Artificial intelligence (AI) is rapidly making a wider and significant transformation for companies in terms of its use at the workstation for different roles. Alongside technical use, the AI is also being highly utilised in several academic and administrative workforces, while solving business problems using human skills along with other tech. In terms of use, the first approach focuses on using it to automate tasks carried out by employees, while the second involves applying AI-driven analytics and algorithms to automate managerial responsibilities, a practice commonly known as "algorithmic management." Automating specific tasks with AI does not automatically result in job losses, as the technology can also enhance human work by supporting employees in areas where certain functions have been automated. Whether the adoption of AI leads to workforce reduction or strengthens human roles depends on several factors, including how essential the automated task is to a particular occupation, the way the technology is incorporated into workplace processes, and whether management chooses to retain employees to perform or supervise certain tasks even when automation is technically feasible.&nbsp;Also read: <a href="https://www.wionews.com/trending/ai-is-changing-hiring-priorities-are-employers-looking-for-different-skills-than-they-did-2-years-ago-1784019436076">AI is changing hiring priorities: Are employers looking for different skills than they did 2 years ago?</a><h3>Safeguards to put before using AI</h3>In terms of legality and safeguards while using AI in the workforce, an expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. Prasad Rai, CEO of DAAS LABS, emphasised that organisations should not rely solely on technology when using AI for functions such as hiring, promotions, performance reviews and workforce planning. Instead, he stressed the need for safeguards to ensure fairness, accountability and transparency. &nbsp; "Before AI is entrusted with workforce decisions, companies need to establish strong governance rather than relying solely on technology. The first safeguard is ensuring that the data used to train AI models is accurate, representative, and regularly audited for bias, because AI will inevitably replicate flaws in historical decisions. Equally important is explainability; every AI-driven recommendation should be transparent, auditable, and easy for leaders to justify. Human oversight must remain central, with AI serving as a decision-support tool rather than the final decision-maker for hiring, promotions, performance reviews, or workforce planning," he said. According to Rai, companies that earn long-term employee trust will not necessarily be those that adopt AI the fastest, but those that implement it responsibly by placing fairness, accountability and transparency at the centre of their AI strategy. "Organisations should also implement regular model reviews, clear accountability frameworks, and transparent communication with employees about how AI is being used. The companies that will build lasting employee trust are not those adopting AI the fastest, but those deploying it responsibly, with fairness, accountability, and transparency at the core," he added.

The expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. He also emphasised that organisations should not rely solely on technology when using AI for functions.

Artificial intelligence (AI) is rapidly making a wider and significant transformation for companies in terms of its use at the workstation for different roles. Alongside technical use, the AI is also being highly utilised in several academic and administrative workforces, while solving business problems using human skills along with other tech. In terms of use, the first approach focuses on using it to automate tasks carried out by employees, while the second involves applying AI-driven analytics and algorithms to automate managerial responsibilities, a practice commonly known as "algorithmic management." Automating specific tasks with AI does not automatically result in job losses, as the technology can also enhance human work by supporting employees in areas where certain functions have been automated. Whether the adoption of AI leads to workforce reduction or strengthens human roles depends on several factors, including how essential the automated task is to a particular occupation, the way the technology is incorporated into workplace processes, and whether management chooses to retain employees to perform or supervise certain tasks even when automation is technically feasible. Also read: AI is changing hiring priorities: Are employers looking for different skills than they did 2 years ago? Safeguards to put before using AI In terms of legality and safeguards while using AI in the workforce, an expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. Prasad Rai, CEO of DAAS LABS, emphasised that organisations should not rely solely on technology when using AI for functions such as hiring, promotions, performance reviews and workforce planning. Instead, he stressed the need for safeguards to ensure fairness, accountability and transparency. "Before AI is entrusted with workforce decisions, companies need to establish strong governance rather than relying solely on technology. The first safeguard is ensuring that the data used to train AI models is accurate, representative, and regularly audited for bias, because AI will inevitably replicate flaws in historical decisions. Equally important is explainability; every AI-driven recommendation should be transparent, auditable, and easy for leaders to justify. Human oversight must remain central, with AI serving as a decision-support tool rather than the final decision-maker for hiring, promotions, performance reviews, or workforce planning," he said. According to Rai, companies that earn long-term employee trust will not necessarily be those that adopt AI the fastest, but those that implement it responsibly by placing fairness, accountability and transparency at the centre of their AI strategy. "Organisations should also implement regular model reviews, clear accountability frameworks, and transparent communication with employees about how AI is being used. The companies that will build lasting employee trust are not those adopting AI the fastest, but those deploying it responsibly, with fairness, accountability, and transparency at the core," he added.

The expert indicated that companies should establish strong governance frameworks before deploying artificial intelligence (AI) for workforce-related decisions. He also emphasised that organisations should not rely solely on technology when using AI for functions.

What safeguards should companies put in place before using AI for workforce decisions?

China is positioning itself at the forefront of the next wave of global drug innovation, and artificial intelligence is emerging as the key lever that could tilt dominance in its favour. After cross-border deals for innovative drugs touched a record $110 billion in the first half of 2026, China's pharmaceutical sector is rapidly pivoting toward AI-driven drug discovery to sustain momentum. The shift signals a deeper transformation, from being a fast follower to becoming a global leader in cutting-edge therapies.Also read | <a href="https://www.wionews.com/trending/how-long-before-sun-destroys-the-earth-scientists-may-have-discovered-the-planet-s-expiry-date-1783760812774">How long before sun destroys the Earth? Scientists may have discovered the planet's 'expiry date'</a> China already accounts for roughly 30 per cent of all new drugs under development worldwide, placing it behind only the US More significantly, deal activity is accelerating. By the end of June, 81 transactions had been completed; that is nearly 80 per cent of last year’s total. It spans high-value therapeutic areas such as oncology, metabolic diseases, immunology and neurology. Global buyers, particularly from the US and Europe, continue to actively partner with Chinese firms.<a href="https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed">https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed</a>The latest collaborations highlight how AI is reshaping the innovation pipeline. Domestic companies are leveraging proprietary platforms to design molecules, simulate patient responses and optimise early-stage testing. Partnerships with global pharmaceutical majors are increasingly structured around milestone-based payouts that could run into billions of dollars. AI is enabling faster and more precise drug development by reducing reliance on traditional trial-and-error methods. Virtual modelling, predictive analytics and data-driven insights are helping companies refine candidates earlier, potentially lowering costs and shortening timelines.Also read | <a href="https://www.wionews.com/trending/built-to-outlive-us-all-earth-is-getting-an-indestructible-black-box-to-record-the-end-of-human-civilisation-1783747790087">Built to outlive us all: Earth is getting an indestructible ‘black box’ to record the end of human civilisation</a> This convergence of technology and biomedicine is strengthening China's position in the global healthcare ecosystem. Its ability to combine large datasets, advanced AI capabilities and a rapidly maturing regulatory framework is creating a powerful engine for innovation. The critical question now is whether this momentum translates into sustained global leadership. Experts say if current trends hold, China may not just participate in the next generation of medical breakthroughs; it could redefine them.

China is using artificial intelligence to discover the next generation of blockbuster medicines. With innovative drug deals hitting a record $110 billion in just six months, Beijing is positioning itself to become a global pharmaceutical powerhouse.

China is positioning itself at the forefront of the next wave of global drug innovation, and artificial intelligence is emerging as the key lever that could tilt dominance in its favour. After cross-border deals for innovative drugs touched a record $110 billion in the first half of 2026, China's pharmaceutical sector is rapidly pivoting toward AI-driven drug discovery to sustain momentum. The shift signals a deeper transformation, from being a fast follower to becoming a global leader in cutting-edge therapies. Also read | How long before sun destroys the Earth? Scientists may have discovered the planet's 'expiry date' China already accounts for roughly 30 per cent of all new drugs under development worldwide, placing it behind only the US More significantly, deal activity is accelerating. By the end of June, 81 transactions had been completed; that is nearly 80 per cent of last year’s total. It spans high-value therapeutic areas such as oncology, metabolic diseases, immunology and neurology. Global buyers, particularly from the US and Europe, continue to actively partner with Chinese firms. https://www.wionews.com/videos/china-turns-to-ai-for-next-drug-breakthroughs-1784005943869/embed The latest collaborations highlight how AI is reshaping the innovation pipeline. Domestic companies are leveraging proprietary platforms to design molecules, simulate patient responses and optimise early-stage testing. Partnerships with global pharmaceutical majors are increasingly structured around milestone-based payouts that could run into billions of dollars. AI is enabling faster and more precise drug development by reducing reliance on traditional trial-and-error methods. Virtual modelling, predictive analytics and data-driven insights are helping companies refine candidates earlier, potentially lowering costs and shortening timelines. Also read | Built to outlive us all: Earth is getting an indestructible ‘black box’ to record the end of human civilisation This convergence of technology and biomedicine is strengthening China's position in the global healthcare ecosystem. Its ability to combine large datasets, advanced AI capabilities and a rapidly maturing regulatory framework is creating a powerful engine for innovation. The critical question now is whether this momentum translates into sustained global leadership. Experts say if current trends hold, China may not just participate in the next generation of medical breakthroughs; it could redefine them.

China is using artificial intelligence to discover the next generation of blockbuster medicines. With innovative drug deals hitting a record $110 billion in just six months, Beijing is positioning itself to become a global pharmaceutical powerhouse.

China's $110-billion AI pharma boom could redefine the future of medicine

China is positioning itself at the forefront of the next wave of global drug innovation, and artificial intelligence is emerging as the key lever that could tilt dominance in its favour.


China turns to AI for next drug breakthroughs

Acclaimed director Christopher Nolan has issued a stark warning to Hollywood regarding the industry's pivot to artificial intelligence, arguing that the technology is hitting the medium at "exactly the wrong time". 

Christopher Nolan issues warning over Hollywood's pivot to AI 

The White House is preparing to expand its "Ratepayer Protection Pledge" through a new initiative designed to shield households from rising electricity costs driven by AI data centers. While the original March 2026 pledge focused on major tech firms like Amazon, Google, and Microsoft, this upcoming effort will broaden participation to include electric utilities, data center developers, and state governors.


White House plans voluntary AI energy pledge

The artificial intelligence boom is creating a new challenge for the global technology industry, a shortage of memory chips.

SK Hynix warns of worst-ever memory shortage in 2027 |

India's Defence Minister Rajnath Singh on Saturday (July 11) said that artificial intelligence may play a big role in future wars but they will still be won by national resolve, trained personnel and strong military capabilities.&nbsp;“Future wars may be fought with Artificial Intelligence, but they will still be won by national resolve, trained soldiers and capable military power,” said Singh.&nbsp;<h2>So, how is artificial intelligence changing the way modern wars are fought?</h2>&nbsp;Artificial intelligence is fundamentally changing the character of modern conflict by shifting the focus from mere firepower to the power of rapid information processing and decision-making. It is helping militaries across the world to analyse enormous amounts of satellite imagery, drone footage, intercepted communications much faster than humans.&nbsp;AI can evaluate battlefield information and suggest possible courses of action. It is used to detect network intrusions, identify malware, and respond to cyberattacks more rapidly among several other things.&nbsp;AI also comes in very handy for logistics and maintenance purposes as it predicts when vehicles or aircraft need maintenance and optimizes supply routes, fuel usage, and inventory management, helping militaries sustain operations more efficiently.&nbsp;<h2>Which countries are leading in drone and autonomous weapons technology?</h2>&nbsp;United States, China, Israel, Turkey and Russia are some of the countries using AI extensively.&nbsp;Advanced AI, long-range drones, autonomous systems research, naval and air autonomy are the areas where US has been using AI, while for China it is large-scale drone production, AI integration, affordable exports and drone swarms.&nbsp;Combat-proven UAVs, loitering munitions and surveillance technology are the fields where Israel has been using AI extensively.&nbsp;<h2>What lessons has India learned from recent global conflicts to plan for the future?</h2>&nbsp;India has been closely studying the Ukraine and Middle East conflicts to shape its approach to AI and military modernisation.&nbsp;One of the vital lessons that has been picked up from these wars is the use of inexpensive drones that can have a huge impact on the battlefield.&nbsp;India has therefore, increased its focus on surveillance drones for border monitoring, armed and loitering munitions, long-endurance UAVs for maritime and high-altitude operations and small tactical drones for infantry units.&nbsp;<h2>How prepared is India to deal with cyber and space based warfare?</h2>&nbsp;India has a large pool of cybersecurity professionals, strong IT industry and expanding cyber defense capabilities. It has increased its capabilities in AI for threat detection and network monitoring.&nbsp;India is focused on securing sectors such as power grids, banking and finance, telecommunications, transportation and government networks.&nbsp;India's developed substantial space capabilities support both civilian and national security needs.

India has been closely monitoring the Ukraine and Middle East conflicts to shape its approach to Artificial Intelligence and military modernisation.

India's Defence Minister Rajnath Singh on Saturday (July 11) said that artificial intelligence may play a big role in future wars but they will still be won by national resolve, trained personnel and strong military capabilities. “Future wars may be fought with Artificial Intelligence, but they will still be won by national resolve, trained soldiers and capable military power,” said Singh. So, how is artificial intelligence changing the way modern wars are fought? Artificial intelligence is fundamentally changing the character of modern conflict by shifting the focus from mere firepower to the power of rapid information processing and decision-making. It is helping militaries across the world to analyse enormous amounts of satellite imagery, drone footage, intercepted communications much faster than humans. AI can evaluate battlefield information and suggest possible courses of action. It is used to detect network intrusions, identify malware, and respond to cyberattacks more rapidly among several other things. AI also comes in very handy for logistics and maintenance purposes as it predicts when vehicles or aircraft need maintenance and optimizes supply routes, fuel usage, and inventory management, helping militaries sustain operations more efficiently. Which countries are leading in drone and autonomous weapons technology? United States, China, Israel, Turkey and Russia are some of the countries using AI extensively. Advanced AI, long-range drones, autonomous systems research, naval and air autonomy are the areas where US has been using AI, while for China it is large-scale drone production, AI integration, affordable exports and drone swarms. Combat-proven UAVs, loitering munitions and surveillance technology are the fields where Israel has been using AI extensively. What lessons has India learned from recent global conflicts to plan for the future? India has been closely studying the Ukraine and Middle East conflicts to shape its approach to AI and military modernisation. One of the vital lessons that has been picked up from these wars is the use of inexpensive drones that can have a huge impact on the battlefield. India has therefore, increased its focus on surveillance drones for border monitoring, armed and loitering munitions, long-endurance UAVs for maritime and high-altitude operations and small tactical drones for infantry units. How prepared is India to deal with cyber and space based warfare? India has a large pool of cybersecurity professionals, strong IT industry and expanding cyber defense capabilities. It has increased its capabilities in AI for threat detection and network monitoring. India is focused on securing sectors such as power grids, banking and finance, telecommunications, transportation and government networks. India's developed substantial space capabilities support both civilian and national security needs.

India has been closely monitoring the Ukraine and Middle East conflicts to shape its approach to Artificial Intelligence and military modernisation.

How AI is transforming modern warfare, what lessons has India learnt from recent global conflicts?

AI is increasingly becoming a defining force in the future technology including public healthcare, with countries at the global level competing to integrate it into national health systems of the respective nations. While the Unites States, China, Singapore and the United Kingdom have taken an early lead by investing in AI-enabled healthcare to make it more accessible, particularly for underserved populations, while bolstering digital health systems that improve prevention, diagnosis and treatment. Debjit Patra, Founder and Chairman of MediElaj, stated that the success of AI in public health should be measured by its ability to bridge healthcare inequalities rather than by technological sophistication alone. "The global race to deploy AI in public health isn't just a race for technology. It is a race for equity. The real winners aren't the nations with the most complex, isolated algorithms. They are the ones using AI to dismantle healthcare's oldest barrier, geography. As I have always believed, technology alone cannot drive the adoption of healthcare; trust and behaviour are the actual drivers. That is why the future belongs to nations embedding digital intelligence directly into grassroots, physical public health infrastructure. Look at India’s journey as a prime example. By treating digital connectivity as vital clinical infrastructure, the country is executing a massive behavioural shift. Through large-scale teleconsultation frameworks and digital health missions, AI-driven diagnostics and multi-modal data analytics are moving past the pilot phase," Patra said. He emphasised that the real way to determine success for healthcare AI must be effective care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder, rather than the sophistication of the technology. "Instead of waiting for episodic, reactive interventions, we are finally enabling continuous, proactive health monitoring for populations long left invisible by traditional systems. The true measure of success for healthcare AI shouldn't be the sophistication of the technology itself. It must be how effectively it makes care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder. Nations that design their AI strategies around a blend of digital intelligence and physical presence for the patient with the least access, not the most, are the ones setting the true global standard," Patra added.&nbsp;Also read: <a href="https://www.wionews.com/trending/can-ai-make-scientific-breakthroughs-faster-researchers-weigh-in-1783757929693">Can AI make scientific breakthroughs faster? Researchers weigh in</a><h3>AI's role in strong digital foundations</h3>Reacting to the same topic, Alok Katiyar, Co-Founder of WeClinic Homoeopathy, said countries leading AI adoption in healthcare have built strong digital foundations that allow the technology to be integrated into routine clinical practice. "The leading nations in deploying AI in public health today are the United States, China, Singapore, and the United Kingdom. What sets them apart is not only their investment in AI but also their ability to integrate it into healthcare systems through digitised patient records, connected digital infrastructure, and large patient datasets. India is one of the most interesting countries to watch in this global race. Initiatives such as the Ayushman Bharat Digital Mission, combined with the world's largest population, make it a compelling case study for the deployment of AI in public health," Alok Katiyar said. "For instance, homoeopathy has always relied on detailed case histories, long-term follow-ups, and understanding patterns across a patient's health journey. As clinics become increasingly digitised, AI can help analyse large volumes of patient data, identify trends, and support better clinical decision-making. The countries that will lead this race will be those that use AI to make healthcare more accessible, more informed, and more human," he added.&nbsp;&nbsp;

The experts said the real way to determine success for healthcare AI must be effective care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder, rather than the sophistication of the technology.

AI is increasingly becoming a defining force in the future technology including public healthcare, with countries at the global level competing to integrate it into national health systems of the respective nations. While the Unites States, China, Singapore and the United Kingdom have taken an early lead by investing in AI-enabled healthcare to make it more accessible, particularly for underserved populations, while bolstering digital health systems that improve prevention, diagnosis and treatment. Debjit Patra, Founder and Chairman of MediElaj, stated that the success of AI in public health should be measured by its ability to bridge healthcare inequalities rather than by technological sophistication alone. "The global race to deploy AI in public health isn't just a race for technology. It is a race for equity. The real winners aren't the nations with the most complex, isolated algorithms. They are the ones using AI to dismantle healthcare's oldest barrier, geography. As I have always believed, technology alone cannot drive the adoption of healthcare; trust and behaviour are the actual drivers. That is why the future belongs to nations embedding digital intelligence directly into grassroots, physical public health infrastructure. Look at India’s journey as a prime example. By treating digital connectivity as vital clinical infrastructure, the country is executing a massive behavioural shift. Through large-scale teleconsultation frameworks and digital health missions, AI-driven diagnostics and multi-modal data analytics are moving past the pilot phase," Patra said. He emphasised that the real way to determine success for healthcare AI must be effective care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder, rather than the sophistication of the technology. "Instead of waiting for episodic, reactive interventions, we are finally enabling continuous, proactive health monitoring for populations long left invisible by traditional systems. The true measure of success for healthcare AI shouldn't be the sophistication of the technology itself. It must be how effectively it makes care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder. Nations that design their AI strategies around a blend of digital intelligence and physical presence for the patient with the least access, not the most, are the ones setting the true global standard," Patra added. Also read: Can AI make scientific breakthroughs faster? Researchers weigh in AI's role in strong digital foundations Reacting to the same topic, Alok Katiyar, Co-Founder of WeClinic Homoeopathy, said countries leading AI adoption in healthcare have built strong digital foundations that allow the technology to be integrated into routine clinical practice. "The leading nations in deploying AI in public health today are the United States, China, Singapore, and the United Kingdom. What sets them apart is not only their investment in AI but also their ability to integrate it into healthcare systems through digitised patient records, connected digital infrastructure, and large patient datasets. India is one of the most interesting countries to watch in this global race. Initiatives such as the Ayushman Bharat Digital Mission, combined with the world's largest population, make it a compelling case study for the deployment of AI in public health," Alok Katiyar said. "For instance, homoeopathy has always relied on detailed case histories, long-term follow-ups, and understanding patterns across a patient's health journey. As clinics become increasingly digitised, AI can help analyse large volumes of patient data, identify trends, and support better clinical decision-making. The countries that will lead this race will be those that use AI to make healthcare more accessible, more informed, and more human," he added.

The experts said the real way to determine success for healthcare AI must be effective care predictive, proactive, and precise for the patient at the very bottom of the socioeconomic ladder, rather than the sophistication of the technology.

New healthcare divide: Which countries are winning race to deploy AI in public health? Experts weigh in

Researchers at Stanford University found that AI is also transforming scientific discovery by helping scientists to analyse complex data, generate hypotheses and formulate experiments faster than old methods. AI is entering multiple sectors, including biology, medicine, engineering, and astrophysics, to overcome limitations connected to time, resources, and data complexity. AI is also playing an increasingly significant role in biology and medicine by helping researchers analyse genetic data, identify biological patterns and develop advanced models for studying disease. According to Stanford researchers, AI-powered virtual cell models could significantly accelerate drug discovery and pave the way for more personalised healthcare.&nbsp;Also read: <a href="https://www.wionews.com/trending/japanese-researchers-found-invisible-gold-in-massive-quantities-hiding-beneath-seafloor-1783752058979">Japanese researchers find invisible gold in massive quantities hiding beneath seafloor</a><h3>Integration of AI agents</h3>AI agents are also becoming an integral part of scientific research, helping with tasks such as reviewing academic literature, designing experiments and interpreting data. However, researchers emphasise that human expertise remains indispensable, as AI-generated findings and hypotheses must still be scientifically validated and assessed for real-world applicability. From uncovering the complexities of genetic systems to exploring the structure of the universe, AI is allowing scientists to investigate questions that were previously difficult to address. Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems. Rather than serving only as a productivity tool, AI is evolving into a fundamental component of scientific research. By analysing massive datasets, generating new hypotheses and simulating complex systems, it has the potential to accelerate discoveries across medicine, engineering, climate science and astrophysics. The findings reinforce that no matter how AI advances and enters several fields, scientific progress will continue to rely completely on human expertise. AI can speed up the process of analysis and experimentation; however, rigorous validation, ethical oversight and critical judgement will always remain vital to ensuring research results are reliable and reproducible. &nbsp;

Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems.

Researchers at Stanford University found that AI is also transforming scientific discovery by helping scientists to analyse complex data, generate hypotheses and formulate experiments faster than old methods. AI is entering multiple sectors, including biology, medicine, engineering, and astrophysics, to overcome limitations connected to time, resources, and data complexity. AI is also playing an increasingly significant role in biology and medicine by helping researchers analyse genetic data, identify biological patterns and develop advanced models for studying disease. According to Stanford researchers, AI-powered virtual cell models could significantly accelerate drug discovery and pave the way for more personalised healthcare. Also read: Japanese researchers find invisible gold in massive quantities hiding beneath seafloor Integration of AI agents AI agents are also becoming an integral part of scientific research, helping with tasks such as reviewing academic literature, designing experiments and interpreting data. However, researchers emphasise that human expertise remains indispensable, as AI-generated findings and hypotheses must still be scientifically validated and assessed for real-world applicability. From uncovering the complexities of genetic systems to exploring the structure of the universe, AI is allowing scientists to investigate questions that were previously difficult to address. Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems. Rather than serving only as a productivity tool, AI is evolving into a fundamental component of scientific research. By analysing massive datasets, generating new hypotheses and simulating complex systems, it has the potential to accelerate discoveries across medicine, engineering, climate science and astrophysics. The findings reinforce that no matter how AI advances and enters several fields, scientific progress will continue to rely completely on human expertise. AI can speed up the process of analysis and experimentation; however, rigorous validation, ethical oversight and critical judgement will always remain vital to ensuring research results are reliable and reproducible.

Stanford researchers believe future scientific breakthroughs will rely on combining AI's computational power with human knowledge to solve increasingly complex problems.

Can AI make scientific breakthroughs faster? Researchers weigh in

A Brown University professor was surprised by the excellent scores on a midterm exam that he allowed students to take from home. He suspected that the students had cheated using AI tools, such as ChatGPT. He informed them that the final exam would happen in person. His fears were proven correct when only two out of 86 students scored a grade that was within 10% of their midterm score. Three of them even got zeroes. Roberto Serrano teaches Welfare Economics and Social Choice Theory (Econ 1170). He told Higher Ed that historically, the average grade in the midterm of this course has ranged between 65 and 80 per cent.&nbsp;&nbsp;"This exam was harder than the exams I wrote in the past, because … take-home is an opportunity to challenge the class a little bit more, given that you’re giving the students unlimited time,” Serrano said. But this time, his class scored an average of 96%.&nbsp;There had been a shooting on university grounds in December, which had left the students anxious. So Serrano decided to let them take the midterm exams from their home. This is when the trouble started, he said. When other students heard about it, they rushed to enrol for his paper, with a total of 86 joining him for the semester, way more than the usual 30.&nbsp;The huge difference in the grades, that touched an average of 96% compared to about 80%, triggered suspicion. Serrano said the answers were “kind of correct, but very off, and with a very convoluted style.” They were technically correct, but the professor suspected they had cheated using AI, as he received similar results when he fed the questions to the tool.&nbsp;He emailed the students about it and announced that the finals will happen in the classroom, and only if the scores are somewhere near the midterms will they be considered towards the final grade. This caught the students by surprise, after which 18 of them dropped the class and nine of them skipped the final exam. Of the 59 remaining students, three scored zero, and only two students had a score that was within 10% of their midterm score. Only one performed better in the finals.&nbsp;Serrano has expressed shock at the state of affairs, and is worried about the future, saying that "we cannot have a society in which a significant fraction of our best young minds think that cheating is OK."&nbsp; &nbsp;

A major AI cheating scandal has come to light at Brown University. In a midterm exam which students took from home, the scores were better than average. The professor got suspicious because of the tone of the answers. The final exam exposed the truth.

A Brown University professor was surprised by the excellent scores on a midterm exam that he allowed students to take from home. He suspected that the students had cheated using AI tools, such as ChatGPT. He informed them that the final exam would happen in person. His fears were proven correct when only two out of 86 students scored a grade that was within 10% of their midterm score. Three of them even got zeroes. Roberto Serrano teaches Welfare Economics and Social Choice Theory (Econ 1170). He told Higher Ed that historically, the average grade in the midterm of this course has ranged between 65 and 80 per cent. "This exam was harder than the exams I wrote in the past, because … take-home is an opportunity to challenge the class a little bit more, given that you’re giving the students unlimited time,” Serrano said. But this time, his class scored an average of 96%. There had been a shooting on university grounds in December, which had left the students anxious. So Serrano decided to let them take the midterm exams from their home. This is when the trouble started, he said. When other students heard about it, they rushed to enrol for his paper, with a total of 86 joining him for the semester, way more than the usual 30. The huge difference in the grades, that touched an average of 96% compared to about 80%, triggered suspicion. Serrano said the answers were “kind of correct, but very off, and with a very convoluted style.” They were technically correct, but the professor suspected they had cheated using AI, as he received similar results when he fed the questions to the tool. He emailed the students about it and announced that the finals will happen in the classroom, and only if the scores are somewhere near the midterms will they be considered towards the final grade. This caught the students by surprise, after which 18 of them dropped the class and nine of them skipped the final exam. Of the 59 remaining students, three scored zero, and only two students had a score that was within 10% of their midterm score. Only one performed better in the finals. Serrano has expressed shock at the state of affairs, and is worried about the future, saying that "we cannot have a society in which a significant fraction of our best young minds think that cheating is OK."

A major AI cheating scandal has come to light at Brown University. In a midterm exam which students took from home, the scores were better than average. The professor got suspicious because of the tone of the answers. The final exam exposed the truth.

From 96% to 3 zeros: Professor suspected AI cheating in remote exam. What he did next exposed 57 of 59 students

The online dating landscape has undergone a major transformation in 2026, with Tinder, Bumble, and Grindr aggressively integrating artificial intelligence to combat "swipe fatigue" and improve safety. Rather than serving as mere add-ons, AI is now the "intelligence layer" powering matching, security, and conversation.


Tinder, Bumble, Grindr and Meta expand AI dating features 

A man who claims to be a time traveller from the year 3700 has warned of a robot uprising in the future. Mike, with a blurred face and distorted voice, says in a video that robots will replace humans in almost every role by the year 3,000, and the machines will turn against the people who made them centuries later. Mike says that once the robots who had artificial intelligence "understood their power, they understood their dominance above humans and rose above them. They were slaves but became the leaders." He even gives the exact date the robots turned rogue.&nbsp;He claims that this happened on September 20, 3700. In a chilling warning, he even said the robots killed "more than 30 per cent of humanity." Robots across the world joined hands and coordinated their strikes through the internet. Humans could have gone extinct in this attack if they had found the nuclear launch codes, he says.&nbsp;&nbsp;He even claims to have killed a robot and stolen its mechanical arm, which he shows off in the video. He says that even though it looks small, the arm can "divide you into a hundred pieces." The 11-minute, 42-second video was posted on the YouTube Channel ApexTV.<h2>Secret time travel operation</h2>Mike says that he was part of a group of people who could time travel to any year. He says that he was involved in many secret operations, including one that had a time machine. Describing the "dramatic transformation during the fourth millennium", he says robots had taken over almost every aspect of human life by 3,000. Solar energy powered everything. Robots walked around looking like humans, while the real ones focused entirely on creative pursuits.Also Read: <a href="https://www.wionews.com/trending/time-traveller-from-2118-makes-bizarre-claim-says-commercial-time-travel-will-be-available-soon-1782971867097">'Time traveller from 2118' makes bizarre claim, says commercial time travel will be available soon</a><h2>Robots turned into killing machines</h2>The world population had dwindled to only about 3 billion people, while four million robots existed in this world. "They were walking in cafes, restaurants, hotels and shops," he says. There are two types of them - one for ordinary citizens (Fox units), and the stronger, more heavily armed robots for military use. "They are like killing machines," Mike says. The 'Fox' units performed hard labour and did not have the appearance of humans. They could be mass-produced in a short amount of time.Also Read: <a href="https://www.wionews.com/trending/rumours-swirl-scientist-sucked-into-another-dimension-after-failed-experiment-1783321022924">Sucked into another dimension? Rumours swirl physicist vanished while working on science of ‘being in two places at once’</a><h2>Robots wanted to create a world free of humans</h2>The time traveller claims that the robots were intent on destroying the human race. He said he was one of the many humans who were part of special forces that fought against the robots in dangerous missions. The groups knew that he and a few others had travelled from the past and understood their purpose. They shared a single goal - preventing an apocalyptic war between humanity and artificial intelligence. However, the robots had access to advanced tech while humans only had laser weapons. The robots tracked down humans using signals transmitted from space.&nbsp;Mike says humans hid in forests and captured a robot that had "blood flowing through its cable veins". It behaved like humans, "was scared, didn't want to die and knew what death was and was in depression." The robots wanted to build "a new empire" free of all life on Earth. Mike claims that during his 18 expeditions to the year 3700, he repeatedly warned officials about the officials, but they ignored him. Now he lives somewhere in Asia and fears for his life, he claimed.

A man who claims to have travelled to the future has warned of an apocalyptic war between humans and robots in the year 3700. He says the killing machines want to create a world free of humans. The man also says he fought in secret operations against the robots.

A man who claims to be a time traveller from the year 3700 has warned of a robot uprising in the future. Mike, with a blurred face and distorted voice, says in a video that robots will replace humans in almost every role by the year 3,000, and the machines will turn against the people who made them centuries later. Mike says that once the robots who had artificial intelligence "understood their power, they understood their dominance above humans and rose above them. They were slaves but became the leaders." He even gives the exact date the robots turned rogue. He claims that this happened on September 20, 3700. In a chilling warning, he even said the robots killed "more than 30 per cent of humanity." Robots across the world joined hands and coordinated their strikes through the internet. Humans could have gone extinct in this attack if they had found the nuclear launch codes, he says. He even claims to have killed a robot and stolen its mechanical arm, which he shows off in the video. He says that even though it looks small, the arm can "divide you into a hundred pieces." The 11-minute, 42-second video was posted on the YouTube Channel ApexTV. Secret time travel operation Mike says that he was part of a group of people who could time travel to any year. He says that he was involved in many secret operations, including one that had a time machine. Describing the "dramatic transformation during the fourth millennium", he says robots had taken over almost every aspect of human life by 3,000. Solar energy powered everything. Robots walked around looking like humans, while the real ones focused entirely on creative pursuits. Also Read: 'Time traveller from 2118' makes bizarre claim, says commercial time travel will be available soon Robots turned into killing machines The world population had dwindled to only about 3 billion people, while four million robots existed in this world. "They were walking in cafes, restaurants, hotels and shops," he says. There are two types of them - one for ordinary citizens (Fox units), and the stronger, more heavily armed robots for military use. "They are like killing machines," Mike says. The 'Fox' units performed hard labour and did not have the appearance of humans. They could be mass-produced in a short amount of time. Also Read: Sucked into another dimension? Rumours swirl physicist vanished while working on science of ‘being in two places at once’ Robots wanted to create a world free of humans The time traveller claims that the robots were intent on destroying the human race. He said he was one of the many humans who were part of special forces that fought against the robots in dangerous missions. The groups knew that he and a few others had travelled from the past and understood their purpose. They shared a single goal - preventing an apocalyptic war between humanity and artificial intelligence. However, the robots had access to advanced tech while humans only had laser weapons. The robots tracked down humans using signals transmitted from space. Mike says humans hid in forests and captured a robot that had "blood flowing through its cable veins". It behaved like humans, "was scared, didn't want to die and knew what death was and was in depression." The robots wanted to build "a new empire" free of all life on Earth. Mike claims that during his 18 expeditions to the year 3700, he repeatedly warned officials about the officials, but they ignored him. Now he lives somewhere in Asia and fears for his life, he claimed.

A man who claims to have travelled to the future has warned of an apocalyptic war between humans and robots in the year 3700. He says the killing machines want to create a world free of humans. The man also says he fought in secret operations against the robots.

Man claims he travelled to year 3700. Robots had killed 30% of humans. Here is what else he says he saw

Meta launched its first in-house AI image generation model — called Muse Image — on July 7, 2026. The announcement was framed as a creative milestone for Meta's Superintelligence Labs. What the press release did not lead with is the detail that matters most to ordinary users: if your Instagram account is public, anyone on the internet can now type your @username into an AI prompt and generate a new image of your face. You will not be asked. You will not be told. It happens by default, invisibly, and without your knowledge.&nbsp;How The Feature Actually Works&nbsp;Muse Image is integrated directly into Meta AI, Instagram, and WhatsApp. The mechanism is straightforward and alarming: a user types a prompt into the AI image generator and includes an @mention of any public Instagram account. Meta's system automatically retrieves photos from that profile and uses them as visual references to generate a new AI image that incorporates that person's likeness. The owner of the account being used receives no notification. There is no approval step. No consent is requested. The image is generated, and the subject of it — whose face has just been used by a stranger — has no way of knowing.&nbsp;You Are Opted In By Default&nbsp;Meta's own help centre confirms the default state explicitly: ‘If your account is public and on default settings, people may be able to create content with your Instagram content using AI features at Meta.’ The company did not send push notifications to users explaining this change. It did not require users to actively agree to having their likeness used for AI generation. It activated the feature for all public accounts and put the burden of opting out on individuals who discover it themselves, which is exactly how Meta has handled every controversial privacy change in its history.&nbsp;&nbsp;Meta in a statement to WION said, "You have control over how your content can be tagged for AI creation with an easy setting to turn this feature off at any time." The company added: "We've updated the Settings on Instagram to clarify that when you allow others to reuse your public content in features like remix, that also lets people create with your Instagram content using AI products at Meta. You can opt out by toggling this reuse setting off." Meta's help page with full opt-out instructions is available at help.instagram.com.&nbsp;You Will Not Be Notified When It Happens&nbsp;Perhaps the most disturbing detail is buried in Meta's own support documentation: ‘You will not be notified about content created using AI features at Meta.’ This means someone could be generating AI images of your face right now. They could be generating dozens of them. They could be sharing them. You would have no way of knowing unless the images surfaced somewhere you happened to see them. There is no log, no alert, no record sent to the account whose likeness was used. The subject of the AI generation is the last person to know.&nbsp;What Kind Of Images Can Be Created?&nbsp;Meta describes Muse Image as capable of following instructions faithfully while drawing from multiple visual references. That description leaves the use cases almost entirely open. A user could generate a realistic-looking image of a colleague, a classmate, an ex-partner, a public figure, or a stranger — using nothing more than their public Instagram photos and a text prompt. The technology is not restricted to benign creative uses. The only constraints are Meta's content policies, which are enforced after generation, not before — and which have historically been inconsistent at scale.&nbsp;How To Opt Out — Do It Now&nbsp;The opt-out process is buried inside Instagram's settings. Open Instagram and go to your profile. Tap the three horizontal lines in the top-right corner to open the menu. Scroll down and tap Settings. Find the section labelled Sharing and Reuse. Under the heading ‘Allow people to use your content on Instagram and with AI features on Meta’, toggle off both Posts and Reels. This disables future AI generation using your photos. There is one critical caveat: opting out does not delete images that have already been created using your likeness. If someone generated AI images of you before you found this setting, those images are not removed.&nbsp;The Privacy Calculation Meta Made&nbsp;Meta's decision to default all public accounts into this feature rather than asking for opt-in consent is not an oversight. It is a deliberate product and policy choice. Opt-in consent would produce a much smaller pool of available likeness data. Opt-out defaults produce the maximum possible dataset. The company is aware of the reputational risk — it is currently facing $1.4 trillion in penalties in a separate teen mental health case — and proceeded anyway. For users with public Instagram accounts, the message from Meta is simple: your face is a creative resource for anyone who wants to use it, unless you specifically go into a sub-menu and turn it off yourself.&nbsp;What This Means For Everyone With A Public Account&nbsp;The people most immediately at risk from this feature are not celebrities. Celebrities have teams, legal resources, and public platforms to push back. The people most at risk are ordinary users — young adults, students, professionals — who posted publicly on Instagram because that is what the platform encouraged, without understanding that their photos would one day become training data and generation references for an AI system that strangers can access freely. If your account is public, check that setting today. Meta is not going to check it for you.

Meta's Muse Image lets anyone @-mention your public Instagram to generate AI images of your face. You're opted in by default. No notification is sent. Here's how to turn it off immediately.

Meta launched its first in-house AI image generation model — called Muse Image — on July 7, 2026. The announcement was framed as a creative milestone for Meta's Superintelligence Labs. What the press release did not lead with is the detail that matters most to ordinary users: if your Instagram account is public, anyone on the internet can now type your @username into an AI prompt and generate a new image of your face. You will not be asked. You will not be told. It happens by default, invisibly, and without your knowledge. How The Feature Actually Works Muse Image is integrated directly into Meta AI, Instagram, and WhatsApp. The mechanism is straightforward and alarming: a user types a prompt into the AI image generator and includes an @mention of any public Instagram account. Meta's system automatically retrieves photos from that profile and uses them as visual references to generate a new AI image that incorporates that person's likeness. The owner of the account being used receives no notification. There is no approval step. No consent is requested. The image is generated, and the subject of it — whose face has just been used by a stranger — has no way of knowing. You Are Opted In By Default Meta's own help centre confirms the default state explicitly: ‘If your account is public and on default settings, people may be able to create content with your Instagram content using AI features at Meta.’ The company did not send push notifications to users explaining this change. It did not require users to actively agree to having their likeness used for AI generation. It activated the feature for all public accounts and put the burden of opting out on individuals who discover it themselves, which is exactly how Meta has handled every controversial privacy change in its history. Meta in a statement to WION said, "You have control over how your content can be tagged for AI creation with an easy setting to turn this feature off at any time." The company added: "We've updated the Settings on Instagram to clarify that when you allow others to reuse your public content in features like remix, that also lets people create with your Instagram content using AI products at Meta. You can opt out by toggling this reuse setting off." Meta's help page with full opt-out instructions is available at help.instagram.com. You Will Not Be Notified When It Happens Perhaps the most disturbing detail is buried in Meta's own support documentation: ‘You will not be notified about content created using AI features at Meta.’ This means someone could be generating AI images of your face right now. They could be generating dozens of them. They could be sharing them. You would have no way of knowing unless the images surfaced somewhere you happened to see them. There is no log, no alert, no record sent to the account whose likeness was used. The subject of the AI generation is the last person to know. What Kind Of Images Can Be Created? Meta describes Muse Image as capable of following instructions faithfully while drawing from multiple visual references. That description leaves the use cases almost entirely open. A user could generate a realistic-looking image of a colleague, a classmate, an ex-partner, a public figure, or a stranger — using nothing more than their public Instagram photos and a text prompt. The technology is not restricted to benign creative uses. The only constraints are Meta's content policies, which are enforced after generation, not before — and which have historically been inconsistent at scale. How To Opt Out — Do It Now The opt-out process is buried inside Instagram's settings. Open Instagram and go to your profile. Tap the three horizontal lines in the top-right corner to open the menu. Scroll down and tap Settings. Find the section labelled Sharing and Reuse. Under the heading ‘Allow people to use your content on Instagram and with AI features on Meta’, toggle off both Posts and Reels. This disables future AI generation using your photos. There is one critical caveat: opting out does not delete images that have already been created using your likeness. If someone generated AI images of you before you found this setting, those images are not removed. The Privacy Calculation Meta Made Meta's decision to default all public accounts into this feature rather than asking for opt-in consent is not an oversight. It is a deliberate product and policy choice. Opt-in consent would produce a much smaller pool of available likeness data. Opt-out defaults produce the maximum possible dataset. The company is aware of the reputational risk — it is currently facing $1.4 trillion in penalties in a separate teen mental health case — and proceeded anyway. For users with public Instagram accounts, the message from Meta is simple: your face is a creative resource for anyone who wants to use it, unless you specifically go into a sub-menu and turn it off yourself. What This Means For Everyone With A Public Account The people most immediately at risk from this feature are not celebrities. Celebrities have teams, legal resources, and public platforms to push back. The people most at risk are ordinary users — young adults, students, professionals — who posted publicly on Instagram because that is what the platform encouraged, without understanding that their photos would one day become training data and generation references for an AI system that strangers can access freely. If your account is public, check that setting today. Meta is not going to check it for you.

Meta launched a new AI image model called Muse Image on July 7, 2026. If your Instagram account is public, strangers can now @-mention your profile in an AI prompt and Meta will pull your photos to generate new images of your face — without your consent, without notifying you, and without any way for you to know it happened. You are opted in by default. Here is what the feature does, why it is dangerous, and exactly how to turn it off.

Instagram will now let anyone generate deepfake of your face, unless you opt out right now

Star Indian cricketer Abhishek Sharma has approached the Delhi High Court seeking protection of his personality rights. He has requested the court to stop the unauthorized use of his name, images and identity on online platforms, including through AI-generated content. The case was heard by Justice Jyoti Singh, who reviewed several web links that Abhishek claimed were violating his personality rights. During the hearing, the Court also discussed how personality rights and defamation often overlap in cases involving online content.&nbsp;Justice Singh said the Court could not issue an order without properly checking the evidence. She pointed out that the screenshots submitted by Abhishek did not match the details listed in the case documents.&nbsp;“There is a real mess up here. You file an affidavit with a screenshot matching your table. The screenshot is way different from what you are showing. I can’t pass an order like this," the judge told Abhishek’s lawyer.&nbsp;The Court asked Abhishek to submit another affidavit with screenshots that correctly match the links and details mentioned in the case papers.&nbsp;&nbsp;“I am not saying I am not inclined to, but I can’t pass an order this way," the judge added.&nbsp;In his petition, Abhishek has requested the removal of content that he says violates his personality rights, including AI-generated posts shared on social media.&nbsp;Also Read - <a href="https://www.wionews.com/sports/ms-dhoni-s-birthday-fifa-joins-thala-for-a-reason-trend-with-golden-boot-post-1783424126948">MS Dhoni’s birthday: FIFA joins ‘Thala for a Reason’ trend with Golden Boot post</a>&nbsp;During the hearing, advocate Varun Pathak, representing Meta Platforms, told the Court that two of the eight web links listed by Abhishek were no longer accessible. He also argued that one of the remaining links contained a post from a paparazzi account and might not amount to a violation of personality rights.&nbsp;Also Read - <a href="https://www.wionews.com/sports/fifa-wc-2026-argentina-vs-egypt-r16-when-and-where-to-watch-live-streaming-in-india-1783419997662">FIFA WC 2026, Argentina vs Egypt R16: Where to watch live streaming in India?</a>&nbsp;However, Abhishek’s lawyer disagreed, saying the content was created using artificial intelligence. He argued that one post falsely described Abhishek’s manager as his girlfriend and used an AI-generated image to create a misleading impression.&nbsp;“What is it indicating? Is that he is crying over the shoulders of another and it is an AI-generated image. It isn’t a paparazzi issue. He is clicked with the manager and then given a different colour to it using artificial intelligence," the lawyer said.

Cricketer Abhishek Sharma has approached the Delhi High Court seeking protection of his personality rights. His plea raises concerns over the unauthorized use of AI-generated content and defamatory material using his identity.

Star Indian cricketer Abhishek Sharma has approached the Delhi High Court seeking protection of his personality rights. He has requested the court to stop the unauthorized use of his name, images and identity on online platforms, including through AI-generated content. The case was heard by Justice Jyoti Singh, who reviewed several web links that Abhishek claimed were violating his personality rights. During the hearing, the Court also discussed how personality rights and defamation often overlap in cases involving online content. Justice Singh said the Court could not issue an order without properly checking the evidence. She pointed out that the screenshots submitted by Abhishek did not match the details listed in the case documents. “There is a real mess up here. You file an affidavit with a screenshot matching your table. The screenshot is way different from what you are showing. I can’t pass an order like this," the judge told Abhishek’s lawyer. The Court asked Abhishek to submit another affidavit with screenshots that correctly match the links and details mentioned in the case papers. “I am not saying I am not inclined to, but I can’t pass an order this way," the judge added. In his petition, Abhishek has requested the removal of content that he says violates his personality rights, including AI-generated posts shared on social media. Also Read - MS Dhoni’s birthday: FIFA joins ‘Thala for a Reason’ trend with Golden Boot post During the hearing, advocate Varun Pathak, representing Meta Platforms, told the Court that two of the eight web links listed by Abhishek were no longer accessible. He also argued that one of the remaining links contained a post from a paparazzi account and might not amount to a violation of personality rights. Also Read - FIFA WC 2026, Argentina vs Egypt R16: Where to watch live streaming in India? However, Abhishek’s lawyer disagreed, saying the content was created using artificial intelligence. He argued that one post falsely described Abhishek’s manager as his girlfriend and used an AI-generated image to create a misleading impression. “What is it indicating? Is that he is crying over the shoulders of another and it is an AI-generated image. It isn’t a paparazzi issue. He is clicked with the manager and then given a different colour to it using artificial intelligence," the lawyer said.

Cricketer Abhishek Sharma has approached the Delhi High Court seeking protection of his personality rights. His plea raises concerns over the unauthorized use of AI-generated content and defamatory material using his identity.

Cricketer Abhishek Sharma seeks Delhi High Court protection for personality rights

Artificial Intelligence is making earning money easy for those who have the knack for it. According to a viral post on X, a 20-year-old student in China spent $20 on Claude, used it to build an artificial intelligence-powered speed radar in just nine days, and then sold it for $317,000. For the system, the student spent a small amount of money on API calls and used an old camera. China-based entrepreneur Min Choi shared the video of the AI-powered speed radar, informing that the student made a huge profit by selling it to the city district.&nbsp;The video shows the camera on top of a building, with a computer screen displaying all the vehicles it captures. A green box with the speed of the vehicle appears on those following the limit, while a red box is seen on vehicles breaking the rule. The claim made by Choi could not be verified, nor are there any details about whether experts tested the system. He wrote, "AI is getting ridiculous...A 20-year-old student in China reportedly built an AI speed radar with Claude." &nbsp;

<blockquote class="twitter-tweet">AI is getting ridiculous... A 20-year-old student in China reportedly built an AI speed radar with Claude. 9 days. Old camera. $20 in API calls. Then allegedly sold it to a city district for $317K. <a href="https://t.co/79j7xvCIT7">pic.twitter.com/79j7xvCIT7</a>&mdash; Min Choi (@minchoi) <a href="https://x.com/minchoi/status/2073976629659898364?ref_src=twsrc%5Etfw">July 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Netizens dismiss the claim, ask why someone would pay $317,000</h2>Reacting to the post, users expressed amazement as well as scepticism about the AI speed radar. One wrote, "What is the accuracy in prediction? Does he have any stats posted? What is the prediction method he is using?” Another asked, "NO. No ai need for this, unnecessary cost and compute. Camera and scene is stationary. Just a pixelwise calculation is enough." Some pointed out the obvious - "From that angle he can't see any of the license plates. Doesn't seem very valuable to catch speeding drivers."&nbsp;&nbsp;Others said that the technology already exists, so why would the city pay over $300,000 for something built by a 20-year-old using AI? "If someone is building an speed radar, then it has to be properly calibrated. I don't think an AI tool can deliver the real world accuracy needed."&nbsp;Min Choi routinely shares videos and updates on AI on his X page.&nbsp;

China-based entrepreneur Min Choi shared a video of a speed radar supposedly made by a 20-year-old, claiming that he made it for $20 but sold it for $317,000, or Rs 3 crore. However, netizens are sure that this camera isn't what it is made out to be.

Artificial Intelligence is making earning money easy for those who have the knack for it. According to a viral post on X, a 20-year-old student in China spent $20 on Claude, used it to build an artificial intelligence-powered speed radar in just nine days, and then sold it for $317,000. For the system, the student spent a small amount of money on API calls and used an old camera. China-based entrepreneur Min Choi shared the video of the AI-powered speed radar, informing that the student made a huge profit by selling it to the city district. The video shows the camera on top of a building, with a computer screen displaying all the vehicles it captures. A green box with the speed of the vehicle appears on those following the limit, while a red box is seen on vehicles breaking the rule. The claim made by Choi could not be verified, nor are there any details about whether experts tested the system. He wrote, "AI is getting ridiculous...A 20-year-old student in China reportedly built an AI speed radar with Claude."

China-based entrepreneur Min Choi shared a video of a speed radar supposedly made by a 20-year-old, claiming that he made it for $20 but sold it for $317,000, or Rs 3 crore. However, netizens are sure that this camera isn't what it is made out to be.

Viral post claims boy spent $20 on Claude to build speed radar, sold it for Rs 3 crore. Netizens are not convinced

UN Secretary-General António Guterres on Monday (Jul 6) called for a global governance system to shape artificial intelligence for the benefit of humanity. He warned against allowing the technology to “vibe-code” our future. Speaking ahead of the first Global Dialogue on AI Governance in Geneva, the UN chief cautioned “an experiment is being run on our own societies, without a plan and without consent,” which is not sustainable.He warned that AI systems are no longer passive tools. “They are writing code, acting online and making choices with less and less human oversight,” he said, noting that current institutions were built for machines that follow instructions – not ones that increasingly make decisions on their own.“The question is whether we will shape this transformation together, or let it shape us,” he said, underscoring both the promise and risks of the technology.<h2>UN chief warns against ‘vibe-coding’</h2>While acknowledging AI’s potential to transform healthcare, education and development, Guterres said the pace of change is outstripping safeguards. He also warned of growing over-reliance on AI systems and the spread of misinformation, cautioning against what he described as “vibe-coding”. “But we cannot vibe-code the truth. We cannot vibe-code the future of humanity,” he said.Vibe coding refers to an intent-driven software development approach where natural language is used to guide an AI assistant in building an application.Also read | <a href="https://www.wionews.com/india-news/as-global-supply-chains-shift-can-india-become-the-next-manufacturing-hub-1783159714059">As global supply chains shift, can India become the next manufacturing hub?</a>Guterres added that a key concern is the concentration of AI power in a handful of companies and countries, leaving much of the world without a meaningful voice in shaping its trajectory.Guterres calls for child safety rules and AI standardsHe called for common global standards to assess AI risks, stronger protections for children, and a proposed AI Child Safety Pledge to ensure systems accessible to minors are safe.<h2>‘Killer robots’</h2>On military applications, Guterres issued his starkest warning yet, referring to autonomous weapons as “Killer robots,” describing them as machines that do the “selecting and engaging their target and taking a life, – without human control and judgement.” He said such systems “must be banned by international law.”“The door is still open. It will not stay open long,” he cautioned, urging governments to act before the technology outpaces humanity’s ability to control it.Watch | AI could operate companies under Argentina's new bill<a href="https://www.wionews.com/videos/ai-could-operate-companies-under-argentina-s-new-bill-1783164441244/embed">https://www.wionews.com/videos/ai-could-operate-companies-under-argentina-s-new-bill-1783164441244/embed</a>&nbsp;

UN chief António Guterres called for global AI rules, warning the world cannot “vibe-code the future” as the technology advances faster than oversight.

UN Secretary-General António Guterres on Monday (Jul 6) called for a global governance system to shape artificial intelligence for the benefit of humanity. He warned against allowing the technology to “vibe-code” our future. Speaking ahead of the first Global Dialogue on AI Governance in Geneva, the UN chief cautioned “an experiment is being run on our own societies, without a plan and without consent,” which is not sustainable. He warned that AI systems are no longer passive tools. “They are writing code, acting online and making choices with less and less human oversight,” he said, noting that current institutions were built for machines that follow instructions – not ones that increasingly make decisions on their own. “The question is whether we will shape this transformation together, or let it shape us,” he said, underscoring both the promise and risks of the technology. UN chief warns against ‘vibe-coding’ While acknowledging AI’s potential to transform healthcare, education and development, Guterres said the pace of change is outstripping safeguards. He also warned of growing over-reliance on AI systems and the spread of misinformation, cautioning against what he described as “vibe-coding”. “But we cannot vibe-code the truth. We cannot vibe-code the future of humanity,” he said. Vibe coding refers to an intent-driven software development approach where natural language is used to guide an AI assistant in building an application. Also read | As global supply chains shift, can India become the next manufacturing hub? Guterres added that a key concern is the concentration of AI power in a handful of companies and countries, leaving much of the world without a meaningful voice in shaping its trajectory. Guterres calls for child safety rules and AI standards He called for common global standards to assess AI risks, stronger protections for children, and a proposed AI Child Safety Pledge to ensure systems accessible to minors are safe. ‘Killer robots’ On military applications, Guterres issued his starkest warning yet, referring to autonomous weapons as “Killer robots,” describing them as machines that do the “selecting and engaging their target and taking a life, – without human control and judgement.” He said such systems “must be banned by international law.” “The door is still open. It will not stay open long,” he cautioned, urging governments to act before the technology outpaces humanity’s ability to control it. Watch | AI could operate companies under Argentina's new bill https://www.wionews.com/videos/ai-could-operate-companies-under-argentina-s-new-bill-1783164441244/embed

UN chief António Guterres called for global AI rules, warning the world cannot “vibe-code the future” as the technology advances faster than oversight.

‘We cannot vibe-code future’: UN chief sounds alarm over AI, calls for global rules

The UK National Crime Agency (NCA) and the World Economic Forum (WEF) have released a new set of strategic guidelines aimed at combatting the rapid rise of AI-facilitated child exploitation. With deepfake imagery and AI-generated abuse material seeing a staggering surge over the past year, these guidelines outline a "Safer by Design" framework for tech platforms.


UK national crime agency & WEF release child safety guidelines 

Could the future of business be run entirely by algorithms? Argentina’s government has submitted a bold new bill to Congress proposing the creation of "non-human corporations"—a new legal category for companies managed and operated by AI agents. While President Javier Milei pitches this as the next evolution of corporate law, critics and legal experts are sounding the alarm on accountability and the "liability gap."


AI could operate companies under Argentina's new bill 

OpenAI has reportedly explored giving the US government a 5% ownership stake in the company as it prepares for a future public listing and faces growing political scrutiny over artificial intelligence. According to the Financial Times, the proposal has been discussed by OpenAI CEO Sam Altman with senior officials in the Trump administration, including President Donald Trump, Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent. The discussions are still in the early stages, and no agreement has been reached. The proposal has attracted attention because it would represent a new way of linking AI development with public ownership.<h2>Why is OpenAI discussing government ownership?</h2>According to the report, OpenAI believes the public should directly benefit from the value created by artificial intelligence. The company has reportedly suggested that leading US AI developers could each contribute 5 per cent of their equity to a special investment vehicle. The idea is inspired by Alaska's Permanent Fund, which invests state oil revenues and distributes annual dividends to residents.Altman has previously argued that AI could create enormous economic value and that ordinary people should share in those gains rather than leaving them entirely with private investors.<h2>Why now?</h2>The discussions come as AI companies face increasing pressure from policymakers. Governments around the world are raising questions about the rapid expansion of AI, including concerns over massive data centre construction, electricity demand, job displacement, cybersecurity risks and the safety of increasingly powerful AI models.OpenAI is also preparing for a public listing while investing billions of dollars in AI infrastructure. Those rising costs have led some investors to question how quickly leading AI companies can become consistently profitable. The proposal is still only under discussion and would likely require approval from the US Congress before becoming reality. Separately, Trump said in June that he planned to meet major AI companies to discuss whether the government should hold ownership stakes in leading AI firms to help address public concerns about the technology. Altman has also proposed creating a US-led international AI forum involving governments and independent experts to establish safety standards, coordinate oversight and reduce pressure for companies to race ahead without sufficient safeguards. If such a model were ever adopted, it could represent one of the biggest changes yet in how advanced AI companies are governed. For now, however, the discussions remain exploratory, and OpenAI has not announced any formal decision.

OpenAI has reportedly discussed giving the US government a 5% ownership stake as part of a broader proposal aimed at sharing AI's economic benefits and easing concerns over the rapid growth of artificial intelligence.

OpenAI has reportedly explored giving the US government a 5% ownership stake in the company as it prepares for a future public listing and faces growing political scrutiny over artificial intelligence. According to the Financial Times, the proposal has been discussed by OpenAI CEO Sam Altman with senior officials in the Trump administration, including President Donald Trump, Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent. The discussions are still in the early stages, and no agreement has been reached. The proposal has attracted attention because it would represent a new way of linking AI development with public ownership. Why is OpenAI discussing government ownership? According to the report, OpenAI believes the public should directly benefit from the value created by artificial intelligence. The company has reportedly suggested that leading US AI developers could each contribute 5 per cent of their equity to a special investment vehicle. The idea is inspired by Alaska's Permanent Fund, which invests state oil revenues and distributes annual dividends to residents.Altman has previously argued that AI could create enormous economic value and that ordinary people should share in those gains rather than leaving them entirely with private investors. Why now? The discussions come as AI companies face increasing pressure from policymakers. Governments around the world are raising questions about the rapid expansion of AI, including concerns over massive data centre construction, electricity demand, job displacement, cybersecurity risks and the safety of increasingly powerful AI models.OpenAI is also preparing for a public listing while investing billions of dollars in AI infrastructure. Those rising costs have led some investors to question how quickly leading AI companies can become consistently profitable. The proposal is still only under discussion and would likely require approval from the US Congress before becoming reality. Separately, Trump said in June that he planned to meet major AI companies to discuss whether the government should hold ownership stakes in leading AI firms to help address public concerns about the technology. Altman has also proposed creating a US-led international AI forum involving governments and independent experts to establish safety standards, coordinate oversight and reduce pressure for companies to race ahead without sufficient safeguards. If such a model were ever adopted, it could represent one of the biggest changes yet in how advanced AI companies are governed. For now, however, the discussions remain exploratory, and OpenAI has not announced any formal decision.

OpenAI has reportedly discussed giving the US government a 5% ownership stake as part of a broader proposal aimed at sharing AI's economic benefits and easing concerns over the rapid growth of artificial intelligence.

OpenAI discussed giving US government a 5% stake: What it could mean for the future of AI

South Korea's booming AI semiconductor industry is creating unprecedented wealth. But reports suggest the benefits are being shared unevenly, fuelling concerns over widening income inequality.

South Korea: Some chip workers receive 3,000% bonuses

There is a version of Mark Zuckerberg's career that looks like visionary boldness: the founder who saw mobile before Google, who built a social graph that connected three billion people, who made a $19 billion bet on WhatsApp when everyone thought he was crazy. Then there is the version that has been playing out in real time since 2021 — a CEO who keeps announcing enormous bets on ideas that either collapse into expensive failures or turn out to be things he cannot actually execute. The Metaverse. Meta AI. And now, Meta Compute: the plan to build an Amazon Web Services rival. Each one announced with confidence. Each one, so far, stumbling.&nbsp;The Metaverse: $90 Billion On Cartoon Zoom Calls&nbsp;In late 2021, Zuckerberg renamed the company from Facebook to Meta and declared that the future was the Metaverse — a persistent virtual world where people would work, socialise, and live through VR headsets and digital avatars. Billions poured into Reality Labs, the division responsible for making this happen. The flagship product, Horizon Worlds, launched to widespread mockery. Critics compared it to low-quality cartoon-like virtual meeting rooms — a Zoom call with worse graphics and no obvious reason to use it. The numbers tell the story clearly: Reality Labs has lost approximately $90 billion in total since 2020. Annual losses went from $10 billion in 2021 to $13 billion in 2022, $16 billion in 2023, $17.7 billion in 2024, and $19.2 billion in 2025. In 2026's first quarter alone, the division lost over $4 billion. Despite all of this, the Metaverse generates roughly 1 percent of Meta's total revenue.&nbsp;Meta AI: Exploiting Users, Banning Creators, Getting Facts Wrong&nbsp;When the Metaverse bet started looking like a catastrophe, Zuckerberg pivoted hard to artificial intelligence. Meta AI was positioned as the company's answer to ChatGPT and Google Gemini — a conversational AI assistant embedded across Instagram, WhatsApp, Facebook Messenger, and the Quest headsets. The reality has been a different story. Meta's AI moderation systems have been falsely banning thousands of Instagram creators and small businesses, flagging ordinary family photos as child exploitation material, and removing accounts that represent years of work and primary income streams for their owners. A Change.org petition against wrongful Meta AI bans has gathered nearly 56,000 signatures. Meta's own Oversight Board confirmed in June 2026 that the company's AI enforcement lacks due process and transparency — meaning bans are made by automated systems with no human review and no meaningful appeals process. Meanwhile, AI-generated bot accounts with blue tick verification badges continue to thrive on the same platform where real human creators are being removed.&nbsp;Now He Wants To Build An AWS&nbsp;With the Metaverse burning money and Meta AI generating headlines for all the wrong reasons, Zuckerberg has announced his latest pivot: Meta Compute, an internal initiative to sell spare AI computing capacity to outside customers and compete directly with Amazon Web Services, Microsoft Azure, and Google Cloud. At Meta's shareholder meeting in May 2026, Zuckerberg said entering cloud computing was ‘definitely on the table,’ noting that companies were approaching Meta ‘almost every week’ to buy access to its AI models or spare computing power. The initiative is being led by Meta's infrastructure chief Santosh Janardhan, Daniel Gross of Meta Superintelligence Labs, and Meta President Dina Powell McCormick.&nbsp;The Problem: Meta Has No Spare Compute&nbsp;The immediate problem with Meta's cloud ambitions was identified by analyst Richard Windsor almost as soon as the plan leaked: Meta does not actually have spare compute to sell. Companies like CoreWeave and Nebius exist specifically because Meta — and other major AI companies — need to buy capacity from outside suppliers to meet their own AI workload demands. If Meta is buying compute from CoreWeave and Nebius today, it cannot simultaneously be renting surplus compute to paying customers. Building a real cloud business would require Meta to dramatically increase its data centre and chip capacity — which is exactly what Wolfe Research found when they ran the numbers, concluding that a genuine cloud business would push Meta's 2027 capital expenditure to $200 billion, up from previous estimates of $160 billion, and would likely force the company to raise capital before any cloud revenue materialised.&nbsp;The Copycat Problem&nbsp;The deeper issue is not just whether Meta Compute can work. It is the pattern it fits into. Facebook was built partly by copying features from rivals. Instagram Stories was a direct copy of Snapchat Stories. Reels was built to compete with TikTok after TikTok ate into Facebook's youth audience. WhatsApp's payment features mirror WeChat. The difference is that copying a product feature is relatively cheap and reversible. Copying an entire business model — building a cloud infrastructure giant from scratch to compete with companies that have been doing it for fifteen to twenty years — is a different order of magnitude entirely. AWS, Azure, and Google Cloud have decades of enterprise relationships, global infrastructure, and developer ecosystems that Meta does not have. The question the market is increasingly asking is whether Zuckerberg's instinct to respond to every competitive threat by building a replica is the right strategy — or whether it is a habit that has started to cost considerably more than it returns.

From a $90 billion Metaverse failure to Meta AI wrongly banning creators, Zuckerberg's bets keep collapsing. Now he wants to build a cloud rival to AWS — but analysts say Meta has no spare compute.

There is a version of Mark Zuckerberg's career that looks like visionary boldness: the founder who saw mobile before Google, who built a social graph that connected three billion people, who made a $19 billion bet on WhatsApp when everyone thought he was crazy. Then there is the version that has been playing out in real time since 2021 — a CEO who keeps announcing enormous bets on ideas that either collapse into expensive failures or turn out to be things he cannot actually execute. The Metaverse. Meta AI. And now, Meta Compute: the plan to build an Amazon Web Services rival. Each one announced with confidence. Each one, so far, stumbling. The Metaverse: $90 Billion On Cartoon Zoom Calls In late 2021, Zuckerberg renamed the company from Facebook to Meta and declared that the future was the Metaverse — a persistent virtual world where people would work, socialise, and live through VR headsets and digital avatars. Billions poured into Reality Labs, the division responsible for making this happen. The flagship product, Horizon Worlds, launched to widespread mockery. Critics compared it to low-quality cartoon-like virtual meeting rooms — a Zoom call with worse graphics and no obvious reason to use it. The numbers tell the story clearly: Reality Labs has lost approximately $90 billion in total since 2020. Annual losses went from $10 billion in 2021 to $13 billion in 2022, $16 billion in 2023, $17.7 billion in 2024, and $19.2 billion in 2025. In 2026's first quarter alone, the division lost over $4 billion. Despite all of this, the Metaverse generates roughly 1 percent of Meta's total revenue. Meta AI: Exploiting Users, Banning Creators, Getting Facts Wrong When the Metaverse bet started looking like a catastrophe, Zuckerberg pivoted hard to artificial intelligence. Meta AI was positioned as the company's answer to ChatGPT and Google Gemini — a conversational AI assistant embedded across Instagram, WhatsApp, Facebook Messenger, and the Quest headsets. The reality has been a different story. Meta's AI moderation systems have been falsely banning thousands of Instagram creators and small businesses, flagging ordinary family photos as child exploitation material, and removing accounts that represent years of work and primary income streams for their owners. A Change.org petition against wrongful Meta AI bans has gathered nearly 56,000 signatures. Meta's own Oversight Board confirmed in June 2026 that the company's AI enforcement lacks due process and transparency — meaning bans are made by automated systems with no human review and no meaningful appeals process. Meanwhile, AI-generated bot accounts with blue tick verification badges continue to thrive on the same platform where real human creators are being removed. Now He Wants To Build An AWS With the Metaverse burning money and Meta AI generating headlines for all the wrong reasons, Zuckerberg has announced his latest pivot: Meta Compute, an internal initiative to sell spare AI computing capacity to outside customers and compete directly with Amazon Web Services, Microsoft Azure, and Google Cloud. At Meta's shareholder meeting in May 2026, Zuckerberg said entering cloud computing was ‘definitely on the table,’ noting that companies were approaching Meta ‘almost every week’ to buy access to its AI models or spare computing power. The initiative is being led by Meta's infrastructure chief Santosh Janardhan, Daniel Gross of Meta Superintelligence Labs, and Meta President Dina Powell McCormick. The Problem: Meta Has No Spare Compute The immediate problem with Meta's cloud ambitions was identified by analyst Richard Windsor almost as soon as the plan leaked: Meta does not actually have spare compute to sell. Companies like CoreWeave and Nebius exist specifically because Meta — and other major AI companies — need to buy capacity from outside suppliers to meet their own AI workload demands. If Meta is buying compute from CoreWeave and Nebius today, it cannot simultaneously be renting surplus compute to paying customers. Building a real cloud business would require Meta to dramatically increase its data centre and chip capacity — which is exactly what Wolfe Research found when they ran the numbers, concluding that a genuine cloud business would push Meta's 2027 capital expenditure to $200 billion, up from previous estimates of $160 billion, and would likely force the company to raise capital before any cloud revenue materialised. The Copycat Problem The deeper issue is not just whether Meta Compute can work. It is the pattern it fits into. Facebook was built partly by copying features from rivals. Instagram Stories was a direct copy of Snapchat Stories. Reels was built to compete with TikTok after TikTok ate into Facebook's youth audience. WhatsApp's payment features mirror WeChat. The difference is that copying a product feature is relatively cheap and reversible. Copying an entire business model — building a cloud infrastructure giant from scratch to compete with companies that have been doing it for fifteen to twenty years — is a different order of magnitude entirely. AWS, Azure, and Google Cloud have decades of enterprise relationships, global infrastructure, and developer ecosystems that Meta does not have. The question the market is increasingly asking is whether Zuckerberg's instinct to respond to every competitive threat by building a replica is the right strategy — or whether it is a habit that has started to cost considerably more than it returns.

Mark Zuckerberg has spent nearly a decade copying competitors and betting billions on ideas that collapsed. The Metaverse burned through $90 billion and became a punchline. Meta AI has wrongly banned thousands of creators and exploited users' content. Now Zuckerberg is announcing plans to build his own cloud computing business to rival AWS — despite analysts pointing out that Meta doesn't even have spare compute to sell. The pattern is becoming hard to ignore.

'Failed AI, AWS copy': Zuckerberg is destroying his own empire and investors refuse to see it

A new study has ignited debate over the growing influence of artificial intelligence in public discourse. Researchers found that an AI system was able to impersonate 112 UK public figures, with more than half of participants rating the AI-generated personas as more authentic than the real individuals.


Study: AI impersonated 112 UK public figures

Ford has hired over 300 quality inspectors after realising that Artificial Intelligence is not the answer to all its questions. A Bloomberg report states that the US automaker has brought back human engineers after AI failed to match their skills and experience. "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it," Charles Poon, vice president of vehicle hardware engineering, told reporters. The company, just like many others, hopped onto the AI bandwagon, deploying it across some of its operations, including quality checks. However, it has now realised that it fails miserably when pitted against its most experienced engineers.&nbsp;"Over prior years, we didn't pay as much attention as we should have to the experience of our most knowledgeable engineers who have been with us through many product cycles," Poon said. Companies all over the world are moving towards AI-first organisations, but many have admitted that human knowledge is irreplaceable. Ford boss Jim Farley said in an interview last year, "AI will leave a lot of white-collar people behind." Turns out, quality checks aren't one of them.Also Read: <a href="https://www.wionews.com/trending/company-ends-up-spending-rs-4-800-crore-on-claude-ai-in-a-month-because-of-a-tiny-oversight-1780048597729">Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight</a>&nbsp;In October, chief operating officer Kumar Galhotra said that Ford is rolling out 900 AI-powered cameras in its plants "to detect quality issues at the source and help us mitigate supply disruptions". But Poon has admitted that AI-led checks are not delivering the desired results.Also Read: <a href="https://www.wionews.com/trending/fact-check-did-jeff-bezos-say-human-use-of-water-is-slowing-down-ai-1781967987089">Fact check: Did Jeff Bezos say human use of water is slowing down AI? Here is what we found</a>&nbsp;"Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product," he said. Galhotra added that Ford is moving away from its quality control approach, where problems were identified after they reached the factory floor. The technical specialists now help identify quality issues before production begins.<h2>Technical experts will train AI systems at Ford</h2>Poon reportedly said that since the veteran engineers left the company before AI could learn from their years of experience, it is lacking their expertise. Human workers who have now been brought back are training the systems and other workers. Ford has realised that it is important to enhance automation, machine learning and artificial intelligence tools, and human knowledge is the only way to make it happen.&nbsp;The company said in a press statement that to top the index, it made a "significant talent refresh", including replacing senior leaders across engineering, supply chain and manufacturing, and hiring roughly 300 veteran engineers.&nbsp;

Ford has understood that Artificial Intelligence alone is not going to work, and has hired over 300 technical experts for quality checks. However, they will train the AI systems, passing on their decades of expertise to AI to improve its quality.

Ford has hired over 300 quality inspectors after realising that Artificial Intelligence is not the answer to all its questions. A Bloomberg report states that the US automaker has brought back human engineers after AI failed to match their skills and experience. "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it," Charles Poon, vice president of vehicle hardware engineering, told reporters. The company, just like many others, hopped onto the AI bandwagon, deploying it across some of its operations, including quality checks. However, it has now realised that it fails miserably when pitted against its most experienced engineers. "Over prior years, we didn't pay as much attention as we should have to the experience of our most knowledgeable engineers who have been with us through many product cycles," Poon said. Companies all over the world are moving towards AI-first organisations, but many have admitted that human knowledge is irreplaceable. Ford boss Jim Farley said in an interview last year, "AI will leave a lot of white-collar people behind." Turns out, quality checks aren't one of them. Also Read: Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight In October, chief operating officer Kumar Galhotra said that Ford is rolling out 900 AI-powered cameras in its plants "to detect quality issues at the source and help us mitigate supply disruptions". But Poon has admitted that AI-led checks are not delivering the desired results. Also Read: Fact check: Did Jeff Bezos say human use of water is slowing down AI? Here is what we found "Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product," he said. Galhotra added that Ford is moving away from its quality control approach, where problems were identified after they reached the factory floor. The technical specialists now help identify quality issues before production begins. Technical experts will train AI systems at Ford Poon reportedly said that since the veteran engineers left the company before AI could learn from their years of experience, it is lacking their expertise. Human workers who have now been brought back are training the systems and other workers. Ford has realised that it is important to enhance automation, machine learning and artificial intelligence tools, and human knowledge is the only way to make it happen. The company said in a press statement that to top the index, it made a "significant talent refresh", including replacing senior leaders across engineering, supply chain and manufacturing, and hiring roughly 300 veteran engineers.

Ford has understood that Artificial Intelligence alone is not going to work, and has hired over 300 technical experts for quality checks. However, they will train the AI systems, passing on their decades of expertise to AI to improve its quality.

AI flops for Ford as it brings back over 300 human experts

A mango-slicing video shot on a point-of-view camera by someone in the south Indian state of Tamil Nadu feeds an artificial intelligence data supply chain whose platform layer is valued at $29 billion in the US. The person who made the video- a labourer or a housewife- is paid $2.6 an hour. This cost arbitrage is pushing a boom in companies in the 'egocentric data' collection sector in India. The data collection is tedious, repetitive, yet important in the AI value chain. India is slowly becoming the egocentric data collection back office of the world. This moment in the history of technology is similar to the one that helped India's call centre boom in the 2000s. But is it back to back office status for India in the age of AI?<h2>What is egocentric data collection?</h2>Egocentric data is first-person video captured using head- or chest-mounted cameras while a person performs everyday tasks. The data collected this way is used to train AI models and humanoid robots to imitate human actions. The footage matches the viewpoint of a robot's own cameras. The data teaches the robot's AI brain the spatial relationships and movement far better than conventional third-person video.The human egocentric data collection approach is also cheaper than collecting data through robot teleoperation. One person with a wearable camera can record an entire workday, making large-scale data collection inexpensive. Benchmark datasets such as Meta's Ego4D were built largely in the West. But now, an increasing share of raw data collection is shifting to India because of cheap labour availability.&nbsp;Also read: <a href="https://www.wionews.com/business-economy/for-rs-250-per-hour-how-indians-are-selling-their-future-to-american-ai-companies-1781541364347">'For Rs 250 per hour': How Indians are selling their future to American AI companies</a><h2>Will India become the back office of egocentric data collection?</h2>India has already emerged as a major hub for collecting, processing and annotating AI training data. Companies such as Objectways and iMerit run studios where workers record routine household and workplace activities, earning around 250 rupees an hour.The scale is significant. NASSCOM estimates India's AI data annotation industry could exceed $7 billion by 2030 and employ up to one million people. But the real value created out of this data collection lies elsewhere, often in Silicon Valley in the US. India supplies the cheap labour, while ownership of datasets, AI models, humanoid robots, and platforms remains with the foreign firms.&nbsp;Also read: <a href="https://www.wionews.com/technology/it-s-happening-faster-than-expected-how-agentic-ai-is-reshaping-the-tech-industry-1781596627823">It's happening faster than expected: How Agentic AI is reshaping the tech industry</a><h2>India as the egocentric data collection capital of the world: Is it a good thing or a bad thing?</h2>For many workers, especially in the informal economy, egocentric data collection provides income. It creates opportunities in Tier-2 and Tier-3 towns of India, and offers flexible work to homemakers and first-generation graduates.The drawbacks are more structural. Most profits from this data collection accrue to AI platforms and humanoid robotics companies. Egocentric data collection helps train robots that may eventually replace many of the same manual tasks being recorded by the workers in India. And there is likely to be an expiry date on such jobs. Demand for such data from big AI and robotics firms can disappear quickly as soon as AI models and humanoid robots improve.<a href="https://www.wionews.com/videos/ai-could-help-automate-repetitive-and-routine-tasks-1782391332274/embed">https://www.wionews.com/videos/ai-could-help-automate-repetitive-and-routine-tasks-1782391332274/embed</a><h2>The call-centre parallel to India's data annotation industry</h2>The egocentric data collection and annotation industry's evolution resembles India's BPO boom of the 2000s. Both rely on labour arbitrage, repetitive work, and thin margins while serving foreign technology companies, which made billions in profits. Like the call-centre industry, egocentric data collection creates employment in the short term, but leaves ownership of technology and intellectual property elsewhere.Call centres generated long-term middle-class jobs, even if India remained a service provider. It also led to the growth of IT outsourcing, making IT services the single largest export of India. But the same can't be predicted about egocentric data collection.Also read: <a href="https://www.wionews.com/india-news/india-s-ai-problem-funding-gap-for-ai-startups-research-and-development-is-the-core-constraint-artificial-intelligence-news-1782542028012">India's AI problem: Funding gap for AI startups, research and development is the core constraint</a>&nbsp;It is a weak foundation for India's AI ambitions, as it does not create a lasting technological advantage for the country. India might be able to dominate the labour-intensive segment while missing the higher-value layers, where the real profits are.The long-term question is whether India can move beyond collecting data to owning datasets. If it does, egocentric data collection could become the first rung of a larger AI industry. If not, India risks remaining the world's AI back office while the real value is created abroad.

India is fast becoming a global hub for collecting egocentric data to train AI models and robots. For some, it's creating jobs. But who benefits in the value chain of automation?

A mango-slicing video shot on a point-of-view camera by someone in the south Indian state of Tamil Nadu feeds an artificial intelligence data supply chain whose platform layer is valued at $29 billion in the US. The person who made the video- a labourer or a housewife- is paid $2.6 an hour. This cost arbitrage is pushing a boom in companies in the 'egocentric data' collection sector in India. The data collection is tedious, repetitive, yet important in the AI value chain. India is slowly becoming the egocentric data collection back office of the world. This moment in the history of technology is similar to the one that helped India's call centre boom in the 2000s. But is it back to back office status for India in the age of AI? What is egocentric data collection? Egocentric data is first-person video captured using head- or chest-mounted cameras while a person performs everyday tasks. The data collected this way is used to train AI models and humanoid robots to imitate human actions. The footage matches the viewpoint of a robot's own cameras. The data teaches the robot's AI brain the spatial relationships and movement far better than conventional third-person video. The human egocentric data collection approach is also cheaper than collecting data through robot teleoperation. One person with a wearable camera can record an entire workday, making large-scale data collection inexpensive. Benchmark datasets such as Meta's Ego4D were built largely in the West. But now, an increasing share of raw data collection is shifting to India because of cheap labour availability. Also read: 'For Rs 250 per hour': How Indians are selling their future to American AI companies Will India become the back office of egocentric data collection? India has already emerged as a major hub for collecting, processing and annotating AI training data. Companies such as Objectways and iMerit run studios where workers record routine household and workplace activities, earning around 250 rupees an hour. The scale is significant. NASSCOM estimates India's AI data annotation industry could exceed $7 billion by 2030 and employ up to one million people. But the real value created out of this data collection lies elsewhere, often in Silicon Valley in the US. India supplies the cheap labour, while ownership of datasets, AI models, humanoid robots, and platforms remains with the foreign firms. Also read: It's happening faster than expected: How Agentic AI is reshaping the tech industry India as the egocentric data collection capital of the world: Is it a good thing or a bad thing? For many workers, especially in the informal economy, egocentric data collection provides income. It creates opportunities in Tier-2 and Tier-3 towns of India, and offers flexible work to homemakers and first-generation graduates. The drawbacks are more structural. Most profits from this data collection accrue to AI platforms and humanoid robotics companies. Egocentric data collection helps train robots that may eventually replace many of the same manual tasks being recorded by the workers in India. And there is likely to be an expiry date on such jobs. Demand for such data from big AI and robotics firms can disappear quickly as soon as AI models and humanoid robots improve. https://www.wionews.com/videos/ai-could-help-automate-repetitive-and-routine-tasks-1782391332274/embed The call-centre parallel to India's data annotation industry The egocentric data collection and annotation industry's evolution resembles India's BPO boom of the 2000s. Both rely on labour arbitrage, repetitive work, and thin margins while serving foreign technology companies, which made billions in profits. Like the call-centre industry, egocentric data collection creates employment in the short term, but leaves ownership of technology and intellectual property elsewhere. Call centres generated long-term middle-class jobs, even if India remained a service provider. It also led to the growth of IT outsourcing, making IT services the single largest export of India. But the same can't be predicted about egocentric data collection. Also read: India's AI problem: Funding gap for AI startups, research and development is the core constraint It is a weak foundation for India's AI ambitions, as it does not create a lasting technological advantage for the country. India might be able to dominate the labour-intensive segment while missing the higher-value layers, where the real profits are. The long-term question is whether India can move beyond collecting data to owning datasets. If it does, egocentric data collection could become the first rung of a larger AI industry. If not, India risks remaining the world's AI back office while the real value is created abroad.

India is fast becoming a global hub for collecting egocentric data to train AI models and robots. For some, it's creating jobs. But who benefits in the value chain of automation?

What is egocentric data? Will india become world's back office for egocentric data collection? is it a good thing or a bad thing?