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by solardev
733 days ago
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This is such a strange line of thought. What would it cost a human to go through the same training data and come up with a similar summary? Across all the fields and languages that Google has access to? Even compared to regular indexing, it's not exactly apples to apples. You still have to go through a dozen or more links and manually read them and filter out spam before getting a good idea. It's be fairer to compare the LLM summary to some other scraper and summarization system. |
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That said Jevons Paradox seems to be a hardcoded feature of the physical underpinnings of modern society, so we're probably headed for some sort of "busybody" machine world with AI's everywhere that are highly efficient but also highly wasteful.
Very few modern process so far has lead to more efficient / scarcer use of earths resources, well mirrored in the ever increasing layers of abstraction in computing where a supercomputer at home can have trouble rendering a basic desktop interface without latency these days.