亞伯的實驗筆記 Yabro Experiments

4 key implications of AI are: algorithmic bias, trustworthiness of information, changing notion of privacy and the impacts of AI on the future of work

Neural Networks are characterized by the power of parallel processing and the ability to structure neurons into layers that are specifically developed and trained for specific functions

Categories of machine learning include supervised, unsupervised and reinforcement learning.

Uncertainty can be expressed as probability or odds. A simplest form of Bayes Rule can be expressed as Posterior Odds = Likelihood Ratio x Prior Odds

Key take away is that Game Tree and Minimax Algorithm can be used to calculate the results of each move or node from the bottom up to estimate the value of the game. Too cool.

2 key characteristics of AI are autonomy and adaptivity, and is related to machine learning, deep learning, data science and robotics

所以有的系統都是為了整體而優化，而不是為了個人利益優化。你是為了自己，還是為了大局著想？Are you optimizing for yourself, or optimizing for the whole?

要提升自己的生產力，執行力及迭代改進的速度，就要預備、射擊、瞄準！

讓最好的點子勝出，需要三個遊戲規則：追求事實，公開透明，以及按照可信度分配權重的決策機制。Idea Meritocracy = Radical Truth + Radical Transparency + Believablility Weighted Decision Making

Just in Time的資訊攝取方法，能夠幫助我們有效的解決當下的問題，並且避免浪費過多的時間來累積一堆未來不知道會不會用得上的資訊(Just in Case)