while listening to the talk, I took notes. (Not exact notes, I probably reworded several things, hopefully not twisting the meaning too much.) Here they are, if

while listening to the talk, I took notes. (Not exact notes, I probably reworded several things, hopefully not twisting the meaning too much.) Here they are, if you don't have time to watch the talk. ----- Google, "where I work right now", they are doing great work to attempt to change the work. At least more than other companies. I work on compilers. I like to work on big data, learn about data mining. Because even for compilers work I need to do large data analysis, and face tremendous scaling problems. Hollywood blockbusters summer 2011: why is this slide here? These summer movies are all crap, because corporates are greedy, they are incremental, not trying to shoot for real quality, real game changers. They chase money. Except for "auteurs": people making money while keeping principle. E.g, Pixar. They show their passion, make every one look bad, but make money as well. Apple is also a great example. Social networks; this is what I work on at Google :-( (lolcatz pictures on the slide). Is this principled? This is fun, and making money. But not principled? Is there anyone in this crowd not working on social networks? This is a hype. Why is everyone working on this? This is money chasing. You are interested in social networks but when you are 60 you will be interested in your health. But then it is too late. You will wish we had solved these fundamental health problems when you are 60. These are hard problems that require math statistics and big data. Human genome project: This will be an inflection point in human history. It is also a data-mining project. Reverse engineer the source code (genome) with respect to how treatments work/are-effective. The people who can solve it, data mining people, are working on crap problems, lolcatz social networks :-( We need to change this culture. In this new culture: everyone is a mathematician. But how do we learn math and science? challeng to O'reilly publish books on math for developers. But, they already do. They have severeal stat and bioinformatics books. These books aren't selling. :-( They are trying to change the world, but we are not helping. Developer popular topics are javascript ipad, php, etc. :-( Let's affect a culture change. short-term: infrastructure and scaling medium-term: math, data mining, bioinformatics long-term: important problems I had a midlife crisis instantly after rehearshing this speech once. I am not following my own advice. I had started work on math every evening. And I am officially quitting that social network job at Google. (Is he also quitting Google?) This way I will be ready when we are in a position to face those important problems in five years.