#FactCheck: Old 2018 Video of Putin and Xi Jinping Cooking Pancakes Falsely Linked to 2026 BRICS Summit

Introduction

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Misinformation is no longer a challenge limited to major global platforms or widely spoken languages. In India and many other countries, false information is increasingly disseminated through local and vernacular languages, allowing it to reach communities more directly and intimately. While regional language content has played a crucial role in expanding access to information, it has also emerged as a powerful driver of misinformation by bad actors, and it often becomes harder to detect and counter. The challenge of local language misinformation is not merely digital in nature; it is deeply social, cultural, and shaped by specific local contexts.

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Why Local-Language Misinformation Is More Impactful

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A person’s mother tongue can be a highly effective medium for misinformation because it carries emotional resonance and a sense of authenticity. Information that aligns with an individual’s linguistic and cultural background is often trusted the most. When false narratives are framed using familiar expressions, local references, or community-specific concerns, they are more readily accepted and shared more widely.

Misinformation in a language like English, which is more heavily moderated, does not usually have the same impact as content in vernacular languages. In the latter case, such content tends to circulate within closed networks such as family WhatsApp groups, regional Facebook pages, local YouTube channels, and community forums. These spaces are often perceived as safe or trusted, which lowers scepticism and encourages the spread of unverified information.

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The Role of Digital Platforms and Algorithms

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Although social media platforms have opened up access to the content of regional languages, the moderation mechanisms have not kept up. The automated control systems for content are frequently trained mainly on the dominant languages, thus missing the detection of vernacular speech, slang, dialects, and code-mixing. 

This results in a disparity in the enforcement of laws where misinformation in local languages:

• Doesn’t go through automated fact-checking tools
• Is subject to human moderation takes place at a slower pace
• Is less prone to being reported or flagged
• Gains unrestrained access for a longer time period than first imagined

The problem is further magnified by algorithmic amplification. Content that triggers very strong emotional reactions fear, anger, pride, or outrage, has a higher chance of being promoted, irrespective of its truthfulness. In regional situations, such content may very quickly sway public opinion even in very closely knit communities.

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Forms of Vernacular Misinformation

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Local-language misinformation appears in various forms:

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• Health misinformation, with such examples as panic remedies, vaccine myths, and misleading medical prescriptions
• Political misinformation, which is mostly identified with regional identity, local grievances, or community narratives
• Rumours regarding disasters that are very hard to control and spread hatred during floods, earthquakes, or other public emergencies
• Economic and financial frauds that are perpetrated via the local dialect authorities or trusted institutions
• Cultural and religious untruths, which are based on exploiting the core of the beliefs

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The regional aspect of such misinformation makes it very difficult to be corrected because the fact-checks in other languages may not get to that audience.

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Community-Level Consequences

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The effect of misinformation in local languages is not only about the misdirection of individuals. It can also:

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• Negatively affect the process of public institutions gaining trust
• Support social polarisation and communal strife
• Get in the way of public health measures
• Help shape the decision-making process in elections at the grassroots level
• Take advantage of the digitally illiterate poor people

In a lot of scenarios, the damage done is not instant but rather accumulative, thus changing perceptions and supporting false worldviews more.

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Why Countering Vernacular Misinformation Is Difficult

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Multiple structural layers make it difficult to respond effectively:

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1. Variety of Languages: Just in India, there are many languages and dialects, which are very hard to monitor universally.
2. Culturally Aware Systems: The local languages sometimes bear meanings that are deeply rooted in the culture, such as by using sarcasm or referring to history, and automated systems are unable to interpret it correctly.
3. Reporting Not Common: Users might not spot misinformation or may not want to be a part of the struggle by showing the content shared by reliable members of the community.
4. Insufficient Fact-Checking Capacity: Resources are often unavailable for fact-checking organisations to perform their duties worldwide in different languages effectively.

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Building a Community-Centric Response

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Overcoming misinformation in local languages needs a community-driven resilience approach instead of a platform-centric one. Some of the key actions are: 

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• Boosting Digital Literacy: Users will be able to question, verify, and put the content on hold before sharing it, thanks to the regional language awareness campaigns that will be conducted.
• Facilitating Local Fact-Checkers: Local journalists, educators, and NGOs are the main players in providing the context for verification.
• Accountability of Platforms: It is necessary for technology companies to support global moderation in several languages, the hiring of local experts, and the implementation of transparent enforcement mechanisms.
• Contemplating Policy and Governance: Regulatory frameworks should facilitate proactive risk assessment while controlling the right to free expression.
• Establishment of Trusted Local Intermediaries: Community leaders, health workers, teachers, and local organisations can engage in preventing misinformation among the networks that they are trusted in.

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The Way Forward

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Misinformation in local languages is not a minor concern; it is an issue that directly affects the future of digital trust. As the number of users accessing the internet through local language interfaces continues to grow, the volume and influence of regional content will also increase. If measures do not include all language groups, misinformation will remain least corrected and most influential at the community level, where it is also the hardest to identify and address.

Such a problem exists only if the power of language is not recognised. Therefore, one can say that it is necessary to protect the quality of information in local languages, not only for digital safety but for other factors as well, such as social cohesion, democratic participation, and public well-being.

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Conclusion

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Vernacular content has the potential to be very powerful in the ways it can inform, include and empower; meanwhile, if it goes unmonitored, it has the same potential to mislead, divide, and harm. Mis-disinformation in local languages calls for the cooperation of platforms, regulators, NGOs, and the communities involved. To win over the digital ecosystem, it has to speak all languages, not only for communication but also for protection.

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References

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• https://www.mdpi.com/2304-6775/10/2/15
• https://afpr.in/regional-languages-shaping-indias-online-discourse/
• https://medium.com/@pratikgsalvi03/how-indias-misinformation-surge-and-media-credibility-crisis-are-undermining-democracy-public-dc8ad7be8e12
• https://projectshakti.in/
• https://journals.sagepub.com/doi/10.1177/02683962211037693
• https://rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-11/505-518.pdf
• https://www.irjmets.com/upload_newfiles/irjmets71200016652/paper_file/irjmets71200016652.pdf

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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. 

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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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Introduction

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Purchasing online currencies through one of the numerous sizable digital marketplaces designed specifically for this purpose is the simplest method. The quantity of cryptocurrency and money paid. These online marketplaces impose an exchange fee. After being obtained, digital cash is stored in a digital wallet and can be used in the metaverse or as real money to make purchases of goods and services in the real world. Blockchain ensures the security and decentralisation of each exchange. 

Its worth and application are comparable to those of gold: when a large number of investors choose this valuable asset, its value increases and vice versa. This also applies to cryptocurrencies, which explains why they have become so popular in recent years. The metaphysical realm is an online space where users can communicate with one another via virtual personas, among other features. Furthermore, money and commerce always come up when people communicate. 

Web3 is welcoming the metaverse, and in an environment where conventional currency isn't functional, its technologies are making it possible to use cryptocurrencies. Non-Fungible Tokens (NFTs) can be used to monitor intellectual rights to ownership in the metaverse, while cryptocurrencies are used to pay for content and incentivise consumers. This write-up addresses what the metaverse crypto is. It also delves into the advantages, disadvantages, and applications of crypto in this context. 

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Convergence of Metaverse and Cryptocurrency

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As the main form of digital money in the Metaverse, digital currencies can be used to do business and exchange in the digital realm. The term "metaverse" describes a simulation of reality where users can communicate in real time with other users and an environment created by computers. The acquisition and exchange of virtual products, virtual possessions, and electronic creativity within the Metaverse can all be made possible via cryptocurrency. 

Many digital currencies are based on blockchain software, which can offer an accessible and safe way to confirm payments and manage digital currencies in the Metaverse. By giving consumers vouchers or other electronic currencies in exchange for their accomplishments or contributions, cryptocurrency might encourage consumer engagement and involvement in the Metaverse.

In the Metaverse, cryptocurrency can also facilitate portable connectivity, enabling users to move commodities and their worth between various virtual settings and platforms.

The idea of fragmentation in the Metaverse, where participants have more ownership and control over their virtual worlds, is consistent with the decentralised characteristics of cryptocurrencies.

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Advantages of Metaverse Cryptocurrency

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There are countless opportunities for creativity and discovery in the metaverse. Because the blockchain is accessible to everyone, unchangeable, and password-protected, metaverse-centric cryptocurrencies offer greater safety and adaptability than cash. Crypto will be crucial to the evolution of the metaverse as it keeps growing and more individuals show interest in using it. Here are a few of the variables influencing the growth of this new virtual environment.

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Safety

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Your Bitcoin wallet is intimately linked to your personal information, progress, and metaverse possessions. Additionally, if your digital currency wallet is compromised, especially if your account credentials are weak, public, or connected to your real-world identity, cybercriminals may try to steal your money or personal data. 

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Adaptability

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Digital assets can be accessed and exchanged worldwide due to cryptocurrencies’ ability to transcend national borders. By utilising a local cryptocurrency, many metaverse platforms streamline transactions and eliminate the need for frequent currency conversions between various digital or fiat currencies. Another advantage of using autonomous contract languages is for metaverse cryptos. When consumers make transactions within the network, applications do away with the need for administrative middlemen.

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Objectivity

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By exposing interactions in a publicly accessible distributed database, the use of blockchain improves accountability. It is more difficult for dishonest people to raise the cost of digital goods and land since Bitcoin transactions are public. Metaverse cryptocurrencies are frequently employed to control project modifications. The outcomes of these legislative elections are made public using digital contracts. 

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NFT, Virtual worlds, and Digital currencies  

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Using the NFT is an additional method of using Bitcoin for metaverse transactions. These are distinct electronic documents that have significant potential value.  

A creator must convert an electronic work of art into a virtual object or virtual world if they want to display it digitally in the metaverse. Artists produce one-of-a-kind, serialised pieces that are given an NFT that may be acquired through Bitcoin payments. 

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Applications of Metaverse Cryptography

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Fiat money or independent virtual currencies like Robux are used by Web 2 metaverse initiatives to pay for goods, real estate, and services. Fiat lacked the adaptability of cryptocurrencies with automated contract capabilities, even though it may be used to pay for goods and finance the creation of projects. Users can stake these within the network virtual currencies to administer distributed metaverses, and they have all the same functions as fiat currency.

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Banking operations

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Lending digital cash to purchase metaverse land is possible. Banks that have already made inroads into the metaverse include HSBC and JPMorgan, both of which possess virtual real estate. "We are making our foray into the metaverse, allowing us to create innovative brand experiences for both new and existing customers," said Suresh Balaji, chief marketing officer for HSBC in Asia-Pacific.

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Purchasing

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An increasingly important aspect of the metaverse is online commerce. Users can interact with real-world brands, tour simulated malls, and try on virtual apparel for their characters. Adidas, for instance, debuted an NFT line in 2021 that included customizable peripherals for the Sandbox. Buyers of NFTs crossed the line separating the virtual universe and the actual world to obtain the tangible goods associated with their NFTs.

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Authority

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Metaverse initiatives are frequently governed by cryptocurrency. Decentraland, a well-known Ethereum-based metaverse featuring virtual reality components, permits users to submit and vote on suggestions provided they own specific tokens.

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Conclusion

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The combination of the virtual world and cryptocurrencies creates novel opportunities for trade, innovation, and communication. The benefits of using the blockchain system are increased objectivity, safety, and flexibility. By facilitating exclusive ownership of digital assets, NFTs enhance metaverse immersion even more. In the metaverse, cryptocurrencies are used in banking, shopping, and government, forming a user-driven, autonomous digital world. The combination of cryptocurrencies and the metaverse will revolutionise how we interact with online activities, creating a dynamic environment that presents both opportunities and difficulties.

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References

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• https://www.telefonica.com/en/communication-room/blog/metaverse-and-cryptocurrencies-what-is-their-relationship/
• https://hedera.com/learning/metaverse/metaverse-crypto
• https://www.linkedin.com/pulse/unleashing-power-connection-between-cryptocurrency-ai-amit-chandra/

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