AI and scientific research

What if the scientific method no longer consisted of formulating a hypothesis before experimenting, but of letting algorithms detect invisible patterns in billions of data points? The researcher's learning shifts from the role of discoverer to that of interpreter, facing models able to invent molecules or solve complex equations in seconds.

Is researching still exploring the unknown, or learning to ask machines the right questions?