#FactCheck: Debunking the Edited Image Claim of PM Modi with Hafiz Saeed
Executive Summary:
A photoshopped image circulating online suggests Prime Minister Narendra Modi met with militant leader Hafiz Saeed. The actual photograph features PM Modi greeting former Pakistani Prime Minister Nawaz Sharif during a surprise diplomatic stopover in Lahore on December 25, 2015.
The Claim:
A widely shared image on social media purportedly shows PM Modi meeting Hafiz Saeed, a declared terrorist. The claim implies Modi is hostile towards India or aligned with terrorists.
Fact Check:
On our research and reverse image search we found that the Press Information Bureau (PIB) had tweeted about the visit on 25 December 2015, noting that PM Narendra Modi was warmly welcomed by then-Pakistani PM Nawaz Sharif in Lahore. The tweet included several images from various angles of the original meeting between Modi and Sharif. On the same day, PM Modi also posted a tweet stating he had spoken with Nawaz Sharif and extended birthday wishes. Additionally, no credible reports of any meeting between Modi and Hafiz Saeed, further validating that the viral image is digitally altered.
In our further research we found an identical photo, with former Pakistan Prime Minister Nawaz Sharif in place of Hafiz Saeed. This post was shared by Hindustan Times on X on 26 December 2015, pointing to the possibility that the viral image has been manipulated.
Conclusion:
The viral image claiming to show PM Modi with Hafiz Saeed is digitally manipulated. A reverse image search and official posts from the PIB and PM Modi confirm the original photo was taken during Modi’s visit to Lahore in December 2015, where he met Nawaz Sharif. No credible source supports any meeting between Modi and Hafiz Saeed, clearly proving the image is fake.
- Claim: Debunking the Edited Image Claim of PM Modi with Hafiz Saeed
- Claimed On: Social Media
- Fact Check: False and Misleading
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Introduction
Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.
What isQuantum computing?
Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.
Interconnected Future
Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.
- Enhancing AI Capabilities:
Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.
- Solving Complex Problems:
The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.
- Advancements in Finance and Optimisation:
The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.
- Strengthening Cybersecurity:
Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.
- Quantum-Inspired AI:
Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.
How Quantum Computing and AI Should be Regulated-
As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.
- Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
- Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
- Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
- International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
- Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:
- Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
- Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
- Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
- Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
- Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.
Conclusion:
Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.
Executive Summary
A video showing a massive crowd is being shared on social media with the claim that it shows an anti-reservation protest held at Jantar Mantar. However, a research done by the research wing of the CyberPeace revealed that the video is not from any anti-reservation protest at Jantar Mantar, but from the Jagannath Rath Yatra organized in Puri, Odisha.
Claim:
The video is being shared on X (formerly Twitter) with a viral caption that translates to: “Today, this massive gathering at Jantar Mantar created so much fear in the ruling government that upper-caste voices are being put under HOUSE ARREST across various states. Tomorrow will bring a tsunami, not just a surge. Until caste-based reservation, the SC/ST Act, and UGC regulations are removed, it will be difficult to stop us.”
https://x.com/bjpryvsh/status/2091554860785438887?s=20
Fact Check:
To investigate the viral video, reverse image searches were conducted using keyframes extracted from the clip. This led to an Instagram post uploaded on July 18. The caption accompanying the video clearly identified the footage as being from the Jagannath Rath Yatra in Puri, Odisha.
https://www.instagram.com/p/Da7tF2Etiae/
The visuals in the video were matched with the surroundings of the Jagannath Temple in Puri available on Google Maps Street View, confirming beyond doubt that the location in the video is near the Jagannath Temple in Puri.
https://www.google.com/maps/place/JAY+JAGANNATH+HANDICARFTS/@
Similar visuals were found in photos uploaded by the X account of The New Indian Express Odisha on July 16, 2026. The imagery in these photographs closely matched the scenes in the viral video, and the caption stated that they were captured during the Jagannath Rath Yatra in Puri.
https://x.com/XpressOdisha/status/2077697637688775015
Conclusion:
Based on the evidence gathered during our research, it is clear that the video being falsely circulated as an anti-reservation protest at Jantar Mantar is actually footage of the Jagannath Rath Yatra in Puri, Odisha.
Executive Summary
A video clip of Indian Army Chief Upendra Dwivedi is being widely shared across social media platforms with the claim that he criticised the Indian government's policy towards Taliban-ruled Afghanistan. In the viral clip, the Army Chief is allegedly heard saying that India is doing nothing except sending money to the Taliban government due to the Centre’s failed policies.
However, CyberPeace Research Wing research found the claim to be false. The viral video is a deepfake. In the original footage, General Upendra Dwivedi was speaking about Operation Sindoor and the preparedness of the Indian Armed Forces for a possible “Operation Sindoor 2.0.” He made no remarks regarding the Taliban or the government’s Afghanistan policy.
Claim
An X user named “XaQil” shared the viral video on May 31, 2026, with the caption:“Due to failed policies of the Central Government, India is doing nothing except sending Money to Taliban government. How can money alone do everything?” — Army Chief General Upendra Dwivedi.
Fact Check
In the viral video, General Dwivedi is purportedly heard making remarks about India’s Afghanistan policy, the Taliban, Pakistan, Iran, and India’s diplomatic position. To verify the claim, we searched for the original source of the video. A reverse image search of key frames led us to the authentic footage posted by news agency ANI on its official X account on May 30, 2026.
In the original video, General Dwivedi was responding to a question about Operation Sindoor. He stated that the operation was still ongoing, hostilities had only paused temporarily, and that the Indian Armed Forces were fully prepared if “Operation Sindoor 2.0” became necessary.
He also spoke about enhancing coordination among the three services and maintaining operational readiness.”
No part of his statement mentioned the Taliban, Afghanistan, Pakistan, Iran, or criticism of the Central Government.
Further corroboration came from media reports covering the same event. According to a report published by Navbharat Times on May 30, 2026, General Dwivedi made the remarks during the passing-out parade of the 150th course of the National Defence Academy (NDA), where he attended as the chief guest. He reiterated that the armed forces were fully prepared for “Operation Sindoor 2.0” if required.
Since the content of the viral clip did not match the original statement, we examined it using InVID’s MeVer Deepfake Detector. The tool flagged signs of AI manipulation and indicated that the video had likely been altered.
Conclusion
Cyber Peace Foundation found that the viral video purportedly showing Army Chief General Upendra Dwivedi criticising the Indian government’s policy towards the Taliban is a deepfake. The Army Chief made no such remarks. The original video was recorded during an NDA event, where he spoke about Operation Sindoor and the preparedness of the Indian Armed Forces for a possible future operation. The viral clip has been manipulated using AI to spread a false narrative.
