Yann LeCun, Meta’s chief AI scientist, is reportedly in early talks to raise €500 million for his new startup, Advanced Machine Intelligence Labs (AMI), which would value the company at around €3 billion before its official launch. This groundbreaking fundraising effort represents one of the most significant departures from Big Tech to entrepreneurship in AI history.
The new venture, Advanced Machine Intelligence Labs, is set to officially launch in January, with LeCun taking on the role of executive chair. What makes this Yann LeCun new AI startup particularly compelling is its revolutionary approach to artificial intelligence development.
The Vision Behind Yann LeCun New AI Startup
LeCun’s startup aims to build “systems that understand the physical world, have persistent memory, can reason, and can plan complex action sequences”. Unlike current large language models that rely primarily on text data, this Yann LeCun new AI startup focuses on developing “world models.”
A world model is an AI system that develops an internal understanding of its environment so it can simulate cause-and-effect scenarios to predict outcomes. The significance of this approach cannot be overstated. While LLMs are trained on an amount of text it would take 450,000 years to read, a four-year-old child who has been awake for 16,000 hours has processed, with their eyes or by touching, 1.4 x 10^14bytes of sensory data about the world.
The new company will focus on “world models”, systems that can understand the physical world instead of merely generating text like today’s large-language models. Speaking at an event in Paris earlier this month LeCun said world models, which learn from text and video but also spatial data like actions, could open up “a world of applications” in fields like robotics.
Strategic Leadership and Yann LeCun €500M Funding
LeCun, who is set to leave Meta at the end of the year, is also considering appointing Alexandre LeBrun, the founder of French health tech startup Nabla, as the CEO of his new venture. This strategic partnership adds healthcare expertise to the Yann LeCun new AI startup.
The company will aim to build next-generation AI systems that can comprehend the physical world, targeting uses in areas such as robotics and transportation. LeCun’s new startup aims to develop a next generation of superintelligent AI by creating “world models” that comprehend the physical environment.
The Yann LeCun €500M funding round reflects unprecedented investor confidence. Strong early funding interest and a multibillion-euro valuation before product launch may sharpen debate about an emerging AI bubble. Industry veterans have warned that enthusiasm for artificial intelligence often outpaces proven business fundamentals.
The Meta AI Chief New Company Origins
The departure comes at a time of disarray within Meta’s AI unit, which was dramatically overhauled this year after the company released the fourth version of its Llama open-source large language model to a disappointing response from developers. That spurred CEO Mark Zuckerberg to spend billions of dollars recruiting top AI talent, including a June $14.5 billion investment in Scale AI to lure the startup’s 28-year-old CEO Alexandr Wang, now Meta’s new chief AI officer.
This Meta AI chief new company emerges from philosophical differences. Since then, LeCun’s approach to AI development has drifted from the direction taken by Meta and the rest of Silicon Valley. Meta and other tech companies like OpenAI have spent billions of dollars in developing so-called foundation models, particularly LLMs, as part of their efforts to advance state-of-the-art computing. However, LeCun and other deep-learning experts, have said that these current AI models, while powerful, have a limited understanding of the world.
Those layoffs and other cuts to FAIR over the years, coupled with a new AI leadership team, played a major role in LeCun’s decision to leave, according to people familiar with the matter. Additionally, LeCun rarely interacted with Wang nor TBD Labs unit, which is comprised of many of the headline-grabbing hires Zuckerberg made over the summer.
European AI General Intelligence Focus
The Yann LeCun new AI startup represents a significant shift toward European AI general intelligence development. AMI Labs will be a global entity with research organisations around the world and particularly in Europe. LeCun has been a long-time advocate for European AI talent and startups, convincing Meta to open FAIR in Paris in 2015.
This European AI general intelligence approach differs from American tech giants. Yann LeCun, the artificial intelligence pioneer who is leaving Meta Platforms Inc. at the end of the year, said Meta will not financially back his new AI company and hinted it could be based in Paris.
Yann LeCun Open Source AI Philosophy
The Yann LeCun open source AI approach remains central to his vision. While LeCun was always a champion of sharing AI research and related technologies to the open-source community, Wang and his team favor a more closed approach amid intense competition from rivals like OpenAI and Google.
This Yann LeCun open source AI philosophy extends to his startup plans. LeCun said “As I envision it, AMI will have far-ranging applications in many sectors of the economy, some of which overlap with Meta’s commercial interests, but many of which do not. Pursuing the goal of AMI in an independent entity is a way to maximize its broad impact”.
Technical Innovation and World Models
The technical foundation of this Yann LeCun new AI startup centers on revolutionary world model technology. World models will allow future computer scientists to build “systems that can plan actions—possibly hierarchically—so as to fulfill an objective, and systems that can reason”.
In what LeCun says is classical AI—such as the software used in a search engine—all problems are reducible to optimization. His world model will look at the current state of the world, and seek compatibility with some different state by finding efficient solutions.
AMI Labs will build on LeCun’s efforts at Meta to create a new AI architecture that can learn about the world via videos and spatial data instead of just language, has persistent memory, can reason and can plan complex action sequences.
Market Competition and AI Bubble Concerns
The Yann LeCun €500M funding occurs amid growing AI market concerns. To fund this vision, LeCun is in early talks to raise €500 million, valuing the company at €3 billion pre-launch-a staggering figure for a firm with no product, revenue, or public roadmap. However, AMIL’s focus on “superintelligent” world models-a concept still in theoretical stages-lacks immediate commercial applications. This creates a disconnect between its valuation and tangible value, a hallmark of speculative bubbles.
LeCun joins a growing cohort of AI scientists moving into entrepreneurial roles, along with former OpenAI Chief Technology Officer Mira Murati who founded Thinking Machines Lab, which is valued at about $10 billion.
The competitive landscape shows significant investor interest. In April, OpenAI co-founder Ilya Sutskever secured $2 billion for his AI startup, Safe Superintelligence, giving the company a $32 billion valuation even before launching a product. In May, LeCun argued that AI won’t advance simply by increasing data and computing power, emphasizing that systems must learn to understand the physical world rather than relying solely on scale(-).
Industry Impact and Future Implications
This Meta AI chief new company departure signals broader industry shifts. LeCun’s planned departure highlights the difficult balance facing big tech companies in AI development. While Meta scrambles to compete in today’s LLM race, it risks losing the long-term research talent that could define tomorrow’s AI breakthroughs. His exit to pursue world models independently suggests that the most innovative AI research might increasingly happen outside the constraints of corporate quarterly pressures.
Strong funding commitments and a high valuation before launch could fuel fears of an AI bubble after industry leaders warned that enthusiasm for AI may have outstripped business fundamentals.
The Yann LeCun new AI startup represents more than just another tech company. The company’s technical ambition centers on world models, systems built to reason about the physical environment rather than relying solely on pattern matching across large datasets. Supporters of the approach see promise for fields such as robotics, autonomous transport, and embodied AI systems that interact directly with real-world constraints.
Healthcare Applications and Partnerships
The European AI general intelligence focus includes significant healthcare applications. In a statement, Nabla said it will gain “first access” to AMI’s world model technologies, enabling the company to “become the first to bring FDA-certifiable agentic AI systems to healthcare”.
This partnership demonstrates practical applications for the Yann LeCun open source AI philosophy in regulated industries. Healthcare represents a critical testing ground for world model technology, where understanding physical reality becomes essential for patient safety.
Investment Climate and Venture Capital Interest
The Yann LeCun €500M funding round reflects changing venture capital priorities. While the potential for AI to transform industries is undeniable, the current valuation landscape reflects a market driven more by optimism than evidence. For investors, the lesson from the dot-com era remains relevant: speculative bets can yield extraordinary returns-but they can also lead to catastrophic losses. As the AI bubble continues to inflate, due diligence and a focus on tangible ROI will be essential to navigating the risks ahead.
The Yann LeCun new AI startup emerges during unprecedented AI investment activity, positioning itself uniquely through its world model approach and European AI general intelligence focus.
Conclusion: Reshaping AI’s Future
Yann LeCun’s departure from Meta to establish his €500 million AI startup represents a pivotal moment in artificial intelligence history. This bold venture challenges conventional approaches to AI development, emphasizing physical world understanding over pure language processing.
The Yann LeCun new AI startup’s focus on world models, combined with its European AI general intelligence positioning and commitment to open-source principles, could fundamentally reshape how we approach artificial intelligence. While concerns about AI bubble valuations persist, the technical innovation potential and LeCun’s proven track record suggest this venture will significantly impact the industry’s future trajectory.
As we await the January launch of Advanced Machine Intelligence Labs, the AI community watches with anticipation to see how this pioneering approach to world models will challenge existing paradigms and advance the quest for truly intelligent machines.
Frequently Asked Questions
What is Yann LeCun’s new AI startup called?
Yann LeCun’s new AI startup is called Advanced Machine Intelligence Labs (AMI), which is set to launch in January 2025 with LeCun as executive chair.
How much funding is Yann LeCun raising for his new AI startup?
Yann LeCun is reportedly in talks to raise €500 million for his new AI startup, which would value the company at approximately €3 billion before its official launch.
What are world models in AI?
World models are AI systems that develop an internal understanding of their environment to simulate cause-and-effect scenarios and predict outcomes, learning from visual and spatial data rather than just text.
Why is Yann LeCun leaving Meta?
LeCun is leaving Meta due to philosophical differences about AI development direction, organizational changes that limited his role, and his desire to pursue world model research independently.
Where will Yann LeCun’s new AI startup be based?
The startup will be a global entity with research organizations worldwide, particularly in Europe, and LeCun has hinted it could be based in Paris.
Who will be the CEO of Yann LeCun’s new AI startup?
Alexandre LeBrun, founder of French health tech startup Nabla, is reportedly being considered as CEO of the new venture.
What applications will Yann LeCun’s AI startup focus on?
The startup will target applications in robotics, autonomous transportation, healthcare, and other sectors requiring AI systems that understand the physical world and can reason about complex scenarios.
