#FactCheck: Viral video blast of fuel tank in UAE Al Hariyah Port portray as Russia-Ukraine Conflict

Executive Summary:

A viral video of the Argentina football team dancing in the dressing room to a Bhojpuri song is being circulated in social media. After analyzing the originality, CyberPeace Research Team discovered that this video was altered and the music was edited. The original footage was posted by former Argentine footballer Sergio Leonel Aguero in his official Instagram page on 19th December 2022. Lionel Messi and his teammates were shown celebrating their win at the 2022 FIFA World Cup. Contrary to viral video, the song in this real-life video is not from Bhojpuri language. The viral video is cropped from a part of Aguero’s upload and the audio of the clip has been changed to incorporate the Bhojpuri song. Therefore, it is concluded that the Argentinian team dancing to Bhojpuri song is misleading.

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Claims:

A video of the Argentina football team dancing to a Bhojpuri song after victory.

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Fact Check:

On receiving these posts, we split the video into frames, performed the reverse image search on one of these frames and found a video uploaded to the SKY SPORTS website on 19 December 2022.

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We found that this is the same clip as in the viral video but the celebration differs. Upon further analysis, We also found a live video uploaded by Argentinian footballer Sergio Leonel Aguero on his Instagram account on 19th December 2022. The viral video was a clip from his live video and the song or music that’s playing is not a Bhojpuri song. 

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Thus this proves that the news that circulates in the social media in regards to the viral video of Argentina football team dancing Bhojpuri is false and misleading. People should always ensure to check its authenticity before sharing.

Conclusion:

In conclusion, the video that appears to show Argentina’s football team dancing to a Bhojpuri song is fake. It is a manipulated version of an original clip celebrating their 2022 FIFA World Cup victory, with the song altered to include a Bhojpuri song. This confirms that the claim circulating on social media is false and misleading.

• Claim: A viral video of the Argentina football team dancing to a Bhojpuri song after victory.
• Claimed on: Instagram, YouTube
• Fact Check: Fake & Misleading

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Introduction

Empowering today’s youth with the right skills is more crucial than ever in a rapidly evolving digital world. Every year on July 15th, the United Nations marks World Youth Skills Day to emphasise the critical role of skills development in preparing young people for meaningful work and resilient futures. As AI transforms industries and societies, equipping young minds with digital and AI skills is key to fostering security, adaptability, and growth in the years ahead.

Why AI Upskilling is Crucial in Modern Cyber Defence

Security in the digital age remains a complex challenge, regardless of the presence of Artificial Intelligence (AI). It is one of the biggest modern ironies, and not only that, it is a paradox wrapped in code, where the cure and the curse are written in the same language. The very hand that protects the world from cyber threats can very well be used for the creation of that threat. This being said, the modern-day implementation of AI has to circumvent the threats posed by it or any other advanced technology. A solid grasp of AI and machine learning mechanisms is no longer optional; it is fundamental for modern cybersecurity. The traditional cybersecurity training programs employ static content, which can often become outdated and inadequate for the vulnerabilities. AI-powered solutions, such as intrusion detection systems and next-generation firewalls, use behavioural analysis instead of just matching signatures. AI models are susceptible, nevertheless, as malevolent actors can introduce hostile inputs or tainted data to trick computers into incorrect classification. Data poisoning is a major threat to AI defences, according to Cisco's evidence.

As threats surpass the current understanding of cybersecurity professionals, a need arises to upskill them in advanced AI technologies so that they can fortify the security of current systems. Two of the most important skills for professionals would be AI/ML Model Auditing and Data Science. Skilled data scientists can sift through vast logs, from pocket captures to user profiles, to detect anomalies, assess vulnerabilities, and anticipate attacks. A news report from Business Insider puts it correctly: ‘It takes a good-guy AI to fight a bad-guy AI.’ The technology of generative AI is quite new. As a result, it poses fresh security issues and faces security risks like data exfiltration and prompt injections. 

Another method that can prove effective is Natural Language Processing (NLP), which helps machines process this unstructured data, enabling automated spam detection, sentiment analysis, and threat context extraction. Security teams skilled in NLP can deploy systems that flag suspicious email patterns, detect malicious content in code reviews, and monitor internal networks for insider threats, all at speeds and scales humans cannot match. 

The AI skills, as aforementioned, are not only for courtesy’s sake; they have become essential in the current landscape. India is not far behind in this mission; it is committed, along with its western counterparts, to employ the emerging technologies in its larger goal of advancement. With quiet confidence, India takes pride in its remarkable capacity to nurture exceptional talent in science and technology, with Indian minds making significant contributions across global arenas.

AI Upskilling in India

As per a news report of March 2025, Jayant Chaudhary, Minister of State, Ministry of Skill Development & Entrepreneurship, highlighted that various schemes under the Skill India Programme (SIP) guarantee greater integration of emerging technologies, such as artificial intelligence (AI), cybersecurity, blockchain, and cloud computing, to meet industry demands. The SIP’s parliamentary brochure states that more than 6.15 million recipients have received training as of December 2024. Other schemes that facilitate educating and training professionals, such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer are,

• Pradhan Mantri Kaushal Vikas Yojana 4.0 (PMKVY 4.0)
• Pradhan Mantri National Apprenticeship Promotion Scheme (PM-NAPS)
• Jan Shikshan Sansthan (JSS)

Another report showcases how Indian companies, or companies with their offices in India such as Ernst & Young (EY), are recognising the potential of the Indian workforce and yet their deficiencies in emerging technologies and leading the way by internal upskilling and establishing an AI Academy, a new program designed to assist businesses in providing their employees with essential AI capabilities, in response to the increasing need for AI expertise. Using more than 200 real-world AI use cases, the program offers interactive, organised learning opportunities that cover everything from basic ideas to sophisticated generative AI capabilities. 

In order to better understand the need for these initiatives, a reference is significant to a report backed by Google.org and the Asian Development Bank; India appears to be at a turning point in the global use of AI. As per the research, “AI for All: Building an AI-Ready Workforce in Asia-Pacific,” India urgently needs to provide accessible and efficient AI upskilling despite having the largest workforce in the world. According to the paper, by 2030, AI could boost the Asia-Pacific region’s GDP by up to USD 3 trillion. The key to this potential is India, a country with the youngest and fastest-growing population.

Conclusion and CyberPeace Resolution

As the world stands at the crossroads of innovation and insecurity, India finds itself uniquely poised, with its vast young population and growing technologies. But to truly safeguard its digital future and harness the promise of AI, the country must think beyond flagship schemes. Imagine classrooms where students learn not just to code but to question algorithms, workplaces where AI training is as routine as onboarding. 

India’s journey towards digital resilience is not just about mastering technology but about cultivating curiosity, responsibility, and trust. CyberPeace is committed to this future and is resolute in this collective pursuit of an ethically secure digital world. CyberPeace resolves to be an active catalyst in AI upskilling across India. We commit to launching specialised training modules on AI, cybersecurity, and digital ethics tailored for students and professionals. It seeks to close the AI literacy gap and develop a workforce that is both morally aware and technologically proficient by working with educational institutions, skilling initiatives, and industry stakeholders. 

References

1. https://www.helpnetsecurity.com/2025/03/07/ai-gamified-simulations-cybersecurity/ 
2. https://www.businessinsider.com/artificial-intelligence-cybersecurity-large-language-model-threats-solutions-2025-5?utm
3. https://apacnewsnetwork.com/2025/03/ai-5g-skills-boost-skill-india-targets-industry-demands-over-6-15-million-beneficiaries-trained-till-2024/ ‍
4. https://indianexpress.com/article/technology/artificial-intelligence/india-must-upskill-fast-to-keep-up-with-ai-jobs-says-new-report-10107821/

Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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