- Conferences and participants have increased exponentially over the last few years.
- Students in AI/ML graduate programs have similarly increased.
- Huge numbers of companies are hiring AI/ML graduates.
- What constitutes a true advance AI/ML is difficult to determine. Deep learning is fairly ad-hoc method - a tweak to an existing method that allows you exceed soto (state of the art) is the simplest way to get attention. But that's not a method and so you're many others pushing similar tweaks also.
This environment in particular seems like it would exacerbate all the ordinary pressures to cheat found in the academic environment. It has something of the quality of the last blow-out of a bubble. And the thing is that even with deep learning being real, the dynamics seem fated to push things to the point that expectation are sufficiently far past reality that the whole collapses, for a bit.
- Conferences and participants have increased exponentially over the last few years.
- Students in AI/ML graduate programs have similarly increased.
- Huge numbers of companies are hiring AI/ML graduates.
- What constitutes a true advance AI/ML is difficult to determine. Deep learning is fairly ad-hoc method - a tweak to an existing method that allows you exceed soto (state of the art) is the simplest way to get attention. But that's not a method and so you're many others pushing similar tweaks also.
This environment in particular seems like it would exacerbate all the ordinary pressures to cheat found in the academic environment. It has something of the quality of the last blow-out of a bubble. And the thing is that even with deep learning being real, the dynamics seem fated to push things to the point that expectation are sufficiently far past reality that the whole collapses, for a bit.