I see, that does sound pretty different
1,916 karma · joined June 5, 2018
I see, that does sound pretty different
With quantum mechanics it's just infinity in the opposite direction, going infinitely small. My very pedestrian understanding is that the field of quantum mechanics came about because people were having trouble explaining the behavior of atomic particles, particularly electrons, using newtonian mechanics, and quantum mechanics were able to explain everything in a more comprehensive framework. At first I always found the idea that electrons are 'nowhere' until they are observed very mysterious, but it made a lot more sense when I understood that probability densities are involved in qm equations. There's usually a similar source of confusion when we move from "probabilities" of discrete distrubutions, which is quite easy to understand, to probability densities, which can be done by taking limit of number of possible states to infinity, and where you can get "probabilities" larger than one.
Some of the books I've read recently touch upon things like quantum mechanics and black-holes and that kind of stuff.
As a decently technical person but with no formal training in physics, can I generally interpret the study of things like black-holes and quantum physics as the idea of understanding how the physical world behaves as we take limit towards zero or infinity? Is that a correct way to think about it?
For example, I've studied probability and statistics somewhat formally in undergrad. The idea that electrons taken on a distribution and are technically "nowhere" until they are observed (schrodingers cat) sounds just like the description of a continuous variable, or alternatively where you take limit on a discrete variable such that it approaches a continuous distribution. The probability of the variable being any value is technically 0 but its state can be observed. It's hard to "truly" comprehend in a realistic since but its what allows us to build statistical models of things
> The marketing team’s plan was not to do anything and the night before we opened Facebook to the professional market (anyone with a @microsoft.com, @dell.com, etc…) I emailed TechCrunch to let Michael Arrington know to publish it in the morning. He ended up publishing it that night (I was at Coachella and will never again attend) before the actual product was released in the morning. I immediately notified the e-team and assumed full responsibility.
I guess the guy disagreed with the marketing strategy and did something he thought would be more effective for the company.
Curious on how others weigh in on this. Occasionally you hear stories of startups in the early stage, where some guy goes against some decision that was sub-optimal and it makes all the difference. Are these stories usually just positive selection bias and its better everyone falls in line? Of course, i'm not saying what this guy did was necessarily the right choice either.
Wasn't there some guy who made a local version of some delivery service or something and was profitable on day one? I remember there was a hn link on it that came up a couple of times
For my cs phd I looked mostly at regression problems using deep learning models. I didn't look at this specifically but I still think it would be neat if there is some way to translate the rigid proofs and theorems for classical linear models to deep regression models.
General question, how do you balance between trying to get everyone's feedback vs just being more fast and efficient?especially in the early stages where time is usually pretty critical
try: launch_rocket()
except: explode_rocket()