Who are the 11 AI experts hired by Mark Zuckerberg's Meta? Fun fact — all of them are immigrants
Zuckerberg has brought on 11 new hires in the AI field, including researchers from OpenAI, Anthropic and Google, according to multiple reports, as the AI war between tech companies intensifies.
While the 11 new AI experts are from different companies, they have one thing in common — none of them have their bachelor's degree from the US and are immigrants.
Worked previously at OpenAI
Education: Master of Science (M.Sc. Integrated), Mathematics & Statistics, IIT Kanpur; Doctor of Philosophy (PhD), University of Massachusetts Amherst, USA
About: Trapit Bansal is credited with his groundbreaking research on AI, which helps AI models improve logical step-by-step problem solving abilities. His industrial work is cited widely and has affected both industrial and academic AI models.
Worked previously at OpenAI
Education: Bachelor of Science (BS), Zhejiang University, China; Doctor of Philosophy (PhD), University of California, Berkeley, USA
About: Shuchao Bi is a well-known name in the multimodal AI field, and has co-developed the voice mode for GPT-4o and the o4-mini model. His work has been key to the advancements in conversational AI.
Worked previously at Google Research
Education: Bachelor of Science (BS), Tsinghua University, China; Doctor of Philosophy (PhD), Princeton University, USA
About: Huiwen Chang is the bran behind MaskIT and Muse architectures, which have become the foundational models in creating generative AI images. She led the GPT-4o image generation team.
Worked previously at OpenAI
Education: Bachelor of Engineering (BEng), Tsinghua University, China; Doctor of Philosophy (PhD), Massachusetts Institute of Technology (MIT), USA
About: Ji Ling played a crucial part in optimising and scaling large language models such as GPT-4o and the o4 group. His work has led AI images being more cost-effective.
Worked previously at Anthropic and Meta
Education: Bachelor of Information Technology (Honours), Queensland University of Technology (QUT), Australia
About: Joel Pobar has over a decade of experience in building scalable AI models. A part of technologies like HHVM, Hack, and PyTorch, his work enables AI models run efficiently at scale.
Worked previously at Google DeepMind
Education: Bachelor of Science (BS), University of Bristol, UK; Master of Science (MS), Carnegie Mellon University (CMU), USA; Doctor of Philosophy (PhD), University College London (UCL), UK
About: Jack Rae is a leader in large-scale language model research. He has pre-trained Gemini 2.5, and has developed Google's Gopher and Chinchilla models.
Worked previously at OpenAI
Education: Bachelor of Science (BS), Peking University, China; Doctor of Philosophy (PhD), Stanford University, USA
About: Hongy Ren is credited with the post-training of GPT-4o and the o1/3/4o-mini models to increase reliability and robustness. His research focuses on making AI safer and trustworthy.
Worked previously at Google
Education: Bachelor of Science in Engineering (BS Meng), University of Pretoria, South Africa
About: A Google fellow and speech recognition expert, Johan Schalkwyk has led the Maya team and contributed to the Sesame project of Google in its early days.
Worked previously at Google DeepMind
Education: Bachelor of Science (BS), Tsinghua University, China; Master of Science (MS), Carnegie Mellon University (CMU), USA
About: Pei Sun's research concerns the post-training of advanced AI models as well as their reasoning. He has also developed the perception systems for Waymo's self-driving cars.
Worked previously at OpenAI and Gemini
Education: Bachelor of Science (BS), University of Science and Technology of China (USTC), China; Doctor of Philosophy (PhD), University of Illinois Urbana-Champaign (UIUC), USA
About: Jiahuai Yu's work focuses on perception and multimodal AI, having been associated with o3/4o-mini and GPT-4/4o. His research enables AI models to generate information from texts, images and more.
Worked previously at OpenAI
Education: Bachelor of Science (BS), Tsinghua University, China; Doctor of Philosophy (PhD), Stanford University, USA
About: Shengjia Zhao is the co-creator of ChatGPT, GPT-4, and o4-mini, and is a lead researcher of data synthesis and AI safety.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


India Today
an hour ago
- India Today
Ex-OpenAI board member warns Meta must move fast enough or risk losing top AI hires like Trapit Bansal to rivals
Meta has made headlines for its aggressive hiring of top AI researchers, including those from OpenAI, but former OpenAI board member Helen Toner has raised doubts over how long the company can hold on to this talent. Speaking to Bloomberg, Toner said Meta will have to prove it's moving fast in AI innovation or else face the risk of losing its new recruits to rival who stepped down from OpenAI's board in November 2023, pointed out that competition for AI expertise is intense, and Meta's latest hires may already be in the sights of other companies. 'They will be getting attempts to poach them back to other companies starting on day one,' she said in the recently set up a new AI division called Meta Superintelligence Labs, co-led by Alexandr Wang, founder and CEO of ScaleAI, and Nat Friedman, former GitHub CEO. This team has attracted multiple researchers from leading AI organisations, including OpenAI, Google DeepMind, and Anthropic. One of the most high-profile hires is Indian-origin researcher Trapit Bansal, an alumnus of IIT Kanpur. Bansal, who previously worked at OpenAI, confirmed his move to Meta in a recent post on X, writing, 'Thrilled to be joining Meta! Superintelligence is now in sight.' OpenAI spokesperson Kayla Wood also confirmed Bansal's departure from the Meta has certainly made a strong impression with its new lineup of talent, Toner believes the real challenge lies ahead. According to her, the key test for Meta is not just to attract top minds but to create an environment where they can thrive. She warned that internal company politics and clashing egos could get in the way. 'There's a lot of organisational politics at play,' she added that companies like Meta need leadership that's willing to push back against internal resistance when needed. 'That takes a lot of willingness to stare down powerful people inside your company, who maybe don't want to lose and tell them that you actually don't want them to do what they want,' she said. She also questioned whether Mark Zuckerberg's personal involvement in the AI initiative would be enough to change the company's working style and foster recent $15 billion investment in ScaleAI has only added to its AI ambitions. As part of the deal, ScaleAI's Alexandr Wang now also serves as Meta's Chief AI Officer. With this move, Meta has made clear that it is serious about building advanced AI systems and competing with the likes of OpenAI and not everyone is convinced Meta's approach will work in the long run. OpenAI CEO Sam Altman, during a recent podcast appearance, criticised Meta's strategy of offering massive upfront financial packages. He revealed that Meta has offered OpenAI employees signing bonuses worth as much as $100 million. According to Altman, this kind of compensation-first approach doesn't create the right culture. 'The strategy of a ton of upfront guaranteed comp and that being the reason you tell someone to join... I don't think that's going to set up a great culture,' he and Toner may have had their differences in the past — with Toner having supported Altman's ouster from OpenAI last year — but both seem to agree that throwing money at talent is not enough in the rapidly evolving AI race.- Ends


News18
an hour ago
- News18
Google's AI Overviews Face Major Battle With EU Regulators After New Complaints
Last Updated: Google AI features like Overviews have taken over the search results with content offered by publishers and media companies. Google's AI moves have got everyone's attention, including its rivals. But this is another case of AI being run through with the help of data that is widely available across the internet. The new AI Overviews are effectively showing you content from across the platforms and summarising for an easy read. But the content is being sourced through publishers who have raised concerns and shared their issues with the European Union regulators this month. The company is investing big in AI, which is why you have features like Overviews, AI mode and more. Google AI mode was introduced at the I/O 2025 earlier this year and now people in US and India can try out the new Search avatar. But it seems the reach and knowledge about the new feature is limited, so Google is taking matters into its own hands and making it easily available through the main Google webpage. Google is using AI mode as its centre of attraction with its recent Doodle. New products need a lot of visibility and what better way than to use the best real estate on the web, which has to be the webpage where people go to search for answers and other materials. About the Author S Aadeetya First Published: July 07, 2025, 14:26 IST


Hindustan Times
2 hours ago
- Hindustan Times
Cloudflare blocks AI crawlers by default in a major win for web publishers
Cloudflare has rolled out a major policy update where new sites will now block AI crawlers by default. This is a critical turning point for content creators and publishers, who have long-faced bots scraping content without compensation or traffic returns. Cloudflare blocks AI crawlers; Safeguards publishers Historical context: How it used to work Traditionally, the web operated on a 'content-for-traffic' model: search engines crawled sites and sent visitors back via links. This model supported ad revenue and visibility. With the rise of generative AI, firms have harvested vast amounts of web content like text, images, code, without driving any traffic back to publishers. What Cloudflare is doing now New Cloudflare users are now opted‑out of AI scraper access by default. Owners must explicitly choose to allow bots. An optional Pay Per Crawl program is also in development: publishers can monetize access by charging AI companies per crawl. Major players like Time, Reddit, BuzzFeed, and The Atlantic have already expressed support. How this affects AI companies AI firms relying on large language models such as OpenAI, Google, Meta, and Anthropic will face new hurdles. They must now seek permission or negotiate access fees, reducing free access to diverse data. The rise of 'AI Labyrinth,' a honeypot of decoy pages, further complicates unregulated scraping. Technical and operational roadblocks AI scrapers pose challenges. They ignore existing protections like cause server strain, and increase bandwidth costs. Cloudflare's answer includes advanced bot detection powered by behavioural analysis and ML, plus the labyrinth tactic to confuse scrapers. Industry reactions and implications Content owners, including Universal Music Group and Reddit, have welcomed the change, calling it essential to sustainable web economics. Cloudflare's CEO Matthew Prince summed it up: 'If the Internet is going to survive the age of AI, we need to give publishers the control they deserve'. But critics worry that a permission-based web could limit AI innovation. New web marketplace on the horizon Cloudflare is exploring a content-access marketplace where AI firms pay for usage, transforming free scrapes into transactions. This could value content by data rather than clicks, offering publishers a fresh revenue channel. Cloudflare's move shifts control back to creators, forcing a rethink of how AI companies gather data. Publishers now have the power to block, charge, or allow bots. This shift may define the economic and ethical foundations of the AI-powered web.