About Xent Labs
We are a team of researchers and engineers with a plan to construct a bridge to superintelligence. We believe that LLMs already contain knowledge and capabilities well beyond what they demonstrate as chatbots and agents. Combining ideas from various fields of ML, Artificial Life, and Theoretical Computer Science, we are constructing an environment designed to extract and enhance these implicit capabilities.
RL post-training is reliant on human-generated tests, human evaluation, and human data labeling. While it is possible to push these beyond human limits, the cost and difficulty grows exponentially. The boundaries of these approaches are already being reached.
We believe that we can construct an environment for open-ended evolution. An environment of games that can become increasingly more difficult and more general, entirely without human intervention. An agent training in such an environment may be able to become truly super-intelligent.
We have built the Xent benchmark as a demonstration of the value and nature of the Xent environment. Using this environment, we are expanding our understanding and validating our approaches towards the creation of the world's first general superintelligence.
Our History and Future
Summer 2024
Clément starts focusing on the possibility of LLMs generating synthetic training data using knowledge that they already have.
Fall 2024
Clément and Andrew begin initial research and development around synthetic data generation.
Winter 2024
Clément and Andrew develop the first Xent Game and make it playable, with the goal of better understanding what good or optimal solutions for these sorts of problems even look like.
Spring 2025
Clément and Andrew develop the Xent language, a programming language for Xent Games. They design the Xent language to cover the space of all useful games that LLMs can play to benchmark and improve their performance.
June 2025
We release our first paper!
July 2025
We release our first benchmark , along with the Xent Language codebase!
Summer 2025
Clément and Andrew officially found Xent, raise a pre-seed round, and begin to build the founding Xent team.
Fall 2025
The Xent teams develops advanced internal tooling around Xent games, including a computational solver for Xent games and an RL environment for model training.
Winter 2025
The team begins to train models to demonstrate advanced model capabilities only achievable using Xent game training and data.
Who We Are
Nico Zlatoff
nz@xentlabs.ai
Holding a PhD in AI, Nico is also an actor and director, working with the codes of theater, cinema, and performance.
Franck Gabriel
fr@xentlabs.ai
Franck is a professor of mathematics with publications in machine-learning and a growing interest in applications.