#FactCheck - Misleading Video Allegedly Depicting Trampling of Indian Tri-colour in Kerala or Tamil Nadu Circulates on Social Media

Executive Summary

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Amid reports of attacks on ships in the Gulf of Oman that led to the death of three Indian nationals, a video showing a person lying injured on a ship is being widely circulated on social media. The clip is being shared with the claim that the United States sent the body of a deceased Indian sailor to India in a “wrapped” condition. CyberPeace Research Wing research found the claim to be misleading. The viral video is unrelated to any recent incident involving Indian nationals and is, in fact, from a mock drill conducted on board a ship.

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Claim:

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An Instagram user ‘fakirchand.sharma’ shared the video on June 15, 2026, claiming that an Indian sailor, identified as Nishant Urthnathan, died due to health complications on a vessel anchored at Duqm port, Oman. The post further alleged that the United States returned the body in a “wrapped” condition, sparking outrage on social media. https://www.instagram.com/fakirchand.sharma/reel/DZlsxj9TIaS , https://perma.cc/C9SF-J8ZR 

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Fact Check:

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A reverse image search of keyframes from the viral video led to an Instagram account ‘bipul_raja_vlogs’, where the same video was posted on June 10, 2026. The original caption clearly stated that the visuals were from a fire drill conducted on board a ship. https://www.instagram.com/p/DZbnZlGPAlL

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Further posts from the same account on June 15 and June 17, 2026, also show similar mock drill visuals and clarify that the content is being misused online. The account features multiple posts related to routine ship operations and training exercises. https://www.instagram.com/p/DZnEXOzCc2X

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The profile also contains several other photos and videos of crew members working on the ship. We also checked the YouTube channel linked in this profile, “Sunnybabu,” where a mock drill video was uploaded on January 21, 2026. https://www.instagram.com/bipul_raja_vlogs 

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Conclusion:

The research confirms that the viral video is unrelated to the death of any Indian sailor in the Gulf of Oman. The clip actually shows a mock drill conducted on a ship and is being falsely shared with a misleading narrative.

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Introduction

The two-day Apple’s Worldwide Developer Conference (WWDC) 2023, which was held on the 6th & 7th of June, has become an essential and highly anticipated part of our calendar as frequently as the trend. This year’s keynote announcements will include all of the usual enhancements for iOS, iPadOS, watchOS, macOS, and more. However, this year is also unique due to the unveiling of the Vision Pro headset, a brand-new Apple product.

In this blog, we will examine the exciting announcements made at Apple WWDC 2023, which was a ground-breaking event.

macOS Sonoma

macOS Sonoma, the new presentation of macOS disclosed at the WWDC full of exciting features. It comes with stunning video screensavers that show stunning scenes from all over the world. Gadgets can now be added genuinely to the work area and adjusted totally based on the client’s action. Also, it changes variety and blurring out of the spotlight while utilising applications. In addition, Death Stranding: Directors Cut for Mac announced that the Game Mode is added to make Macs more suitable for gaming. A presenter overlay enhances video presentations, and viewers can respond to them with interactive responses. Updated Safari is also included in the WebApp feature that turns frequently used websites into dedicated windows, a new Profile system for separating browsing history, and secure password sharing.  Currently, the developer beta is available and the public beta will be available in July, and the final release is anticipated for the fall.

ios 16

Apple WWDC 2023 shows the following iOS, and iOS 16 replication, offering plenty of energising highlights for iPhone and iPad clients. Apple maintains its commitment to privacy with iOS 16, which introduces enhanced privacy settings that give users even more control over their data and online privacy. Users can also personalise their devices according to their preferences thanks to the new operating system’s refinement and customisable user interface.Improved multitasking capabilities like redesigned Files app and advanced note-taking features are just a few of the productivity enhancements included in the iOS 16. With iOS 16, Apple also improves its AR capabilities, allowing developers to develop even more immersive and interactive AR experiences.

WatchOS 9

Apple WWDC 2023 carried energising updates to the Apple Watch with the presentation of watchOS 9. The Apple Watch is an essential companion for sustaining a healthy lifestyle because the most recent version of the operating system includes cutting-edge health and fitness features. WatchOS 9 gives users unprecedented control over their health, offering personalised fitness recommendations and advanced sleep tracking.

Additionally, new watch faces were added, enhancing communication capabilities and improving app performance in watchOS 9, making the Apple Watch even easier to use daily.

ios 17

Rather than focusing on major features, Apple focused on quality-of-life enhancements when it announced iOS 17 at WWDC 2023. Live Voicemail with real-time transcripts of voicemails, personalised personal contact “posters,” and video voicemails for FaceTime are all part of the update. Search filters, a catch-up arrow, live location sharing, and a safety feature called Check-In are all available in Messages. AirDrop now supports NameDrop for transferring contact information; stickers have been expanded. The autocorrect and recording features on the keyboard have been improved for accuracy. Standby in the lock screen is an intelligent home display that shows the weather, upcoming appointments, and notifications. Siri works on Standby and adjusts itself for the night. The developer beta is currently available now, and a public beta will take place next month before the full release is in the fall.

Vision Pro VR Headset

Apple unveiled the Vision Pro AR headset, their first foray into virtual reality (VR), during the WWDC keynote. The Vision Pro is a virtual reality headset that competes with PlayStation VR2 and Meta Quest 3. This is in contrast to the long-awaited Apple smart glasses. Apple put a lot of effort into making a thin and light headset by using premium materials when needed. Voice, hand, and eye commands are all used to operate the Digital Crown-equipped device. The showcases offer extraordinary clarity, which is fueled by Apple’s M2 processor with a committed R1 chip. The Vision Pro combines virtual reality (VR) and augmented reality (AR), enabling users to interact with Apple apps and gain access to the company’s existing ecosystem. The expanded reality space created by the headset’s sensors and cameras allows users to place apps in real-world environments and adjust their level of concentration. Optic ID is a security and unlocking eye-tracking technology that is incorporated into the Vision Pro. It allows for a more immersive screen experience because it is compatible with Apple accessories like Magic Keyboard and Mac. At launch, the Vision Pro supports over a hundred Apple game galleries. Disney gave a hint that Apple and Disney might work together in the future by announcing support for the Vision Pro and making the Disney Plus app available immediately. The show highlighted the headset’s lightweight plan and recommended Apple clients wear it for extended periods. However, widespread adoption may be difficult due to the high price of $3,499 (₹289,093.01 approx). Apple is expected to release the Vision Pro for public use in 2024.

15-inch MacBook Air

At the WWDC event, Apple revealed a new MacBook Air with a larger 15-inch model instead of the standard 13-inch model. The 15-inch MacBook Air features a powerful Apple M2 processor, a thin, light, and long-lasting design, and a stunning 15.3-inch Retina display. It comes in four colours and has a headphone jack, two USB-C ports, and MagSafe charging. The display has six spatial speakers, a 1080p webcam, and 500 nits of brightness. Apple claims a battery life of up to 18 hours.  

Conclusion

At Apple’s 2023 WWDC, the company demonstrated its commitment to developing technology that is user-friendly and accessible to all. Apple’s commitment to improving the user experience across all of its products is demonstrated in the updates to operating systems, improvements of Siri, breakthroughs in augmented reality, and enhancements to health and fitness.By making complex innovations more like-minded and easy to understand, Apple is enabling people to use the maximum capacity of their gadgets. Apple’s innovations at WWDC 2023 are expected to shape the future of technology, simplifying everyday tasks and revolutionising how we interact with the digital world.As we push ahead, it is exciting to guess what these advancements will proceed to develop and decidedly mean for our lives. The future holds even more incredible possibilities for all of us because of Apple’s focus on privacy, user-centric design, and pushing the boundaries of innovation. Thus, prepare to embrace a future where innovation flawlessly incorporates into our lives because of the endeavours displayed at Apple WWDC 2023.

Introduction

Generative AI models are significant consumers of computational resources and energy required for training and running models. While AI is being hailed as a game-changer, however underneath the shiny exterior, cracks are present which significantly raises concerns for its environmental impact. The development, maintenance, and disposal of AI technology all come with a large carbon footprint. The energy consumption of AI models, particularly large-scale models or image generation systems, these models rely on data centers powered by electricity, often from non-renewable sources, which exacerbates environmental concerns and contributes to substantial carbon emissions.

As AI adoption grows, improving energy efficiency becomes essential. Optimising algorithms, reducing model complexity, and using more efficient hardware can lower the energy footprint of AI systems. Additionally, transitioning to renewable energy sources for data centers can help mitigate their environmental impact. There is a growing need for sustainable AI development, where environmental considerations are integral to model design and deployment.

A breakdown of how generative AI contributes to environmental risks and the pressing need for energy efficiency:

• Gen AI during the training phase has high power consumption, when vast amounts of computational power which is often utilising extensive GPU clusters for weeks or at times even months, consumes a substantial amount of electricity. Post this phase, the inference phase where the deployment of these models takes place for real-time inference, can be energy-extensive especially when we take into account the millions of users of Gen AI.
• The main source of energy used for training and deploying AI models often comes from non-renewable sources which then contribute to the carbon footprint. The data centers where the computations for Gen AI take place are a significant source of carbon emissions if they rely on the use of fossil fuels for their energy needs for the training and deployment of the models. According to a study by MIT, training an AI can produce emissions that are equivalent to around 300 round-trip flights between New York and San Francisco. According to a report by Goldman Sachs, Data Companies will use 8% of US power by 2030, compared to 3% in 2022 as their energy demand grows by 160%.
• The production and disposal of hardware (GPUs, servers) necessary for AI contribute to environmental degradation. Mining for raw materials and disposing of electronic waste (e-waste) are additional environmental concerns. E-waste contains hazardous chemicals, including lead, mercury, and cadmium, that can contaminate soil and water supplies and endanger both human health and the environment. 

Efforts by the Industry to reduce the environmental risk posed by Gen AI 

There are a few examples of how companies are making efforts to reduce their carbon footprint, reduce energy consumption and overall be more environmentally friendly in the long run. Some of the efforts are as under:

• Google's TPUs in particular the Google Tensor are designed specifically for machine learning tasks and offer a higher performance-per-watt ratio compared to traditional GPUs, leading to more efficient AI computations during the shorter periods requiring peak consumption. 
• Researchers at Microsoft, for instance, have developed a so-called “1 bit” architecture that can make LLMs 10 times more energy efficient than the current leading system. This system simplifies the models’ calculations by reducing the values to 0 or 1, slashing power consumption but without sacrificing its performance.
• OpenAI has been working on optimizing the efficiency of its models and exploring ways to reduce the environmental impact of AI and using renewable energy as much as possible including the research into more efficient training methods and model architectures.

Policy Recommendations

We advocate for the sustainable product development process and press the need for Energy Efficiency in AI Models to counter the environmental impact that they have. These improvements would not only be better for the environment but also contribute to the greater and sustainable development of Gen AI.  Some suggestions are as follows:

• AI needs to adopt a Climate justice framework which has been informed by a diverse context and perspectives while working in tandem with the UN’s (Sustainable Development Goals) SDGs.
• Working and developing more efficient algorithms that would require less computational power for both training and inference can reduce energy consumption. Designing more energy-efficient hardware, such as specialized AI accelerators and next-generation GPUs, can help mitigate the environmental impact. 
• Transitioning to renewable energy sources (solar, wind, hydro) can significantly reduce the carbon footprint associated with AI. The World Economic Forum (WEF) projects that by 2050, the total amount of e-waste generated will have surpassed 120 million metric tonnes.
• Employing techniques like model compression, which reduces the size of AI models without sacrificing performance, can lead to less energy-intensive computations. Optimized models are faster and require less hardware, thus consuming less energy.
• Implementing scattered learning approaches, where models are trained across decentralized devices rather than centralized data centers, can lead to a better distribution of energy load evenly and reduce the overall environmental impact.
• Enhancing the energy efficiency of data centers through better cooling systems, improved energy management practices, and the use of AI for optimizing data center operations can contribute to reduced energy consumption.

Final Words

The UN Sustainable Development Goals (SDGs) are crucial for the AI industry just as other industries as they guide responsible innovation. Aligning AI development with the SDGs will ensure ethical practices, promoting sustainability, equity, and inclusivity. This alignment fosters global trust in AI technologies, encourages investment, and drives solutions to pressing global challenges, such as poverty, education, and climate change, ultimately creating a positive impact on society and the environment. The current state of AI is that it is essentially utilizing enormous power and producing a product not efficiently utilizing the power it gets. AI and its derivatives are stressing the environment in such a manner which if it continues will affect the clean water resources and other non-renewable power generation sources which contributed to the huge carbon footprint of the AI industry as a whole.  

References

• https://cio.economictimes.indiatimes.com/news/artificial-intelligence/ais-hunger-for-power-can-be-tamed/111302991
• https://earth.org/the-green-dilemma-can-ai-fulfil-its-potential-without-harming-the-environment/ 
• https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/
• https://www.scientificamerican.com/article/ais-climate-impact-goes-beyond-its-emissions/ ‍
• https://insights.grcglobalgroup.com/the-environmental-impact-of-ai/