Is there any way to block a cocaine addict's dopamine/serotonin receptors similarly to how you block alcohol effects with naltrexone? How would you administer such drug and would it make the addict quit coke or crave bigger even bigger dioses?

You better learn you stupid fucking idiots:

https://youtu.be/3ZPVp0NGEYY?t=731

/sci/ is full of brainlets.

What board has the lowest IQ here? I guess /pol/ right? They believe all the fake news.

I have pituitary gigantism, ask me anything. Pic related not me but same condition. I'm 6'8".

How would society change if we figured out how to make everyone eternally youthful gods that can make matter out of nothing?

Why is this board so obsessed about IQ and IQ tests when every single person here got filtered as brainlets by C++? If you wasted the same amount of time learning C++ rather than trying to solve IQ tests you would be BTFOing most /sci/lets in almost any field of research and you would be able to get juicy research opportunities as most researchers are looking for competent programmers as more /sci/lets are computer iliterates.
Cpp also allows you to write libraries for python which if you apply it to your field will make you have a great accomplishment in your CV rather than just being mediocre with an above average GPA and some research experience in a useless project.
Take the cpp pill /sci/, you will thank me later.

Got prescribed to take Nimesulide two times a day for three days. Am I gonna die now?

when it comes to sentiment analysis, are there any algorithm that does not require manual labeling of training sentences "this one is negative", "this one is positive", ie unsupervised learning? From my understanding you can use BERT for sentiment analysis without labeling, just because it was trained on tons and tons of data, but original BERT training data had to be labelled, right? So if you try to predict some sentence, BERT just uses existing sentiment dictionary? Can someone explain this to me in more detail? Pic unrelated

Had an internship at a big company this past summer and didn't get an offer bc a third of the department got laid off at the end of the summer. The job market is evil, bros. Corporate America is Kafkaesque. Applied to a manual labor job yesterday. Think I'll just work in a warehouse the rest of my life, doesn't seem so bad.

In 1930, Chandra, an Indian student showed mathematically that massive stars explode into a supernova and then collapse down into neutron stars,or black holes. Before that Scientists assumed that all stars collapsed into white dwarfs when they died. Chandra's theory was ridiculed as 'absurd'.

https://www.vox.com/platform/amp/science-and-health/2017/10/19/16497438/s-chandrasekhar-limit-stars-physicist-google-doodle

Now some clowns want to discredit the great scientist Nassim Haramein.