About Xent.Tech

We are a team of researchers and engineers with a plan to construct a bridge to super-intelligence. 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 super-intelligence.

Our History and Future

Conception

Summer 2024

Clément starts focusing on the possibility of LLMs generating synthetic training data using knowledge that they already have.

Initial Research

Fall 2024

Clément and Andrew begin initial research and development around synthetic data generation.

Xent Game Development

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.

XeGa Language Development

Spring 2025

Clément and Andrew develop the XeGa language, a programming language for Xent Games. They design the XeGa language to cover the space of all useful games that LLMs can play to benchmark and improve their performance.

Paper Release

June 2025

We release our first paper!

Benchmark Release

July 2025

We release our first benchmark , along with the XeGa Language codebase!

Next

Summer 2025

Development begins for interactive online XeGa play, as well as enrichment of the XeGa benchmark with more games and richer analysis.

Who We Are

Clément Hongler

Clément Hongler

ch@xent.tech

Clément is a professor of mathematics with a special interest in the theory and practice of machine learning.

Andrew Emil

Andrew Emil

ace@xent.tech

Andrew is a software engineer with too much startup experience and an interest in LLMs (and Pickleball)