Ugo Ferrando

Nel 1974 ha introdotto i metodi di miglioramento sociale di L. Ron Hubbard in Italia e da oltre un quarto di secolo è il portavoce dei centri Narconon italiani.

[Ugo Ferrando @ugoferrando]

@elonmusk In the past future...

[Ugo Ferrando @ugoferrando]

@nfer81 🤣🤣🤣

[Ugo Ferrando @ugoferrando]

@nfer81 ❤️

[Ugo Ferrando @ugoferrando]

@BLackgold_5 Gibilterra

[Ugo Ferrando @ugoferrando]

https://t.co/pJ8h1cu6bA

[Ugo Ferrando @ugoferrando]

@PsychSearch Barbari 🤬🤬🤬

[Ugo Ferrando @ugoferrando]

@TrustYou for B&B HOTELS - Hotel Brescia : Ho avuto l'impressione di pernottare il ostello della gioventù anni '60. Sconsigliato fortemente ai maggiori di 18 anni.

[Ugo Ferrando @ugoferrando]

@BunnyWeb_3 @elonmusk City of Genoa

[Nick Ferrando @nfer81]

Claudio Abbado ✨❤️

[Ugo Ferrando @ugoferrando]

@MarioNawfal Type VIIII = God (no energy, matter, space, time)

[CCHR Int @CCHRInt]

“It’s not science. It’s politics and economics. That’s what psychiatry is: politics and economics. Behavior control.
It is not science, it is not medicine.” —Dr. Thomas Szasz, Professor of Psychiatry

[Nick Ferrando @nfer81]

The digital landscape is constantly evolving, demanding developers embrace new paradigms at an ever-increasing pace. My recent 30-day deep dive into the realm of Artificial Intelligence, culminating in the creation of a self-hosted, functional AI knowledge system, serves as a compelling case study in rapid skill acquisition and the transformative power of accessible AI learning tools.
My starting point, while grounded in years of experience with @ubuntu, BASH, and basic server management, presented a significant gap when confronted with the core technologies underpinning modern AI-driven knowledge retrieval. Concepts like vector databases (specifically @qdrant_engine), embedding models, Python @clcoding scripting for AI tasks, real-time data handling with @Firebase, and the containerization of applications using @Docker were largely uncharted territory. Even my very limited familiarity with MySQL felt inadequate for the nuances of this new domain. Orchestrating these disparate elements was the task assigned to @n8n_io, a visual workflow automation platform that was itself a new tool in my arsenal.
My ambitious goal was to construct a Retrieval-Augmented Generation (RAG) system capable of understanding and responding to the vast intellectual output of Professor @AlessioBeltrami, from Milan Bicocca University @unimib. This entailed processing over 12 million words of Italian content, a rich tapestry of academic insights and entrepreneurial wisdom spanning 18 years of his work in the field of content marketing and communication. The self-hosted nature of the project, running on my familiar Ubuntu server, added another layer of complexity, demanding proficiency not only in the AI components but also in their deployment and managemen.
The compressed 30-day timeframe necessitated an intensely focused learning approach. The emergence of sophisticated Large Language Models (LLMs) proved to be the pivotal factor in this accelerated journey. @grok 3, exceptional ability to maintain large conversational context, became my indispensable guide. It patiently demystified complex concepts, provided real-time explanations, and offered invaluable assistance in navigating the intricacies of each new technology. From understanding the mathematical underpinnings of embedding models (such as @OpenAI ones) and the architectural nuances of Qdrant to grasping the syntax of Python for AI tasks and the containerization principles of Docker, Grok3 acted as a personalized, on-demand instructor.
N8N's visual workflow environment provided a crucial advantage in managing the complexity of the project. Its intuitive interface allowed me to connect the various components – data ingestion (leveraging my existing @FFmpeg skills), embedding generation, vector database interaction, and the final RAG implementation – in a logical and manageable manner, abstracting away much of the low-level coding typically associated with such a system.
The 30-day sprint was not without its challenges. The initial learning curves for each technology were steep, marked by error messages and moments of concrete frustration. However, the constant availability of AI-powered guidance enabled rapid troubleshooting and conceptual clarification, significantly compressing the typical learning timeline.
This 30-day journey, from a virtual "zero" in key AI domains to the deployment of a self-hosted AI knowledge engine, highlights a new paradigm in developer learning and project execution. It demonstrates that with the right basics knowledge, full technical word-clearing, gradient and a focused approach, the path to mastering complex technologies can be significantly accelerated, opening up new possibilities for innovation and problem-solving in the rapidly evolving world of AI. The adventure, indeed, has just begun, and the lessons learned in these intense 30 days will undoubtedly shape future endeavors in this exciting field.

[CCHR Int @CCHRInt]

A 1998 NIH conference concluded that ADHD lacked scientific or medical validity—a fact still true 28 years later and long known by the psycho-pharmaceutical industry.

[L. Ron Hubbard @LRonHubbard]

In what would prove a telling prediction, national columnist Walter Winchell proclaimed: “There is something new coming up in April called Dianetics. A new science which works with the invariability of physical science in the field of the human mind. From all indications it will prove to be as revolutionary for humanity as the first caveman’s discovery and utilization of fire.”

Learn about L. Ron Hubbard, the man who discovered the exact anatomy of the human mind: https://t.co/vDErTEEJDq

[CCHR Int @CCHRInt]

Psychiatrists now admit that psychiatry's biological model of 'diagnosis', such as the recently debunked 'chemical imbalance theory' (used to justify drugging millions for decades) is unscientific. But they waited until now. Collin Ross has been exposing this for decades.

[PsychSearch @PsychSearch]

"Psychiatry: where 'chemical imbalance' is a guess dressed as science, and pills turn feelings into profits."

[Ugo Ferrando @ugoferrando]

@nfer81

[Ugo Ferrando @ugoferrando]

Non perdiamo tempo https://t.co/awjQPLj2FU via @YouTube