In 2026, one of the biggest challenges in AI is no longer choosing the model, but connecting it properly to an information system. Whether it is a CRM, email tools, or design software, value appears when AI can access context and take action inside the tool. That is the role of MCP, which stands for […]
In late February 2026, several international media outlets highlighted a major shift: the explicit alignment between leading American AI companies and the U.S. Department of Defense. This is not merely a technology headline. It is a strategic turning point. Since the Cold War, technology has been a lever of power. But with generative AI, we […]
In late 2025, the three major AI players released their most powerful models yet. OpenAI with GPT-5.2, Anthropic with Claude Opus 4.6 (and its more accessible sibling Claude Sonnet 4.6), Google with Gemini 3 Pro. On paper, the performance gap between them is narrow. In practice, the differences are real, and picking the wrong one […]
Everyone is watching AI but Peter Thiel is watching how it fits in. Who is Peter Thiel? Peter Thiel is the co-founder of PayPal alongside Elon Musk and Facebook’s first outside investor. He built his reputation by betting early and differently. Where many chase rapid growth, Thiel looks for systems that can hold up over […]
World models aim to build AI that can “imagine” the future so it can make better decisions. Up to now, a lot of people have been trying to pit world models against LLMs. Wayve, with GAIA-1, takes a different path, and it’s a pretty bold one. They push the concept in a very “LLM-compatible” direction: […]
In August 2025, Google DeepMind introduced Genie 3, a “world model”: an AI system that can create an interactive 3D world from a simple description. In practice, you can move through it like in a video game, in real time (around 24 frames per second), at 720p, and the world stays coherent for a few […]
When you want to integrate generative AI into a product, three options come up often: RAG, fine-tuning, and SLMs (Small Language Models). In practice, these are three different levers: one brings the right context into the prompt, another shapes the model’s behavior, and the third changes the economics and deployment. Understanding the 3 approaches RAG […]
Two big families dominate the conversation around “AI that understands the world”: So, “which one is best?” doesn’t have a single answer. What is a world model? A world model is an AI model that learns an internal representation of how an environment evolves, so it can predict the consequences of an action, simulate scenarios, […]
Over the past few years, we’ve hit a real turning point: an image or a video is no longer proof. Between generative AI and deepfakes, “seeing” isn’t enough anymore. Fake content is getting more realistic, detection tools are improving more slowly, and platforms like Instagram or TikTok still aren’t ready to display clear, user-friendly proof […]
For years, “doing AI” basically meant “sending data to a server” (Microsoft, Google, OpenAI, and others). It made sense: models were huge, GPUs were expensive, and latency was acceptable. But that’s changing. Hardware has caught up with software, and not only through GPUs. NPUs (Neural Processing Units) are becoming common in PCs and smartphones, designed […]
AI has been very good at reacting for a long time: you give it an input, it gives you an output. But a big part of human intelligence is not just reaction. We anticipate, we imagine, we explain what will happen if we act in a certain way. That is exactly the idea behind world […]
In 2025, SMEs can get very tangible results from AI without hiring a data team. The reason is simple: LLMs (large language models) are accessible via APIs, and no-code automation makes it easy to connect them to everyday tools (Gmail, Slack, CRM, Drive, and more). We cover the foundations in this article. AI agency for […]
