Tags: Yann LeCun

Yann LeCun, the Turing Award‑winning AI researcher who left Meta after 12 years, announced a $1.03 billion seed round for his new venture, Advanced Machine Intelligence Labs (AMI). The funding, the largest European seed round on record, was co‑led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital and Bezos Expeditions, with participation from Nvidia, Toyota, Samsung, Temasek and several high‑profile individuals. AMI, headquartered in Paris with plans for offices in New York, Montreal and Singapore, will focus on building "world models" using LeCun’s JEPA framework, aiming to create universal intelligent systems beyond large language models. Ler mais

San Francisco startup Logical Intelligence, with Yann LeCun on its board, has introduced Kona 1.0, an energy‑based reasoning model that operates on a single GPU and solves tasks such as sudoku far faster than leading large language models. The company argues that its approach reduces compute needs, eliminates hallucinations, and can be applied to critical domains like energy grid management, drug discovery, and chip manufacturing. Logical Intelligence plans to work alongside LeCun’s Paris‑based AMI Labs, which focuses on world‑model AI, while keeping its model closed‑source for safety reasons. Ler mais

Yann LeCun’s newly launched venture AMI Labs has revealed that it will develop “world models” to create intelligent systems that understand the real world. The startup, headquartered in Paris with additional offices in Montreal, New York, and Singapore, is led by executive chairman LeCun and CEO Alex LeBrun, a former health‑AI founder. AMI Labs aims to apply its technology to high‑stakes fields such as healthcare, industrial automation, robotics, and wearable devices, emphasizing reliability, controllability, and safety. The company plans to license its models to industry partners while contributing to open research. Ler mais

While large language models like ChatGPT and Gemini dominate today’s AI products, industry leaders are turning toward world models that encode the physical world’s laws, objects and movement. These models aim to power realistic video, surgical robots and self‑driving cars, forging a new era of "physical AI." Prominent figures such as Yann LeCun, Fei‑Fei Li and Nvidia’s Jensen Huang are championing spatial intelligence and synthetic data as the foundation for this shift. Ler mais

Yann LeCun explains why he left Meta, citing the limited interest in his work on world models and applications beyond social media. He promotes the "neolab" concept—start‑ups that conduct fundamental research—and points to examples from former OpenAI executives. LeCun’s new AI architecture learns physics from video and incorporates past experiences as "emotions" to improve predictions. He predicts early, limited versions within a year and larger systems in a few years, emphasizing that more intelligence could lower human suffering and improve decision‑making. Ler mais

Meta is reportedly working on a new large‑language model internally called “Avocado.” The project signals a shift away from the company’s earlier open‑source stance on AI, with the model expected to be proprietary. Avocado is being developed by a small team within Meta’s AI Superintelligence Labs, led by Chief AI Officer Alexandr Wang. The move follows internal turmoil, including layoffs at the FAIR unit and the departure of Chief AI Scientist Yann LeCun. Industry observers note that the change reflects Meta’s desire to keep pace with rivals such as OpenAI and Google. Ler mais

Leading AI figures, including Mark Zuckerberg, Dario Amodei, Sam Altman, Yann LeCun, Yoshua Bengio, Eric Schmidt and Gary Marcus, caution that large language models (LLMs) are limited tools that mimic language rather than replicate human thought. While tech CEOs tout imminent breakthroughs, researchers argue that true artificial general intelligence (AGI) will require world‑modeling, persistent memory, reasoning and planning capabilities beyond text‑based training. The piece highlights the growing skepticism within the AI community and stresses the need for a broader, multi‑disciplinary approach to building genuinely versatile intelligent systems. Ler mais

Yann LeCun, Meta's chief AI scientist and founder of the FAIR research lab, announced plans to leave the company and start his own venture. LeCun, a 2018 Turing Award winner, will retain his professorship at New York University while departing a Meta organization that has recently shifted its AI focus toward rapid commercial deployment. The move comes amid internal tension, leadership changes, and high‑profile hires aimed at accelerating large‑language‑model development under Mark Zuckerberg's revised AI strategy. Ler mais

Meta’s chief AI scientist, Yann LeCun, is reportedly preparing to leave the company to start his own venture. The former Turing Award winner, who also teaches at New York University, is said to be raising capital for a startup that will concentrate on "world models," a type of AI that builds an internal understanding of its environment to predict outcomes. His planned exit comes amid Meta’s broader AI restructuring, including the formation of Meta Superintelligence Labs and a major investment in data‑labeling firm Scale AI. LeCun has expressed skepticism about current AI hype, emphasizing the need for more fundamental breakthroughs. Ler mais