Highlights
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…
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,…
Complete guide to ComfyUI upscale models: performance and use cases
Optimizing images in ComfyUI relies on a precise selection of upscale models, as each architecture, whether ESRGAN-based or more recently DAT-based, interacts differently with pixels and textures. To integrate these…
ComfyUI GGUF: how and why to use this format in 2026?
The year 2026 marks a turning point where the GGUF format is no longer an experimental alternative, but an absolute necessity for anyone wishing to exploit cutting-edge models, such as…
ComfyUI: where to find and download the best models and workflows in 2026
The year 2026 marks a major transformation in how we consume local generative AI, as downloading a model is no longer just about choosing the largest file, but finding the…
ComfyUI: the best information sources and ecosystem resources in 2026
The year 2026 represents a major turning point for ComfyUI, as the interface has evolved from a niche tool for local AI enthusiasts into an industrial standard for creative production….
AI Electricity Demand: Why Power Grids Are the Bottleneck
AI electricity demand has become the primary limiting factor for large-scale AI systems in early 2026, overtaking compute hardware and model capability. As training and inference workloads scale continuously, they…
AI Inference Cost in 2025: Architecture, Latency, and the Real Cost per Token
AI inference cost, not training expense, now defines the real scalability, latency, and budget limits of modern AI systems. In late 2025, latency, throughput, and cost per token form a…
AI News for December 22–30: Infrastructure, Chips, Agents and Regulation
From December 22 to December 30, 2025, AI weekly news was shaped less by new models than by structural constraints across power, hardware, enterprise automation, and regulation. This article provides…
AI News for December 15–20: Latest Developments, Models, Policy Shifts and Industry Impact
This AI weekly news update covers the most consequential developments between December 15 and December 20, 2025, with direct implications for infrastructure planning, regulatory risk, and model selection. The week…
AI News for December 8–13: GPT-5.2 Benchmarks & Federal AI Regulation
This weekly briefing highlights the AI developments that matter most, from new accelerator hardware and enterprise agent pivots to global oversight milestones shaping deployment in 2026. Covering December 8 to…