Yann LeCun confirms world models AI startup seeking $3.5 billion valuation before launch

Reviewed byNidhi Govil

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Renowned AI scientist Yann LeCun has confirmed his new startup, Advanced Machine Intelligence (AMI) Labs, which is reportedly seeking €500 million in funding at a €3 billion valuation. The company will focus on developing world models—AI systems that understand the physical world rather than just predict text—with applications in robotics, healthcare, and transportation.

Yann LeCun Confirms Advanced Machine Intelligence Startup

Renowned AI scientist Yann LeCun confirmed on Thursday that he has launched a new AI startup called Advanced Machine Intelligence (AMI) Labs, ending weeks of speculation about his next move after departing Meta

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. The Turing Award winner will serve as executive chairman rather than CEO, tapping Alexandre LeBrun, co-founder and former CEO of medical transcription startup Nabla, to lead the company

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. Meta's outgoing AI chief is positioning the venture to challenge the current dominance of large language models with a fundamentally different approach to artificial intelligence.

Source: Seeking Alpha

Source: Seeking Alpha

The startup is reportedly seeking €500 million (approximately $586 million) in funding at a €3 billion valuation (about $3.5 billion) right out of the gate, before even launching a product, according to the Financial Times

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. While this high AI startup valuation might seem audacious, it reflects the current market dynamics where VCs are pouring massive capital into ventures led by world-recognized AI scientists. For context, former OpenAI CTO Mira Murati's startup, Thinking Machines Lab, secured a $12 billion valuation for its seed round, while Ilya Sutskever raised $2 billion for Safe Superintelligence at a $32 billion valuation

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Building AI Systems Based on World Models

AMI Labs is developing next-generation AI systems that understand the physical world through what are known as world models

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. This represents a significant departure from current LLMs, which primarily predict text based on patterns in language data. World models aim to comprehend physics, maintain persistent memory, reason through complex scenarios, and plan action sequences by learning from videos and spatial data rather than just text

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. The approach builds on research Yann LeCun pursued at Meta's Facebook AI Research (FAIR) lab, which he founded in 2013

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Source: PYMNTS

Source: PYMNTS

LeCun has been vocal about the limitations of scaling LLMs, arguing during an appearance on Alex Kantrowitz's Big Technology podcast that "we are not going to get to human-level AI just by scaling LLMs" because they simply predict text rather than truly understand the world

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. World model creators believe this architecture is the answer to LLMs' structural hallucination problems, as LLMs can't be trusted never to fabricate information due to their non-deterministic, creative nature

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. The systems AMI Labs plans to develop are intended for applications in robotics, transportation, and healthcare

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Strategic Leadership and Paris Headquarters

The choice of Alexandre LeBrun as CEO brings significant expertise to AMI Labs. LeBrun has been building multi-modal AI since the early 2010s at Nuance Communications, which originally powered Apple's Siri

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. He founded and sold several natural language startups, including one to Facebook, then ran Facebook's AI division before founding Nabla in 2018. Under his leadership, Nabla raised $120 million in total funding, including a $70 million Series C in June, and has "more than tripled our live ARR this year. Up next to $1B!" according to LeBrun

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AMI Labs plans to establish its headquarters in Paris early next year, with LeCun explaining at the AI-Pulse conference that "Silicon Valley is completely hypnotized by the current models of generative AI. To pursue this kind of new research, you have to go outside the Valley -- to Paris"

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. The French computer scientist, who won the 2018 Turing Award alongside Geoffrey Hinton and Yoshua Bengio, has long advocated for European AI talent and convinced Meta to open its FAIR lab in Paris in 2015

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Meta Partnership and Market Competition

While Meta will not invest directly in the startup, the companies plan to forge a partnership that allows LeCun to continue his research while maintaining ties to his former employer

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. The partnership would give Meta access to the technology for commercial use

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. Nabla has also entered into a strategic research partnership with AMI Labs, receiving early access to world model technologies to develop agentic AI systems for healthcare intended to meet FDA certification requirements

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LeCun's departure from Meta after 12 years—five as founding director of Facebook AI Research and seven as chief AI scientist—comes amid broader changes to the company's AI strategy under CEO Mark Zuckerberg

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. Meta has shifted focus toward faster product development to compete with companies like OpenAI and Google, scaling back longer-term research at FAIR and laying off about 600 staff from the group in October

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. The move coincided with Meta's strategic pivot toward more powerful LLM-based models under new chief AI officer Alexandr Wang, the 20-something founder of Scale AI

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Valuation Concerns and Future Implications

The spectacular valuation for a pre-revenue startup has amplified concerns about an AI investment bubble, with industry leaders warning that excitement around AI may be outpacing business fundamentals

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. LeCun's fundraising could test whether even the most respected names in the field can command premium valuations without proven commercial traction. The startup faces competition from well-funded rivals like Google DeepMind and Fei-Fei Li's World Labs, which raised $230 million at a $1 billion valuation in August 2024

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. European competitors include Black Forest Labs, valued at $4 billion, and Quantexa at $2.6 billion

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Losing the scientist who helped build much of Meta's early credibility in the artificial intelligence space could cause greater skepticism among investors, particularly as Meta's AI spending draws scrutiny

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. The company's third-quarter expenses climbed 32% year over year to $30.7 billion, with capital expenditures hitting a record $19.4 billion and projected full-year capex of $70 billion to $72 billion

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. For AI professionals and investors, AMI Labs represents a bet that superintelligence will emerge not from scaling existing language models but from systems that observe and interact with the physical environment like humans do, potentially transforming robotics, transportation, and healthcare in ways current LLMs cannot.

Source: Benzinga

Source: Benzinga

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