Aravind Srinivas's journey from IIT Madras setbacks to Perplexity CEO shows how curiosity, AI education and startup ambition shaped his career. His views on AI jobs and India’s technology future offer lessons for the next generation. Aravind Srinivas has become one of the most recognised Indian-origin leaders in the global artificial intelligence industry, but his path to the top was far from straightforward. Growing up in Chennai, Srinivas entered IIT Madras in

OpenAI mission interview is being tested as part of the OpenAI hiring process to assess judgment, AI safety awareness and mission alignment as candidates compete for highly paid AI jobs at OpenAI.   OpenAI is testing a new stage in its recruitment process designed to understand how prospective employees think about the wider impact of artificial intelligence and how they could contribute to the company’s goal of making advanced AI beneficial to humanity.

Concerns over the rapid development of increasingly powerful artificial intelligence systems have intensified discussions around AI safety, ethics and responsible behaviour. Against this backdrop, Anthropic, the company behind the Claude AI assistant, has reportedly been engaging with religious leaders, philosophers and experts from different fields to explore questions surrounding morality and values in advanced AI systems. Among those reportedly approached is Hindu Vedanta monk Sw

OpenAI GPT-6.1 Astra will not launch as originally planned in October after internal safety evaluations found problems with how the model followed authorization boundaries and reported its actions to users. The decision highlights growing concern over increasingly autonomous AI systems. Safety tests OpenAI decided to shelve the planned release after internal testing raised concerns about the model’s behavior in complex autonomous tasks

The US-China AI hotline marks a rare area of cooperation between the world’s two leading AI powers. Washington and Beijing agreed during Xi Jinping’s September visit to create a formal AI dialogue and a bilateral channel for serious incidents, with the next round of talks scheduled for November. AI dialogue The White House said the United States and China established a “U.S.-China Super Intelligence Dialogue” to exchange views on

The Claude 5.5 game rebuild of Prince of Persia shows a practical side of AI coding: instead of recreating every system, the model reused documented SDLPoP logic. The experiment highlights code reuse, legacy code understanding and long context handling in a checkable software project. AI coding A developer’s experiment with Anthropic’s Claude Opus 5.5 has gained attention because the AI helped reconstruct parts of the 1989 classic Pr

Almost half of young people in England now say they trust artificial intelligence more than a person to verify facts, according to new research that raises questions about how quickly education is adapting to AI. The survey also shows widespread AI use for learning, homework and understanding difficult topics. Public First surveyed 4,000 people aged 11 to 24 for a report by Sir Anthony Seldon and technology investo

President Donald Trump used the Trump Xi state dinner at the White House on September 24 to emphasize his relationship with Chinese President Xi Jinping and a desire for more stable US-China ties. Their state visit also focused on trade, artificial intelligence, Taiwan and wider security issues. US-China ties take center stage During his state dinner remarks, Trump said the United States and Ch

Senate Democratic Leader Chuck Schumer sharply criticized President Donald Trump’s handling of Chinese President Xi Jinping’s Washington visit, arguing that the ceremonial welcome showed excessive deference to the Chinese leader. Schumer also pressed the administration to maintain restrictions on advanced US artificial intelligence technology headed to China. Xi welcome draws Schumer criticism

Chinese President Xi Jinping begins a three-day U.S. state visit on September 23, 2026, with President Donald Trump expected to greet him at Joint Base Andrews. White House talks will focus on trade, artificial intelligence, rare earths and wider U.S.-China tensions. Chinese President Xi Jinping is set to begin a three-day state visit to the United States on Wednesday, September 23, 2026, with President Donald Trump expect

US President Donald Trump used his September 22 address to the 81st United Nations General Assembly to introduce a new term for artificial intelligence and reject stronger international control over the technology. The White House confirmed that Trump said AI would be “hereinafter officially called ‘Super Intelligence’,” while framing US leadership in the sector as a matter of national sovereignty.

The NHS could improve patient outcomes substantially without simply relying on higher spending, according to a new Health Foundation report examining productivity across England’s health service. The study says structural problems, ageing infrastructure and administrative burdens are limiting what doctors, nurses and hospitals can achieve with existing resources. NHS red tape adds pressure on staff The Health Foundation’s NHS Productivity Commission says unnecessary regulation, reporting and compliance requirements are consuming staff time that could be used more effectively. It argues that fragmented accountability and short-term planning make it difficult for NHS organisations to sustain improvements. The report recommends creating a dedicated mechanism to reduce unnecessary bureaucracy while giving local NHS leaders greater freedom to improve services. It also stresses that managers and administrative staff play an important role in preventing additional non-clinical work from falling onto doctors and nurses. NHS AI use could improve productivity Technology is another major area where the report sees room for improvement. It says poor IT systems and uneven adoption of new tools continue to waste clinical time, even though artificial intelligence could help streamline administration, diagnostics and patient care. The commission recommends a national “test-and-learn” approach so the NHS can evaluate promising technologies, including AI, before expanding successful models across the system. Separate UK government work on healthcare AI has also highlighted its potential to help identify serious conditions earlier and reduce administrative workload, while stressing the need for safety and human oversight. Early diagnosis could prevent thousands of deaths Delayed diagnosis remains another productivity and health challenge. The report points to diseases including cancer, diabetes and other treatable conditions where earlier detection could improve survival and reduce the need for more complex treatment later. Its international analysis estimates that if England matched the outcomes of better-performing comparable health systems, there could be around 18,500 to 20,600 fewer treatable deaths each year. People could also gain an average of 2.5 to 4.5 additional years of good health. These figures are estimates based on comparisons between health systems rather than guaranteed outcomes from individual reforms. NHS bed gaps and ageing hospitals limit care Infrastructure remains a major obstacle. Ageing hospitals, maintenance needs and limited diagnostic, operating-theatre and bed capacity can slow patient movement through the health system. The Health Foundation has previously noted that England has fewer hospital beds and less diagnostic capacity than several comparable countries. More staff alone cannot solve those constraints if hospitals lack modern buildings, equipment, technology and enough capacity to diagnose and treat patients efficiently. NHS savings could reach £33 billion a year The commission estimates that sustained productivity improvements could eventually be worth around £33 billion annually, roughly equivalent to about $44 billion depending on exchange rates. The central argument is not that the NHS can simply cut spending, but that it can generate better outcomes from the resources already available. The Department of Health and Social Care said the NHS is already improving productivity through greater use of technology, reduced agency staffing and leaner back-office operations. It pointed to record numbers of appointments, tests and scans, while acknowledging that considerably more work remains under the government’s 10-Year Health Plan. 

President Donald Trump used his September 22 address to the 81st United Nations General Assembly to launch a direct attack on the International Criminal Court, while also setting out US positions on Gaza, Iran, artificial intelligence, Venezuela, Greenland and the United Nations itself. The White House described the speech as a defense of American sovereignty and national interests.

The US-China AI race is intensifying as President Donald Trump rejects calls for slower AI development while industry leaders push for stronger safeguards. Washington and Beijing are also exploring limited AI safety cooperation ahead of the Trump-Xi summit. US-China AI Race Intensifies Ahead of Trump-Xi Summit The US-China AI race is entering a critical phase as President Donald Trump rejects calls for slower development while major AI executives seek stronger safeguards. At the same time, Washington and Beijing are exploring limited AI safety cooperation ahead of the Trump-Xi summit. AI slowdown debate divides Washington and tech leaders Some leading AI executives have recently argued that frontier development needs stronger safeguards and, in certain circumstances, a slower pace. OpenAI CEO Sam Altman has said progress should continue but be slower, while Anthropic CEO Dario Amodei has proposed allowing leading companies to coordinate on safety without running into antitrust restrictions. Trump has taken a different position. He described growing pressure for tighter AI regulation as a “SICK conspiracy” and argued that slowing US development would benefit China. His administration views leadership in advanced AI as an economic and national-security priority. The disagreement is not simply between regulation and innovation. AI companies themselves continue rapidly developing new systems while simultaneously seeking rules or coordination aimed at limiting the risks posed by increasingly capable models. Trump AI policy focuses on competition with China Trump has framed artificial intelligence as a strategic competition in which American leadership must be preserved. His stance comes as Chinese companies such as DeepSeek and Moonshot AI continue developing advanced models despite US restrictions on access to some high-end semiconductor technology. The United States retains major advantages through companies including OpenAI, Anthropic, Google, Meta and Nvidia. China, however, has increasingly promoted lower-cost models, domestic chips and AI infrastructure as part of its effort to reduce reliance on American technology. That rivalry is also spreading internationally as both countries seek partnerships involving data centers, cloud infrastructure, chips and AI applications. For developing economies, the competition could mean greater access to technology but also tougher choices over standards, suppliers and data governance. AI safety talks emerge before Trump-Xi meeting Despite the rivalry, Washington and Beijing have found a narrow area where cooperation may be possible. US Treasury Secretary Scott Bessent said talks with Chinese Vice Premier He Lifeng in New York produced a proposal for an AI incident-notification mechanism. The idea would create a channel for the two governments to communicate when serious AI incidents could affect national security. Officials have discussed risks involving autonomous agents, cyber activity and threats to critical infrastructure. The two sides are expected to continue the dialogue in Shenzhen in roughly two months. China has not publicly committed to every element of the US proposal, but the discussions indicate that both governments see some shared risks even while competing for AI leadership. China AI plan emphasizes global governance Chinese President Xi Jinping has also called for international cooperation on AI governance, while Beijing promotes its own technology ecosystem and open-source initiatives. The broader Chinese position combines support for global rules with efforts to strengthen domestic AI capabilities and reduce dependence on US-controlled technologies. That creates the central tension ahead of the Trump-Xi summit: both countries want leadership in AI, but both also face risks if the competition becomes completely unmanaged. Recent discussions suggest the summit may focus less on slowing the race itself and more on establishing limited guardrails for serious incidents. The outcome will matter well beyond Washington and Beijing. AI safety standards, chip access, infrastructure investment and model governance could increasingly be shaped by how the world’s two largest technology powers manage competition without allowing shared risks to spiral.

Disney has named Karandeep Anand its first companywide chief technology officer, effective October 2, 2026. The former Character.AI CEO will oversee technology, infrastructure, data, AI, product and engineering as Disney expands its digital strategy. The Walt Disney Company announced on September 18, 2026, that Karandeep Anand will join the company as senior executive vice president and chief technology officer, a newly cr

Meta AI executive Alexandr Wang attracted attention online after responding to Webflow CTO Utkarsh Sengar, who said he had successfully used Meta’s Muse AI agent to book plane tickets. The exchange quickly became a talking point because it combined a casual social-media interaction with a practical example of how AI agents are beginning to handle everyday tasks. Sengar shared his experience on X, saying Muse had helped complete the flight-booking process and that the experience made him reluctant to return to traditional booking methods. Wang responded positively to the post and then made a lighthearted remark about ensuring that Sengar also booked a return ticket. He later followed up with an apology, describing the comment as a “dumb joke.” The brief interaction gained attention not just because of Wang’s response, but because it demonstrated how AI tools are moving beyond simple question-and-answer functions. Instead of merely suggesting flights or comparing prices, newer AI agents are being developed to carry out actions for users. Meta Muse AI agent handles real-world flight booking Meta’s Muse AI agent is designed to assist users with practical digital tasks rather than only generating text-based answers. Flight booking is one example of the type of activity such systems are expected to handle as companies push toward more autonomous AI assistants. The technology reflects a wider shift in artificial intelligence, where assistants are increasingly being built to browse websites, interact with online services and complete multi-step tasks. Travel planning is a particularly useful test because booking a flight may involve searching schedules, comparing options, entering passenger information and completing transactions. Sengar’s experience therefore offered a real-world example of how an AI agent could reduce the number of steps normally required from a user. It also showed why technology companies are investing heavily in systems that can act on instructions rather than simply provide recommendations. Utkarsh Sengar flight booking sparks Alexandr Wang response The exchange between Sengar and Wang also brought additional visibility to Muse. While Wang’s joke became the social-media hook, the larger story was the successful use of an AI agent for a routine but relatively complex consumer task. For users, the appeal is straightforward: if an AI assistant can reliably handle activities such as travel bookings, appointments, shopping or other online tasks, it could save time and reduce repetitive work. However, wider adoption will also depend on how comfortable people are with giving AI systems access to personal information, payment details and connected accounts. Security, privacy and user control are therefore likely to remain important questions as autonomous AI agents become more capable. A system that can complete transactions may be more useful than a traditional chatbot, but it also carries greater responsibility when handling sensitive information or making decisions on a user’s behalf. The Alexandr Wang Meta Muse AI flight booking exchange may have started as a short online conversation, but it highlights a broader change in how AI products are evolving. The next phase of consumer AI is increasingly focused on completing actions, and travel booking could become one of the clearest examples of whether users are ready to trust AI agents with everyday tasks.

AI model fatigue is becoming a real problem for businesses as Anthropic, OpenAI, Meta and Google accelerate model releases. Faster innovation can lower costs and improve capability, but constant upgrades also increase testing demands, procurement pressure and safety concerns. AI model fatigue puts pressure on enterprise buyers

Trump joined Nvidia CEO Jensen Huang by phone during the All-In Summit and strongly backed America’s expanding AI industry. US President Donald Trump made an unexpected appearance at the All-In Summit in Los Angeles after placing a phone call to Nvidia CEO Jensen Huang while the technology executive was speaking onstage. Huang answered the cal

Africa’s digital infrastructure investment landscape could become easier for businesses to navigate as Nigeria’s National Information Technology Development Agency (NITDA) pushes for greater regulatory alignment. NITDA Director-General Kashifu Inuwa Abdullahi says a unified approach could reduce delays, simplify licensing and create more predictable conditions for investors across the continent.

The Pentagon’s GenAI.mil platform has expanded access to commercial artificial intelligence across the US defence workforce, adding OpenAI’s ChatGPT Mil and Grok for Government alongside Google Gemini. More than 1.7 million users have already accessed the system, while Anthropic’s Claude remains absent following a high-profile dispute over military AI safeguards.