Just started my internship at Google in the network infra team.
I have to say it has been very eye-opening, in a very literal way.
The networking knowledge I learned from school and books are actually out-dated, compared with the cutting-edge Google and other companies (AWS and other).
MY colleagues are all very nice and knowledgeable. Based on my manager, 70% of the team consists of PhD. There are also a lot of professors. I guess Google runs half of the internet so there are no where better to be than here.
I will keep updating this post and reflect upon my internship here.
It is able to adapt with the brain using Bayes net to detect signal and perform basic motor function. But probing into the inner working of the brain is still unknown. Someone says its fractal-ish an can’t break the black box that’s our brain. But who knows. We always say something is impossible until somebody shows it is.
Make the chances in your favor
Though the national obesity rate is at 35%, by making different choice, the probability of that happening on us is quite different. Take the choices that would give your favorable chances.
How the Nobel dream went away
Very fun and insightful story about the inner working and the competitive nature of the academia world. This story revolves around finding evidence about space inflation theory. Every scientists is trying to rush to the resut and claim victory. To achieve it, they would even refuse to cooperate with other scientists and rush to press conference without peer reviews. In the end, the first team that discovered it has to retract their paper because of incompatable evidence from their competitor.
How to measure the sun spot
This story tells how sun spot counting, one of the oldest scientific observation, can sustain itself that long wihtou accurate result. The answer is suprising: they didn’t update the method to observe the sun spots and still use eye observation to ensure the current data will be compatible with the previous data, thus making sun spot data the longest observation ever recorded. Lesson learned for everyone trying to do super long longitudinal study.
Is it possible to identify Satoshi Nakamoto, the founder of bitcoin. Or I should say founders, since we don’t know if it is a project. Every person has their own way of writing code and if given long enough of code sample, we should be able to identify the style of the coders and find similar code in public repository! Writing something as complex as Bitcoin database, Satoshi Nakamoto must possess great coding ability and must have coded a lot and left codes here and there. Can we use the original bitcoin code as training data and find him?