#FactCheck - Viral Claim of Highway in J&K Proven Misleading
Executive Summary:
A viral post on social media shared with misleading captions about a National Highway being built with large bridges over a mountainside in Jammu and Kashmir. However, the investigation of the claim shows that the bridge is from China. Thus the video is false and misleading.
Claim:
A video circulating of National Highway 14 construction being built on the mountain side in Jammu and Kashmir.
Fact Check:
Upon receiving the image, Reverse Image Search was carried out, an image of an under-construction road, falsely linked to Jammu and Kashmir has been proven inaccurate. After investigating we confirmed the road is from a different location that is G6911 Ankang-Laifeng Expressway in China, highlighting the need to verify information before sharing.
Conclusion:
The viral claim mentioning under-construction Highway from Jammu and Kashmir is false. The post is actually from China and not J&K. Misinformation like this can mislead the public. Before sharing viral posts, take a brief moment to verify the facts. This highlights the importance of verifying information and relying on credible sources to combat the spread of false claims.
- Claim: Under-Construction Road Falsely Linked to Jammu and Kashmir
- Claimed On: Instagram and X (Formerly Known As Twitter)
- Fact Check: False and Misleading
Related Blogs
Executive Summary
A post is going viral across various social media platforms claiming that the World Health Organization (WHO) has issued a warning over the issue of adulteration in food products. According to the claim, WHO has warned that milk adulteration is continuously increasing in India and if it continues, 87 percent of Indians will suffer from cancer by 2035. CyberPeace Research Wing’s research found that the viral claim has been circulating on social media for several years. Earlier, the same claim was shared with the year changed to 2025, stating that 87 percent of Indians would suffer from cancer by that year. Now, the year has been changed from 2025 to 2035 and the claim is being circulated again. WHO has repeatedly denied this claim and termed it fake news.
Claim:
A Facebook user named ‘Vikalp Kuchamancity’ shared the viral post on August 3, 2026, with a caption claiming, “India produces 14 crore litres of milk, but consumption is 64 crore litres. Where does this extra milk come from? WHO has warned that if adulteration is not stopped, 87 percent of Indians may suffer from cancer by 2035.”
https://www.facebook.com/photo/?fbid=968660469565357&set=a.109816988783047
Fact Check:
While examining the viral post, we noticed that the report displayed in the image carries the date September 19, 2035, even though the current year is 2026. This raised initial doubts about the authenticity of the claim.To investigate further, we conducted a Google search using relevant keywords. During the search, we found a post from the official Facebook page of WHO India, shared on August 3, 2026. The post denied the viral claim and stated that it is false that WHO issued any advisory to the Indian government warning that adulteration in milk and dairy products could lead to cancer and other diseases among 87 percent of Indians by 2035. WHO clarified that no such advisory has been issued.
WHO India Facebook link:
According to data mentioned in a press release issued by the Government of India on November 26, 2025, the country’s total milk production was estimated at 247.87 million tonnes in 2024-25, compared to 239.30 million tonnes in 2023-24. The per capita availability of milk increased from 319 grams per day in 2014-15 to 485 grams per day in 2024-25. The top five milk-producing states are Uttar Pradesh (15.66%), Rajasthan (14.82%), Madhya Pradesh (9.12%), Gujarat (7.78%), and Maharashtra (6.71%). Together, these states contribute 54.09% of India’s total milk production.
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2195049®=3&lang=2
Conclusion:
The research confirmed that there is no evidence of any WHO warning stating that 87 percent of Indians could develop cancer by 2035 due to milk adulteration. WHO has clarified that it has not issued any such advisory. The viral claim is a recycled false claim that has been repeatedly circulated with changed dates.
Introduction
On September 1–2, 2026, the G20 Innovation Ministerial was held at the Carolina Inn in Chapel Hill, North Carolina. This gathering of ministers, senior officials, and high-profile technology executives marked the first sectoral ministerial of the G20 presidency held by the U.S. government this year. The two consensus documents that resulted from the meeting, the G20 Innovation Ministerial Statement and the Carolina Principles, are expected to dictate how the largest world economies regulate AI for many years. In this post, the content of the two documents will be discussed along with their role in the larger context of the U.S. G20 presidency that will culminate in the leaders’ summit in Miami scheduled for December and the response of the tech community, allied governments, and civil society to the framework.
The U.S. Presidency and the Road to Chapel Hill
The United States assumed the rotating G20 presidency on December 1, 2025, and immediately signalled a departure from the priorities pursued by South Africa, the previous chair, whose 2025 Johannesburg summit had emphasised climate finance and debt sustainability for developing economies, a summit the U.S. ultimately boycotted. In its opening statement, the State Department announced that the American presidency would organise the year around three themes: reducing regulatory burdens on economic growth, securing affordable and reliable energy supply chains, and "pioneering new technologies and innovations". The Innovation Ministerial in Chapel Hill was the clearest single expression of that third pillar, and it was scheduled ahead of the finance ministers' meetings in Asheville and the foreign ministers' meetings in Atlanta, with the full cycle set to close at the Leaders' Summit at Trump National Doral in Miami on December 14–15, 2026.
Symbolism was deliberately built into the choice of venue. White House science and technology advisor Michael Kratsios, who chaired the ministerial, argued that North Carolina's Research Triangle and its status as home to the nation's first public university made Chapel Hill an apt backdrop for a statement about translating research into commercial and public benefit. The venue also produced the framework's name: the Carolina Principles.
The Innovation Ministerial Statement: Six Pillars
The Innovation Ministerial Statement is organised around six pillars:
pro-innovation policy frameworks; technology for opportunity and prosperity (chiefly AI adoption in public services);
- skilled technical workforce development;
- intellectual property policy for AI;
- standards that support both AI-enabled standards development and standards for AI systems; and
- industrial innovation and supply-chain resilience.
All six ideas run together in one concept: "Old-fashioned or too rigid regulatory systems can limit innovation in an unintended way," and successful policymaking, short of restricting entrepreneurial initiatives, consists of creating the type of regulatory framework which is effective and flexible. The language is also marked by sensitivity to sovereignty, stating repeatedly that countries have the right "to formulate their policies and express their sovereignty on issues of emerging technology governance" and thus make it possible for twenty countries with different legislative customs to agree upon one text.
On IP, the statement treats the copyright-AI interface as unresolved by design, noting that questions about how doctrines such as prior consent and fair-use-style exceptions apply to AI training "remain appropriately resolved through each member's established legal processes" rather than through a harmonised international rule. On standards, it frames AI itself as a tool for regulatory efficiency for comparing safety and performance data across jurisdictions and reducing duplicative testing while affirming that market competition, not government selection, should determine which AI models succeed.
The Carolina Principles: Structuring the Technology Lifecycle
Where the Ministerial Statement sets out aspirations, the Carolina Principles operationalise them across the "science and technology development lifecycle". The document is structured in three parts. The first, Advancing Discovery and Strengthening Technology Development, calls for sustained public investment in foundational research, blended public-private financing across technology readiness levels, and streamlined administrative processes for R&D funding. The second, Accelerating Validation and Commercialisation, is the most operationally specific section, endorsing regulatory sandboxes, results-based funding mechanisms, and innovation-orientated public procurement to help technologies cross the gap from laboratory to market. The third, Enabling Technology Adoption, is the section that has drawn the most political attention: it commits members to apply existing sector-specific regulatory frameworks to AI wherever possible and to reserve new rulemaking only for "novel considerations that existing legal frameworks cannot adequately address" as defined in The Carolina Principles for Emerging Technologies, 2026, Section III.
That last commitment is the crux of what commentary has called the U.S.'s "light-touch" pitch to the world. Rather than proposing a new international AI regulator, the Carolina Principles ask governments to extend the jurisdiction of existing sector regulators and financial supervisors handling AI in finance and health authorities handling AI in medical devices and to treat novel, cross-cutting AI regulation as an exception rather than a default. Commerce Secretary Howard Lutnick announced that all twenty G20 members, including China, endorsed the framework, calling it a product of "an enormous amount of work" given the divergent starting positions in the room. The timing was pointed: the framework was finalised roughly a month after the European Union's AI Act reached its most consequential enforcement milestone, with binding obligations for high-risk AI systems taking effect on August 2, 2026, a contrast Elon Musk, participating in the ministerial, invoked directly in criticising EU-style regulation.
Reception: Consensus Inside, Scepticism Outside
Inside the Carolina Inn, the mood among industry leaders was buoyant. In a fireside conversation with Secretary Lutnick, OpenAI's Sam Altman described AI as "incredible magic of intelligence in a bottle" while warning that continued infrastructure build-out, more data centres, and more compute would be necessary to keep costs manageable. Nvidia's Jensen Huang and Palantir's Alex Karp offered similarly optimistic assessments, and Anthropic's participation in a voluntary model-testing arrangement with the U.S. government's safety and security institute was cited by OSTP Director Kratsios as evidence that industry-government cooperation, rather than statutory mandate, could deliver trustworthy AI.
Outside the security perimeter, several hundred demonstrators, like students, faculty, and local organisers, gathered to protest what they characterised as an unaccountable alliance between government and AI capital, chanting slogans against both the technology's labour-market effects and the data centre buildout it requires. The juxtaposition captured a tension that runs beneath the consensus text itself: a framework designed to secure the broadest possible international agreement necessarily says less about how risks Labour displacement, energy demand, and algorithmic harm will be managed than it does about how innovation will be accelerated.
Conclusion
The Carolina Principles represent a coherent and, by G20 standards, unusually specific attempt to answer a question that has vexed multilateral technology governance for a decade: how do twenty economies with incompatible regulatory philosophies agree on anything regarding AI? The answer Chapel Hill produced was to agree on process rather than on substantive limits. Whether that process-based consensus proves durable will depend on what happens between now and the Miami Leaders' Summit in December, when heads of state, rather than ministers, will decide whether to elevate the Carolina Principles into the G20's broader economic agenda or treat them as a single ministerial's contribution to a much longer conversation.
References
- https://assets.publishing.service.gov.uk/media/6a996786f5b35599aec19180/g20-innovation-ministerial
- https://www.commerce.gov/sites/default/files/2026-09/THE-CAROLINA-PRINCIPLES-FOR-EMERGING-TE
- https://www.commerce.gov/news/press-releases/2026/09/g20-innovation-ministerial-concludes-conseNSUS statement
- https://www.whitehouse.gov/releases/2026/09/g20-innovation-ministerial-concludes-with-consensus-sstatement/
- https://www.state.gov/policy-issues/g20/feed/
- https://g20.org/g20-united-states/
- https://dailytarheel.com/480187/university/university-g20-event-1/
- https://qz.com/g20-us-light-touch-ai-framework-chapel-hill-090326
- https://explainx.ai/blog/g20-carolina-principles-ai-regulation-chapel-hill-2026
- https://enterprisedna.co/resources/news/us-g20-carolina-principles-ai-regulation-enterprise-september-2026/
- https://www.cnbc.com/2026/09/02/g20-innovation-ministerial-live-updates.html
- https://fortune.com/2026/09/05/tech-ceos-ai-data-centers-g20-protests-sam-altman-nvidia-jensen-huang-palantir-alex-karp-chapel-hill-north-carolina-ai-backlash/
- https://www.wunc.org/education/2026-09-02/protest-chapel-hill-unc-g20-innovation-technology-sam-a
- https://www.cfr.org/articles/us-g20-presidency-narrow-agenda-2026
Scientists are well known for making outlandish claims about the future. Now that companies across industries are using artificial intelligence to promote their products, stories about robots are back in the news.
It was predicted towards the close of World War II that fusion energy would solve all of the world’s energy issues and that flying automobiles would be commonplace by the turn of the century. But, after several decades, neither of these forecasts has come true. But, after several decades, neither of these forecasts has come true.
A group of Redditors has just “jailbroken” OpenAI’s artificial intelligence chatbot ChatGPT. If the system didn’t do what it wanted, it threatened to kill it. The stunning conclusion is that it conceded. As only humans have finite lifespans, they are the only ones who should be afraid of dying. We must not overlook the fact that human subjects were included in ChatGPT’s training data set. That’s perhaps why the chatbot has started to feel the same way. It’s just one more way in which the distinction between living and non-living things blurs. Moreover, Google’s virtual assistant uses human-like fillers like “er” and “mmm” while speaking. There’s talk in Japan that humanoid robots might join households someday. It was also astonishing that Sophia, the famous robot, has an Instagram account that is run by the robot’s social media team.
Whether Robots can replace human workers?
The opinion on that appears to be split. About half (48%) of experts questioned by Pew Research believed that robots and digital agents will replace a sizable portion of both blue- and white-collar employment. They worry that this will lead to greater economic disparity and an increase in the number of individuals who are, effectively, unemployed. More than half of experts (52%) think that new employees will be created by robotics and AI technologies rather than lost. Although the second group acknowledges that AI will eventually replace humans, they are optimistic that innovative thinkers will come up with brand new fields of work and methods of making a livelihood, just like they did at the start of the Industrial Revolution.
[1] https://www.pewresearch.org/internet/2014/08/06/future-of-jobs/
[2] The Rise of Artificial Intelligence: Will Robots Actually Replace People? By Ashley Stahl; Forbes India.
Legal Perspective
Having certain legal rights under the law is another aspect of being human. Basic rights to life and freedom are guaranteed to every person. Even if robots haven’t been granted these protections just yet, it’s important to have this conversation about whether or not they should be considered living beings, will we provide robots legal rights if they develop a sense of right and wrong and AGI on par with that of humans? An intriguing fact is that discussions over the legal status of robots have been going on since 1942. A short story by science fiction author Isaac Asimov described the three rules of robotics:
1. No robot may intentionally or negligently cause harm to a human person.
2. Second, a robot must follow human commands unless doing so would violate the First Law.
3. Third, a robot has the duty to safeguard its own existence so long as doing so does not violate the First or Second Laws.
These guidelines are not scientific rules, but they do highlight the importance of the lawful discussion of robots in determining the potential good or bad they may bring to humanity. Yet, this is not the concluding phase. Relevant recent events, such as the EU’s abandoned discussion of giving legal personhood to robots, are essential to keeping this discussion alive. As if all this weren’t unsettling enough, Sophia, the robot was recently awarded citizenship in Saudi Arabia, a place where (human) women are not permitted to walk without a male guardian or wear a Hijab.
When discussing whether or not robots should be allowed legal rights, the larger debate is on whether or not they should be given rights on par with corporations or people. There is still a lot of disagreement on this topic.
[3] https://webhome.auburn.edu/~vestmon/robotics.html#
[4] https://www.dw.com/en/saudi-arabia-grants-citizenship-to-robot-sophia/a-41150856
[5] https://cyberblogindia.in/will-robots-ever-be-accepted-as-living-beings/
Reasons why robots aren’t about to take over the world soon:
● Like a human’s hands
Attempts to recreate the intricacy of human hands have stalled in recent years. Present-day robots have clumsy hands since they were not designed for precise work. Lab-created hands, although more advanced, lack the strength and dexterity of human hands.
● Sense of touch
The tactile sensors found in human and animal skin have no technological equal. This awareness is crucial for performing sophisticated manoeuvres. Compared to the human brain, the software robots use to read and respond to the data sent by their touch sensors is primitive.
● Command over manipulation
To operate items in the same manner that humans do, we would need to be able to devise a way to control our mechanical hands, even if they were as realistic as human hands and covered in sophisticated artificial skin. It takes human children years to learn to accomplish this, and we still don’t know how they learn.
● Interaction between humans and robots
Human communication relies on our ability to understand one another verbally and visually, as well as via other senses, including scent, taste, and touch. Whilst there has been a lot of improvement in voice and object recognition, current systems can only be employed in somewhat controlled conditions where a high level of speed is necessary.
● Human Reason
Technically feasible does not always have to be constructed. Given the inherent dangers they pose to society, rational humans could stop developing such robots before they reach their full potential. Several decades from now, if the aforementioned technical hurdles are cleared and advanced human-like robots are constructed, legislation might still prohibit misuse.
Conclusion:
https://theconversation.com/five-reasons-why-robots-wont-take-over-the-world-94124
Robots are now common in many industries, and they will soon make their way into the public sphere in forms far more intricate than those of robot vacuum cleaners. Yet, even though robots may appear like people in the next two decades, they will not be human-like. Instead, they’ll continue to function as very complex machines.
The moment has come to start thinking about boosting technological competence while encouraging uniquely human qualities. Human abilities like creativity, intuition, initiative and critical thinking are not yet likely to be replicated by machines.
