#Fact Old image of Hindu Priest with Donald trump at White house goes viral as recent.

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/

Introduction

The .com boom led to a massive surge in the expansion of digitised and automated operations in all industries and organisations, which in turn beagle a wholesome transition to the digital age for all netizens, organisations and industries. All the big techs in today’s time were startups or not even in existence back when this boom began, but just in 3-4 decades, we see that a massive faction of the global population is dependent directly or indirectly on big techs for some or the other services. As the world of tech expands, so does the big tech, and hence, in the previous decades, we have seen some acquisitions by big tech companies. The biggest acquisition by tech was last seen in 2023 when the social media giant Facebook (Now META) acquired the famous messaging platform Whatsapp for $13 Billion, but now, almost after a decade, the world is ready to witness the biggest acquisition as Adobe confirms its plans to acquire Figma the leading web-first collaborative design platform.

Adobe - Figma Acquisition  

The illustrator developer Adobe has been the pioneer in developing designing tools since 1982. The founder of the company made a switch from the paper company Xerox, and hence, the operations and products of the company have been oriented towards paper and design. But as the company is already a pioneer in developing designing and editing tools, the impact of AI cannot be underestimated. Hence, this acquisition comes at a critical juncture in impacting the AI-driven product market.  

Adobe wants to use digital experiences to transform the world. Adobe provides the tools and platforms that power the digital economy today, and over the course of its existence, its innovations have positively impacted billions of people worldwide. Adobe continues to invent and modify categories, having revolutionised photography and creative expression with Photoshop, pioneered electronic documents with PDF, and created the digital marketing category with Adobe Experience Cloud.

The goals of Figma are to facilitate visual teamwork and provide accessibility to design for all. The company, which was founded in 2012 by Dylan Field and Evan Wallace, was a pioneer in online product design. Thanks to multi-player workflows, advanced design systems, and a large, expandable developer environment, it is now enabling collaboration for anybody designing interactive mobile and online applications. Millions of fresh designers and developers, as well as a devoted student base, have been drawn to Figma.

By working together, Adobe and Figma will transform how people create and work, spur innovation on the web, improve product design, and uplift communities of creators, designers, and developers throughout the world. The combined business will have the capacity to create major value for clients, investors, and the industry, in addition to a sizable and rapidly expanding market potential.

Key Features of Acquisition

The most expensive acquisition this century has caught the attention of a lot of companies and regulatory authorities across the world. The key features of the deal are as follows: 

• Reimagining the Future of Creativity and Productivity: The designing giant Adobe and Figma coming together will unlock new potential for creativity and productivity as both of the companies create tools which are widely used; hence, they understand the customer’s requirements and expectations, thus making a path for creativity and productivity in term of new services and applications.    
• Accelerating Creativity on the Web: Adobe's Creative Cloud technologies will be delivered online more quickly thanks to Figma's web-based, multi-player features, which will increase productivity and accessibility to the creative process for more people. The current difficulty facing creators is producing an ever-increasing amount of material while working closely with an ever-increasing number of stakeholders. With its widespread use, the web is now a tool that facilitates collaborative creation in teams.
• Advancing Product Design: All parties involved in the product design process, including designers, product managers, and developers, will gain from the integration of Adobe's robust imaging, photography, illustration, video, 3D, and font technologies into the Figma platform. Because digital applications are integral to both our personal and professional lives, the product design sector is experiencing rapid expansion. 
• Inspiring and empowering the designer and developer community: The company's ongoing innovation has been fueled by the dynamic creative community at Adobe. With its vast and expanding ecosystem, Figma boasts a fervent community that creates and shares everything from templates to plug-ins to lessons. By uniting the communities of Figma and Adobe, designers and developers will be able to harness the potential of collaborative design in the future. By 2025, Figma's addressable market will reach a total of $16.5 billion. With best-in-class net dollar retention of more than 150 percent, the company is predicted to add around $200 million in net new ARR this year, topping $400 million in total ARR by the end of 2022. Figma has established a productive, rapidly expanding company with operating cash flows that are positive and gross margins of over 90%.

Conclusion

The acquisition of the decade is going to be under heavy scrutiny and checks under various laws in different countries and is expected to be given the green light soon, this merger and acquisition case study will act as a precedent for such high-value acquisitions. Nearly 10 years ago, we saw the last biggest acquisition, where Meta acquired WhatsApp for $13 Bn. As the world of tech moves forward, we will be witnessing more of such M&As in the future, but in such moments, we should be cautious about how our data is handled and transferred by the other company, always make sure you keep a check on your digital rights and responsibilities, because ultimately we are the consumers of the cyberspace.

References

• https://news.adobe.com/news/news-details/2022/Adobe-to-Acquire-Figma/default.aspx
• https://www.theregister.com/2023/10/26/regulator_delays_adobes_20bn_buy/
• https://www.reuters.com/markets/deals/adobes-deal-acquire-figma-under-threat-eu-regulators-ft-2023-06-20/'

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Executive Summary:

A viral online video claims to show a Syrian prisoner experiencing sunlight for the first time in 13 years. However, the CyberPeace Research Team has confirmed that the video is a deep fake, created using AI technology to manipulate the prisoner’s facial expressions and surroundings. The original footage is unrelated to the claim that the prisoner has been held in solitary confinement for 13 years. The assertion that this video depicts a Syrian prisoner seeing sunlight for the first time is false and misleading.

Claim A viral video falsely claims that a Syrian prisoner is seeing sunlight for the first time in 13 years.

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Factcheck:

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Upon receiving the viral posts, we conducted a Google Lens search on keyframes from the video. The search led us to various legitimate sources featuring real reports about Syrian prisoners, but none of them included any mention of such an incident. The viral video exhibited several signs of digital manipulation, prompting further investigation.

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We used AI detection tools, such as TrueMedia, to analyze the video. The analysis confirmed with 97.0% confidence that the video was a deepfake. The tools identified “substantial evidence of manipulation,” particularly in the prisoner’s facial movements and the lighting conditions, both of which appeared artificially generated.

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Additionally, a thorough review of news sources and official reports related to Syrian prisoners revealed no evidence of a prisoner being released from solitary confinement after 13 years, or experiencing sunlight for the first time in such a manner. No credible reports supported the viral video’s claim, further confirming its inauthenticity.

Conclusion:

The viral video claiming that a Syrian prisoner is seeing sunlight for the first time in 13 years is a deep fake. Investigations using tools like Hive AI  detection confirm that the video was digitally manipulated using AI technology. Furthermore, there is no supporting information in any reliable sources. The CyberPeace Research Team confirms that the video was fabricated, and the claim is false and misleading.

• Claim: Syrian prisoner sees sunlight for the first time in 13 years, viral on social media.
• Claimed on: Facebook and X(Formerly Twitter)
• Fact Check: False & Misleading