I am not sure if you are being sarcastic because I don't know how people view IEEE "digital badges", but anything from MOOCs on LinkedIn stopped being valuable a long time ago, if it ever was.
The "vocabulary resolution being low" basically just means within our own limited context, it's low. But that doesn't mean it's a good measure. Heck, I'd say it isn't.
If one were to go about translating brain waves from dogs to meaning, we'd run into a big problem immediately: vocabulary resolution.
What I mean by that is we'll have a very limited number of words to which a dog's brainwaves can be translated to since we aren't able to understand them beyond their basic instincts of food, survival, fear, affection towards their owner etc.
There is just no way to go past what we have already observed by their behavior since dogs can't talk or write.
I do wonder how animals think. Perhaps this resolution would also be the theoretical maximum?
I wonder in the case of Francesca Gino, how much of that was driven by Harvard.
I remember it was technically initiated by the Harvard business school, but it was probably triggered by data colada launching their own investigation.
I don't think an economic model would work. Only a political one would work where the government would redirect a lot of funds towards this, making it a lucrative profession.
Adtech works because there is a lot of money in it. There is a lot of money in it because people seek quick entertainment, and we have a LOT of people driving the demand.
Now compare that to cancer research. There's no short term gratification about it.
> we shouldn't stop insisting that things change for the better
I never said we shouldn't.
What I meant by "Change will always be coming. Embrace it.", is to accept it as a reality, be ready for it and prepare for it. That means, be ready to resist negative change and accept positive change.
Even after successfully resisting negative change, the end state may still be different than before. This is what we have to accept and be ready for, mentally.
Nothing lasts forever. Good times will come and go and so would bad times.
I think as humans we are used to small time frames which are proportional to our own lifetime.
But the world: say climate, population, geology etc. moves at a much different cycle, if at all you can call it a cycle since none of the iterations are exactly the same.
So the lesson is this: change is coming. Change will always be coming. Embrace it.
If you like something, you have to struggle to preserve it as much as you can, for as long as you can, but you can never make it permanent.
I am really sick of AI generated videos. I don't have anything against AI videos per se but the fact that it's so easy to generate videos that people are churning out really really bad quality videos out there.
There's another phenomenon I have been noticing more and more lately: the frequent scene cuts. One scene lasts a mere 3 seconds before being cut to a different scene. Whether it is entirely different scene, or a different angle of the same thing or zoomed in/out.
I am not sure if this phenomenon is due to AI but I sense some correlation there.
By contemporary lesson I assume she means similar lesson but more recent and keeping modern world/logistics in mind.