#FactCheck: Viral Video of Moradabad Building Collapse Falsely Linked to Delhi’s Satya Niketan Incident
Executive Summary
A video showing a building collapse is going viral on social media. It is being shared as footage of a tragic incident that took place in Satya Niketan, Delhi. The video is accompanied by claims that it shows the building collapse in Satya Niketan. However, a research by CyberPeace’s Research Wing found that the viral video is not from the incident in Satya Niketan, Delhi. The research revealed that the video is actually from Moradabad, Uttar Pradesh, where a building collapsed on September 5, 2026. Clear similarities were found between the viral video and visuals from the incident in Moradabad. This confirms that an old video is being shared on social media with a false context, linking it to the incident in Satya Niketan, Delhi.
Claim:
A user shared the viral video on YouTube with the caption: “Major accident in Delhi! A five-storey building collapsed.”
https://www.youtube.com/shorts/1qeW-pFoMd4
Fact Check
While investigating the viral video, we conducted a reverse image search using its keyframes. This led us to the same video, which was uploaded on an Instagram account on September 5, 2026. The text visible in the video identified the location as Moradabad, Uttar Pradesh.
https://www.instagram.com/p/Dc54OW2SOh3/
In the next stage of our research, we found the video on Republic Bharat’s Instagram channel, where it was also identified as being from Moradabad.
https://www.instagram.com/reels/Dc8XTlpgaRL/
Based on the information gathered above, a keyword search led us to a report published by Dainik Bhaskar on September 5, 2026. The report also contained visuals matching those seen in the viral video. According to the Dainik Bhaskar report, on September 5, 2026, a four-storey dilapidated building collapsed in the Mughalpura area of Moradabad amid heavy rain, triggering panic in the area. However, the administration had sealed the building a day earlier after assessing its condition. The incident took place at around 3 p.m. The building was owned by a man named Sarfaraz Ali.
In our research, we also tried to geolocate the building seen collapsing in the viral video. We found that the building was located near Guiyan Bagh on Jama Masjid Road in Moradabad. The location can be seen in the image below.
Conclusion
The evidence gathered during our research clearly establishes that the video being circulated as footage of the tragic building collapse in Satya Niketan, Delhi, is not from Delhi. Our findings show that the viral video actually captures the collapse of a dilapidated four-storey building in the Mughalpura area of Moradabad, Uttar Pradesh, on September 5, 2026, amid heavy rainfall. The video was traced to multiple sources that identified the location as Moradabad, and further verification through media reports and geolocation confirmed that the visuals correspond to the same incident. Therefore, the viral video is being shared with a false context by incorrectly linking an incident in Moradabad to the building collapse in Satya Niketan, Delhi.
Related Blogs
Introduction
Somewhere right now, a model is reading a library. It does not read like you or I, savouring a good line or skipping to the end. It does not copy, clean and convert text into numbers at the scale that a human reader could. The copyright questions these models raise are not new, but they are new in scale, and they implicate a legal order that prizes borders. A book written in Lagos can be replicated on a server in Virginia, used to train a model sold in Berlin. Whose laws apply? The honest answer is: we don't know.
A Treaty Written Before Computers
The Berne Convention is one of the most important international agreements on copyright, with over 180 countries being party to it. According to Article 9(1) of the Berne Convention, authors have the exclusive right to allow or prohibit the reproduction of their works in any form or way. Article 9(2) provides that certain countries may implement exceptions to the rights granted by the convention, as long as they are consistent with the three-step test. More specifically, a national law exception should be confined to a certain category of works, not prejudice the work’s normal use, and not unreasonably prejudice the rights of the author.
This explains how the Berne Convention could apply to copyright protection for AI. Developers of such technology often argue that since the output of a given model rarely resembles anything learned from the examples provided, there is no copying occurring. However, the Agreed Statements of the WIPO Copyright Treaty provide that the reproduction of a protected item in digital format also constitutes a reproduction. Therefore, if a work is used to train a model, this can be considered a reproduction, and the question then emerges whether a national exception applies.
Three Jurisdictions, Three Answers
Countries have responded in different ways to that question. The United States draws on its fair use doctrine, a flexible, four-factor test that was never intended for machine learning but dominates AI-related disputes anyway. Japan’s Article 30-4 permits uses of works for the purpose of data analysis where the use is not for the enjoyment of the work’s expression, which captures a lot of what training entails. And the European Union’s approach falls somewhere in the middle: its text and data mining rules allow mining of lawfully accessible works, but rightsholders can specify in a machine-readable manner that they do not want their works mined, and developers are required to seek permission.
A recent roundtable from the Columbia Undergraduate Law Review argues that the EU model fits the three-step test best because the opt-out keeps a licensing market alive and gives authors control before their work is used rather than after. It argues that broad US fair use and Japan's provision both struggle at the second and third steps, since they can undercut a foreseeable licensing market. That is one scholarly view and not settled law. The EU system also has its own weak spot: an opt-out only protects authors who know it exists and have the technical means to use it.
Bartz v. Anthropic in Brief
Bartz v. Anthropic is the case that puts these debates in front of a judge. Three authors, including Andrea Bartz, Charles Graeber and Kirk Wallace Johnson, filed a lawsuit against the Anthropic company for using part of their works to create the central library used by Claude and to train the models used in its creation. In addition, in June 2025, Judge William Alsup approved the separation of the case, considering each instance of use separately.
On training, he granted summary judgement for Anthropic, holding the use was fair and describing it as exceedingly transformative. He compared it to a reader who studies great writing in order to produce something new. It mattered that the authors did not allege Claude's outputs reproduced their books, so the case turned on inputs alone. He also held that buying print books and scanning them into digital copies was fair use, since it only changed the format of copies Anthropic already owned. But he refused to excuse the more than seven million pirated books Anthropic downloaded to build a permanent library. Building that library from pirated copies, he found, was its own use and not a transformative one, and that part was set for trial.
Two observations are worth making in relation to those thinking across borders. First, the court's assumption that there might be a market for training licences, but its observation that this is not a market which the Copyright Act entitles authors to control, is quite inconsistent with Berne's concern for normal exploitation. Moreover, the order makes no reference to Berne at all, bearing out the observation that the US courts apply the domestic statute and not the treaty.
The story did not end there. Anthropic agreed to a $1.5 billion class settlement covering roughly 482,000 works, and the court granted final approval on 20 July 2026. It resolves claims about past acquisition and copying, so the training ruling remains a trial court's view rather than binding precedent.
Where Borders Break the System
The deeper trouble is that none of this travels well. Berne is not self-executing in the United States, so judges apply the domestic statute, and nobody is required to ask whether a fair use ruling passes the three-step test. Meanwhile, training can happen in one country, on work from dozens of others, for a product used everywhere. The same book might be freely usable in Tokyo, subject to an opt-out in Paris and defended as fair use in San Francisco.
The roundtable suggests one way forward: a new WIPO special agreement, along the lines of the WIPO Copyright Treaty, in response to the internet. It would provide guidance on the application of the three-step test to training, regard licensing markets as an ordinary part of exploitation, and require minimum standards for reservations of rights and compensation. There is one major potential obstacle: many of the most influential AI companies are based in the US, which has a record of opposing international obligations that impinge on fair use. A deal would apply only to the extent that it is not controlled by the US, where most of the training takes place. Market forces, in the form of the so-called Brussels effect, may prove more influential than negotiations at WIPO.
Conclusion
Bartz’s analysis illustrates the importance of characterising a specific use at the level of a particular court. While the former had been viewed as an activity and the latter as an acquisition, the distinction between the use of a work and its acquisition appears more likely to transcend borders than the concept of fair use. Berne was designed to create a common ground for authors. Whether this convention would be able to fulfil its function in the era of generative AI depends on the willingness of nations to adopt a joint understanding of what constitutes its foundations for machines.
Introduction
Misinformation spreads faster than a pimple before your best friend's wedding, and these viral skincare hacks on social media can do more harm than good if smeared on without a second thought. The unverified skin care tips, exaggerated results, and product endorsements lacking proper dermatological backing can often lead to breakouts and serious damage.
The Allure and Risks of Online Skincare Trends
In the age of social media, beauty advice is easily accessible, but not all trending skincare hacks are beneficial. Influencers lacking professional dermatological knowledge often endorse "medical grade" skincare products, which may not be suitable for all skin types. The viral DIY skincare hacks, such as natural remedies like multani mitti (Fuller's earth), have found a new audience online. However, suppose such skincare tips are approached without due care and caution regarding their suitability for different skin types, or without the proper formulation of ingredients. In that case, they can result in skin problems. It is crucial to approach online skincare advice with a critical eye, as not all trends are backed by scientific research.
CyberPeace Recommendations
- Influencer Responsibility and Ethical Endorsements in Skincare
Influencers play a crucial role in shaping public perception in the skincare and lifestyle industries. However, they must exercise due diligence before endorsing skincare products or practices, as misinformation can lead to financial loss and health consequences. Influencers should only promote products they have personally tested or vetted by dermatologists or skincare professionals. They should also research the brand's credibility, check ingredients for safety, and understand the product's target audience.
- Strengthening Digital Literacy in Skincare Spaces
CyberPeace highlights that improving digital literacy is one of the best strategies to stop the spread of false information about skincare. Users nowadays, particularly young people, are continuously exposed to a deluge of wellness and beauty-related content. Many people are duped by overstated claims, pseudoscientific cures, and influencer-driven marketing masquerading as sound advice if they lack the necessary digital literacy. We recommend supporting digital literacy initiatives that teach users how to evaluate sources, think critically, and comprehend how algorithms promote content. Long-term impact is thought to be achieved through influencer partnerships, gamified learning modules, and community workshops that promote media literacy.
- Recommendation for Users to Prioritise Research and Critical Thinking
Users should prioritise research and critical thinking when engaging with skincare content online. It's crucial to distinguish between valid advice and misinformation. Thorough research, including expert reviews, ingredient checks, and scientific sources, is essential. Questioning endorsements and relying on trusted platforms and dermatologists can help ensure a skincare routine based on sound practices.
- Mandating Transparency from Influencers and Brands
Enforcing stronger transparency laws for influencers and skincare companies is a key suggestion. Social media influencers frequently neglect to reveal sponsored collaborations or paid advertisements, giving followers the impression that the skincare advice is based on the creators' own experience and objective judgment. This dishonest practice frequently promotes goods with little to no scientific support and feeds false information. The social media companies need to be proactive in identifying and removing content that violates disclosure and advertising guidelines.
- Creating a Verified Registry for Skincare Professionals
Increasing the voices of real experts is one of the most important strategies to build credibility and trust online. The establishment of a publicly available, validated registry of certified dermatologists, cosmetologists, and skincare scientists is suggested by cybersecurity experts and medical professionals. These experts could then receive a "verified expert" badge from social media companies, making it easier for users to discern between content created by unqualified people and genuine, evidence-based advice. Algorithms that promote such verified content would inevitably limit the dissemination of false information.
- Enforcing Platform Accountability and Reporting System
There needs to be platform-level accountability and safeguard mechanisms in case of any false information about skincare. Platforms should monitor repeat offenders and implement a tiered penalty system that includes content removal and temporary or permanent bans on such malicious user profiles.
References
Artificial Intelligence (AI) continues to grow in importance in today’s world not just as technological advancement but also becoming the backbone of economic growth, national security, scientific research, and digital governance. However, AI innovations of such a sophisticated kind require significant computing power that is currently only within the reach of a few countries. Against this backdrop, India and the United Arab Emirates (UAE) have taken a significant step by partnering to build one of India's most powerful AI supercomputing infrastructures. What began as a discussion about digital infrastructure under the ambit of the new found India-UAE tech relationship, has come to a stage that is likely to usher in new AI-centric developments in the country, while bolstering the partnership between India and UAE.
From Vision to Concrete Action
This collaboration stemmed from the strengthening relationship between India and the UAE. The goal is to focus more on digital cooperation after the 2023 G20 Summit held in India. During this period, Artificial Intelligence, digital public infrastructure, and strong digital ecosystems became key topics of discussion between the two countries. This partnership received formal recognition with the India-UAE Digital Infrastructure Memorandum of Understanding (MoU) signed in 2024. This agreement identified Artificial Intelligence, high-performance computing (HPC), cloud infrastructure, and digital innovation as priority areas for cooperation.
The initiative has now moved from policy talks to actual implementation. In February 2026, the UAE announced plans to deploy an 8-exaflop AI Super Computing Cluster in partnership between CDAC and in May 2026, when our Hon’ble Prime Minister visited UAE, both governments formalized the commercial framework for establishing the system, marking one of the largest AI infrastructure collaborations between the two countries. It was one the significant agendas discussed between the two countries among others.
What Does the Agreement Include?
The agreement between the countries is for the deployment of ‘Condor Galaxy India supercomputer’, which is an AI supercomputing cluster designed specifically for complex and advanced artificial intelligence workloads. Some of the major points of agreement include:
- Deployment of an 8 Exaflop Super Computing Cluster, meaning it can perform up to eight quintillion (8 × 10¹⁸) AI-related calculations per second. This would place it among the world's most powerful AI supercomputing systems.
- This project will be implemented by G42, which is an Abu Dhabi-based AI technology company, in partnership with India's Centre for Development of Advanced Computing (C-DAC).
- The computing infrastructure will utilise 64 Cerebras CS-3 AI systems, built using wafer-scale processor technology designed for large AI models.
- G42 and C-DAC will jointly oversee installation, deployment, operation, and maintenance of the infrastructure.
- The supercomputer will support India's IndiaAI Mission, strengthening domestic AI research and innovation. It is also a step in the direction of India’ AI mission through mindful collaboration.
- Notably, the system will be physically located within India and operate under Indian governance frameworks and laws ensuring that sensitive datasets remain under India’s jurisdiction.
While beyond the infrastructure, the partnership also aims for research efforts within fields like healthcare & genomics, climate change modeling & optimization of energy, geointelligence, research studies & government usages, as well as growing startups in AI. It is hoped that the computing infrastructure will be made accessible to researchers, academic bodies, government organizations & startups from both nations to foster collaborative research.
How Are India and the UAE Collaborating?
The partnership involves more than simply sharing the hardware, the two countries are entering into a multiyear technology partnership where each brings different but complementary expertise. On one hand India offers the knowledge and experience of C-DAC, a large number of AI engineers, startups, academics and researchers, and the IndiaAI Mission, a framework to enable access to the advanced computing infrastructure needed to use these researchers.
In return, the UAE offers investment in AI infrastructure and expertise in global AI cloud infrastructure, and sovereign AI platform development, from AI cloud infrastructure company G42, a company that has deployed large AI computing clusters as part of the Condor Galaxy network. Among the biggest names involved in the new initiative is also Cerebras Systems, the artificial intelligence (AI) computing company that will supply the AI chips for the supercomputer. The leading designer of AI compute technology, Cerebras develops the world's fastest AI hardware. In particular, the flagship Wafer Scale Engine (WSE-3), a revolutionary single chip that is the largest AI processor in the world, offers significant gains in speed and computational efficiency. This partnership will spur a joint R&D effort. That allows both India and the UAE to harness their respective knowledge and resources to accelerate better results for all stakeholders in various domains.
This collaboration will enable joint research and development (R&D), allowing both countries to combine their expertise and resources to produce more effective outcomes that are mutually beneficial across multiple sectors.
Cyber and Digital Security Benefits
From a cybersecurity perspective, this partnership is particularly significant.
- Moving towards AI Sovereignty
Possessing the infrastructure within India can ensure that sensitive government, healthcare, research, and enterprise data remains within Indian jurisdiction. This will reduce dependence on foreign cloud infrastructure while improving regulatory control over sensitive and critical datasets.
- Modernising Cyber Defence
Having a high-performance computing system will improve our cyber defence through AI-based threat detection, malware flagging, vulnerability assessment and cyber testing of safeguarding critical infrastructure. These are necessary in current times considering the growing capabilities and mode of cyber attacks.
- Secure AI Development
Countries worldwide are moving toward "Sovereign AI" which is a goal of developing AI systems within nationally governed infrastructure to protect sensitive information. The India-UAE partnership directly supports this objective by combining national governance and world-class computing capability development.
- Economic Benefits for India
The project offers several long-term economic advantages. First, easing the entry barrier for startups and researchers in India as they are often reliant on expensive overseas cloud computing services. Second, enabling availability of more computing power that can accelerate innovation across sectors such as healthcare, agriculture, manufacturing, fintech, education, and logistics. Third, stronger AI computing infrastructure could foster the inflow of global capital into India’s tech ecosystem by provisioning requisite resources to run frontier AI computations. Finally, the initiative supports India's ambition of becoming a global AI innovation hub under the IndiaAI Mission by enabling domestic development of advanced AI models rather than relying solely on imported technologies that will in long-term make India a sought out destination as an AI-hub.
Why the UAE Benefits?
In the case of the UAE, the partnership further helps Abu Dhabi's vision to become a global leader in artificial intelligence by extending the reach of G42's AI capabilities internationally, while strengthening ties with one of the world’s leading digital economies as a trusted strategic technology partner. In harnessing India's extensive talent base, research communities, and growing AI capabilities, the UAE unlocks opportunities for scale and innovation, while also cementing its status as a dependable technological enabler across emerging economies. The project is a part of the UAE’s long-standing agenda to move away from hydrocarbons and towards growth in areas such as AI, digital infrastructure, and technologies of the future.
Conclusion
The India-UAE supercomputer collaboration is a step in the direction of being self-dependent in terms of having a strong computing infrastructure base in India. This also changes the outlook of international technology partnerships from traditional trade relationships to collaborations focused on AI, digital infrastructure, research, and strategic innovation. AI is becoming a defining factor in economic competitiveness and national resilience on a global scale and the access to sovereign computing infrastructure will increasingly shape our influence in world markets. By uniting UAE’s investment capacity and AI infrastructure expertise and India’s advantages. If successfully implemented, the collaboration could serve as a model of what cooperation toward sovereign and trusted AI can entail.
REFERENCES
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2006207®=48&lang=2
- https://www.pib.gov.in/PressReleaseDetail.aspx?PRID=2261385®=48&lang=1
- https://www.pib.gov.in/PressReleaseDetail.aspx?PRID=2261393®=48&lang=1
