@AnatoliKopadze: Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the b…

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Summary

Geoffrey Hinton warns that AI is developing unintended capabilities and surpassing humans in cognitive tasks, and the post provides a practical guide for using Claude effectively.

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I saw about AI in the last few months. It will definitely help you understand how it actually works and where it's going. Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it. The part nobody wanted to hear: > AI is already developing abilities its creators didn't intend > in most cognitive tasks it's already ahead of us > the question is no longer if it surpasses us but when > the only decision left is which side of that line you're on Right now the average person opens Claude, types something, gets an answer, closes the tab. They think they're using AI. they're using maybe 10% of it. I went through his entire lecture, built a practical system from what he was describing. 18 steps to actually use Claude the right way, with copy-paste prompts that work today. Full guide in the post below.
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@0xCheshire: "If you sleep soundly tonight, it means you didn't understand a word." This is the warning from Geoffrey Hinton, the godfather who personally built the underlying neural networks of all AI today, after resigning from Google. This 47-minute speech unveils a reality no one wants to face: AI is…

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After resigning from Google, Geoffrey Hinton gave a speech warning that AI is evolving abilities that even its creators cannot predict. Humans have been left behind in most cognitive fields, and it is only a matter of time before machines surpass humans.

Working With AI: A concrete example

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The author shares a concrete example of using Claude AI to debug a parsing regression in hyperscript, highlighting the strengths and weaknesses of AI-assisted development and cautioning against over-reliance.