Mon premier article en français n'est pas de moi. Il s'agit de la traduction d'un article très intéressant en français, écrit par Mike West ! Mike évoque tout l'intérêt d'utiliser le logiciel Subversion pour gérer le contrôle des versions de fichiers dans la gestion d'un projet avec workflow. Il a été publié par le prestigieux magazine A List Apart ce qui montre l'intérêt de l'article. C'était un plaisir de travailler avec Mike qui s'intéresse à la traduction. Nous avons conversé plusieurs fois sur le choix des mots afin de restituer le mieux possible 'sa pensée' dans la traduction.
J'en profite pour remercier François Blanc Patin et Hélène Wokowski. Hélène a passé du temps avec moi pour proposer des tournures différentes de phrases, tout en restant aussi fidèle que possible au texte d'origine.
Allez donc voir ce texte que je vous saurai gré de lire...
I question the reliability and accuracy of Generative AI (GenAI) in enterprise scenarios, particularly when faced with adversarial questions, highlighting that current Large Language Models (LLMs) may be data-rich but lack in reasoning and causality. I would call for a more balanced approach to AI adoption in cases of assisting users, requiring supervision, and the need for better LLM models that can be trusted, learn, and reason.
I discuss my experience with chatbots, contrasting older rules-based systems with newer GenAI (General Artificial Intelligence) chatbots. We cannot dismiss the creative capabilities of GenAI-based chatbots, but these systems lack reliability, especially in customer-facing applications, and improvements in the way AI is structured could lead to a "software renaissance," potentially reducing society's technical debt.
The article discusses the contrasting debate on how AI safety is and should be managed, its impact on technical debt, and its societal implications.
It notes the Center for AI Safety's call for a worldwide focus on the risks of AI, and Meredith Whittaker's criticism that such warnings preserve the status quo, strengthening tech giants' dominance. The piece also highlights AI's potential to decrease societal and technical debt by making software production cheaper, simpler, and resulting in far more innovation. It provides examples of cost-effective open-source models that perform well and emphasizes the rapid pace of AI innovation. Last, the article emphasises the need for adaptive legislation to match the pace of AI innovation, empowering suitable government entities for oversight, defining appropriate scopes for legislation and regulation, addressing ethical issues and biases in AI, and promoting public engagement in AI regulatory decisions.
Japan has made its ruling on the situation between Content creators and Businesses. Japanese companies that use AI have the freedom to use content for training purposes without the burden of copyright laws. This news about the copyright laws in Japan reported over at Technomancers is seen as Businesses: 1 / Content Creators: 0 The […]