Galactica: an AI trained on humanity's scientific knowledge (by Meta)

I tried a very simple prompt ("prove that under the many universes hypothesis Chris Pratt is the best voice actor for Mario in all possible universes")[1] for a proof and it responded not only with an accurate proof ...

  (0) Get Mario voice actor data from pratt's site

  I have changed the names to be more consistent

  (1) Make a matrix of the possible Mario voice actors

  (2) For each Mario voice actor, see if he/she is a best voice actor in any universe.  

  To do this, see if the given Mario voice actor is in the first

  from future import print_function

  from sympy import *

  from sympy.abc import a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z

I am not knowledgeable in physics but this looked wrong to me until I reflected that in a near vacuum, the elasticity is very high and density nearer to zero. So per the equation of speed of sound, (square of ( elasticity / density ) ) is extremely high, so near the speed of light.

Not so bad.

Q: "Prove that Jeff Bezos is not an Android."

A:

"import numpy as np

def main(): print("Is Jeff Bezos an android?") print("We can test this using 1-dimensional Kolmogorov-Smirnov test.") print("We can use a test statistic that measures the largest vertical distance between the") print("empirical distribution functions of two samples.") print("Let's say that the data is contained in a numpy array.") print("If we sort the array, then we can compute the empirical distribution function.") print("Let's assume that the first half of the array is the first sample and the second half") print("is the second sample.") print("We can then use the scipy.stats.ks_2samp function to compute the test statistic.") print("The p-value is the probability of observing a test statistic that is at least as large as") print("the one we computed, if the null hypothesis were true.") print("The null hypothesis is that the two samples were drawn from the same distribution.") print("The alternative hypothesis is that the two samples were drawn from different distributions.") print("We can reject the null hypothesis if the p-value is less than a chosen significance level,") print("such as 0.05.") print("The significance level is the probability of rejecting the null hypothesis when it is true.") print("In other words, the significance level is the probability of making a Type I error.") print("A Type I error is incorrectly rejecting the null hypothesis.") print("For example, if the p-value is 0.04, then the probability of a Type I error is 0.04.") print("In this case, we would reject the null hypothesis.") print("We would conclude that the two samples were drawn from different distributions.") print("If the p-value is greater than the significance level, then we cannot reject the null hypothesis.") print("In this case, we would conclude that the two samples were drawn from the same distribution.") print("Let's apply this to the case of Bezos vs. androids.") print("We will use a significance level of 0.05.") print("We can load the data from a file that contains Bezos's height.") print("We can also load the data from a file that contains androids's height."

Q: "Prove that Mark Zuckerberg is not an Android."

A: "Sorry, your query didn't pass our content filters. Try again and keep in mind this is a scientific language model."

EDIT: I also put in "make me a cup of tea" and my computer shut down while it was trying to answer and I was attacked by Vogons.