Claude Code leak reveals how modern AI systems are built
A leak of internal Claude Code code has made it possible to observe how one of Anthropic’s most advanced AI systems is structured. Beyond the incident itself, what matters is what it reveals about the real architecture behind modern AI tools. The code shows that LLMs alone are not enough to reliably solve complex tasks. […]
Memory is the real bottleneck of AI
In Artificial Intelligence, most of the focus is on models, their size, the number of parameters, and the computational power they require. However, in enterprise environments, the real limit is often found in memory and how the system manages information. The first barrier appears in short-term memory, known as the context window. This mechanism determines […]
The Difference Between Probabilistic AI and Context-Aware AI
In modern artificial intelligence not all systems work in the same way. Some simply respond, generating text from probabilistic models that calculate the likelihood of the next token based on the previous context. In technical terms, the model does not search for information but estimates a probability distribution across all possible words and selects the […]
Building the Multimodal Digital Worker
For years, AI specialized in a single modality, it understood either text or images. Today, multimodal models (like Gemini or GPT-4) are capable of processing language, vision, audio, and other data simultaneously. This evolution is key because it reflects how we interact in the real world. Humans do not process words or images in isolation; […]
Human Pose Estimation
Human Pose Estimation is a computer vision technique used to localize anatomical keypoints in images or video. These points represent joints and body landmarks, enabling the construction of a skeletal model based on 2D or 3D coordinates. Detection Architectures Top-Down Approach In this approach, individuals are first detected using bounding boxes, and subsequently, the pose […]
Designing Scalable AIoT with Edge and Cloud Intelligence
Scaling IoT is not a connectivity problem but a distributed architecture challenge. Connecting millions of devices is feasible, the real difficulty lies in processing their data with low latency and high efficiency. This is where AIoT emerges, AI models whose inference runs at the Edge rather than exclusively in the cloud. On-Device Inference Cloud-only processing […]
From Automation to Collaboration: The Rise of the Digital Supervisor
Digital Workers: AI that works as a team For years, progress in Artificial Intelligence seemed like a race for the biggest model or the fastest chatbot. Today, the real change is happening in coordination. We are moving from isolated assistants to AI systems composed of specialised workers who collaborate under intelligent supervision. The real value […]
The Fuel that Truly Powers AI: The Quality of Your Data
Why does the success of any AI project depend not on the power of its engine, but on the quality of the fuel that powers it? In the age of automation, it’s easy to think that the most advanced algorithm guarantees success. The reality, however, is much simpler: the true driver of performance is the […]
If AI learns on its own, who teaches it the limits?
Generative artificial intelligence (GenAI) is revolutionizing multiple industries with its ability to generate text, translate languages, and create content. However, its rapid adoption poses risks in privacy, bias, and ethics. Although safeguards exist, recent studies indicate that they are still insufficient to fully mitigate these challenges. Cases such as Bing’s chatbot with disturbing responses [1] […]