@wealthissimple@beemyli The relationship with your manager should be based on mutual trust and respect. Unfortunately there is no counselor you both can go to fix what is broken. Always interview for other jobs. Make it a habit. It helps you determine if the grass is actually greener somewhere else.
Elon Musk is going to transcend. He is going to figure out how to dump his mind into an AI and the AI is going to manage his companies after he is gone.
@QualiaQuanta Hi Jenny, a hobbyist here. In the geometric wave equation (10) should there be a negative sign? I am trying to understand your work which I find earth shattering.
@ABC On other news Harvard decided only accept students from families with annual incomes above 200,000 given the likelihood of endowment contributions is unlikely if below that level. 😂
@Riazi_Cafe_en Let S_k = number of paths for length k. S_1 is 2 and just check that S_{k+1}=\sum{i=1}^k S_i S_{k+1-i} + S_k by counting the paths the first time is go back to the outer edge. Use a calculator for k=6.
@elonmusk Put both apples on top of each other When you are cutting the bottom apple you can start slicing pieces that you already cut below so you keep cutting in the same stroke. Then observe that sum_k .25^k = 1/3. The cuts always divide by 2 Distribute pieces accordingly.
the #Bookofwhy shows us that, from a policy maker viewpoint, the vaccine saves lives on average. Yesterday, however, it downed on me that we can also answer an individual patient's question "Will the vaccine help me?", using P(Bennefit) as defined here https://t.co/rGHIc93DYO
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Today I am feeling tired and overwhelmed. There are so many things I feel I should be doing, and so many people with questions or requests. I’m sure I’m not even half as busy as many, but it’s still hard. One last meeting & then to find a quiet spot in the sun to recharge.
"Causal Transfer" and "Imitation Learning" is what called my attention to this new paper: https://t.co/NOxsOvt08Y, plus the fact that it approaches the problem scientifically, as opposed to data-fittingly. A prerequisite to data-science. #Bookofwhy