Le fil de l'IA

Perplexity and NVIDIA introduced JOLT, a post-training method that trains one model as both teacher and student. On MATH it matched GRPO’s accuracy with 6.5x fewer processed training tokens. The post Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method appeared first on MarkTechPost.

ChatGPT, Google et Perplexity étaient formels : l'aquaponey était une discipline des JO de Paris. Ce sport n'a jamais existé. Si on peut faire croire n'importe quoi à une iA, qu'est-ce qu'elle peut vous faire croire, à vous ? Romane Maltnoy signe « L'étrange histoire de l'aquaponey ou comment les algorithmes nous bouffent le cerveau » (Dunod, 2026). Au micro, deux des artisans du projet : Sylvain Montmory, 25 ans de direction marketing, consultant et conférencier iA, et Alan CladX, figure du black hat SEO européen depuis 1999. Avec Cyrille Chaudoit et Mick Levy, ils ouvrent le capot de l'indus

Encyclopedia Britannica, the publisher of Chicken Soup for the Soul, and Strike 3, an adult-film company, may not seem to have much in common. But they all agree on one thing: They want payment for the use of their work in training AI models. In the past year, each of them has brought a lawsuit against the big AI companies, claiming that their content was used to train models without permission. And they’re not alone. More than 130 lawsuits have been brought against OpenAI, Google, Amazon, Meta, xAI, Perplexity, Nvidia, Suno, and other developers of generative AI over their use of copyrighted