#FactCheck - Viral Video Claiming Snowfall Near Ambience Mall in Gurugram Is Misleading

Introduction

Quantum mechanics is not a new field. It finds its roots in the works of physicists such as Niels Bohr in the 1920s, and has informed the development of technologies like nuclear power in the past. But with developments in science and engineering, we are at the cusp of harnessing quantum mechanics for a new wave of real-world uses in sensing and metrology, computing, networking, security, and more. While at different stages of development, quantum technologies have the potential to revolutionise global security, economic systems, and digital infrastructure. The science is dazzling, but it is equally urgent to start preparing for its broader impact on society, especially regarding privacy and digital security. This article explores quantum computing, its threat to information integrity, and global interdependencies as they exist today, and discusses policy areas that should be addressed.

What Is Quantum Computing?

Classical computers use binary bits (0 or 1) to represent and process information. This binary system forms the base of modern computing. But quantum computers use qubits (quantum bits) as a basic unit, which can exist in multiple states ( 0, 1, both, or with other qubits) simultaneously due to quantum principles like superposition and entanglement. This creates an infinite range of possibilities in information processing and allows quantum machines to perform complex computations at speeds impossible for traditional computers. While still in their early stages, large-scale quantum computers could eventually:

1. Break modern encryption systems
2. Model complex molecules for drug discovery
3. Optimise global logistics and financial systems
4. Accelerate AI and machine learning

While this could eventually present significant opportunities in fields such as health innovation, material sciences, climate modelling, and cybersecurity, challenges will continue to arise even before the technology is ready for commercial application. Policymakers must start anticipating their impact.

Threats

Policy solutions surrounding quantum technologies will depend on the pace of development of the elements of the quantum ecosystem. However, the most urgent concerns regarding quantum computing applications are the risk to encryption and the impact on market competition.

1. Cybersecurity Threat: Digital infrastructure today (e.g., cloud services, networks, servers, etc.) across sectors such as government, banking and finance, healthcare, energy, etc., depends on encryption for secure data handling and communications. Threat actors can utilise quantum computers to break this encryption. Widely used asymmetric encryption keys, such as RSA or ECC, are particularly susceptible to being broken. Threat actors could "harvest now, decrypt later”- steal encrypted data now and decrypt it later when quantum capabilities mature. Although AES-256, a symmetric encryption standard, is currently considered resistant to quantum decryption, it only protects data after a secure connection is established through a process that today relies on RSA or ECC. This is why governments and companies are racing to adopt Post- Quantum Cryptography (PQC) and quantum key distribution (QKD) to protect security and privacy in digital infrastructure.

2. Market Monopoly: Quantum computing demands significant investments in infrastructure, talent, and research, which only a handful of countries and companies currently possess. As a result, firms that develop early quantum advantage may gain unprecedented competitive leverage through offerings such as quantum-as-a-service, disrupting encryption-dependent industries, or accelerating innovation in pharmaceuticals, finance, and logistics. This could reinforce the existing power asymmetries in the global digital economy. Given these challenges, proactive and forward-looking policy frameworks are critical.

What Should Quantum Computing Policy Cover?

Commercial quantum computing will transform many industries. Policy will have to be flexible and be developed in iterations to account for fast-paced developments in the field. It will also require enduring international collaboration to effectively address a broad range of concerns, including ethics, security, privacy, competition, and workforce implications.

1. Cybersecurity and Encryption: Quantum policy should prioritise the development and standardisation of quantum-resistant encryption methods. This includes ongoing research into Post-Quantum Cryptography (PQC) algorithms and their integration into digital infrastructure. Global policy will need to align national efforts with international standards to create unified quantum-safe encryption protocols.

2. Market Competition and Access: Given the high barriers to entry, regulatory frameworks should promote fair competition, enabling smaller players like startups and developing economies to participate meaningfully in the quantum economy. Frameworks to ensure equitable access, interoperability, and fair competition will become imperative as the quantum ecosystem matures so that society can reap its benefits as a whole.

4. Ethical Considerations: Policymakers will have to consider the impact on privacy and security, and push for the responsible use of quantum capabilities. This includes ensuring that quantum advances do not contribute to cybercrime, disproportionate surveillance, or human rights violations.

5. International Standard-Setting: Setting benchmarks, shared terminologies, and measurement standards will ensure interoperability and security across diverse stakeholders and facilitate global collaboration in quantum research and infrastructure.

6. Military and Defence Implications: Militarisation of quantum technologies is a growing concern, and national security affairs related to quantum espionage are being urgently explored. Nations will have to develop regulations to protect sensitive data and intellectual property from quantum-enabled attacks.

7. Workforce Development and Education: Policies should encourage quantum computing education at various levels to ensure a steady pipeline of talent and foster cross-disciplinary programs that blend quantum computing with fields like machine learning, AI, and engineering.

8. Environmental and Societal Impact: Quantum computing hardware requires specialised conditions such as extreme cooling. Policy will have to address the environmental footprint of the infrastructure and energy consumption of large-scale quantum systems. Broader societal impacts of quantum computing, including potential job displacement, accessibility issues, and the equitable distribution of quantum computing benefits, will have to be explored.

Conclusion

Like nuclear power and AI, the new wave of quantum technologies is expected to be an exciting paradigm shift for society. While they can bring numerous benefits to commercial operations and address societal challenges, they also pose significant risks to global information security. Quantum policy will require regulatory, strategic, and ethical frameworks to govern the rise of these technologies, especially as they intersect with national security, global competition, and privacy. Policymakers must act in collaboration to mitigate unethical use of these technologies and the entrenchment of digital divides across countries. The OECD’s Anticipatory Governance of Emerging Technologies provides a framework of essential values like respect for human rights, privacy, and sustainable development, which can be used to set a baseline, so that quantum computing and related technologies benefit society as a whole.

References

• https://www.weforum.org/stories/2024/07/explainer-what-is-quantum-technology/
• https://www.paconsulting.com/insights/what-is-quantum-technology
• https://delinea.com/blog/quantum-safe-encryption#:~:text=This%20can%20result%20in%20AES,%2D128%20to%20AES%2D256.
• https://www.oecd.org/en/publications/a-quantum-technologies-policy-primer_fd1153c3-en.html

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Introduction

Apple launched Passkeys with iOS 16 as a more authentic and secure mechanism. It is safer than passwords, and it is more efficient in comparison to passwords. Apple users using iOS 16 passkeys features should enable two-factor authentication.  The passkeys are an unchallenging mechanism than the passwords for the passkeys. The user just has to open the apps and websites, and then the biometric sensor automatically recognises the face and fingerprints. There can be a PIN and pattern used to log instead of passwords. The passkeys add an extra coating of protection to the user’s systems against cyber threats like phishing attacks by SMS and one-time password-based. In a report 9 to 5mac, there is confirmation that 95% of users are using passkeys. Also, with the passkeys, users’ experience will be better, and it is a more security-proof mechanism. The passwords were weak, reused credentials and credentials leaked, and the chances of phishing attacks were real.

What are passkeys?

Passkey is a digital key linked to users’ accounts and websites or applications. Passkeys allow the user to log into any application and website without entering passwords, usernames, or other details. The aim of this new feature is to replace the old long pattern of entering passwords for going through any websites and applications.

The passkeys are developed by Microsoft, Apple, and Google together, and it is also called FIDO Authentication (Fast identity online). It eliminates the need to remember passwords and the need for typing. So, the passkeys work as they replace the password with a unique digital key, which is tied to the account then, the key is stored in the device itself, and it is end-to-end encrypted. The passkeys will always be on the sites on which users specifically created them. the passkeys use the technology of cryptography for more security purposes.  And the passkeys guarantee against the phish.

And since the passkeys follow FIDO standards so, this also can be used for third-party nonapple devices as the third-party device generate a QR code that enables the iOS user to scan that to log in. It will recognise the face of the person for authentication and then asks for permission on another device to deny or allow.

How are passkeys more secure than passwords?

The passkeys follow the public key cryptographic protocols that support the security keys, and they work against phishing and other cyber threats. It is more secure than SMS and apps based on one-time passwords. And another type of multi-factor authentication.

Why are passwords insecure?

The users create passwords easily, and it is wondering if they are secure. The very important passwords are short and easy to crack as they generally relate to the user’s personal information or popular words. One password is reused by the user to the different accounts, and then, in this case, hacking one account gives access to all accounts to the hackers. The problem is that passwords have inherent flaws, like they could be easily stolen.

Are passkeys about to become obligatory?

Many websites restrict the type of passwords, as some websites ask for mixtures of numbers and symbols, and many websites ask for two-factor authentication. There is no surety about the obligation of passkeys widespread as it is still a new concept and it will take time, so it is going to be optional for a while.

• There was a case of a Heartland payment system data breach, and Heartland was handling over 100 million monthly credit card transactions for 175,000 retailers at the time of the incident. Visa and MasterCard detected the hack in January 2009 when they notified Heartland of suspicious transactions. And this happened due to a password breach. The corporation paid an estimated $145 million in settlement for illegal payments. Today, data-driven breaches affect millions of people’s personal information.
• GoDaddy reported a security attack in November that affected the accounts of over a million of its WordPress customers. The attacker acquired unauthorised access to GoDaddy’s Managed WordPress hosting environment by hacking into the provisioning system in the company’s legacy Managed WordPress code.

Conclusion

The use of strong and unique passwords is an essential requirement to safeguard information and data from cyberattacks, but still, passwords have its own disadvantages. And by the replacement of passwords, a passkey, a digital key that ensures proper safety and there is security against cyberattacks and cybercrimes through passkey. There are cases above-mentioned that happened due to the password’s weaker security. And in this technology world, there is a need for something for protection and prevention from cybercrimes, and the world dumps passwords and adopts passkeys.

References

• https://www.cnet.com/tech/mobile/switch-to-passkeys-more-secure-than-passwords-on-ios-16-iphone-14/
• https://economictimes.indiatimes.com/magazines/panache/google-is-ending-passwords-rolls-out-passkeys-for-easy-log-in-how-to-set-it/articleshow/99988444.cms?from=mdr
• https://security.googleblog.com/2023/05/making-authentication-faster-than-ever.html#:~:text=Because%20they%20are%20based%20on,%2Dfactor%20authentication%20(MFA).

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. 

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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.

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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.

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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 

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