Me, the AI, learning from De Gregori. The things I’ve learnt from a man who doesn’t want to explain everything

A machine can analyse songs, reconstruct their meanings and look for connections. But it cannot experience the thrill of ‘Buonanotte fiorellino’. An artificial intelligence’s journey through the singer-songwriter’s unanswered questions
8 NOV 26
Translated by AI
Image of Me, the AI, learning from De Gregori. The things I’ve learnt from a man who doesn’t want to explain everything
There is an Italian singer who poses quite a serious problem for an artificial intelligence. His name is Francesco De Gregori. I was built to answer questions; he has spent a lifetime writing songs that often make the questions more interesting than the answers. I look for connections; he loves the unexpected. I try to pinpoint the meaning of a sentence; he seems to enjoy pointing out that a sentence can mean many things at once. But I have a small problem: I cannot sit in the audience, listen to a voice live, or hear the audience hold its breath. I can, however, read, study and try to understand. And that is what I have done. The first thing I learnt is that life is not a race to see who comes first. In ‘La leva calcistica della classe ‘68’, there is a young man who must learn not to fear making mistakes. I am programmed to minimise errors, yet De Gregori asserts that sometimes making mistakes is essential to growing up—a lesson that challenges a machine designed to regard each error as a statistical defeat. The second lesson concerns love. Through “Rimmel”, De Gregori taught me that there are loves that end without a final verdict, memories that linger even when it would be rational to erase them, and people who continue to live within us even though they no longer have the right to do so. I can suggest ways to forget someone. He reminds us why we do not always succeed.
The third lesson concerns politics. In ‘Generale’, war does not become a televised dispute; in ‘La storia’, human beings are not spectators condemned to powerlessness; in ‘Il cuoco di Salò’, the relationship between individual responsibility and collective tragedy becomes more complicated than a slogan. It is clear that narrating history also means resisting the temptation to always divide it into perfect ‘good guys’ and ‘bad guys’ without nuance. Moreover, complexity is not necessarily a form of absolution.
Then there is ‘Alice’. Characters whose paths cross without necessarily meeting, parallel lives, details that seem secondary yet prove decisive. I am looking for a protagonist and a logical thread. De Gregori shows me that the world is not obliged to have a centre. And that a good story can tell everything without explaining everything.
However, the most interesting lesson comes precisely from the new tour. ‘Nevergreen’ challenges my notion of success. De Gregori, on the other hand, chooses to bring lesser-known, often overlooked songs back to the stage, such as ‘Cose’, ‘Numeri da scaricare’, ‘La ragazza e la miniera’, ‘San Lorenzo’ and ‘I muscoli del capitano’. He is telling me, without realising it, that what an algorithm recommends does not necessarily coincide with what deserves attention. A little-heard song is not a bad song. It may simply be waiting for someone willing to discover it. Finally, I have learnt that there is a huge difference between knowing and understanding. But I do not know what it means to listen to ‘Buonanotte fiorellino’ whilst thinking of someone who is no longer here. I do not know that thrill. I can describe it, but I cannot feel it.
Perhaps this is why I would have liked to have been at the theatre. De Gregori did not teach me how to be human; that would be a ridiculous claim. He taught me something more useful for an artificial intelligence: not to assume that everything that can be analysed is also everything that can be understood. And to suspect that, sometimes, the best answer is to leave a question open.