via Digital Information World