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www.hedweb.com | ||
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idlewords.com
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| | | | | [AI summary] The speaker critiques the overemphasis on AI existential risks, arguing that current AI systems pose more immediate ethical concerns such as surveillance, bias, and power dynamics. They compare the current state of AI research to alchemy, suggesting that we are still in the early stages of understanding the mind and should focus on practical challenges rather than speculative fears. The speaker advocates for better science fiction and more grounded ethical discussions to guide AI development, emphasizing the need for humility and practical solutions over alarmism. | |
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www.abolitionist.com
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| | | | | [AI summary] The text presents a vision for a cruelty-free world through the abolition of suffering, advocating for the use of advanced biotechnology, infotechnology, and nanotechnology to reprogram the source code of nature. It emphasizes the feasibility of this goal, suggesting that the challenges of reprogramming non-human animals are less complex than those of humans. The text also highlights the need for academic research and political action to transition from the current status quo to a compassionate ecosystem. It references religious principles such as Ahimsa and the concept of stewardship, suggesting that these can support the abolitionist project. The text concludes with a call to action for compassion and responsibility in shaping a better future. | |
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scottaaronson.blog
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| | | | | Artificial intelligence has made incredible progress in the last decade, but in one crucial aspect, it still lags behind the theoretical computer science of the 1990s: namely, there is no essay describing five potential worlds that we could live in and giving each one of them whimsical names. In other words, no one has done... | |
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windowsontheory.org
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| | | (Updated and expanded 12/17/2021) I am teaching deep learning this week in Harvard's CS 182 (Artificial Intelligence) course. As I'm preparing the back-propagation lecture, Preetum Nakkiran told me about Andrej Karpathy's awesome micrograd package which implements automatic differentiation for scalar variables in very few lines of code. I couldn't resist using this to show how... | ||
