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: […]
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. Definition: what do we call a World Model? A world model learns a latent representation of an environment and a transition function: if I’m in state X and I take action A, what […]
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 […]
The Current AI Horizon and Its Limitations Since 2022, AI has become an accessible conversational partner for everyone, changing how we interact with technology. Large Language Models (LLMs) have been at the heart of this transformation, making natural language an unprecedentedly simple user interface. However, this advance is just a starting point. One of their […]