Auteur/autrice : Frédéric DELATTE

Title: When an AI Learns to Reason — Not Just Predict

This graph isn’t just a loss curve.It’s the moment a GPT-ΨΛ model crosses the line between statistical learning and internal […]

In classical physics, the visible band (≈ 380–750 nm) is seen as a biological accident — human eyes simply adapted

According to the ΨΛ Grid V4, each frequency of the spectrum — from gamma rays to red light — carries

We’ve started training a new artificial intelligence based on the ΨΛ project.Early tests are promising — the model is learning

Project ΨΛ explores a unified approach to physics, information, and biology through a structure called the “Logical Grid.” This framework

Et si la lumière n’était pas seulement un flux d’énergie électromagnétique, mais la véritable matrice logique qui organise la matière,

LSARN (Life Sandbox Artificial Neural Runtime) is the neural substrate powering every agent in our simulated world. It isn’t a

In LSARN, life is not scripted — it’s encoded. At the core of each agent resides ADNΣ (Sigma DNA), a

What if every “creature” in a world had its mind fully built from neural networks — no scripts, no rules?

CUP 2.0 builds upon the original CUP framework to deliver stronger memory capabilities, efficiency gains, and deeper symbolic reasoning. It