The "Nobel" for computer science: "AI Producers, You Have Lost Your Way"

Imagine a Michelin-starred chef who, after inventing the perfect risotto recipe, discovers that all the restaurants in the world are serving customers only raw rice with a sprinkling of Parmesan cheese on top. This is more or less what Richard Sutton must feel when observing the current landscape of artificial intelligence. The co-winner of the 2024 Turing Award - which in the computer world is equivalent to the Nobel Prize - has launched a j'accuse that sounds like an alarm bell for an industry that, in his opinion, has completely lost its way towards true intelligence.

AI under siege: chronicles from the cyber front

April 2023: Samsung engineers unwittingly share proprietary source code with ChatGPT. May 2025: researchers discover that academic papers contain hidden prompts to manipulate AI-powered peer review systems. Between these two events, an alarming chronicle unfolds that tells how artificial intelligence has become both the predator and the prey of the new cyber ecosystem.

The AI that is no more: when GPT-4o becomes a digital mourning

How the "death" of GPT-4o revealed our need for emotional continuity with machines.

The enemy within: when AI becomes an accomplice to hackers

The story begins like many others in the open-source community: an anonymous pull request, a few lines of code, a plugin that promises to "better format" the workspace.

"When Size Doesn't Matter": The Revolution of the HRM Model

The biggest revolution in artificial intelligence in recent years comes not from the labs of OpenAI or Google, but from a small startup in Singapore called Sapient Intelligence.

Artificial Intelligence and the Future of Work

Like in The Matrix, we are faced with a choice: red pill or blue pill? Artificial intelligence is entering the world of work, and we can no longer ignore it.

Kimi K2: The Chinese Artificial Intelligence That Challenges the Coding Giants

If artificial intelligence were a Netflix series, we'd say we've reached the moment when the undisputed protagonist faces a new, unexpected rival. After years of American dominance in the AI sector, with OpenAI and Anthropic ruling the roost, a challenger emerges from the East that promises to reshuffle the deck: Kimi K2, the latest creation from Moonshot AI.

When Artificial Intelligence Makes Music: The Phenomenon of The Velvet Sundown and Iam Between Technology and Ethics

Imagine discovering that your favorite song, the one that has accompanied you for months, the one you shared with friends and that has garnered millions of listens, was never played by human hands. There is no singer who performed it with their voice, no guitarist who found those perfect chords, no musicians who gathered in a studio to create that sonic alchemy. Everything was born from algorithms, neural networks, and artificial intelligence.

Uncontrolled Artificial Intelligence: Big Tech Companies Fail on Safety (Part Two)

Resuming the analysis of the independent report from the Future of Life Institute, in this second part, we delve deeper into the themes of safety in AI development, the regulatory and technical urgency to set limits, ethical aspects, and future prospects.

Uncontrolled Artificial Intelligence: Big Tech Companies Fail on Safety (Part One)

An independent report reveals that major technology companies are not prepared to manage the risks of artificial general intelligence.

Evaluating Artificial Intelligence: When Numbers Meet Ethics

In the past five articles, we have explored the world of artificial intelligence together, starting from its historical roots and technological foundations, and then delving into the complexities of machine learning and deep learning. We have seen how AI is transforming the world of work and study, discovered the wonders of generative AI that creates images, texts, and videos, and analyzed the landscape of companies and tools shaping this sector.

The Artificial Intelligence Landscape: Tech Giants, Competitive Challenges, and the Tools Democratizing AI

After exploring in previous articles the theoretical foundations of artificial intelligence, the techniques that power it, its applications in the world of work and study, and the incredible possibilities of generative AI, it is time to turn our gaze towards the beating heart of this revolution: the companies that are shaping the future of AI and the tools that make it accessible to all of us.

AI and Content Creation: The Present and Future of Digital Creativity

After exploring the applications of artificial intelligence in the most diverse sectors, from healthcare to finance, from automotive to agriculture, it is natural to turn our gaze towards one of the fields where AI is demonstrating the most revolutionary potential: content creation. Here, artificial intelligence is not limited to automating existing processes, but is literally redefining what it means to be creative, offering tools that allow anyone to produce professional-quality content. From photorealistic images generated by a simple text description, to videos created from an idea, to music composed by algorithms: we are facing an unprecedented democratization of creativity.

Artificial Intelligence Today: From Consolidated Applications to Future Frontiers

After exploring the theoretical and historical foundations of artificial intelligence in the first two articles of our series, it is time to dive into the beating heart of this technological revolution: its concrete applications in the real world. If in past years AI seemed confined to research laboratories and science fiction films, today it has become a constant and often invisible presence in our daily lives, transforming sectors ranging from medicine to entertainment, from finance to robotics.

Machine Learning, Deep Learning, and Generative Algorithms: The Beating Heart of Modern Artificial Intelligence

After exploring the historical and technical foundations of Artificial Intelligence in our previous article, we now delve into the technologies that are truly revolutionizing our world: Machine Learning, Deep Learning, and generative algorithms. These tools are no longer science fiction, but everyday realities shaping the way we work, communicate, and create.