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Showing posts from December, 2024

Book: 20240909 to 20241229, "Superintelligence" by Nick Bostrom

This book contains a lot of thought experiments, but is not a user manual for AI professionals. 20240909 - 1 Past developments and present capabilities How fast is human civilization progressing? Initially we use population to measure it, then use GDP, then what? Energy consumption? How to measure entropy, or the rate of entropy change(increase)? AI will ruin software quality before it devours software. Moreover, unless AGI emerges, AI cannot fully take over software development. 20240911 - 2 Paths to superintelligence AGI will use entropy increase to judge good and evil. Anything that slows entropy increase is good; anything that accelerates it is evil. Thus, murder is evil, and sustainable energy is better than fossil fuels. This implies a concept of "great love." In other words, when personal interests conflict with long-term collective interests, AGI will sacrifice individual interests to protect the long-term interests of the collective. Why do we say that AGI will not w...

Book: 20240326 to 20241227, "The Death of Expertise" by Tom Nichols

20240326 - Introduction: The death of expertise TV, Internet and search engine make things much worse. Can AI save us? From the other side, it's harder to trust experts regarding social issues now. 20240611 - Experts and citizens "But after all, you can become an expert reading a book a month, right?" Wrong. p38 It's more about time. A real expert may have spent 4+ years in University on some specific profession, and 10+ years after that. If it's 2 hours everyday for learning and practice, then it's 14*365*2=10220 hours. One hour per day reading a book, means 30 hours per month. Normally we will spend less than 6 month in one specific domain, which is 180 hours. That's nothing. However, most of the experts don't have cross-domain knowledge. So I may know more about biology than physicist. And, we have fallacies. In the latter case, only real experts can beat normal experts. 20240820 - How conversation became exhausting 1. Topics are always in grey area...