Intelligenza artificiale: chi non la usa resterà indietro

  Lo stesso vale per l'apprendimento di qualcosa di nuovo. Senza l'intelligenza artificiale, aggiornare le proprie conoscenze richiede in genere la frequenza di corsi, la lettura di manuali e la visione di tutorial, spesso in modo frammentato. Con l'intelligenza artificiale, è possibile dialogare come con un assistente personale in grado di spiegare concetti complessi in modo chiaro, rispondere a domande, fornire esempi personalizzati e collegare nuove informazioni a conoscenze preesistenti, il tutto in tempi eccezionalmente brevi. L'apprendimento diventa più rapido, più continuo e meno dispersivo.

Queste differenze non sono solo percezioni. Uno studio condotto dalla Harvard Business School ha osservato 758 consulenti mentre svolgevano compiti professionali realistici. I risultati hanno mostrato che coloro che utilizzavano strumenti di intelligenza artificiale completavano il 12,2% di compiti in più, lavoravano il 25,1% più velocemente e producevano risultati di qualità superiore del 40%.

 La tabella della Harvard Business School che riassume questi risultati illustra chiaramente i risultati di quello studio.

Zona	Condizione	Risultato quantitativo	Interpretazione
Produttività	Con IA vs. senza IA	+12,2% di attività completate	Aumento della capacità produttiva in compiti adatti all'intelligenza artificiale
Velocità	Con IA vs. senza IA	Tempo di completamento più veloce del +25,1%	Riduzione significativa dei tempi di esecuzione
Qualità	Con IA vs. senza IA	+40% qualità (valutazione umana)	Risultati percepiti come più strutturati e chiari
divario di competenze	Performance basse vs. alte	+43% contro +17%	Effetto di livellamento delle competenze che riduce i divari di prestazione
Fuori dalla frontiera	Compiti complessi	-19 punti percentuali di precisione	Deterioramento delle prestazioni quando l'intelligenza artificiale viene utilizzata oltre il suo ambito appropriato
Modelli di utilizzo	Centauri / Cyborg	Entrambi efficaci	Richiede la consapevolezza dei limiti dell'IA

Ne spiego il motivo nel mio libro:  Intelligenza artificiale per il lavoro, le imprese e l'istruzione .

Edizione inglese:  https://amzn.eu/d/01PCC8ra

Edizione italiana:  https://amzn.eu/d/0baJ2rhV

Artificial Intelligence: Those Who Don’t Use It Will Fall Behind

 The same applies to learning something new. Without AI, updating one’s knowledge typically requires attending courses, reading manuals, and watching tutorials, often in a fragmented way. With AI, one can engage in dialogue as if with a personal assistant capable of explaining complex concepts clearly, answering questions, providing tailored examples, and connecting new information to existing knowledge, all in exceptionally short timeframes. Learning becomes faster, more continuous, and less dispersed.

These differences are not merely perceptions. A study conducted by Harvard Business School observed 758 consultants performing realistic professional tasks. The results showed that those using artificial intelligence tools completed 12.2% more tasks, worked 25.1% faster, and produced results that were 40% higher in quality.

 The table from Harvard Business School summarizing these findings clearly illustrates the outcomes of that study.

Area	Condition	Quantitative Result	Interpretation
Productivity	With AI vs. without AI	+12.2% tasks completed	Increased productive capacity in tasks well suited to AI
Speed	With AI vs. without AI	+25.1% faster completion time	Significant reduction in execution time
Quality	With AI vs. without AI	+40% quality (human evaluation)	Outputs perceived as more structured and clearer
Skill Gap	Low vs. High performers	+43% vs. +17%	Skill-leveling effect that narrows performance gaps
Outside the Frontier	Complex tasks	−19 percentage points accuracy	Performance deterioration when AI is used beyond its appropriate scope
Usage Models	Centaurs / Cyborgs	Both effective	Requires awareness of AI’s limitations

I explain why in my book: Artificial Intelligence for work, business, and education.

English edition: https://amzn.eu/d/01PCC8ra

Italian edition: https://amzn.eu/d/0baJ2rhV

Quantum mechanics is entering the field of AI

Quantum mechanics is entering the field of AI. The union with artificial intelligence becomes decisive when investigating future scenarios, because the future does not require a single “correct” answer, but rather a range of possible scenarios, each accompanied by its own probability. In this domain, quantum physics is thousands of times more powerful than classical physics.

Indeed, the future, by its very nature, is never deterministic; it exists only as a space of possibilities. The quantum computer thus becomes an ideal instrument for providing artificial intelligence with probabilistic maps of the future, on which we must then make decisions.

A new phase is opening, potentially extraordinary, in which human beings not only do not relinquish control, but will instead possess tools capable of confronting the complexity of reality and of the future, with clearly articulated and reasoned choices before them. It is a crucial transition, and perhaps one of the most fascinating chapters in the technological history of Homo sapiens.

The Semiconductor Bible by William Shockley

 

A fundamental concept emerging from this book is that of the hole, or electronic deficit, generated when an electron is removed from the valence-bond structure of a crystal. This phenomenon, together with the presence of excess electrons, has been central to solid-state theory since the work of A. H. Wilson in 1931. However, it was the invention of the transistor in 1948 that gave new technological relevance to the concepts of electrons and holes. From a theoretical standpoint, the hole is an abstraction derived from a more complex system whose study requires the tools of quantum mechanics. From an experimental standpoint, the existence of holes and electrons as charge carriers can be directly observed through techniques developed in transistor electronics.

Details here:https://a.co/d/07taC7jv

Artificial Intelligence: A Monumental Energy Burden for Humanity

 

Artificial Intelligence is often perceived as immaterial, just algorithms and data. In reality, it is deeply physical. It runs on processors, data centers, cooling systems, global networks, and above all, on electricity.

AI stands on three visible pillars: massive datasets, neural networks, and computational power. The fourth pillar is energy. Every model training cycle consumes vast amounts of electricity. Every query from millions, soon billions, of users translates into measurable energy demand. When usage scales globally, consumption scales with it.

Project forward to 2050: if billions interact daily with AI systems, even modest per-interaction energy costs could accumulate into terawatt-hours per year. This excludes infrastructure overhead, cooling, redundancy, and the energy embedded in semiconductor manufacturing. AI is not just software—it is silicon, materials, water, logistics, and constant electrical supply.

Historically, human progress has followed energy transitions: fire, steam, electricity. AI represents a new phase, cognitive electrification. But unlike previous revolutions, it expands instantly at planetary scale. The paradox is clear: AI promises efficiency, yet the infrastructure enabling that efficiency may become a major energy consumer itself.

Artificial Intelligence is not only a technological breakthrough. It is an energy event.

The real question is no longer whether we can build smarter machines.
It is whether we can power them responsibly.

Moore info soon

Who Invented the Microprocessor?

 Computer History Museum, discussion edited by David Laws.

The microprocessor is considered one of the most significant milestones in the history of engineering. The lack of a generally accepted definition of the term has fueled many claims about who invented the microprocessor. The original use of the word microprocessor described a computer that employed a microprogrammed architecture, a technique first described by Maurice Wilkes in 1951. Viatron Computer Systems used the term microprocessor to describe its compact System 21 machines, intended for small business use, in 1968.

Its modern meaning is an abbreviation of micro-processing unit (MPU), that is, the silicon device in a computer that performs all the essential logical operations of a computing system. Popular media often define it as a “computer on a chip.” This article describes a timeline of the early approaches aimed at integrating the main functional blocks of a computer into an ever-smaller number of microelectronic chips, culminating in the concept of the microprocessor.

All details here: https://a.co/d/0aCtFpjT

Silicon Valley: Before, During and After

Silicon Valley: Before, During and After:  https://a.co/d/07fzHUvS 

It is tempting to believe that Silicon Valley appeared suddenly on a map south of San Francisco, an accident of geography, capital, and timing. It did not.

Silicon Valley is not a place. It is the visible outcome of a much longer human process: scientific intuition, technological audacity, spectacular failure, rivalry, risk, and persistence. Long before the name existed, the foundations were already being laid in laboratories where a crystal of germanium no larger than a fingernail held the promise of transforming the world.

This book is not an academic chronicle of electronics, nor a nostalgic celebration of innovation. It is a personal journey into the birth of the contemporary technological age—told from the perspective of someone who encountered it while it was still uncertain, fragile, and undefined. I did not meet Silicon Valley when it was legend. I met it when it was a collection of improvised workshops, industrial sheds, arguments about possibilities, and bold experiments that could easily have failed.

I witnessed the transistor evolve from laboratory curiosity to the fundamental building block of modern civilization. I saw integrated circuits replace entire cabinets of discrete components. I saw the microprocessor transform the computer from a military and industrial instrument into something personal—almost intimate.

But more than the devices, I saw the people. Scientists, engineers, entrepreneurs, visionaries—often embodied in the same individual. I worked alongside them, shared projects, doubts, ambitions, and even family dinners. Innovation was never only technical; it was profoundly human.

At the center of this story stands the transistor, the “semi-metallic little monster,” modest in appearance yet revolutionary in consequence. From miniaturization and reliability to cost reduction, consumer electronics, the space race, and the emergence of the digital society, it became the silent protagonist of the second half of the twentieth century.

Yet the narrative extends beyond technology. It touches deeper questions: the relationship between complexity and intelligence, the difference between computation and consciousness, the meaning of Moore’s Law and its limits, and the uncertain boundary between what machines can simulate and what remains uniquely human.

Silicon Valley, in the end, is not a location. It is a chapter in a much larger human story, one that is still being written.

ARTIFICIAL INTELLIGENCE FOR WORK, BUSINESS, AND EDUCATION

 Available on Amazonhttps://amzn.eu/d/033YeSo9 now

It is neither an enthusiastic nor an ideological book. It is an operational and structured manual designed to navigate methodically through a transformation that is already underway.

We are living through a silent historical transition: people with similar skills are beginning to produce profoundly different results. Not because of talent, but because of method.
Artificial Intelligence does not replace human beings; it amplifies them. And over time, that difference becomes structural.

This book:

• Dismantles the most common misconceptions about Artificial Intelligence

• Clarifies the limits and responsibilities of its use

• Teaches how to build context, not merely issue commands

• Transforms the art of questioning into a strategic competence

• Provides concrete examples and operational frameworks tailored to different roles

Students, teachers, managers, professionals, entrepreneurs, technicians, creatives, farmers, executives, families: each field requires different questions, different priorities, and different responsibilities. The book addresses them through a practical, verifiable, and interdisciplinary approach.

An entire section is dedicated to:

• How to formulate effective questions

• How to analyze and correct typical mistakes

• How to critically evaluate AI-generated responses

• How to avoid the passive delegation of thought

Artificial Intelligence is also presented as a “universal teacher”: always available, customizable, and free of judgment—but only when used consciously.

It does not prescribe what must be done.
It shows what is happening.
And it makes the consequences of choices visible.

In an era where context evolves faster than any single mind, the real divide will not be between those who support or oppose AI, but between those who have understood the method and those who have not.

A manual for an augmented humanity. For those who intend to remain protagonists of their own thinking.

IMPORTANTE MESSAGGIO PER LE STARTUP

L’uso dell’Intelligenza Artificiale dei giovani imprenditori è utilissimo ma altrettanto pericoloso! Nel mio libro dedico due interi capitoli a loro e per quello l’ho pubblicato al minimo prezzo di 4 € (zero royalty) che alzerò in seguito.

LAUREANDI CHE DESIDERANO INIZIARE UNA STARTUP, domande sbagliate, trasformazione della domanda, Domande corrette (uso imprenditoriale dell’IA), dialogo iterativo, ecc.

IA PER FONDATORI IN FASE DI SCALE-UP, Quadro generale, uso strategico dell’IA in scale-up, ecc.

Intelligenza Artificiale per il Lavoro, l’Impresa e la scuola: https://amzn.eu/d/0iik2ZQm

Intelligenza Artificiale per il Lavoro, l’Impresa e la Scuola

Disponibile su Amazon a 4,9 €: https://amzn.eu/d/08nMs993

Della serie: Lab Tecnologia professionale ma accessibile

*****************

Non è un libro entusiastico né ideologico. È un manuale operativo e strutturato per orientarsi con metodo in una trasformazione già in corso.

Viviamo un passaggio storico silenzioso: persone con competenze simili iniziano a produrre risultati profondamente diversi. Non per talento, ma per metodo.
L’IA non sostituisce l’essere umano: lo amplifica. E la differenza, nel tempo, diventa strutturale.

Questo libro:

• Smonta le illusioni più comuni sull’Intelligenza Artificiale
• Chiarisce limiti e responsabilità d’uso
• Insegna a costruire contesto, non solo a dare comandi
• Trasforma l’arte delle domande in competenza strategica
• Fornisce esempi concreti e schemi operativi adattati a ruoli diversi

Studenti, docenti, manager, professionisti, imprenditori, tecnici, creativi, agricoltori, dirigenti, famiglie: ogni ambito richiede domande diverse, priorità diverse, responsabilità diverse. Il libro le affronta con approccio pratico, verificabile e interdisciplinare.

Un’intera sezione è dedicata a:

• Come formulare domande efficaci
• Come analizzare e correggere gli errori tipici
• Come valutare criticamente le risposte dell’IA
• Come evitare la delega passiva del pensiero

L’Intelligenza Artificiale viene presentata anche come “insegnante universale”: sempre disponibile, personalizzabile, priva di giudizio. Ma solo se usata con consapevolezza.

Non dice cosa si deve fare.
Mostra cosa sta accadendo.
E rende visibili le conseguenze delle scelte.

In un’epoca in cui il contesto evolve più rapidamente della singola mente, la vera differenza non sarà tra favorevoli o contrari all’IA, ma tra chi ha compreso il metodo e chi no.

Un manuale per un’umanità aumentata. Per chi vuole restare protagonista del proprio pensiero.

INDICE DEL LIBRO

Intelligenza Quantistica, Articolo TM

 

Intelligenza Quantistica PDF

USARE o non USARE L’INTELLIGENZA ARTIFICIALE

 Si tratta di un mio nuovo ed importante libro in pubblicazione per la settimana di febbraio 10, 2026.

Riguarda uno degli argomenti più attuali sul se, come e quando utilizzare l’intelligenza artificiale. Risale ai primi anni ’80 quando con una mia azienda realizzai una sorta di sistema intelligente per aiutare i miei product manager a gestire gi acquisti di 50.000 prodotti elettronici utilizzare un computer S.38 IBM di massima configurazione, una specie di Amazon ante litteram e che oggi ha solo valore storico. Ne capisco quindi l’importanza che con le capacità di calcolo raggiunte oggi debba essere uno strumento chiave per il futuro di noi tutti. Si tratta di una svolta epocale!

Bozza prima parte

 

LA DOMANDA FONDAMENTALE CHE CI RIGUARDA

Una civiltà quanto a lungo può restare intelligente senza distruggere le condizioni che la rendono possibile?

FANTASCIENZA, INDAGINE TRA AMICI

Nel 2013, tranquillo in pensione, decisi di intraprendere l’avventura di scrittore su Amazon e da appassionato di fantascienze, scrissi il testo del mio primo libro con argomento la fantascienza. Poi, per motivi che sinceramente ancora non capisco, praticamente lo completai con anche la copertina qui allegata e poi decisi di passare alla tecnologia e scienza e non lo pubblicai. Rimettendo a posto l’archivio su un hard disk esterno mi è saltato fuori e rileggendolo devo dire che mi è piaciuto e non lo ricordavo per niente. Ne ho preso qualche capitolo e fatto leggere a ChatGpt 5.2 e … meraviglia delle meraviglie, l’Ia si è complimentata con me per “l’idea nuova ed innovativa”. Ora sono in dubbio se perderci del tempo, rivederlo e pubblicarlo.

In grande sintesi, mi ero rifatto al movimento del Sistema Solare intorno alla Via Lattea, il cui anno galattico dura circa 200 milioni di anni. Partendo dall’estinzione dei dinosauri e passando attraverso la comparsa dell’Homo sapiens, arrivato circa 60 milioni di anni dopo per poi estinguersi quasi subito, si giunge ad altri 60 milioni di anni più tardi, quando si sarebbe sviluppata una seconda umanità, una Umanità 2.0, molto più intelligente. Nel tempo di questa nuova civiltà ne descrivo il comportamento, le invenzioni e le avventure, ovviamente fantastiche, mettendole a confronto con la nostra Umanità 1.0.

Poiché per aggiornarlo sarebbe necessario dedicarvi molto tempo, e dopo aver già dovuto superare le ire della dolce consorte, che mi ha detto testualmente: “lascia perdere e porta alla discarica quella montagna di tue cianfrusaglie” , mi farebbe molto piacere ricevere qualche parere.

EVA'S AND ETTORE'S ENGLISH BOOKS

 Technology for everybody. Electronics, engines, power plants, energy, quantum computing, 5G, medical tools, and much more.

Professional yet accessible technology. Semiconductors, computers, digital, AI, energy, quantum computer, Silicon Valley, etc.

PopularScience. To broaden knowledge on relativity, quantum mechanics, energy, environment, astrophysics, and much more.

The Illustrated Heritage of a Nation: Italy. Half century drawn from 1,000 original issues of the weekly “La Domenica del Corriere”. Stories of Work, Travel, and Life Events. author’s human and professional journey. Adventures. and curious events.

Eva’s books

Childhood, early childhood, and preadolescence. For ages 6 to 12, readers will complement their school knowledge

Professional yet accessible archaeology. It is aimed at the youth and those who love to learn about and uncover ancient cities.

Italian Cuisine at Its Best. Hundreds of recipes, tools and ingredients, guides for students, singles, professionals, and young couples.

Create books for Amazon. Step-by-step guide to format and publish your print book and eBook with a single process on Amazon

All author’s English books

All author’s Italian books

All Eva’s Italian and English books