La humanidad ha ingresado a una nueva era marcada por la irrupción de inteligencias artificiales avanzadas, conocidas como Super AI. A diferencia de versiones anteriores, estas IAs no solo asisten o predicen: toman decisiones, lideran procesos y redefinen industrias completas.

Artificial intelligence isn’t just automating tasks. It’s challenging the very foundations of software development. In this new paradigm, not every programmer will be necessary. Only those who can lead, integrate, and push back against AI will have a place in the future of code.

At the heart of every interaction with a chatbot like ChatGPT lies a quiet paradox: while we converse with an invisible artificial mind, the physical world loses tangible resources. Chief among them? Water. Much more than we imagine.

When we write a prompt in ChatGPT or any other generative model, we use words, phrases, and human linguistic structures. However, the model does not understand letters, meanings, or context as we do. Instead, it operates purely mathematically: each word, phrase, or idea is transformed into numbers and positions in a high-dimensional mathematical space.

In the fast-paced world of generative artificial intelligence, the competition to lead the market is fierce. Numerous companies are investing significant resources in research and development to create increasingly advanced models capable of delivering more precise, efficient, and contextually rich results. In this article, we analyze the key players and their technologies to evaluate who is dominating the market and what trends might define the future of generative AI.

Artificial Intelligence (AI) has revolutionized modern technology, driving advancements in multiple sectors. However, behind every impressive AI application—from virtual assistants to medical diagnoses—there is one fundamental element: the model. AI models are the true core of this technological revolution, and understanding their importance is key to leveraging their full potential.

In the fast-paced world of artificial intelligence, few names have made as significant an impact in such a short time as DeepSeek, a generative AI that not only challenged ChatGPT's dominance but also redefined what it means to be an advanced language model. Today, in RUBIK TECH MAGAZINE, we explore DeepSeek's origins, its meteoric rise, and how it managed to surpass giants like ChatGPT, even amidst NVIDIA's stock market crash. 

In the current environment, where artificial intelligence (AI) and machine learning are technological cornerstones, algorithms play a crucial role in a variety of processes, from candidate selection for jobs to credit approval. However, when algorithms exhibit bias, they can reinforce social inequalities and generate discriminatory outcomes. This type of bias is not only a technical challenge but also an ethical one, requiring developers to act responsibly and with awareness.

2024 will be remembered as the year when artificial intelligence (AI) ceased to be a futuristic concept and became an indispensable tool in our lives. From creating images and videos to optimizing everyday tasks, AI has transformed the way we work, produce, and envision the future. This article explores the most significant advancements of the year, how AI has redefined our "super self," and the path to a hyper-connected future.

Humanoids are robots designed to mimic human form and behavior, integrating artificial intelligence to learn, communicate, and perform complex tasks. They are used in industries, healthcare, and entertainment, automating dangerous or repetitive jobs. While not meant to replace humans, they complement human work. Companies like Tesla and Hanson Robotics lead their development, though ethical concerns about privacy and employment arise. In the future, humanoids will be valuable allies in various fields, always under human supervision.