Illustration by ChatGPT

I would like to share with you a decisive milestone in a project that some of you have kindly followed from its early days: GENESIS and ANELLA-X are now fully operational, as the final developments have just been completed.

The system runs smoothly, the modules are integrated, the documentation is complete, and the project as a whole has passed all tests. What began merely as a hypothesis — that a purely associative network, governed by two simple gradients, could allow non-symbolic forms of coherence to emerge — has now been implemented in a stable environment.

Concretely, this includes:

• five Python modules totalling 3,000 lines of code,

• a fully validated test suite,

• explicit and comprehensive technical and theoretical documentation,

• a standardised procedure for detecting, verifying, and tracking the emergence of phenomena within complex systems.

This is not yet a “thinking machine” fully deserving of the name, nor a general-purpose alternative to LLMs, but a technical object of a different nature:

an engine of emergence, showing how structures can form, stabilise, or dissolve from simple weighted interactions — without the prior existence of a symbolic infrastructure, and without pre-programmed rules.

Following this announcement will come public demonstrations, pilot applications, and the collaborations now under consideration. The code exists, it is operational, and it is ready to be shown in action.

In the coming weeks, I will publish a first demonstration along with a summary document presenting the functioning of the overall architecture.

For now, I simply wanted to keep you informed: the research and development effort has turned a crucial page, allowing the system to step out of the laboratory and into public debate.

(To be continued…)