#FactCheck: Fake viral AI video captures a real-time bridge failure incident in Bihar
Executive Summary:
A video went viral on social media claiming to show a bridge collapsing in Bihar. The video prompted panic and discussions across various social media platforms. However, an exhaustive inquiry determined this was not real video but AI-generated content engineered to look like a real bridge collapse. This is a clear case of misinformation being harvested to create panic and ambiguity.
Claim:
The viral video shows a real bridge collapse in Bihar, indicating possible infrastructure failure or a recent incident in the state.
Fact Check:
Upon examination of the viral video, various visual anomalies were highlighted, such as unnatural movements, disappearing people, and unusual debris behavior which suggested the footage was generated artificially. We used Hive AI Detector for AI detection, and it confirmed this, labelling the content as 99.9% AI. It is also noted that there is the absence of realism with the environment and some abrupt animation like effects that would not typically occur in actual footage.
No valid news outlet or government agency reported a recent bridge collapse in Bihar. All these factors clearly verify that the video is made up and not real, designed to mislead viewers into thinking it was a real-life disaster, utilizing artificial intelligence.
Conclusion:
The viral video is a fake and confirmed to be AI-generated. It falsely claims to show a bridge collapsing in Bihar. This kind of video fosters misinformation and illustrates a growing concern about using AI-generated videos to mislead viewers.
Claim: A recent viral video captures a real-time bridge failure incident in Bihar.
Claimed On: Social Media
Fact Check: False and Misleading
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Introduction
The ongoing debate on whether AI scaling has hit a wall has been rehashed by the underwhelming response to OpenAI’s ChatGPT v5. AI scaling laws, which describe that machine learning models perform better with increased training data, model parameters and computational resources, have guided the rapid progress of Large Language Models (LLMs) so far. But many AI researchers suggest that further improvements in LLMs will have to be effected through large computational costs by orders of magnitude, which does not justify the returns. The question, then, is whether scaling remains a viable path or whether the field must explore new approaches. This is not just a tech issue but a profound innovation challenge for countries like India, charting their own AI course.
The Scaling Wall: Gaps and Innovation Opportunities
Escalating costs, data scarcity, and diminishing gains mean that simply building larger AI models may no longer guarantee breakthroughs. In such a scenario, LLM developers will have to refine new approaches to training these models, for example, by diversifying data types and redefining training techniques.
This global challenge has a bearing on India’s AI ambitions. For India, where compute and data resources are relatively scarce, this scaling slowdown poses both a challenge and an opportunity. While the India AI Mission embodies smart priorities such as democratising compute resources and developing local datasets, looming scaling challenges could prove a roadblock. Realising these ambitions requires strong input from research and academia, and improved coordination between policymakers and startups. The scaling wall highlights systemic innovation gaps where sustained support is needed, not only in hardware but also in talent development, safety research, and efficient model design.
Way Forward
To truly harness AI’s transformative power, India must prioritise policy actions and ecosystem shifts that support smarter, safer, and context-rich research through the following measures:
- Driving Efficiency and Compute Innovation: Instead of relying on brute-force scaling, India should invest in research and startups working on efficient architectures, energy-conscious training methods, and compute optimisation.
- Investing in Multimodal and Diverse Data: While indigenous datasets are being developed under the India AI Mission through AI Kosha, they must be ethically sourced from speech, images, video, sensor data, and regional content, apart from text, to enable context-rich AI models truly tailored to Indian needs.
- Addressing Core Problems for Trustworthy AI: LLMs offered by all major companies, like OpenAI, Grok, and Deepseek, have the problem of unreliability, hallucinations, and biases, since they are primarily built on scaling large datasets and parameters, which have inherent limitations. India should invest in capabilities to solve these issues and design more trustworthy LLMs.
- Supporting Talent Development and Training: Despite its substantial AI talent pool, India faces an impending demand-supply gap. It will need to launch national programs and incentives to upskill engineers, researchers, and students in advanced AI skills such as model efficiency, safety, interpretability, and new training paradigms
Conclusion
The AI scaling wall debate is a reminder that the future of LLMs will depend not on ever-larger models but on smarter, safer, and more sustainable innovation. A new generation of AI is approaching us, and India can help shape its future. The country’s AI Mission and startup ecosystem are well-positioned to lead this shift by focusing on localised needs, efficient technologies, and inclusive growth, if implemented effectively. How India approaches this new set of challenges and translates its ambitions into action, however, remains to be seen.
References
- https://blogs.nvidia.com/blog/ai-scaling-laws/
- https://www.marketingaiinstitute.com/blog/scaling-laws-ai-wall
- https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/
- https://indiaai.gov.in/
- https://www.deloitte.com/in/en/about/press-room/bridging-the-ai-talent-gap-to-boost-indias-tech-and-economic-impact-deloitte-nasscom-report.html
Introduction
In today’s digital age, everyone is online, so is the healthcare sector worldwide. The latest victim of a data breach is Hong Kong healthcare provider OT&P Healthcare, which has recently suffered a data loss of 100,000 patients that exposed their medical history, and caused concern to the patients and their families. This breach has highlighted the vulnerability in the healthcare sector /industry and the importance of cybersecurity measures to protect sensitive information. This blog will explore the data breach, its impact on patients and families, and the best practices for safeguarding sensitive data.
Background: On 13 March 2023, an incident took place where the Cybercriminals deployed a variety of methods to breach the data, which included phishing attacks, malware, and exploiting software vulnerabilities. OT&P Health Care exploits the sensitive data of the patients. According to OT&P Healthcare, it is working together with law enforcement and has hired a cybersecurity firm to investigate the incident and tighten its security procedures. Like other data breaches, the inquiry will most certainly take some time to uncover the actual source and scope of the intrusion. Regardless of the cause of the breach, this event emphasises the significance of frequent cybersecurity assessments, vulnerability testing, and proactive data protection measures. Considering the dangers in the healthcare sector must be cautious in preserving the personal and medical records of the patients as they are sensitive in nature.
Is confidentiality at stake due to data breaches?
Medical data breaches represent a huge danger to patients, with serious ramifications for their privacy, financial security, and physical health. Some of the potential hazards and effects of medical data breaches are as follows:
- Compromise of patient data: Medical data breaches can expose patients’ sensitive information, such as their medical history, diagnoses, treatment, and medication regimens. If history is highly personal and reaches the wrong hands, it could harm someone’s reputation.
- Identity theft: the data stolen by the cybercriminals may be used by them to open credit accounts and apply for loans, Patients can suffer severe financial and psychological stress because of identity theft since they may spend years attempting to rebuild their credit and regain their good name.
- Medical Fraud: Medical data breaches can also result in medical fraud, which occurs when hackers use stolen medical information to charge insurance companies for services that were not performed or for bogus treatments or procedures. Medical fraud may result in financial losses for patients, insurance companies, and individuals obtaining ineffective or risky medical care.
Impact on patients
Data breach does not cause financial loss but may also profoundly impact their mental health and emotional well-being. let’s understand some psychological impacts:
- Anxiety and Stress: Patients whose medical data has been affected may experience feelings of stress and anxiety as they worry about the potential consequences of the data loss can be misused.
- Loss of faith: Patients may lose faith in their healthcare providers if they believe their personal and medical information needs to be properly As a result, patients may be reluctant to disclose sensitive information to their healthcare professionals, compromising the quality of their medical care.
- Sense of Embarrassment: Patients may feel disregarded or ashamed if their sensitive medical information is revealed, particularly if it relates to a sensitive or stigmatised This might lead to social isolation and a reluctance to seek further medical treatment.
- Post-Traumatic Stress Disorder (PTSD): Patients who have experienced a data breach may have PTSD symptoms such as nightmares, flashbacks, and avoidance behaviour. This can have long-term consequences for their mental health and quality of life.
Legal Implications of Data Breach
Patients have certain legal rights and compensations when a healthcare data breach occurs. Let’s have a look at them: –
- Legal Liability: Healthcare providers have a legal obligation to protect data under various privacy and security laws if they fail to take appropriate measures to protect patient data, they may be held legally liable for resulting harm.
- Legal recourse: Patients whose healthcare data leak has impacted them have the legal right to seek compensation and hold healthcare providers and organisations This could involve suing the healthcare practitioner or organisationresponsible for the breach.
- Right to seek compensation: the patients who have suffered from the data loss are liable to seek compensation.
- Notifications: As soon as a data breach takes place, it impacts the organisation and its customers. In this case, it is the responsibility of the OT&P to
- notify their patients about the data breach and inform them about the consequences.
- Take Away from OT &P Healthcare Data Breach: with the growing data breaches in the healthcare industry, here are some lessons that can be learned from the Hong Kong data breach.
- Cybersecurity: The OT&P Healthcare data breach points to the vital need to prioritisecybersecurity in healthcare. To secure themselves, hospitals and the healthcare sector must use the latest software to protect their data.
- Regular risk assessments: These assessments help find system vulnerabilities and security issues. This can assist healthcare providers and organisationsin taking the necessary actions to avoid data breaches and boost their cybersecurity defences.
- Staff Training: Healthcare workers should be taught cybersecurity best practices, such as detecting and responding to phishing attempts, handling sensitive data, and reporting suspected security breaches. This training should be continued to keep workers updated on the newest cybersecurity trends and threats.
- Incident Response Strategy: Healthcare providers and organisations should have an incident response policy in place to deal with data breaches and other security concerns. This strategy should include protocols for reporting instances, limiting the breach, and alerting patients and verified authorities.
Conclusion
The recent data breach in Hong Kong healthcare impact not only the patients but also their trust is shaken. As we continue to rely on digital technology for medical records and healthcare delivery, it is essential that healthcare providers and organisations take proactive steps to protect patient data from cyber-attacks and data breaches.
References
Introduction:
The National Security Council Secretariat, in strategic partnership with the Rashtriya Raksha University, Gujarat, conducted a 12-day Bharat National Cyber Security Exercise in 2024 (from 18th November to 29th November). This exercise included landmark events such as a CISO (Chief Information Security Officers) Conclave and a Cyber Security Start-up exhibition, which were inaugurated on 27 November 2024. Other key features of the exercise include cyber defense training, live-fire simulations, and strategic decision-making simulations. The aim of the exercise was to equip senior government officials and personnel in critical sector organisations with skills to deal with cybersecurity issues. The event also consisted of speeches, panel discussions, and initiatives such as the release of the National Cyber Reference Framework (NCRF)- which provides a structured approach to cyber governance, and the launch of the National Cyber Range(NCR) 1.0., a cutting-edge facility for cyber security research training.
The Deputy National Security Advisor, Shri T.V. Ravichandran (IPS) reiterated, through his speech, the importance of the inclusion of technology in challenges with respect to cyber security and shaping India’s cyber strategy in a manner that is proactive. The CISOs of both government and private entities were encouraged to take up multidimensional efforts which included technological upkeep but also soft skills for awareness.
CyberPeace Outlook
The Bharat National Cybersecurity Exercise (Bharat NCX) 2024 underscores India’s commitment to a comprehensive and inclusive approach to strengthening its cybersecurity ecosystem. By fostering collaboration between startups, government bodies, and private organizations, the initiative facilitates dialogue among CISOs and promotes a unified strategy toward cyber resilience. Platforms like Bharat NCX encourage exploration in the Indian entrepreneurial space, enabling startups to innovate and contribute to critical domains like cybersecurity. Developments such as IIT Indore’s intelligent receivers (useful for both telecommunications and military operations) and the Bangalore Metro Rail Corporation Limited’s plans to establish a dedicated Security Operations Centre (SOC) to counter cyber threats are prime examples of technological strides fostering national cyber resilience.
Cybersecurity cannot be understood in isolation: it is an integral aspect of national security, impacting the broader digital infrastructure supporting Digital India initiatives. The exercise emphasises skills training, creating a workforce adept in cyber hygiene, incident response, and resilience-building techniques. Such efforts bolster proficiency across sectors, aligning with the government’s Atmanirbhar Bharat vision. By integrating cybersecurity into workplace technologies and fostering a culture of awareness, Bharat NCX 2024 is a platform that encourages innovation and is a testament to the government’s resolve to fortify India’s digital landscape against evolving threats.
References
- https://ciso.economictimes.indiatimes.com/news/cybercrime-fraud/bharat-cisos-conclave-cybersecurity-startup-exhibition-inaugurated-under-bharat-ncx-2024/115755679
- https://pib.gov.in/PressReleasePage.aspx?PRID=2078093
- https://timesofindia.indiatimes.com/city/indore/iit-indore-unveils-groundbreaking-intelligent-receivers-for-enhanced-6g-and-military-communication-security/articleshow/115265902.cms
- https://www.thehindu.com/news/cities/bangalore/defence-system-to-be-set-up-to-protect-metro-rail-from-cyber-threats/article68841318.ece
- https://rru.ac.in/wp-content/uploads/2021/04/Brochure12-min.pdf
