#FactCheck - AI-Generated Flyover Collapse Video Shared With Misleading Claims
Executive Summary
A video showing a flyover collapse is going viral on social media. The clip shows a flyover and a road passing beneath it, with vehicles moving normally. Suddenly, a portion of the flyover appears to collapse and fall onto the road below, with some vehicles seemingly coming under its impact. The video has been widely shared by users online. However, research by the CyberPeace found the viral claim to be false. The probe revealed that the video is not real but has been created using artificial intelligence.
Claim:
On X (formerly Twitter), a user shared the viral video on February 13, 2026, claiming it showed the reality of India’s infrastructure development and criticizing ongoing projects. The post quickly gained traction, with several users sharing it as a real incident. Similarly, another user shared the same video on Facebook on February 13, 2026, making a similar claim.
Fact Check:
To verify the claim, key frames from the viral video were extracted and searched using Google Lens. During the search, the video was traced to an account named “sphereofai” on Instagram, where it had been posted on February 9. The post included hashtags such as “AI Creator” and “AI Generated,” clearly indicating that the video was created using AI. Further examination of the account showed that the user identifies themselves as an AI content creator.
To confirm the findings, the viral video was also analysed using Hive Moderation. The tool’s analysis suggested a 99 percent probability that the video was AI-generated.
Conclusion:
The research established that the viral flyover collapse video is not authentic. It is an AI-generated clip being circulated online with misleading claims.
Related Blogs
.webp)
Introduction
As AI becomes more deeply integrated into everyday life and industries, Google Cloud is increasing its investment in AI-ready data centres worldwide, with India emerging as a key part of its expansion plans. Thomas Kurian’s latest India visit highlighted Google Cloud’s expanding ambitions in the country. Beyond the $15 billion, 1GW Visakhapatnam data centre announced in October 2025, Google is planning a larger multi-year AI infrastructure push, backed by partnerships with major enterprises across banking, healthcare, and digital services. This reflects a shift where countries are not only competing to create advanced AI technologies but also to build the infrastructure needed to support and lead the future AI economy. But it's worth being precise about what "building infrastructure" actually means here because it is private, foreign-headquartered capital constructing facilities on Indian soil, under terms that remain largely opaque to the public that will depend on them. That distinction matters more than the investment headline suggests.
The Promise and Pressure of Google’s Full-Stack AI Strategy
For decades, data centres were mainly built to store information, host websites, and support cloud applications. The rise of generative AI has completely changed that role. Today's systems need massive computing power both to train models on huge datasets and to run them every time someone generates content or automates a task. It is distinguished from traditional workloads mainly due to relying on proprietary technologies like GPU or TPU, alongside advanced networking and dynamic storage systems that complement each other and work in unison. The efforts of Google to create its own TPUs are understandable as they played a vital role in a number of achievements made by Google DeepMind. Today, the companies, government entities, and people turning to AI solutions put enormous pressure on the processing of data.
The companies that are building this infrastructure are shaping ecosystems on which others will depend on. Google’s “full stack” approach that infers controlling everything from chips and AI models to cloud platforms and applications which may improve efficiency and reduce costs, but it also creates deeper dependence on a single provider. Like a hospital adopting an AI platform is not just purchasing software; over time, its data systems, workflows, and operations can become closely tied to the underlying cloud ecosystem.
This concern when viewed against the concentration of the global cloud market: Amazon Web Services, Microsoft Azure, and Google Cloud together control roughly two-thirds of global cloud infrastructure, making them the dominant gatekeepers of enterprise computing. As these same companies move upward into AI models and applications while controlling the compute layer beneath them, the debate is no longer only about market share, it is about control over the entire AI value chain.
Why Location Matters and Why It Isn't Enough
In traditional internet services, a delay of a few milliseconds rarely mattered. However, future AI applications like autonomous vehicles, AI-assisted diagnostics, automated factory robotics will demand near-instant decision-making and cannot always depend on servers thousands of kilometres away. Regional data centres reduce that latency, which matters especially for India, where hundreds of millions are expected to interact with AI-powered services in the coming years. There is also the question of data sovereignty, and this is where the infrastructure narrative gets ahead of the regulatory reality. Governments worldwide are increasingly concerned about where citizens' and companies' data is stored and processed and local data centres are presented as the answer, but physical proximity does not automatically translate into legal accountability. Google has acknowledged that it bills cloud revenue through whichever global entity corresponds to the data centre being accessed which means an Indian client's spending on Google Cloud infrastructure inside India may still not be booked, taxed, or contractually governed as an Indian transaction. Google Cloud India Pvt. Ltd reported just ₹2,065.4 crore in FY25 revenue, strikingly disconnected from the scale of a $15 billion facility and its roster of major Indian clients. Servers on Indian soil do not by themselves guarantee that India captures the tax base, the leverage, or the oversight that "data sovereignty" implies.
This gap is widened by where India's own data protection framework stands. The Digital Personal Data Protection (DPDP) Act, 2023 leaves retention periods and purpose limitation loosely specified under Sections 8(7) and 12, and its enforcement rules are still being finalised. When hospitals or banks process data through a foundation-model platform like Gemini Enterprise, questions like where processing occurs and what audit trail exists for cross-border flows are not resolved by a local data centre's presence. At present, they rely mostly on vendor assurance rather than independent verification.
Economic Opportunities: More Than Just Servers
AI data centres are often imagined as buildings filled with computers, but their economic impact extends further, into energy systems, construction, engineering, semiconductor supply chains, and skilled technical work. Countries hosting these facilities can benefit from investment and job creation, while local businesses gain access to AI tools without building expensive infrastructure of their own.
For India, expanded AI infrastructure could support ambitions to become a global technology hub, and could narrow the gap in access to high-performance computing that has historically disadvantaged smaller companies and researchers. That potential is real. But it should be weighed against the terms on which it arrives, whether the economic value generated is captured domestically through tax revenue and enforceable local accountability, or whether India functions primarily as a hosting site while value accrues elsewhere. The current revenue-booking structure suggests the latter is, at minimum, a live risk rather than a settled question.
The Environmental Challenge of AI Expansion
However, what remains less discussed is the environmental cost behind this expansion from its impact on the power grid and water required for cooling to clearing use of renewable energy. A 1GW facility, the scale for the Visakhapatnam project is comparable to the output of a mid-sized power plant dedicated entirely to compute demand. As models grow larger and adoption accelerates, this level of energy and water consumption has become one of the central concerns of the global AI infra. As much attention as the investment figures receive, the sustainability issue behind such large-scale infrastructure deserves equal visibility.
The Future: AI Infrastructure as National Infrastructure
The expansion of Google Cloud's AI data centres show a change in how the world views computing. Data centres are no longer invisible facilities operating in the background; they are becoming strategic infrastructure comparable to power grids and telecom networks. That comparison should prompt that infrastructure this consequential is usually made subject to public oversight, licensing conditions, and accountability mechanisms proportionate to its importance which is missing so far. Google Cloud's investment and the compute capacity it brings will lower barriers for Indian enterprises and researchers who have long lacked access to frontier-scale infrastructure. Against this backdrop, India needs to develop the regulatory, tax, and competition frameworks to ensure that the foundation serves the country hosting it, rather than the company that owns it.
Beyond Compute: The Emerging Question of AI Sovereignty
The next phase of the AI race may not be defined only by who builds the most capable models, but by who governs the infrastructure, standards, and decision making systems that those models depend upon. As advances in artificial general intelligence and discussions around superintelligence move from research laboratories into policy circles, control over compute resources is becoming a matter of strategic importance comparable to control over energy reserves or communication networks. Nations that rely entirely on external providers for advanced AI infrastructure may eventually find themselves dependent not merely for technology services, but for economic productivity, public administration, healthcare delivery, and national security capabilities. For India, the challenge is therefore larger than attracting investment. It is about ensuring meaningful domestic participation in ownership, governance, talent development, and oversight so that the intelligence systems shaping the future remain aligned with national priorities and public interest.
References
Introduction
In the labyrinthine world of cybersecurity, a new spectre has emerged from the digital ether, casting a long shadow over the seemingly impregnable orchards of Apple's macOS. This phantom, known as SpectralBlur, is a backdoor so cunningly crafted that it remained shrouded in the obscurity of cyberspace, undetected by the vigilant eyes of antivirus software until its recent unmasking. The discovery of SpectralBlur is not just a tale of technological intrigue but a narrative that weaves together the threads of geopolitical manoeuvring, the relentless pursuit of digital supremacy, and the ever-evolving landscape of cyber warfare.
SpectralBlur, a term that conjures images of ghostly interference and elusive threats, is indeed a fitting moniker for this new macOS backdoor threat. Cybersecurity researchers have peeled back the layers of the digital onion to reveal a moderately capable backdoor that can upload and download files, execute shell commands, update its configuration, delete files, and enter states of hibernation or sleep, all at the behest of a remote command-and-control server. Greg Lesnewich, a security researcher whose name has become synonymous with the relentless pursuit of digital malefactors, has shed light on this new threat that overlaps with a known malware family attributed to the enigmatic North Korean threat actors.
SpectralBlur similar to Lazarus Group’s KANDYKORN
The malware shares its DNA with KANDYKORN, also known as SockRacket, an advanced implant that functions as a remote access trojan capable of taking control of a compromised host. It is a digital puppeteer, pulling the strings of infected systems with a malevolent grace. The KANDYKORN activity also intersects with another campaign orchestrated by the Lazarus sub-group known as BlueNoroff, or TA444, which culminates in the deployment of a backdoor referred to as RustBucket and a late-stage payload dubbed ObjCShellz.
Recently, the threat actor has been observed combining disparate pieces of these two infection chains, leveraging RustBucket droppers to deliver KANDYKORN. This latest finding is another sign that North Korean threat actors are increasingly setting their sights on macOS to infiltrate high-value targets, particularly those within the cryptocurrency and blockchain industries. 'TA444 keeps running fast and furious with these new macOS malware families,' Lesnewich remarked, painting a picture of a relentless adversary in the digital realm.
Patrick Wardle, a security researcher whose insights into the inner workings of SpectralBlur have further illuminated the threat landscape, noted that the Mach-O binary was uploaded to the VirusTotal malware scanning service in August 2023 from Colombia. The functional similarities between KANDYKORN and SpectralBlur have raised the possibility that they may have been built by different developers with the same requirements. What makes the malware stand out are its attempts to hinder analysis and evade detection while using grant to set up a pseudo-terminal and execute shell commands received from the C2 server.
The disclosure comes as 21 new malware families designed to target macOS systems, including ransomware, information stealers, remote access trojans, and nation-state-backed malware, were discovered in 2023, up from 13 identified in 2022. 'With the continued growth and popularity of macOS (especially in the enterprise!), 2024 will surely bring a bevvy of new macOS malware,' Wardle noted, his words a harbinger of the digital storms on the horizon.
Hackers are beefing up their efforts to go after the best MacBooks as security researchers have discovered a brand new macOS backdoor which appears to have ties to another recently identified Mac malware strain. As reported by Security Week, this new Mac malware has been dubbed SpectralBlur and although it was uploaded to VirusTotal back in August of last year, it remained undetected by the best antivirus software until it recently caught the attention of Proofpoint’s Greg Lesnewich.
Lesnewich explained that SpectralBlur has similar capabilities to other backdoors as it can upload and download files, delete files and hibernate or sleep when given commands from a hacker-controlled command-and-control (C2) server. What is surprising about this new Mac malware strain though is that it shares similarities to the KandyKorn macOS backdoor which was created by the infamous North Korean hacking group Lazarus.
Just like SpectralBlur, KandyKorn is designed to evade detection while providing the hackers behind it with the ability to monitor and control infected Macs. Although different, these two Mac malware strains appear to be built based on the same requirements. Once installed on a vulnerable Mac, SpectralBlur executes a function that allows it to decrypt and encrypt network traffic to help it avoid being detected. However, it can also erase files after opening them and then overwrite the data they contain with zeros..
How to keep your Apple computers safe from hackers
As with the best iPhones, keeping your Mac up to date is the easiest and most important way to keep it safe from hackers. Hackers often prey on users who haven’t updated their devices to the latest software as they can exploit unpatched vulnerabilities and security flaws.
Checking to see if you're running the latest macOS version is quite easy. Just click on the Apple Logo in the top right corner of your computer, head to System Preferences and then click on Software Update. If you need a bit more help, check out our guide on how to update a Mac for more detailed instructions with pictures.
Even though your Mac has its own built-in malware scanner from Apple called xProtect, you should consider using one of the best Mac antivirus software solutions for additional protection. Paid antivirus software is often updated more frequently and you often also get access to other extras to help keep you safe online like a password manager or a VPN.
Besides updating your Mac frequently and using antivirus software, you must be careful online. This means sticking to trusted online retailers, carefully checking the URLs of the websites you visit and avoiding opening links and attachments sent to you via email or social media from people you don’t know. Likewise, you should also learn how to spot a phishing scam to know which emails you want to delete right away.
Conclusion
The thing about hackers and other cybercriminals is that they are constantly evolving their tactics and attack methods. This helps them avoid detection and allows them to devise brand-new ways to trick ordinary people. With the surge we saw in Mac malware last year, though, Apple will likely be working on beefing up xProtect and macOS to better defend against these new threats.
References
- https://www.scmagazine.com/news/new-macos-malware-spectralblur-idd-as-north-korean-backdoor
- https://www.tomsguide.com/news/this-new-macos-backdoor-lets-hackers-take-over-your-mac-remotely-how-to-stay-safe
- https://thehackernews.com/2024/01/spectralblur-new-macos-backdoor-threat.html
Introduction
Criminal justice in India is majorly governed by three laws which are – Indian Penal Code, Criminal Procedure Code and Indian Evidence Act. The centre, on 11th August 2023’ Friday, proposes a new bill in parliament Friday, which is replacing the country’s major criminal laws, i.e. Indian Penal Code, Criminal Procedure Code and Indian Evidence Act.
The following three bills are being proposed to replace major criminal laws in the country:
- The Bharatiya Nyaya Sanhita Bill, 2023 to replace Indian Penal Code 1860.
- The Bharatiya Nagrik Suraksha Sanhita Bill, 2023, to replace The Code Of Criminal Procedure, 1973.
- The Bharatiya Sakshya Bill, 2023, to replace The Indian Evidence Act 1872.
Cyber law-oriented view of the new shift in criminal lawNotable changes:Bharatiya Nyaya Sanhita Bill, 2023 Indian Penal Code 1860.
Way ahead for digitalisation
The new laws aim to enhance the utilisation of digital services in court systems, it facilitates online registration of FIR, Online filing of the charge sheet, serving summons in electronic mode, trial and proceedings in electronic mode etc. The new bills also allow the virtual appearance of witnesses, accused, experts, and victims in some instances. This shift will lead to the adoption of technology in courts and all courts to be computerised in the upcoming time.
Enhanced recognition of electronic records
With the change in lifestyle in terms of the digital sphere, significance is given to recognising electronic records as equal to paper records.
Conclusion
The criminal laws of the country play a significant role in establishing law & order and providing justice. The criminal laws of India were the old laws existing under British rule. There have been several amendments to criminal laws to deal with the growing crimes and new aspects. However, there was a need for well-established criminal laws which are in accordance with the present era. The step of the legislature by centralising all criminal laws in their new form and introducing three bills is a good approach which will ultimately strengthen the criminal justice system in India, and it will also facilitate the use of technology in the court system.
