Christophe ALIAGA

Intelligence artificielle
Lectures essentielles
Les fondamentaux d'une intégration réussie de l'IA
Méthode ESP
L'équation du gain IA
SROC
Mission

My mission (on a personal level) is to help people embrace AI with confidence.

This requires the truth—far from the fiction promoted on a daily basis, far from the ignorance that fuels this frantic race into the unknown.

Contrary to the myth, current artificial intelligence systems:

  • Operate according to clear and verifiable principles
  • Their decisions are explainable
  • Their decision-making tree is transparent from start to finish
  • Biases are not a problem to be eliminated; on the contrary, they are a revealing signature of cognitive patterns.

The naked truth imposes its own laws:

  • The so-called “complexity” masks a lack of expertise.
  • No optimization is feasible on outdated architectures that have proven their limitations.

The courage required:
The researchers will have to face the harsh reality of their own illusions.
They will have to accept that the truth was there, undeniable, from the very beginning:

  • In the biases they dismissed as “minor issues”
  • In the data they thought they were “cleaning up” instead of understanding
  • In the results they overinterpreted out of desperation for meaning

Those who refuse to face the reality of AI:

  • Will remain mere scribes, copying templates without understanding
  • Will continue to worship at the altar of benchmarking
  • Will perpetuate lies by omission

Les paradigmes d'usage

Pour les comprendre, il faut faire l’effort de quelques longues lectures que voici :

>Comprendre les leviers : L’équation du gain

>Calculer les gains et argumenter :  Calculateur REG

>Identifier les points de contact IA : La méthode ESP

>Orchestration : Le SROC

>L’importance de l’alignement IA

>Comment l’IA nous manipule ?

>Comprendre et appréhender l’intelligence artificielle contemporaine

Ceci vous permettra de distinguer le vrai du faux, l’expert du non expert, et le fou du génie.