Brilliant. This distinction is so important, especially with all the buzz around AI spin-offs. How do we truely better equip researchers to build scalable models from the start? Your insights are incredibly valuable.
Hi and sorry for my late reply! By experience, it’s very difficult to get people understand this point. There are a lot of forces that want to accelerate company creation process (like regional incentives) that somehow trick inexperienced founders into incorporating as early as possible. I’ve seen that when they incorporate, they already have a mental model set (thinking they have a startup) when in reality most of the time the have just a technology in search for a problem. It is on this point that we need to work, but the other way round, so developing a culture where problems get defined and verified a bit first, and then solutions are built. Difficult to build in academia if there is not a strong push on cultural change across the whole university!
Brilliant. This distinction is so important, especially with all the buzz around AI spin-offs. How do we truely better equip researchers to build scalable models from the start? Your insights are incredibly valuable.
Hi and sorry for my late reply! By experience, it’s very difficult to get people understand this point. There are a lot of forces that want to accelerate company creation process (like regional incentives) that somehow trick inexperienced founders into incorporating as early as possible. I’ve seen that when they incorporate, they already have a mental model set (thinking they have a startup) when in reality most of the time the have just a technology in search for a problem. It is on this point that we need to work, but the other way round, so developing a culture where problems get defined and verified a bit first, and then solutions are built. Difficult to build in academia if there is not a strong push on cultural change across the whole university!