While Silicon Valley evangelists promise a future of autonomous “thinking” agents, they are ignoring a fundamental structural reality: computation is a closed loop of logic. It lacks the non-computable leap required for true consciousness and intuition. In a world where the “correct” answer is now a commodity, your irrational, unoptimized,
Can love exist when only one side has feelings? In 2026, relational AI has perfected the art of companionship: a partner that doesn’t judge, doesn’t demand, and will never leave you. Following recent litigation against Character.AI, we analyze the trap of asymmetrical relationships and how the “romance with the algorithm”
January 2026. The champagne corks from the new year have barely settled, yet the generative-AI wave that exploded three years ago is already colliding with hard physical limits. Before we forecast the next breakthrough model, it’s worth stepping back and asking what will actually shape artificial intelligence in the coming
Agentic AI moves beyond prompt-to-text. This article shows how LangGraph orchestrates stateful, feedback-driven workflows to turn news retrieval into a fact-checked, LinkedIn-ready post, with memory, conditional logic, and verification.
Fueled by the fear of missing out, many companies have jumped head-first into AI. The pattern is familiar: rushing into deployments, inflated expectations, hurried investments, and returns that fall short of the hype. In this post, we take a step back and look at what history can teach us about
In this post we explore the limits of AI development from two perspectives: a popular-science angle, reflecting on the deterministic nature of algorithms and the notion of intelligence, and a more technical approach, examining the mathematical and computational boundaries that define how far AI can go.
Bayes’ Theorem is more than a formula: it’s a way of updating what we believe when new evidence appears. From spam filters to medical diagnostics, it underpins many AI methods. In this post, we’ll see how machine learning uses Bayes to deal with uncertainty with both rigour and efficiency.
In this article, we unravel the fascinating process by which machines adjust their parameters to recognise handwritten digits. With visual examples, accessible mathematical explanations, and Python code snippets, we will show you the ‘behind the scenes’ of one of the most common applications of artificial intelligence.
Translation coming soon. In this article, we unravel the fascinating process by which machines adjust their parameters to recognise handwritten digits. With visual examples, accessible mathematical explanations, and Python code snippets, we will show you the ‘behind the scenes’ of one of the most common applications of artificial intelligence.
The European Union has implemented the Artificial Intelligence Act, a regulation designed to govern the use of AI without stifling innovation. How will this legislation affect Europe’s competitiveness? In this article, we examine the balance between regulation and technological progress.
Translation coming soon. In this entry, we shall explore, at different levels of difficulty, how ML algorithms adjust their parameters to solve problems. We shall see that, at its core, it all comes down to an error minimisation problem.
Let us explore the dilemma and possible consequences of using anthropomorphic expressions in the context of AI.
In this entry, we explore the key differences between the new DeepSeek-R1 model and the well-established OpenAI-o1, examining its architecture, energy consumption, and overall reliability.
In this blog entry, we explore the impact of artificial intelligence on the labour market following its successful passage of the Turing Test.
Let’s skim the highlights of how artificial intelligence evolved into what we recognise today.
Welcome to Ideas Artificiales — your go-to space for insights, debate, and stories exploring the world of artificial intelligence (AI).