Tech Giants Fuel AI Server Boom, Contributing 30% to Global Server Market Revenue

To meet the skyrocketing progression and demand of AI systems, AI servers have taken over the global server market as one-third of the total servers' shareholders.

The biggest surge in the demand for AI servers happened in the second quarter of 2024, with an increase of 35% due to high demand. Companies like Dell, HPE and Supermicro are the three biggest contributors to AI server utilization. Similarly, Microsoft Meta and Microsoft also contribute to the dominance of AI servers in the global server market.

According to CPR's annual report, a great linear trend was seen following the release of ChatGPT in 2022. The reason for this rapid increase was the GenAI boom. With a 35% increase in demand from prior to the year 2024, the revenue for Global Servers in the second quarter of 2024 was $45,422 million, as the AI servers contributed to 30% of this total revenue generation.

To shed light on the massive growth of AI servers, the annual revenue in the second quarter of 2023 was around $25,000 million, and in almost one year, it reached $ 45,422 million and still rising.

ODM, which is a server manufacturing server provider commissioned by the Big Four, Amazon, Meta, Google and Microsoft, is the biggest AI server contributor and results for 44% of the total AI servers.

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by Ahmed Naeem via Digital Information World

Research Shows Despite AI Investments, Employees Aren’t Ready to Embrace the Change

A new study conducted by The Upwork Research Institute finds that many employees are not prepared for adoption of AI in their workplaces despite their companies pouring billions of dollars into AI. The survey found that 56% of the respondents said that only 20% of their employees know how to build AI. This means that the rest of the 80% of employees have no idea how to work around AI tools. 57% of the business leaders also said that only a quarter of their employees can use AI without anyone's help.

The managing director and head of The Upwork Research Institute says that they did this research to see how companies are embracing this new innovative world. There is a great risk if companies are investing millions in the name of AI but their employees are not too enthusiastic about it. Many companies are not addressing the issue but some big companies are trying to take a proactive approach to this issue.

63% of the companies are making upskilling an important part of their strategies while 40% are prioritizing the integration and convergence of new technologies. As compared to that, 23% of the companies are applying technologies in a very isolated way.

Right now, companies are prioritizing hiring people with the knowledge of the latest technology and skills so the workers can work well in an AI-centric environment. The aim of this study was to find out what strategies companies are applying to encourage AI adoption. It was also like a guide for companies about using tools and strategies they need to survive in this AI era.

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by Arooj Ahmed via Digital Information World

OpenAI is Being Used by Threat Actors to Carry Out Malicious Operations

The latest report by OpenAI confirms that ChatGPT is being used by threat actors from China and Iran for their operations. Proofpoint reported the first signs of these kinds of activities in April and since then OpenAI has tried to disrupt over 20 million cyber operations which were abusing the use of ChatGPT for different cyber attacks.

OpenAI first outlined SweetSpector which is a Chinese adversary which is targeting Asian governments. SeretSpector also targeted OpenAI directly and sent them phishing emails with malicious ZIP attachments by disguising itself as the email address of OpenAI employees. If opened, these attachments lead to SugarGhost RAT spreading on the victim's computer.

Further investigation found that SweetSpector was using a bunch of ChatGPT accounts to perform scripting and vulnerability analysis. Threat actors asked ChatGPT a lot of requests like asking for information on specific CVE numbers, asking how internet wide scanners are made, asking for ways to exploit infrastructure, asking for help to debug codes and many other requests.

The second group known as CyberAv3ngers is an Iranian Government Islamic Revolutionary Group which is targeting the industrial systems in Western countries. These threat actors asked ChatGPT questions related to Python scripts, Programmable Logic Controllers (PLCs), and developing custom bash. The third group was Storm-0817, which was also Iranian-based. ChatGPT was used by the group to create Instagram scrapers, debug malware and translate LinkedIn profiles into Persian.

OpenAI banned all the accounts that were made by threat actors and shared all of the information to cybersecurity partners. This shows that AI tools can be used to make offensive operations from planning to execution.

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by Arooj Ahmed via Digital Information World

TikTok Accused of Harming Teens’ Mental Health in Leaked Lawsuit

According to a new report by NPR and Kentucky Public Radio, the TikTok team is aware of the harm TikTok causes to teens and young people. This finding was made after 14 US attorney generals took TikTok to court after suing the platform for causing harm to the mental health of children. Even though the papers those attorneys submitted to the court were kept hidden, some reporters got successful in reading the contents of those papers.

The contents of the papers stated that TikTok is affecting the thinking, analyzing, memorizing and conversational skills of children which is leading to negative mental health and anxiety related issues. The suit also talked about a feature which allows parents to limit their children's time spent on TikTok.

But apparently, this feature only reduces the average 1.5 minutes of TikTok usage. TikTok just claims that they are trying to improve the public trust on the platform but in truth, it isn't doing anything. A TikTok representative said that it is very careless that JJ NPR has published some contents of the lawsuit because it is misleading the public as there is no context to them.

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Read next:

• Researchers Have Developed a New Algorithm Called RoVi-Aug Which Can be Used to Train Other Robots

• Instagram Usage Jumps Among Teens in 2024, TikTok Popularity Rises

• Study: ChatGPT Matches Terrorist Themes With TRAP-18, Identifies Cybercrimes

by Arooj Ahmed via Digital Information World

Study: ChatGPT Matches Terrorist Themes With TRAP-18, Identifies Cybercrimes

According to a study by Charles Darwin University (CDU) researchers published in the Journal of Language Aggression and Conflict found that ChatGPT can be used to identify cyberterrorist. The researchers used four sample statements by terrorists that were given to ChatGPT. The researchers asked ChatGPT about the main themes and topics in the text, and what messages it finds behind those statements.

ChatGPT was able to find the terrorists behind those statements and found the motivation and purpose of each text. The themes concluded by ChatGPT were opposition to secularism and apostate rulers, criticism of mass immigration, retaliation and self-defense, opposition to multiculturalism, struggle and martyrdom and more. ChatGPT was easily able to identify clues that hinted at violence.

The themes identified by ChatGPT also matched with Terrorist Radicalization Assessment Protocol-18 (TRAP-18), a tool which is able to identify potential terrorists. The lead author of the study said that ChatGPT can easily be used as a tool to identify terrorists and it doesn’t even need any additional training to do so.

Even though many LLMs cannot take the place of human judgment, they can still act as an assistant to offer valuable investigation clues. Even though there are concerns about weaponization of AI tools, they can still be helpful in providing a great map to identify terrorists.

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by Arooj Ahmed via Digital Information World

Instagram Usage Jumps Among Teens in 2024, TikTok Popularity Rises

According to the latest research by Piper Sandler, Instagram is the most used app among teens but TikTok is also popular. The survey of 13,515 US teens shows 30% are using Netflix more than YouTube (27%). TikTok (39%) is the most liked app among teens, while Instagram (32%) is the second most liked social media app.

On the other hand, Instagram is being used by 87% of the teens in Fall 2024. This is a 7% increase in its usage from last year. On the other hand, TikTok usage increased from 74% in Fall 2023 to 79% in Fall 2024. Snapchat is the third most used app by teens this year, but it saw a 3% decrease from last year. In 2023, 74% of teens were using Snapchat but now its usage has come down to 71%.

Pinterest and Facebook are also seeing some rise in usage among teens. Pinterest saw a 6% increase in its usage from last year. 41% of the teens are using Pinterest this year, making it the fourth most used app. Facebook saw a 2% increase with 30% of teens using the app this year. Meta reported that 40 million young adults are using Facebook this year in the USA and Canada every day. It can be due to AI-recommended content too.

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by Arooj Ahmed via Digital Information World

Researchers Have Developed a New Algorithm Called RoVi-Aug Which Can be Used to Train Other Robots

Robots are being used these days to perform various tasks and their algorithm is important for them to perform the actual work. Researchers at UC Berkeley have developed a RoVi-Aug framework which will augment robotic data and will help transferring the data in other robots. Modern machine learning and generative models have generalized their data which is used in almost all of the models. So, the researchers wanted to make something similar to that for the robots that can generalize their data.

The researchers had been trying to generalize robotic data since the start of this year and had been doing various experiments on it. In their previous research, the researchers realized that there are some challenges in generalizing robotic data too. They found that if the robotic data is unevenly distributed, it can become less effective in teaching other robots the same skills.

But the researchers soon found out that a lot of robots have uneven datasets, including the Open-X Embodiment (OXE) dataset which is widely used for training robotics algorithms. This type of imbalance can limit the performance of robots too. To solve this issue, researchers proposed a new algorithm called Mirage which uses a technique called cross-painting to transform unseen robots into source robots. But there are some limitations of this algorithm too.

First of all, it needs exact robot models and cameras, and cannot adjust with camera angles. As an alternative, the researchers presented RoVi-Aug which is flexible and adaptable and can create synthetic images that show robots tasks from different angles.

RoVi-Aug also doesn’t require any extra processing during its deployment and allows changing camera angles from different perspectives. It can help researchers to train other robots because it has precise camera setups which are essential for robot training. RoVi-Aug is also cost-effective and can help other robots improve in learning and training.

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by Arooj Ahmed via Digital Information World