As generative artificial intelligence becomes more widely used, a scientific debate is now sweeping across the research community: can current language models, based on statistical prediction of text, really lead to artificial intelligence capable of understanding the world? For Yann LeCun, the answer is no. One of the pioneers of modern AI has been defending another approach for several years, based on what he calls “world models”systems capable of modeling real-world dynamics rather than simply generating text.
It is around this vision that is launched AMI Labs (Advanced Machine Intelligence Labs)a new artificial intelligence laboratory which has just brought together 890 million euros of financing at a pre money valuation of 3 billion euros, to develop a new generation of systems capable of learning from their environment and anticipating the consequences of their actions. By the scale of its funding and the scientific ambition displayed, the initiative immediately positions itself among the most ambitious AI projects launched in Europe.
An AI laboratory structured like a global scientific organization
AMI Labs is chaired by Yann LeCun, a major figure in artificial intelligence research and winner of the Turing Prize. The operational execution of the project is entrusted to Alexandre LeBrun, a recognized entrepreneur in the field of AI, who serves as CEO.
Around them, the organization is structured like a true international research laboratory. The role of Chief Science Officer is played by Saining Xie, a specialist in visual representation in machine learning. The direction of research and innovation is entrusted to Pascale Fung, pioneer of human-centered AI approaches. Work on the architectures of world models will be piloted by Michael Rabbat.
🚨 SMARTJOBS
- MISTRAL – Account Executive, Enterprise, France – Paris
- ANTHROPIC – Startup Partnerships – France & Southern Europe
- CONTEXT – HR Director – Human Resources Director
- ECOLE POLYTECHNIQUE – Director/Deputy Director of International Relations (F/M)
- CLAROTY — Sales Development Representative
- FRACTTAL — Account Manager (France)
- BRICKSAI — Founding Growth Manager
👉 Find all our offers on the DECODE MEDIA Jobboard
📩 Are you recruiting and want to strengthen your employer brand? Discover our partner offers
The operational organization is ensured by Laurent Solly, appointed COO. Its role will notably be to structure the development of the laboratory, its international operations and its industrial partnerships.
The governance structure illustrates the ambition of the project combine fundamental research, cutting-edge engineering and industrialization capacity.
“World models”, an alternative to dominant architectures
Since the rise of generative models, the major advances in AI have been driven by large language models (LLM). These systems learn primarily by analyzing huge volumes of text to predict the most likely words in a given sequence.
For Yann LeCun, however, this approach reaches structural limits. Generative models can produce coherent answers, but they remain incapable of understand the causal relationships that govern the physical and social world.
THE world models aim precisely to fill this gap. The objective is to design systems capable of constructing an internal representation of their environment and of anticipating the evolution of the situations they face. Such an approach could pave the way for major advances in areas such as:
- autonomous robotics
- scientific simulation
- intelligent agents
- decision-making systems.
In other words, where LLMs specialize in content generation, world models seek to model reality itself.
An oversubscribed fundraiser
AMI Labs funding reached 890 million eurosan exceptional level for a project still in the launch phase. According to several sources close to the matter, the round attracted much greater interest than the amount ultimately retained, with investor commitments far exceeding the size of the round.
This oversubscription led several participants to reduce their initial ticketin order to allow the entry of a greater number of strategic investors.
The round table brings together a set of actors representing different categories of capital: venture capital, institutional investors and industrial partners. Among them are Temasek, Softbank, Greycroft, New Legacy Ventures, Bezos Expeditions, Toyota Ventures and Nvidia, whose presence reflects the growing importance of computing infrastructures in the development of AI models.
On the side of European investors, we find Cathay Innovation and Daphni which are positioned at the top of French institutional investors, followed by Serena, Eurazeo and Bpifrance.
The diversity of this round table reflects the hybrid nature of the project, at once scientific, industrial and strategic.
The global battle for AI infrastructure
Beyond fundamental research, a very significant portion of the capital raised should be devoted to the computing power necessary for training models.
Modern AI relies on increasingly heavy infrastructures: GPU clusters, high-performance networks and specialized data centers. In this context, the availability of compute becomes a determining factor of competitiveness.
An emblematic project for the European ecosystem
AMI Labs’ ambition is part of a dynamic aimed at strengthening Europe’s capacity to finance and develop very large-scale artificial intelligence research laboratories.
Until now, initiatives of this type have mainly emerged in the United States, with organizations like DeepMind, OpenAI or Anthropic. The creation of AMI Labs thus marks a European attempt to structure a laboratory capable of competing in the scientific and technological field.
If the success of such a project remains uncertain, the scale of the financing obtained and the quality of the team assembled testify to a change of scale in the ambitions of the ecosystem, and in an industry where the race for computing power and scientific talent is intensifying, AMI Labs already appears to be one of the most daring bets in European AI.
