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Immigrants powering US AI push: From Bansal to Chang, Zuckerberg's top AI team is full of immigrants

Immigrants powering US AI push: From Bansal to Chang, Zuckerberg's top AI team is full of immigrants

India Today2 days ago
As the AI arms race between Silicon Valley giants intensifies, Meta CEO Mark Zuckerberg is upping the ante with a bold new move — the creation of a brand-new SuperIntelligence Lab and a star-studded lineup of hires to go with it. In what can only be described as a talent heist, Meta has hired 11 of the brightest minds in AI, poaching top talent from OpenAI, Google DeepMind, Anthropic and beyond. Each new recruit brings high-end expertise to the table, from multimodal systems to LLM safety. But it is interesting to see how none of them hold a bachelor's degree from the United States.advertisementIn other words, Meta's SuperIntelligence Lab team — and in general almost entirety of the US AI push — is powered by immigrants, the same people who are currently on the radar of the Donald Trump administration. So, who are these people? Let's meet Meta's newest brain trust:Trapit BansalBefore joining the Meta team, Trapit Bansal was one of the OpenAI brains. An alumnus of IIT Kanpur, he holds integrated degrees in mathematics and statistics, followed by a PhD in computer science from the University of Massachusetts where he focused on meta-learning, deep learning, and natural language processing. His professional journey blends strong academic foundations with practical experience at some of the world's leading tech firms.Shuchao Bi
Shuchao Bi, formerly of OpenAI, brings his multimodal magic to Meta's SuperIntelligence Lab. A top expert in blending speech and text, Bi played a key role in developing GPT-4o's voice mode and the compact yet powerful o4-mini model. His work bridges the gap between how humans communicate and how AI understands, making digital assistants more fluid, natural, and versatile than ever. From boosting conversational AI to shaping the future of human-machine interaction, Bi's expertise is set to be a game-changer for Meta's AI ambitions.Huiwen ChangPreviously at Google Research, Chang, is a known generative image wizard. She helped design the Muse and MaskIT architectures, the secret sauce behind many AI-generated visuals today. She studied at Tsinghua University in China, and then in Princeton. She also led the image generation work for GPT-4o.Ji LinLin is another OpenAI talent who is a Tsinghua and MIT alumnus. He was instrumental in scaling LLMs like GPT-4o. His work has made high-quality AI image generation more efficient and cost-effective — a major win for large-scale deployment.Joel PobarAfter earning his degree in Australia, Joel Pobar carved out a name for himself as a seasoned infrastructure expert with more than a decade of experience in building scalable AI systems. His work on industry-defining projects like HHVM, Hack, and PyTorch has made him a key player behind the scenes of modern AI. Jack RaeA former employee at Google DeepMind, Rae has a reputation as a language model heavyweight. He's been involved in pre-training major models like Gemini 2.5, Gopher and Chinchilla. With degrees from Bristol, CMU, and UCL, he brings a unique cross-Atlantic academic pedigree.Hongyu RenRen, a Stanford PhD and Peking University grad, worked on post-training GPT-4o and its smaller variants. His research is focused on improving AI reliability, making models safer, more robust, and generally less prone to hallucinations. He is the fourth ex-OpenAI employee.Johan SchalkwykadvertisementA former Googler and a South African speech recognition expert, Schalkwyk helped lead the Maya team and contributed to the early days of the Sesame project. He's now bringing his voice tech expertise to Meta's AI frontier.Pei SunSun's dual degrees from Tsinghua and CMU power his work in post-training advanced AI models. He's also built perception systems for Waymo's autonomous vehicles, giving him a rare edge in real-world AI deployment. He quit Google DeepMind to come onboard with Meta. Jiahuai YuA multimodal maverick, Yu has contributed to a range of powerful models like o3/4o-mini and GPT-4. With degrees from USTC and UIUC, his work lets AI systems understand and reason across text, images and beyond.Shengjia ZhaoZhao is the co-creator of ChatGPT, GPT-4 and o4-mini. A leader in data synthesis and AI safety, Zhao's research continues to shape how modern AI models learn and behave responsibly.- Ends
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From Coders to CEOs: OpenAI's Srinivas Narayanan on how AI is redefining engineering
From Coders to CEOs: OpenAI's Srinivas Narayanan on how AI is redefining engineering

India Today

timean hour ago

  • India Today

From Coders to CEOs: OpenAI's Srinivas Narayanan on how AI is redefining engineering

Artificial intelligence has climbed up the ladder so fast that it is difficult to grasp where we truly are right now. While the 'pros and cons of AI' debate has not landed anywhere, OpenAI's Vice President highlights how AI is redefining engineering. Srinivas Narayanan, Vice President of Engineering at OpenAI, noted that the future of software engineering is no longer just about writing codes, it's about thinking like a the crowd at Sangam 2025, the flagship innovation summit hosted by the IIT Madras Alumni Association, he laid out his vision for the evolving role of engineers in an AI-driven world. 'For every software engineer, the job is going to shift from being an engineer to being a CEO. You now have the tools to do so much more, so I think that means you should aspire bigger,' he need to think like CEOGone are the days when engineers needed to worry about every technical detail. With the rise of advanced AI tools, engineers are being freed from the weeds of execution. Narayanan described these systems as more than assistants, they're now taking on significant chunks of the building process, allowing humans to focus on leadership, strategy and purpose. He explained, 'AI systems are moving far beyond simply answering questions.' As machines increasingly handle the 'how,' engineers will need to define the 'what' and the 'why', the kind of big-picture thinking that's long been the realm of company founders and C-suite leaders.'Of course, software is interesting and exciting,' he added, 'but just the ability to think bigger is going to be incredibly empowering for people, and the people who succeed (in the future) are the ones who are going to be able to think bigger.'Narayanan, who has led the development of some of OpenAI's most advanced systems, including Codex, a cloud-based engineering agent capable of completing complex programming tasks autonomously, argued that AI enables smaller teams to achieve outsized impact.'An organisation should be able to do things a lot more with the people that we have. I hope that this just elevates the potential for all of us as individuals and organisations to accomplish more than what we have,' he revolution in researchHis message wasn't limited to the world of software. Narayanan also highlighted how AI is revolutionising research, sharing examples of models that can reason through difficult scientific problems and even assist in medical discoveries. One compelling example involved AI helping to diagnose rare genetic disorders, an area where speed and accuracy can be the transformative power of these tools, Narayanan acknowledged the need for careful development. He spoke about OpenAI's approach to safety, noting the importance of guardrails in preventing misuse and reducing misinformation. 'We don't get everything perfect on the first try, but we learn and iterate rapidly,' he added.- Ends

From Freecharge to CRED: Kunal Shah responds to LinkedIn post questioning his loss-making startups — 'We need more...'
From Freecharge to CRED: Kunal Shah responds to LinkedIn post questioning his loss-making startups — 'We need more...'

Mint

time2 hours ago

  • Mint

From Freecharge to CRED: Kunal Shah responds to LinkedIn post questioning his loss-making startups — 'We need more...'

CRED's Kunal Shah on Saturday responded to a LinkedIn post which questioned 'why we celebrate the entrepreneur' even when his startups gave mounting losses and zero profitability over 15 years. Shah, known for co-founding Freecharge and later CRED, gave his insights on the ongoing debate about the metrics of entrepreneurial success, particularly in India's growing startup ecosystem. The discussion started after a LinkedIn user Adarsh Samalopanan, who identified himself as senior consultant of Deloitte, pointed at the poor financial performance of Shah's ventures so far. The consultant's post highlighted that Freecharge, founded in 2010, earned ₹ 35 crore by 2015 but incurred a significant loss of ₹ 269 crore. Snapdeal later acquired Freecharge for ₹ 2,800 crore, only for Axis bank to purchase it for ₹ 370 crore, which is a mere 14% of its earlier valuation. Similarly the post noted that Cred, launched in 2018 has earned ₹ 4,439 crore after almost seven years in business, however it still reported a loss of ₹ 5,215 crore. The consultant's core question was, 'Fifteen years into entrepreneurship, he has yet to record a single profitable financial year—so remind me again why we celebrate him?' Responding to a post, Kunal Shah agreed with the premise that profitability is important, and stated, 'Absolutely correct. We should be celebrating 1000s of entrepreneurs who have created very profitable companies without external capital.' However, he quickly moved to the broader definition of entrepreneurial success, emphasizing that 'We should celebrate everyone who is taking risk in life and being an entrepreneur cause in the post AI world being job seeker is going to be more risky. Kunal Shah's response to the post He further asserted 'We need more job creators.' After Cred's launch in 2018, it has since become one of most talked-about fintech startups of India. The company is famous for its unique approach to financial management, specifically for rewarding users for paying their credit card bills on time. The post triggered mixed reactions among LinkedIn users, with some defending Shah's long-term vision and impact of the firm on people's financial decisions. They also noted his role in revolutionising digital payments before UPI's dominance. Bhanu Pratap Singh, CEO of Cashcry said 'Kunal Shah has built platforms that moved India's digital payments and credit culture forward. He's generated wealth for investors, created jobs, and inspired an entire generation to dare bigger.' Another defended Shah by saying, 'Companies like Amazon and Uber bled money for years before turning profitable - his ventures might follow a similar arc.' Along with the praises, Kunal Shah was also criticised in the post as some users raised concerns about celebrating unprofitable ventures.A LinkedIn user said, 'Celebrating founders solely for valuation games without sustainable profits sets a dangerous precedent.' Another person mirrored this thought and claimed, 'Indian startup ecosystem is not as sound as it is projected and talked about, most of recent listings of Indian startups went horrendous on stock exchange.'

Equity inflows trend: FPIs invest Rs 14,590 crore in June equities, early July sees Rs 1,421 crore pullout; flows to stay volatile on global cues
Equity inflows trend: FPIs invest Rs 14,590 crore in June equities, early July sees Rs 1,421 crore pullout; flows to stay volatile on global cues

Time of India

time3 hours ago

  • Time of India

Equity inflows trend: FPIs invest Rs 14,590 crore in June equities, early July sees Rs 1,421 crore pullout; flows to stay volatile on global cues

Foreign portfolio investors (FPIs) infused Rs 14,590 crore into Indian equities in June 2025, marking the third consecutive month of net inflows, supported by improved global liquidity, easing geopolitical tensions, and a rate cut by the Reserve Bank of India. However, the trend reversed in early July, with FPIs pulling out Rs 1,421 crore in the first week of the month, data from depositories showed, PTI reported. Analysts expect FPI flows to remain volatile in the near term, given the uncertainty around US economic data and tariff deadlines. "FPI flows are expected to remain choppy on account of tariff deadline developments and US data volatility," said Vaqarjaved Khan, Senior Fundamental Analyst at Angel One, quoted PTI. According to V K Vijayakumar, Chief Investment Strategist at Geojit Financial Services, investor sentiment will now hinge on corporate earnings. "If the results indicate earnings recovery, that will be positive. Disappointment on these factors can impact the market and, thereby, flows," he said. Depository data shows FPIs invested a net Rs 14,590 crore in equities in June, following Rs 19,860 crore in May and Rs 4,223 crore in April. Before this, they were net sellers for three straight months, pulling out Rs 3,973 crore in March, Rs 34,574 crore in February, and a massive Rs 78,027 crore in January. This brings the total net FPI outflow in 2025 so far to Rs 79,322 crore. "FPIs exhibited a cautious yet improving stance in June 2025, beginning the month with notable outflows from the equity markets driven by elevated US bond yields, trade tensions, overvalued Indian stocks, and deteriorating geopolitical environment," said Himanshu Srivastava, Associate Director – Manager Research at Morningstar Investment. He added that sentiment improved in the latter half of June as global liquidity conditions stabilised, geopolitical risks eased, the RBI implemented a rate cut, the rupee strengthened, and crude oil prices moderated. Sectorally, FPIs were net buyers in financials, autos and auto components, and oil and gas, while they exited capital goods and power stocks during June. Meanwhile, in the debt market, FPIs pulled out Rs 6,121 crore from the general limit and another Rs 6,366 crore from the voluntary retention route during the month. Stay informed with the latest business news, updates on bank holidays and public holidays . AI Masterclass for Students. Upskill Young Ones Today!– Join Now

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