Highlights
Discord and the 2026 age verification shift: why local-first AI is the real game changer
Starting in March 2026, Discord will fundamentally change how it handles user access. Under pressure from global safety regulations, the platform is rolling out mandatory age verification. While mainstream media…
Gemini and Google Drive: Bringing Predictive Analytics to Your Documents
One of the greatest challenges in corporate predictive analytics is the accessibility of data scattered across dozens of folders. In 2026, the Gemini extension for Google Workspace transforms your cloud storage into…
Predictive analytics with conversational AI: reliability, bias, and measurable limits
The hype surrounding generative artificial intelligence often leads organizations to treat it as a decision-making oracle. However, in 2026, professional maturity demands a reality check: conversational AI for predictive analysis is not…
Advanced prompts for predictive analysis with conversational AI (2026)
The effectiveness of conversational AI for predictive analysis does not depend on a single clever question, but on the structure of the instruction provided. Turning a language model into a reliable decision-support tool requires…
Predictive analytics and RAG: leveraging conversational AI with private enterprise data
The efficacy of conversational AI for predictive analysis depends entirely on the depth and relevance of the context provided to the model. While Large Language Models (LLMs) possess immense general knowledge, they…
Conversational AI and predictive analytics: 5 high-impact business use cases
The integration of conversational AI into strategic workflows marks a shift from traditional, reactive Business Intelligence to an agile, anticipatory model. Unlike legacy systems that require complex SQL queries or…
The Fragmentation of the Search Market in 2026: The End of the Google Monopoly?
For over two decades, “searching the web” was synonymous with a single destination: Google’s iconic white search bar. In 2026, this paradigm is undergoing a profound evolution. We are witnessing a progressive fragmentation…
The sovereign media era: transforming the AI threat into a strategic asset
The cognitive architecture of the web is undergoing an irreversible mutation. For digital media, the historical model predicated on traffic arbitrage and social platform dependency is collapsing under the weight…
AI Weekly News: Infrastructure, Chips, Agents and Regulation
This report synthesizes the systemic AI transition between December 30, 2025, and January 27, 2026, marked by record $475 billion Big Tech capital expenditures and the emergence of autonomous agents….
How to evaluate an AI transcription tool: a complete guide for general and advanced users
Artificial Intelligence transcription tools have become widely accessible. From professional meetings and YouTube videos to podcasts and online courses, a multitude of solutions can now transform an audio file into…
Choosing your Whisper model in 2026: performance, precision, and hardware
The Automatic Speech Recognition (ASR) ecosystem has reached a major milestone this year. While cloud-based solutions long held the advantage, the power of local GPUs, such as the RTX 5090…
Why raw accuracy is a trap in speech-to-text evaluation
In recent months, several publications have suggested that YouTube’s automatic captions can outperform Whisper, even in its largest variants. One widely shared Medium post argues that scaling Whisper models yields…
Technical Evaluation of Whisper large-v3 vs YouTube Subtitles: an Editorial Case Study in French (Defined Scope)
Automatic speech-to-text systems are now ubiquitous. Yet their evaluation is most often superficial: a few impressions of readability, sometimes a visual comparison, and rarely an instrumented analysis. This approach becomes…
SynthID and Gemini: How AI Watermarking Will Shape the Future of Digital Content
The rapid rise of AI-assisted writing tools raises a fundamental question for creators, publishers, and digital professionals: can AI-generated text be reliably identified? With SynthID, a technology developed by Google DeepMind and integrated…
Privacy and Inferences: How Google Personal Intelligence Processes Your Data Without Reading It
The launch of Google Personal Intelligence in January 2026 marks a transformative moment for generative AI integration in our digital lives. By connecting the Gemini 3 model to your personal archives, Google promises an…
Context Packing vs. RAG: How Google Gemini 3 solves AI amnesia
In the race for personalized artificial intelligence, managing long-term memory has become the primary technical bottleneck. While the industry standard relies on RAG (Retrieval-Augmented Generation), Google has introduced a hybrid…
Gemini Personal Intelligence: 8 Technical Limitations Hindering Google’s AI Lead
The beta rollout of Personal Intelligence within the Google ecosystem marks a significant milestone in the evolution of digital assistants. Powered by the Gemini 3 architecture, this feature promises hyper-personalization…
Why Google Gemini is positioned to build a structural dominance in the AI race
The artificial intelligence industry is entering a consolidation phase where raw model performance is no longer sufficient. The battlefield has shifted toward infrastructure and deep software integration. While OpenAI initially…
LTX-2 Technical Optimization: Benchmarking FP8, NVFP4, and Schedulers
While our initial LTX-2 technical guide covers the deployment fundamentals, professional exploitation of Lightricks’ model requires a granular understanding of quantization formats. With an asymmetric 19-billion parameter architecture (14B video, 5B audio),…
LTX-2 Technical Guide: The New Standard for Local Audio-Video Generation
Released in January 2026, the LTX-2 model represents a major leap forward in the local video generation ecosystem. Developed by Lightricks, this 19-billion parameter model distinguishes itself through a joint diffusion architecture,…