AMI Labs News Tracker

Jihan Yang, a leading emerging voice in multimodal artificial intelligence, is advancing the frontier of machine learning as a postdoctoral associate at New York University’s Courant Institute of Mathematical Sciences.

Xinyi Wan, a seasoned machine learning researcher and systems engineer, has joined AMI Labs as a Member of Research Staff, bringing with him over a decade of experience at the intersection of large-scale infrastructure and applied artificial intelligence.

A leading AI researcher with publications at top conferences (CVPR, ICCV, ECCV, ICLR) and significant contributions at FAIR—including V-JEPA 2 and widely adopted open-source models—has joined AMI Labs to advance human-like visual understanding in machines. At AMI, he brings deep expertise in self-supervised learning, multimodal AI, and large-scale applied systems to push the frontier of accessible and intelligent AI.

As Nabla gains international attention through its close ties to Yann LeCun’s AMI, one of the most ambitious AI research labs, Soffiati joins at a pivotal moment in the shift toward next-generation, agentic healthcare systems.

A breakthrough in world models: LeCun’s team shows how simpler, smaller AI systems can learn to predict reality and still be faster, cheaper, and without the fragile tricks that once made JEPAs so hard to train.

LeWorldModel is a new JEPA-based world model that learns stable latent representations directly from pixels using just two loss terms. It avoids collapse without complex tricks, improves efficiency and speed, and enables meaningful physical reasoning in latent space.

AMI Labs co-founders Saining Xie sits for a 7-hour marathon interview.

AMI Labs has posted a new HR Ops position within the General and Administration department, based in Paris. The role reflects the company's continued organisational build-out following its $1 billion fundraise in early 2026. Applications can be submitted directly via the AMI Labs Ashby jobs board.

A designer explores a critical gap in AI world models related to how systems handle iconic or symbolic representations, highlighting a blind spot in current advanced machine intelligence systems. The article presents field observations on how AI systems struggle to process and understand iconic visual or conceptual elements compared to other types of data. This research contributes to understanding limitations in AI perception and reasoning that designers and developers should account for when building intelligent systems.

AMI Labs explores new approaches to redefining intelligence, challenging conventional frameworks in machine intelligence development. The initiative suggests a shift in how advanced machine intelligence systems are conceptualized and evaluated.

AMI Labs raised $1 billion in funding while positioning itself against the generative AI trend that dominates the broader AI industry. The startup's contrarian approach suggests a focus on alternative AI methodologies rather than the large language models and generative systems that have become mainstream.

Yann LeCun has raised $1 billion in funding to establish AMI Labs (Advanced Machine Intelligence), focused on developing AI systems with improved understanding of physical world dynamics and reasoning. The funding reflects growing investment in foundational AI research aimed at moving beyond current language models toward more physically-grounded artificial intelligence.

# Summary AMI Labs, a startup founded by renowned AI researcher Yann LeCun, has raised $1.03 billion in funding to develop world models—AI systems designed to understand and predict how the physical world works. The company aims to advance machine intelligence by training these sophisticated models.

# Summary AMI Labs (Advanced Machine Intelligence), founded by renowned AI researcher Yann LeCun, has secured a record $1 billion seed funding round. The Paris-based startup's exceptional early-stage capital raises questions about the competitive landscape in AI development and venture funding priorities.

Yann LeCun has secured $1 billion in funding for AMI Labs to advance research into world models, positioning this approach as a correction to current directions in AI development. The funding reflects LeCun's argument that the AI industry has fundamentally misunderstood key aspects of artificial intelligence advancement.

# Summary Yann LeCun, a veteran from Meta, has secured $1 billion in funding for his AI startup AMI Labs (Advanced Machine Intelligence). The substantial investment underscores growing investor confidence in LeCun's artificial intelligence venture and his vision for advancing machine intelligence technology.

# AMI Labs Secures $1 Billion Funding with New CEO Yann LeCun's AI startup, AMI Labs (Advanced Machine Intelligence), has announced a new CEO and secured $1 billion in funding. The leadership change and capital raise mark a significant milestone for the company as it advances its machine intelligence initiatives.

# Summary A prominent AI researcher dubbed the "AI godfather" has raised $1.3 billion in funding for a new start-up that will establish Singapore as a key operational base. The funding round reflects significant investor confidence in the company's AI technology and Singapore's growing importance as a hub for artificial intelligence development.

# AMI Labs Funding Summary AMI Labs, founded by former Meta AI chief Yann LeCun, has raised $1.03 billion in funding to develop an alternative approach to artificial intelligence. The significant investment underscores LeCun's vision for a different direction in AI development outside of his previous role at Meta.

# AMI Labs Funding Summary AMI Labs, founded by Yann LeCun, has secured $1.03 billion in funding to advance research and development of world models—AI systems designed to understand and predict how the physical world works. The funding represents a significant investment in next-generation artificial intelligence technology focused on building more sophisticated machine intelligence capabilities.

# AMI Labs Funding Summary AMI Labs, founded by former Meta AI chief Yann LeCun, has raised $1.03 billion in funding to develop an alternative approach to artificial intelligence. The funding round reflects investor confidence in LeCun's vision for a different direction in AI development compared to current industry approaches.

French AI startup AMI (Advanced Machine Intelligence) has announced raising over $1 billion in seed funding, making it one of the largest seed rounds in European startup history. Founded by Yann LeCun alongside a team of former Meta FAIR researchers, AMI is developing 'universal intelligent systems' based on world models. The company is headquartered in Paris with offices in New York, Montreal, and Singapore.

Channel News Asia reports that AMI Labs, led by former Meta Chief AI Scientist Yann LeCun, has raised $1.03 billion to advance its alternative approach to AI development centred on world models and the JEPA architecture, positioning itself as a counterpoint to mainstream large language model-based AI systems.

Toyota Ventures has published a blog post explaining its strategic investment in AMI Labs, noting that the company's physical AI and world model research directly aligns with Toyota's vision for next-generation automotive and robotics intelligence. Toyota Ventures sees AMI's JEPA architecture as a promising foundation for AI systems that must reason about the physical world.

AMI Labs (Advanced Machine Intelligence), the AI startup co-founded by Turing Award laureate Yann LeCun, has raised $1.03 billion in a seed round at a $3.5 billion valuation. The company is building world models based on LeCun's JEPA (Joint Embedding Predictive Architecture) framework, which aims to create AI systems that understand the physical world. The round was co-led by Bezos Expeditions, Cathay Innovation, Greycroft, Hiro Capital, and HV Capital.

Hiro Capital has announced co-leading a $1.03 billion seed round in Advanced Machine Intelligence (AMI Labs) alongside Bezos Expeditions, Cathay Innovation, Greycroft, and HV Capital. AMI is focused on Physical AI and world models — areas that align closely with Hiro Capital's investment thesis around spatial computing and physical intelligence.

AMI Labs, the AI startup led by Yann LeCun — who served as Meta's Chief AI Scientist for over a decade — has been valued at $3.5 billion after closing a $1.03 billion seed round. The funding underscores continued investor appetite for foundational AI research, particularly approaches that diverge from the dominant large language model paradigm championed by OpenAI and Google.

AMI Labs has secured over $1 billion in seed funding, with notable angel investors including Jeff Bezos, Eric Schmidt, Mark Cuban, Xavier Niel, Tim Berners-Lee, and Jim Breyer participating alongside institutional investors. The company's approach centers on JEPA-based world models as an alternative path to artificial general intelligence, with a 13-person founding team drawn predominantly from Meta's Fundamental AI Research (FAIR) lab.

With $1.03B in seed funding, Paris-based AMI launches as a $3.5B AI unicorn aiming to move beyond LLMs by building “world models. These systems are designed to understand physical reality, reason about cause and effect, and power the next generation of intelligent machines.

Economist Steve Hanke has expressed skepticism about artificial intelligence, characterizing it as "overhyped and potentially dangerous." The statement reflects concerns about current AI market valuations and the risks associated with rapid AI development and deployment.

Ex-Meta Chief AI Scientist Yann LeCun pushes back on AGI hype, arguing AI is far from human-level intelligence and better understood as a tool to amplify people. He says the real breakthrough lies not in language models, but in building world models that can navigate the messy physical world.

# Summary Yann LeCun, executive chairman of AMI Labs, stated that current AI technology has significant limitations and is primarily effective at language-based tasks. According to LeCun, existing AI systems lack broader capabilities beyond language processing, suggesting the field needs further advancement to achieve more comprehensive artificial intelligence.

# Summary Fei-Fei Li's World Labs has secured $1 billion in funding, marking a significant investment in the AI company founded by the renowned AI researcher. The funding round underscores continued investor confidence in World Labs' mission and technological development in the artificial intelligence sector.

# Summary An Indian university was removed from an AI summit after using a Chinese-made robotic dog, apparently due to concerns about the origin of the technology or geopolitical sensitivities surrounding Chinese manufacturing in an international AI competition context.

An Indian university displayed a Chinese-made robot dog, which some viewed as highlighting India's lag in domestic artificial intelligence and robotics development. The incident sparked discussion about India's capabilities in advanced technology manufacturing compared to competitors like China.

# Summary India removed a private university from an AI summit due to a robot dog controversy. The incident appears to have involved an inappropriate or offensive use of the robotic device at the technology event.

AMI filed for its fifth trademark with France’s National Institute of Intellectual Property (INPI).

AMI filed for its fourth trademark with France’s National Institute of Intellectual Property (INPI).

AMI filed for its third trademark with France’s National Institute of Intellectual Property (INPI).

AMI filed for its second trademark with France’s National Institute of Intellectual Property (INPI).

PengyouCo updated its articles of association on 19 December 2025, restructuring its 1,000,000 shares: ordinary shares were increased from 33,500 to 71,750, while SP preference shares (which carry 10× voting rights) were adjusted to 928,250. The update was certified by founding president Gérard Lebrun and preceded the company's January 2026 fundraise announcement under the AMI Labs brand.

The legendary AI scientist left Meta to build world models. He says Silicon Valley is too hypnotized by ChatGPT to see what's coming next.

PengyouCo — the legal entity that became AMI Labs (Advanced Machine Intelligence) — was incorporated on 3 December 2025 as a Société par Actions Simplifiée (SAS) with €10,000 share capital. The company was registered at 51 rue de Seine, Paris 6e, with Gérard Lebrun (father of CEO Alexandre LeBrun) as sole founding shareholder and first president. Its stated corporate purpose covers AI model development, software engineering, and R&D.

AMI filed for its first trademark with France’s National Institute of Intellectual Property (INPI).