Alexandre Villeneuve

Il me semble illusoire de penser que connaître la technologie des IA génératives permet de comprendre leur fonctionnement, leurs limites et leurs possibilités, et ceci pour plusieurs raisons, notamment : 1️⃣ Comme le dit Daniel Andler dans son livre "Intelligence artificielle, intelligence humaine : la double énigme", le principe du verum factum ne s'applique pas à ce domaine. ➡️ babelio.com/livres/Andler-In… 2️⃣ Comme le dit Geoffrey Hinton, "What we did was we designed the learning algorithm that's a bit like designing the principle of evolution, but when this learning algorithm interacts with data, it produces complicated neural network that are good at doing things, but we don't really understand how they do those things, what are the implications of these systems autonomously writing their own computer code and executing their own computer code." De fait, les circuits analogiques sous-jacents sont indiciblement plus complexes que tout ce qui pourrait être créé directement par des personnes humaines. ➡️ youtu.be/qrvK_KuIeJk?si=kFfr… 3️⃣ Comme le dit Stephen Wolfram, "the core phenomena of machine learning and of biological evolution appear to be remarkably aligned—and both fundamentally connected to the phenomenon of computational irreducibility." "Computational irreducibility gives us the effective randomness that allows us to find useful results by adaptive evolution, but it also leads to changes having what seem like random and unpredictable effects." ➡️ writings.stephenwolfram.com/…