Gabriel takes us through the fascinating history of computer science, from traditional methods and Alan Turing’s test to the current explosion of deep learning and large language models. This is an essential episode for anyone who wants to understand AI beyond the “hype,” even without advanced technical knowledge.
Main topics:
- Exponential evolution: How the AI discipline has transformed from 2011 to today and why traditional methods have given way to complex neural networks.
- AI vs. human intelligence: What does it truly mean to be intelligent? We discuss the capacity to adapt under conditions of uncertainty and why AI still does not equal human creativity.
- Real challenges: From autonomous cars to banking systems – when is AI necessary and when are classic computer science algorithms sufficient?
- Ethics and responsibility: The professor’s dilemma: the fact that we can do something doesn’t mean we should do it. We discuss the risk of technology becoming a weapon.
- An uncertain future: Are we on the brink of a Quantum Computing revolution? Gabriel explains why the next decade will be extremely volatile and full of changes.
Whether you are a CS student or simply curious about how technology shapes our future, this episode will provide you with the “fiery will” needed to understand the new digital era.
This podcast in Romanian is part of PulseZ. #PulseZ
Moderator: Anastasia Sucitu