Latest news with #MSL
Time of India
12 hours ago
- Business
- Time of India
Meta hires former Safe Superintelligence CEO Daniel Gross for his Superintelligence AI team
Meta CEO Mark Zuckerberg has recruited Daniel Gross , former CEO and co-founder of Safe Superintelligence Inc. , to join his newly formed Meta Superintelligence Labs (MSL) as the social media giant intensifies its artificial intelligence arms race against OpenAI and Google. Gross will work on AI products for the superintelligence group, according to his spokesperson. The high-profile hire comes as Meta restructures its AI division and launches an aggressive talent acquisition campaign, with Zuckerberg personally recruiting top researchers through meetings at his Lake Tahoe and Palo Alto homes. The recruitment of Gross follows Meta's announcement of MSL, led by former Scale AI CEO Alexandr Wang as chief AI officer after the company's $14.3 billion acquisition of his data-labeling startup. Former GitHub CEO Nat Friedman will co-lead the division alongside Wang, focusing on AI products and applied research. Gross's departure from Safe Superintelligence, where he served as CEO alongside co-founder Ilya Sutskever, leaves the $32 billion startup under new leadership. Sutskever, OpenAI's former chief scientist, will now serve as CEO while Daniel Levy becomes president. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 5 Books Warren Buffett Wants You to Read In 2025 Blinkist: Warren Buffett's Reading List Undo Zuckerberg's nine-figure pay packages lure Top AI executives from competitors The move represents another major coup for Zuckerberg's superintelligence initiative, which has already poached 11 prominent AI researchers from competitors including OpenAI, Anthropic, and Google DeepMind . Meta is offering unprecedented compensation packages reaching nine figures to secure top talent. Prior to SSI, Gross was a tech investor with Friedman and previously co-founded startup Cue, which Apple acquired in 2013. He led AI and search projects at Apple from 2013 to 2017 and served as a partner at Y Combinator. Zuckerberg believes Meta's strong advertising revenue provides a funding advantage over rivals dependent on external investment, enabling the company to build multi-gigawatt data centers for AI development. The CEO aims to achieve artificial general intelligence that surpasses human capabilities across all tasks. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
International Business Times
a day ago
- Business
- International Business Times
Mark Zuckerberg Announces Meta Superintelligence Labs with Star-studded Team
After creating a buzz about the superintelligence unit recently, including hiring Alexander Wang of Scale AI, Meta has announced a new AI division, Meta Superintelligence Labs (MSL), focused on AGI. The aim: to develop systems that can outperform humans in a wide range of pursuits. The move is one of the boldest bets yet for Meta Chief Executive Mark Zuckerberg in the future of technology. MSL will bring together the strengths of Meta's leading AI teams, such as its Fundamental AI Research (FAIR) organization, core product engineers, and foundational model creators. Meanwhile, a second sub-lab under MSL will focus on constructing next-generation large language models (LLMs), an effort that puts Meta in the same playing field as OpenAI's GPT and Gemini from Google DeepMind. However, it's the leadership at the top that is capturing a huge amount of attention. Meta has named its first Chief AI Officer, former Scale AI CEO Alexandr Wang. Zuckerberg has described him as "the most impressive founder of his generation." He'll share CEO duties with Nat Friedman, GitHub's former CEO, who will concentrate on product development and applied research. The recruitment process for MSL was personally overseen by Zuckerberg. He reportedly invited candidates to his home and extended high-value offers. Though the reports of a $100 million signing bonus have been debunked by Meta's CTO. Meta's recent $14.3 billion acquisition of Scale AI wasn't just financial; it also added a top-notch team and helped lay the groundwork for MSL. The company is also in discussions with smaller AI companies such as Runway and Perplexity AI, and is expected to acquire PlayAI, a startup developing voice working on voice replication using AI. Perhaps the most eye-popping aspect of this launch is the hiring spree. Meta has managed to poach some of the top A.I. researchers from rivals like OpenAI, Anthropic, and Google. Among its notable recruits, the NNPRC includes co-founder Trapit Bansal, who co-created the O-series of OpenAI models; Shuchao Bi, who worked on the O-series model GPT-4o's voice features; and Huiwen Chang, a big name in image generation from Google Research. Other names include Ji Lin, Joel Pobar, Jack Rae, Johan Schalkwyk, Pei Sun, Hongyu Ren, Jiahui Yu, and Shengjia Zhao-each bringing deep expertise in language, reasoning, vision, and multimodal AI systems. Zuckerberg said in a staff memo, "The pace of AI progress is accelerating. Superintelligence is in sight, and I believe this is the dawn of a new era for humanity." This bold move by Meta aligns with the strategies of its tech rivals. Microsoft recently spent $650 million buying the majority of the team left at Inflection AI, while Amazon has been quietly hiring significant talent from Adept and other startups. The race to control next-gen AI has certainly heated up, and Meta seems determined not to be left behind.
Yahoo
2 days ago
- Business
- Yahoo
Meta establishes MSL to accelerate AI development
Meta has established a new division called Meta Superintelligence Labs (MSL) to consolidate its AI initiatives. In an internal memo, Meta CEO Mark Zuckerberg announced the formation of the new unit. Alexandr Wang, the former CEO of Scale AI, will serve as the chief AI officer of MSL. Nat Friedman, the former CEO of GitHub, will co-lead the division, focusing on AI products and applied research. The new lab is expected to accelerate the development of artificial general intelligence and enhance revenue streams through the Meta AI app, image-to-video advertising tools, and smart glasses. In addition to Wang and Friedman, Meta has recruited 11 AI specialists, with backgrounds from organisations such as OpenAI, Anthropic, and Google. Notable hires include former DeepMind researchers Jack Rae and Pei Sun, as well as OpenAI alumni Jiahui Yu, Shuchao Bi, Shengjia Zhao, and Hongyu Ren, and Anthropic's Joel Pobar. "Meta is uniquely positioned to deliver superintelligence to the world," Zuckerberg stated in the internal memo, as reported by CNBC. 'We have a strong business that supports building out significantly more compute than smaller labs. We have deeper experience building and growing products that reach billions of people. 'We are pioneering and leading the AI glasses and wearables category that is growing very quickly. And our company structure allows us to move with vastly greater conviction and boldness. I'm optimistic that this new influx of talent and parallel approach to model development will set us up to deliver on the promise of personal superintelligence for everyone.' This strategic shift from Meta follows the recent senior staff departures and lacklustre reception of Meta's latest open-source Llama 4 model. The company also faces potential daily fines if its pay-or-consent model does not comply with European Union antitrust regulations. According to Reuters, major technology companies are projected to invest $320bn in AI in 2025. "Meta establishes MSL to accelerate AI development" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Time of India
2 days ago
- Business
- Time of India
Read Mark Zuckerberg's full memo to employees on Meta Superintelligence Labs: We are going to …
Facebook founder Mark Zuckerberg has officially announced the formation of Meta Superintelligence Labs . The new division aims to develop 'personal superintelligence for everyone' and will be led by former Scale AI CEO Alexandr Wang as its Chief AI Officer. This move follows Meta's recent $14.3 billion acquisition of Wang's data-labeling startup. Wang will co-lead MSL alongside former GitHub CEO Nat Friedman, who will focus on AI products and applied research. In a memo sent to employees, Zuckerberg also introduced the full team of 11 members who the company has hired from competitors like Google, OpenAI and Anthropic. Read Meta CEO's full memo to his employees: As the pace of AI progress accelerates, developing superintelligence is coming into sight. I believe this will be the beginning of a new era for humanity, and I am fully committed to doing what it takes for Meta to lead the way. Today I want to share some details about how we're organizing our AI efforts to build towards our vision: personal superintelligence for everyone. We're going to call our overall organization Meta Superintelligence Labs (MSL). This includes all of our foundations, product, and FAIR teams, as well as a new lab focused on developing the next generation of our models. Alexandr Wang has joined Meta to serve as our Chief AI Officer and lead MSL. Alex and I have worked together for several years, and I consider him to be the most impressive founder of his generation. He has a clear sense of the historic importance of superintelligence, and as co-founder and CEO he built ScaleAI into a fast-growing company involved in the development of almost all leading models across the industry. Nat Friedman has also joined Meta to partner with Alex to lead MSL, heading our work on AI products and applied research. Nat will work with Connor to define his role going forward. He ran GitHub at Microsoft, and most recently has run one of the leading AI investment firms. Nat has served on our Meta Advisory Group for the last year, so he already has a good sense of our roadmap and what we need to do. We also have several strong new team members joining today or who have joined in the past few weeks that I'm excited to share as well: Trapit Bansal -- pioneered RL on chain of thought and co-creator of o-series models at OpenAI. Shuchao Bi -- co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAI. Huiwen Chang -- co-creator of GPT-4o's image generation, and previously invented MaskGIT and Muse text-to-image architectures at Google Research Ji Lin -- helped build o3/o4-mini, GPT-4o, GPT-4 .1, GPT-4.5, 4o-imagegen, and Operator reasoning stack. Joel Pobar -- inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning. Jack Rae -- pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind . Hongyu Ren -- co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAI. Johan Schalkwyk -- former Google Fellow, early contributor to Sesame, and technical lead for Maya. Pei Sun -- post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo's perception models. Jiahui Yu -- co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAI, and co-led multimodal at Gemini. Shengjia Zhao -- co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAI. I'm excited about the progress we have planned for Llama 4.1 and 4.2. These models power Meta AI, which is used by more than 1 billion monthly actives across our apps and an increasing number of agents across Meta that help improve our products and technology. We're committed to continuing to build out these models. In parallel, we're going to start research on our next generation of models to get to the frontier in the next year or so. I've spent the past few months meeting top folks across Meta, other AI labs, and promising startups to put together the founding group for this small talent-dense effort. We're still forming this group and we'll ask several people across the AI org to join this lab as well. Meta is uniquely positioned to deliver superintelligence to the world. We have a strong business that supports building out significantly more compute than smaller labs. We have deeper experience building and growing products that reach billions of people. We are pioneering and leading the AI glasses and wearables category that is growing very quickly. And our company structure allows us to move with vastly greater conviction and boldness. I'm optimistic that this new influx of talent and parallel approach to model development will set us up to deliver on the promise of personal superintelligence for everyone. We have even more great people at all levels joining this effort in the coming weeks, so stay tuned. I'm excited to dive in and get to work. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Time of India
2 days ago
- Business
- Time of India
Inside Meta's Superintelligence Lab: The scientists Mark Zuckerberg handpicked; the race to build real AGI
Mark Zuckerberg has rarely been accused of thinking small. After attempting to redefine the internet through the metaverse, he's now set his sights on a more ambitious frontier: superintelligence—the idea that machines can one day match, or even surpass, the general intelligence of humans. To that end, Meta has created an elite unit with a name that sounds like it belongs in a sci-fi script: Meta Superintelligence Lab (MSL). But this isn't fiction. It's a real-world, founder-led moonshot, powered by aggressive hiring, audacious capital, and a cast of technologists who've quietly shaped today's AI landscape. This is not just a story of algorithms and GPUs. It's about power, persuasion, and the elite brains Zuckerberg believes will push Meta into the next epoch of intelligence. The architects: Who's running Meta's AGI Ambitions? Zuckerberg has never been one to let bureaucracy slow him down. So he didn't delegate the hiring for MSL—he did it himself. The three minds now driving this initiative are not traditional corporate executives. They are product-obsessed builders, technologists who operate with startup urgency and almost missionary belief in Artificial general intelligence (AGI). Name Role at MSL Past Lives Education Alexandr Wang Chief AI Officer, Head of MSL Founder, Scale AI MIT dropout (Computer Science) Nat Friedman Co-lead, Product & Applied AI CEO, GitHub; Microsoft executive B.S. Computer Science & Math, MIT Daniel Gross (Joining soon, role TBD) Co-founder, Safe Superintelligence; ex-Apple, YC No degree; accepted into Y Combinator at 18 Wang, once dubbed the world's youngest self-made billionaire, is a data infrastructure prodigy who understands what it takes to feed modern AI. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like My baby is in so much pain, please help us? Donate For Health Donate Now Undo Friedman, a revered figure in the open-source community, knows how to productise deep tech. And Gross, who reportedly shares Zuckerberg's intensity, brings a perspective grounded in AI alignment and risk. Together, they form a high-agency, no-nonsense leadership core—Zuckerberg's version of a Manhattan Project trio. The Scientists: 11 defections that shook the AI world If leadership provides the vision, the next 11 are the ones expected to engineer it. In a hiring spree that rattled OpenAI, DeepMind, and Anthropic, Meta recruited some of the world's most sought-after researchers—those who helped build GPT-4, Gemini, and several of the most important multimodal models of the decade. Name Recruited From Expertise Education Jack Rae DeepMind LLMs, long-term memory in AI CMU, UCL Pei Sun DeepMind Structured reasoning (Gemini project) Tsinghua, CMU Trapit Bansal OpenAI Chain-of-thought prompting, model alignment IIT Kanpur, UMass Amherst Shengjia Zhao OpenAI Alignment, co-creator of ChatGPT, GPT-4 Tsinghua, Stanford Ji Lin OpenAI Model optimization, GPT-4 scaling Tsinghua, MIT Shuchao Bi OpenAI Speech-text integration Zhejiang, UC Berkeley Jiahui Yu OpenAI/Google Gemini vision, GPT-4 multimodal USTC, UIUC Hongyu Ren OpenAI Robustness and safety in LLMs Peking Univ., Stanford Huiwen Chang Google Muse, MaskIT – next-gen image generation Tsinghua, Princeton Johan Schalkwyk Sesame AI/Google Voice AI, led Google's voice search efforts Univ. of Pretoria Joel Pobar Anthropic/Meta Infrastructure, PyTorch optimization QUT (Australia) This roster isn't just impressive on paper—it's a coup. Several were responsible for core components of GPT-4's reasoning, efficiency, and voice capabilities. Others led image generation innovations like Muse or built memory modules crucial for scaling up AI's attention spans. Meta's hires reflect a global brain gain: most completed their undergrad education in China or India, and pursued PhDs in the US or UK. It's a clear signal to students—brilliance isn't constrained by geography. What Meta offered: Money, mission, and total autonomy Convincing this calibre of talent to switch sides wasn't easy. Meta offered more than mission—it offered unprecedented compensation. • Some were offered up to $300 million over four years. • Sign-on bonuses of $50–100 million were on the table for top OpenAI researchers. • The first year's payout alone reportedly crossed $100 million for certain hires. This level of compensation places them above most Fortune 500 CEOs—not for running a company, but for building the future. It's also part of a broader message: Zuckerberg is willing to spend aggressively to win this race. OpenAI's Sam Altman called it "distasteful." Others at Anthropic and DeepMind described the talent raid as 'alarming.' Meta, meanwhile, has made no apologies. In the words of one insider: 'This is the team that gets to skip the red tape. They sit near Mark. They move faster than anyone else at Meta.' The AGI problem: Bigger than just scaling up But even with all the talent and capital in the world, AGI remains the toughest problem in computer science. The goal isn't to make better chatbots or faster image generators. It's to build machines that can reason, plan, and learn like humans. Why is that so hard? • Generalisation: Today's models excel at pattern recognition, not abstract reasoning. They still lack true understanding. • Lack of theory: There is no grand unified theory of intelligence. Researchers are working without a blueprint. • Massive compute: AGI may require an order of magnitude more compute than even GPT-4 or Gemini. • Safety and alignment: Powerful models can behave in unexpected, even dangerous ways. Getting them to want what humans want remains an unsolved puzzle. To solve these, Meta isn't just scaling up—it's betting on new architectures, new training methods, and new safety frameworks. It's also why several of its new hires have deep expertise in AI alignment and multimodal reasoning. What this means for students aiming their future in AI This story isn't just about Meta. It's about the direction AI is heading—and what it takes to get to the frontier. If you're a student in India wondering how to break into this world, take notes: • Strong math and computer science foundations matter. Most researchers began with robust undergrad training before diving into AI. • Multimodality, alignment, and efficiency are key emerging areas. Learn to work across language, vision, and reasoning. • Internships, open-source contributions, and research papers still open doors faster than flashy resumes. • And above all, remember: AI is as much about values as it is about logic. The future won't just be built by engineers—it'll be shaped by ethicists, philosophers, and policy thinkers too. Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
