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Time of India
a day ago
- Business
- Time of India
Meet Trapit Bansal, Meta's new AI superintelligence team hire - Is Meta poaching top talent from OpenAI?
Meta has poached Trapit Bansal, a key AI researcher from OpenAI who contributed significantly to their early AI reasoning and reinforcement learning efforts. Bansal's move to Meta's new AI superintelligence team underscores the intense competition for AI talent. This team aims to develop next-generation AI reasoning models, rivaling those of OpenAI and Google. Tired of too many ads? Remove Ads Ex-OpenAI Researcher Trapit Bansal Joins Meta A Key Figure in OpenAI's Reasoning Work Tired of too many ads? Remove Ads Joining a Powerhouse Team at Meta Mark Zuckerberg's AI Hiring Spree Tired of too many ads? Remove Ads FAQs Meta has made another bold move in the AI talent wars by hiring Trapit Bansal , an AI researcher who played a pivotal role in shaping OpenAI 's early efforts in AI reasoning and reinforcement learning, according to a report by who joined OpenAI in 2022, is now among the most publicly visible names to leave the firm and join Meta's brand-new AI superintelligence team , an initiative that's fast attracting all the top minds in the field of AI, as per the spokesperson Kayla Wood confirmed the news to TechCrunch that Bansal had departed OpenAI, while even Bansal's LinkedIn page mentions that he has left OpenAI in June this year, according to the TechCrunch READ: After Canada, now US: College graduates face the toughest job market in decades – what's gone wrong? During his time at OpenAI, Bansal worked closely with co-founder Ilya Sutskever and played an instrumental role in the development of the company's foundational AI reasoning model, o1, as reported by growing interest in AI reasoning models , especially as Meta's competitors like OpenAI's o3 and DeepSeek's R1 hit new performance milestones, makes Bansal's move even more impactful, according to the READ: Karoline Leavitt says no enriched uranium was removed from Iranian nuclear sites prior to US attacks Bansal brings his expertise to an impressive team at Meta's AI superintelligence lab, which includes former Scale AI CEO Alexandr Wang, ex-Google DeepMind researcher Jack Rae, and machine learning veteran Johan Schalkwyk, as per the report. Bloomberg and The Wall Street Journal reported that several other former OpenAI researchers, Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai, have recently joined Meta as mission of the lab is to develop next-gen AI reasoning models that may match or exceed OpenAI and Google, however, Meta has not yet put out a public AI reasoning model, as reported by READ: Last chance to claim your Fortnite refund – Act fast or risk missing out on free cash Meta CEO Mark Zuckerberg has also been making compensation deals in the $100 million range to lure top AI talent to build his new AI team, as reported by TechCrunch. However, it is not known what Bansal was offered to join in this deal, as reported by has also reportedly tried to acquire startups with heavy-hitting AI research labs, like Sutskever's Safe Superintelligence, Mira Murati's Thinking Machines Labs, and Perplexity, to further fill out its new AI unit, but those talks never progressed to a final stage, according to the a recent podcast, OpenAI CEO Sam Altman asserted that Meta has been trying to poach his startup's top talent, but highlighted that 'none of our best people have decided to take him up on that,' quoted an AI researcher who helped OpenAI develop its first major reasoning model and worked closely with Ilya a newly formed unit aimed at developing advanced AI reasoning models, similar to those at OpenAI and Google.
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Business Standard
2 days ago
- Business
- Business Standard
Meta recruits leading OpenAI researcher Trapit Bansal for AI reasoning lab
Meta has onboarded a prominent OpenAI researcher, Trapit Bansal, to work on advanced aritificial intelligence (AI) reasoning models within its recently established AI superintelligence team, according to a report by TechCrunch. Trapit Bansal had been with OpenAI since 2022 and played a major role in launching the company's reinforcement learning research, working closely with co-founder Ilya Sutskever. He is named as one of the original contributors to OpenAI's first AI reasoning model, known as o1. His LinkedIn profile indicates that he left OpenAI in June. OpenAI spokesperson Kayla Wood confirmed to TechCrunch that Bansal had indeed exited the organisation. Boost to Meta's AI superintelligence team Bansal is expected to significantly strengthen Meta's new AI superintelligence group, which already includes notable figures such as former Scale AI CEO Alexandr Wang. The team is also in discussions to bring in former GitHub CEO Nat Friedman and Safe Superintelligence co-founder Daniel Gross. His expertise could help Meta develop a cutting-edge AI reasoning model to compete with leading offerings like OpenAI's o3 and DeepSeek's R1. At present, Meta does not have a publicly available AI reasoning model. Zuckerberg's high-profile hiring strategy In recent months, Meta CEO Mark Zuckerberg has aggressively recruited top AI talent, reportedly offering compensation packages as high as $100 million. While Bansal's offer remains undisclosed, his decision to join indicates the success of Zuckerberg's strategy in attracting leading AI researchers. According to The Wall Street Journal, Bansal will join other recent hires from OpenAI — Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai — at Meta. The team also includes Jack Rae, formerly of Google DeepMind, and Johan Schalkwyk, previously with startup Sesame, according to a Bloomberg report. Attempts to acquire AI startups fell through In a bid to expand its AI capabilities further, Meta also explored acquiring startups known for their AI research, including Safe Superintelligence (co-founded by Sutskever), Mira Murati's Thinking Machines Labs, and Perplexity. However, none of these talks reached a final agreement. On a recent podcast, OpenAI CEO Sam Altman commented on Meta's recruitment attempts, stating, 'None of our best people have decided to take him up on that.' AI reasoning a critical focus for Meta Developing powerful AI reasoning models is essential for Meta's new unit. Over the past year, firms such as OpenAI, Google, and DeepSeek have released high-performing models that can tackle complex tasks by reasoning through problems before producing answers. This approach, which makes use of additional computation time and resources, has led to improved performance both in benchmarks and in real-world applications. Future ambitions for Meta's AI lab Meta's AI superintelligence group is expected to become a crucial part of its wider operations, similar to the role DeepMind plays within Google. The company has plans to develop AI agents for enterprise use, led by Clara Shih, the former Salesforce CEO of AI.
The Hindu
11-06-2025
- Business
- The Hindu
France's Mistral unveils its first 'reasoning' AI model
French artificial intelligence startup Mistral on Tuesday announced a so-called "reasoning" model it said was capable of working through complex problems, following in the footsteps of top US developers. Available immediately on the company's platforms as well as the AI platform Hugging Face, the Magistral "is designed to think things through - in ways familiar to us," Mistral said in a blog post. The AI was designed for "general purpose use requiring longer thought processing and better accuracy" than its previous generations of large language models (LLMs), the company added. Like other "reasoning" models, Magistral displays a so-called "chain of thought" that purports to show how the system is approaching a problem given to it in natural language. This means users in fields like law, finance, healthcare and government would receive "traceable reasoning that meets compliance requirements" as "every conclusion can be traced back through its logical steps", Mistral said. The company's claim gestures towards the challenge of so-called 'interpretability,' or working out how AI systems arrive at a given response. Since they are "trained" on gigantic corpuses of data rather than directly programmed by humans, much behaviour by AI systems remains impenetrable even to their creators. Mistral also vaunted improved performance in software coding and creative writing by Magistral. Competing "reasoning" models include OpenAI's o3, some versions of Google's Gemini and Anthropic's Claude, or Chinese challenger DeepSeek's R1. The idea that AIs can "reason" was called into question this week by Apple, the tech giant that has struggled to match achievements by leaders in the field. Several Apple researchers published a paper called "The Illusion of Thinking" that claimed to find "fundamental limitations in current models" which "fail to develop generalisable reasoning capabilities beyond certain complexity thresholds".
The Star
11-06-2025
- Business
- The Star
France's Mistral unveils its first 'reasoning' AI model
The AI was designed for "general purpose use requiring longer thought processing and better accuracy" than its previous generations of large language models (LLMs), the company added. — Pixabay PARIS: French artificial intelligence startup Mistral on Tuesday announced a so-called "reasoning" model it said was capable of working through complex problems, following in the footsteps of top US developers. Available immediately on the company's platforms as well as the AI platform Hugging Face, the Magistral "is designed to think things through – in ways familiar to us," Mistral said in a blog post. The AI was designed for "general purpose use requiring longer thought processing and better accuracy" than its previous generations of large language models (LLMs), the company added. Like other "reasoning" models, Magistral displays a so-called "chain of thought" that purports to show how the system is approaching a problem given to it in natural language. This means users in fields like law, finance, healthcare and government would receive "traceable reasoning that meets compliance requirements" as "every conclusion can be traced back through its logical steps", Mistral said. The company's claim gestures towards the challenge of so-called "interpretability" – working out how AI systems arrive at a given response. Since they are "trained" on gigantic corpuses of data rather than directly programmed by humans, much behaviour by AI systems remains impenetrable even to their creators. Mistral also vaunted improved performance in software coding and creative writing by Magistral. Competing "reasoning" models include OpenAI's o3, some versions of Google's Gemini and Anthropic's Claude, or Chinese challenger DeepSeek's R1. The idea that AIs can "reason" was called into question this week by Apple – the tech giant that has struggled to match achievements by leaders in the field. Several Apple researchers published a paper called "The Illusion of Thinking" that claimed to find "fundamental limitations in current models" which "fail to develop generalizable reasoning capabilities beyond certain complexity thresholds". – AFP
Time of India
11-06-2025
- Business
- Time of India
France's Mistral unveils its first 'reasoning' AI model
French artificial intelligence startup Mistral on Tuesday announced a so-called "reasoning" model it said was capable of working through complex problems, following in the footsteps of top US immediately on the company's platforms as well as the AI platform Hugging Face, the Magistral "is designed to think things through -- in ways familiar to us," Mistral said in a blog AI was designed for "general purpose use requiring longer thought processing and better accuracy" than its previous generations of large language models (LLMs), the company other "reasoning" models, Magistral displays a so-called "chain of thought" that purports to show how the system is approaching a problem given to it in natural language. This means users in fields like law, finance, healthcare and government would receive "traceable reasoning that meets compliance requirements" as "every conclusion can be traced back through its logical steps", Mistral said. The company's claim gestures towards the challenge of so-called "interpretability" -- working out how AI systems arrive at a given response. Since they are "trained" on gigantic corpuses of data rather than directly programmed by humans, much behaviour by AI systems remains impenetrable even to their creators. Mistral also vaunted improved performance in software coding and creative writing by Magistral. Competing "reasoning" models include OpenAI 's o3, some versions of Google's Gemini and Anthropic's Claude, or Chinese challenger DeepSeek's R1. The idea that AIs can "reason" was called into question this week by Apple -- the tech giant that has struggled to match achievements by leaders in the field. Several Apple researchers published a paper called "The Illusion of Thinking" that claimed to find "fundamental limitations in current models" which "fail to develop generalizable reasoning capabilities beyond certain complexity thresholds".
