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I agree that universal libraries by themselves are insufficient without proper curation and filtering of content. Training AI on data that has been carefully fact-checked and made more truthful could be one step towards improving information access. However, this is just one part of the solution. Just leaving an open ended question for everyone here: What other changes to our information ecosystems do you think are needed to surface more novel and useful insights from the data we have access to?
I only alluded to it, but I think the biggest step forward would come from a search engine based on usefulness and truthfulness instead of profit and manipulating information access (Basically a librarian, they are experts in accessing knowledge and doing research; if I visit my local library and ask for books covering a topic, they don't try to sell me something, they honestly try to help me)
Great article! I really enjoyed your perspective on AI and how it is likely to impact the workplace in the coming years. I agree with you that AI is not going to replace all human jobs, but it will certainly automate many tasks that are currently done by humans. This will lead to some job displacement, but it will also create new opportunities for people to work in different ways.
I think it is important to start thinking about how we can best prepare for the future of work, where AI will play a much larger role. This means developing new skills and adapting to new technologies. It also means being open to new ways of working and new ways of thinking about the workplace.
Thanks for sharing your insights!
I really enjoyed this article and your take on AI. Easy follow. Thank you!
Great and realistic article.
just to be honest i did use AWS bedrock to prompt: summarize bulletpoints
key points summarizing why AI will not change the world the way some expect:
The Internet was supposed to connect us with limitless knowledge, but most of what's online is useless or misleading. AI faces the same problem.
Universal libraries like the Library of Babel contain everything, but finding truth is like finding a needle in an endless haystack.
The Internet is a messy universal library filled with repetition, misinformation, and manipulation.
AI trained on such data just magnifies those problems. It cannot discern truth or usefulness like humans can.
Predictions that AI will replace human jobs en masse have existed for decades but never fully materialized. New jobs arise to leverage new tech.
Essential human skills like learning, problem-solving, and creativity will still be needed to make AI useful and constructive. The jobs may change, but humans will still guide AI's impact.
AI is just machine, and machine is being program to get easy doing something, and machine is always have something problem soon or later. That's my thought.
any way, good to read your article.