486 karma · joined October 10, 2016
I am quoting from there: "The international SETI community has established a 0 to 10 scale for quantifying detections of phenomena that may indicate the existence of advanced life beyond the Earth called the "Rio Scale". The BSRC team assesses the Borra-Trottier result to currently be a 0 or 1 (None/Insignificant) on this scale. If the signal were to be confirmed with another independent telescope, its significance would rise, though an exhaustive analysis of other possible explanations, including instrumental phenomena, must be performed before supporting the hypothesis that artificially generated pulses are responsible for the claimed signal."
This is why it is important to plan the sabbatical year so that it is personally beneficial and also not detrimental to the organization and its people.
I have heard that facebook also adopted a similar strategy in the very beginning. I have no doubt that it works.
1. Python is definitely future proof. It is most likely going to be THE language in the near future. Machine learning and AI is most likely where most new breakthroughs will happen, and Python is well positioned to leverage this. Read more here http://blog.hackerrank.com/emerging-languages-still-overshad...
2. Python has a good standard library. It has been around for a while now, so it also has a huge number of high quality third party libraries.
3. Python is slow and this is a serious disadvantage. However writing Pythonic code is an aspect of Python that I absolutely love. I think Guido's guiding principle "code is read more often than it is written" is quite true and writing beautiful code is a thing worth learning. Other people will love you for it.
1. If you are doing something that people have done before, then it is possible to come up with a reasonable estimate. How? Just talk with someone who has done something similar before and they will help you understand the complexity involved. Example : Rubik's cube.
2. If you are doing something that no one has done before, then it is more difficult to come up with an estimate. Example: Unified theory of forces. In the 1970, people assumed that we are very close. It's been 45 years since then and we aren't any closer.
Of course, I have often made the mistake of underestimating tasks of type 1 because I didn't talk to anyone with enough experience. Maybe this has to do with self confidence. I am very confident of my abilities so I usually tend to underestimate things rather than overestimate them.
My favorite episodes so far:
S01E03 : The entire history of you, S02E01 : Be right back, S02E02 : White bear, Special : White Christmas .
This time they added a configuration option for the large file warning threshold. This isn't enough.
Anyone else have the same problem?
This is a valid point. If the version that most companies are using needs a binary classification, then this is a meaningful criticism of the test.
However, note that this is just be a criticism of the test. It says nothing about whether the tests are effective or not, which is what the article tries to prove.
Some more critique on the article.
1. The Myers Briggs test result does not need to be binary. There are variants of the tests that give you a score on each of its 4 axes (Introvert/Extrovert, Sensing/Intuitive, Feeling/Thinking, Judging/Perceptive). For example, see https://www.16personalities.com/free-personality-test
2. The test results do not always talk about positive qualities. For example, here is a discussion of strengths and weaknesses of the ISFJ personality. https://www.16personalities.com/isfj-strengths-and-weaknesse....
Finally, on the point of falsification, I would like to suggest the following test. Take a group of people and let them take the test. Now let the close friends of the test taker read all the personality type descriptions and chose one for the test taker. Find the correlation between the friends' choices and the test results. If the correlation is significant, then the test is meaningful. Otherwise not meaningful.
This article doesn't make sense at times. It says young women are more likely to swear in the workplace and follows this up by saying millennial men are more comfortable with workplace swearing compared to millennial women (hypocrisy alert). They follow this up with a histogram that shows that men are more uncomfortable with workplace swearing. Huh?
The title is clickbait, but the claim is rather interesting. It says that it has 80 % accuracy for transcribing an audio clip compared to 20 % for speech-to-text.
2. I am quoting from the article.
"In addition to the Chandra observation, the Hubble Space Telescope, the European Southern Observatory's Very Large Telescope and the Magellan optical telescopes were used to determine the location of the mass in the clusters. This was done by measuring the effect of gravitational lensing, where gravity from the clusters distorts light from background galaxies as predicted by Einstein's theory of general relativity."
Since they are calculating the mass by using General Theory of Relativity (indirect measurement, you have to trust the theory for this), I don't see how this can be called direct detection.
3. We don't seem to disagree on this :)