Also, do the world a favor, and don't innovate new weapons. They leave an indelible affect on the collective mind.
95 karma · joined November 28, 2014
Also, do the world a favor, and don't innovate new weapons. They leave an indelible affect on the collective mind.
then we can add the "maybe" suffix to all the rest of our theories
The actual article presents evidence that Americans are getting more comfortable with self-driving cars, and points out that peoples' concerns aren't very valid.
Honestly, I almost didn't read the article because of the title. Fortunately there was a tiny fit of rage in me that clicked to see what the author actually was saying.
Still cool and exciting though!
I think it's still necessary to focus on reducing demand (through education and self-help, not punishment).
But you can do this for yourself. Meditation is the measurement, and continued focus is the goal.
Scientists often assume that you can accurately approximate stuff by neglecting irrelevant parts of the physics (basketballs vs ping pong balls; protons vs electrons). Turns out that ping pong balls greatly affect the outcome and amount of heat/energy dissipation in the basketballs.
This doesn't surprise me too much, since critical behavior often happens in regimes where two separate aggregate effects become relevant. But the details are all still just a big mystery :)
P.S. someone posted a much better description than the OP. I'll reiterate: http://news.mit.edu/2016/heat-loss-fusion-reactors-0121
As far as the 'mathematician's lament' goes though, I think all that is needed is for our culture to foster greater respect (and potentially payment) for teachers. If someone can put passion into their work, these successes tend to arise naturally.
I agree with the author in that a teacher's enthusiasm and perspective, and 'rigidity' in school can compound difficulties.
But as a physicist, the most difficult part of learning math, for me, is overcoming my own mental barriers. I need patience and focus to comprehend even the most simple sentences. If I don't want to learn/strain in the moment, then I won't.
1) Widespread use of advanced AI in robotics/production has the ability to bankrupt the working populace, at which point something closer to pure socialism may take over; not so much an annihilation scenario.
2) AI is weaponizable -- at a certain point, given other technological advances in addition to AI, a relatively small amount of like-minded people will be able to produce unique weapons of mass destruction.
I think the argument against affirmative action is more, morally speaking, addressing the question, "should we use racial preference to fight racial preference?".
- Python has easy development (https://xkcd.com/353/)
- Great libraries (ie, free matlab)
- Cython for efficiency via C
- The algorithms themselves determine speediness (ie numerical methods)
Surely they're not as visceral or reflexive as the author's voices. But I have always found value in empathizing with fantasized mentors, which has given me confidence in my opinions.
Also, Germany has places like Kaufland and Rewe (in addition to Aldi) that have certain items much cheaper than Walmart. I found that milk, rice, bread and cheese were all cheaper there than in the US... and better quality for some reason too.
You can do that with a matrix operation (M*v = v'):
[0 0 1]___[0__ __[1
[0 1 0]___0__=__0
[-1 0 0]__1]__ __0]
In fact, this matrix rotates any vector 90 degrees about the y-axis.
Basis vectors can also be more abstract than that. For instance, they're useful in quantum mechanics for simplifying the schroedinger eq (sometimes from a second order diff eq to a first order one) by changing from a position basis to a momentum basis, in effect rewriting your derivatives from a different point of view.
On the other hand, the question regarding how supernovas combine/mix heavy atoms to form chemicals would be a very interesting PhD thesis. :D