The emergence of generative artificial intelligence, capable of interacting in natural language, is profoundly transforming our relationship with technology. These conversational tools are becoming everyday assistants, whether for work, learning, creating, or staying informed.
ChatGPT is stepping up a gear: OpenAI unveils GPT-5
The announcement had been anticipated for over a year. On August 20, 2025, OpenAI officially unveiled GPT-5, the new version of its flagship language model, integrated into ChatGPT and the OpenAI API. This release comes amid fierce competition, as Anthropic’s Claude 3.5, Google’s Gemini 2, and DeepSeek-Vision are rapidly transforming the landscape of generative artificial intelligence.
dAIsy: Defensive Artificial Intelligence to Thwart Phone Scammers
The voice is soft, slightly hesitant. She talks about her family, asks for details, deliberately loses her train of thought… but she isn’t a real elderly person. On the other end of the line, a scammer thinks he’s tricked a vulnerable target. He has no idea that he’s wasting his time dealing with artificial intelligence designed to trap him.
Bringing Color to the Past: How Google’s Artificial Intelligence Enhances Black-and-White Photos
Old black-and-white photos have a special charm: they preserve the past, capture an era, and evoke memories that are often personal or family-related. But they can sometimes be difficult for younger generations to appreciate, as they are unfamiliar with their visual context. Thanks to recent advances in artificial intelligence, it is now possible to bring color back to the past with striking accuracy.
Gemini in the Apple ecosystem: toward a smarter Siri, made by Google
Apple and Google have long embodied an iconic rivalry in the tech world. One advocates for vertical control over the user experience, while the other favors a more open approach focused on online services. But in June 2025, at its WWDC conference, Apple surprised everyone by announcing the integration of Gemini, the generative AI model developed by Google, into certain advanced features of Siri.
Google Search's AI mode is expanding to 180 countries: a new era in search
Google Search and Generative AI: A Historic Turning Point With more than 8.5 billion searches per day, Google Search remains the primary gateway to online information for the majority of internet users in the…
When Artificial Intelligence Shapes the Future of the Justice System: Toward a More Analytical Role for Judges
Long sheltered from technological upheavals, the justice system now finds itself at a turning point. Overwhelmed by caseloads and facing increasing pressure to meet processing deadlines, courts must navigate an increasingly complex, ever-changing, and interconnected legal landscape. In the face of these challenges, artificial intelligence is making its way into courtrooms—not to replace judges, but to augment their human capabilities.
Meta and Midjourney: A Strategic Partnership to Revolutionize AI-Powered Images and Video
In this context, the partnership announced in the summer of 2025 between Meta (the parent company of Instagram, Facebook, WhatsApp, and Threads) and Midjourney marks a strategic turning point. It is no longer simply a matter of generating individual images, but of building a comprehensive multimodal infrastructure capable of transforming a text query into an image, video, or animation for billions of users.
Perplexity AI offers a revenue-sharing model with media outlets: toward a new model of collaboration
The rise of generative artificial intelligence has profoundly transformed the way information is produced, disseminated, and accessed. Tools such as ChatGPT, Gemini, and Perplexity allow users to obtain synthetic responses to complex queries, often drawing on journalistic or encyclopedic content.
MLE-STAR: Google’s approach to effectively structuring machine learning engineering
Drawing on its extensive experience in deploying AI at scale, Google offers a methodological approach to this challenge through the MLE-STAR framework. Designed as a synthesis of best practices in software engineering tailored to machine learning, this framework aims to structure AI projects in a more reliable, modular, and sustainable way.
