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"[In Italy,] continuing to do 'what has always been done' is not convenient: living on rents and clinging to the past would equate to a slow suicide, because in the meanwhile risks would rise and the economy would get exposed to potential adverse shocks. If not challenged, the “I hope I get through” mentality will lead to shipwreck or irrelevance – which is the same". Original quote: "[In Italia,] continuare a fare ‘ciò che si è sempre fatto’ non conviene; vivere di rendita, aggrappati al passato, sarebbe un lento suicidio, perché nel frattempo i rischi aumentano e l’economia viene esposta a potenziali shock avversi. Se elevata a sistema, la mentalità dell’“io speriamo che me la cavo” porterà al naufragio o all’irrilevanza – che è lo stesso".
Alessandro Magnoli Bocchi (born 25 April 1968), is an Italian economist, investment professional and manager.
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"(...) throughout the Peninsula, informal and personal social ties are more important than formal and impersonal ones. When the community (Gemeinschaft, in German) counts more than society (Gesellschaft), family relationships - making up for the absence of the State - prevail over collective responsibilities, weakening civil society". Original quote: "(...) lungo tutta la Penisola, i legami sociali informali e personali sono più importanti di quelli formali e impersonali. Quando la comunità (Gemeinschaft, in tedesco) conta più della società (Gesellschaft), le relazioni familistiche – supplendo all’assenza dello Stato – prevalgono sulle responsabilità collettive, indebolendo la società civile".
"By nature, ‘complex systems’ grow or decay at exponential rates. As suggested by the butterfly-effect in chaos theory, a negligible change in an ‘original state’ can lead to a radically different ‘resulting state’. In other words, a minor event might have large, unpredictable effects - depending on its: a) position in network (i.e.: initial conditions); b) degree of connectivity (i.e.: ease of interaction); and c) size of the impact".
"The future is not a straight-line-projection of the past. Yet, most people - even scientists - think in linear, cause-effect patterns. The real world works differently: events follow discontinuous random walks, not predictable trends. At best, we can only assess the ‘likelihood of forthcoming events’. A rule-based approach is often misleading; to forecast future developments, we need probabilistic - rather than deterministic – thinking".