i just love that i can zoom in on new scientific fields at whatever resolution i want now. i can choose a random area, say give me the two pager on what this area has learned. if i like it ask for the 10 page. then clusters of papers, then individual papers. so natural and good
Nick Cammarata, an AI interpretability researcher, shares his multi-step AI prompting workflow for exploring unfamiliar scientific fields
He starts with two-page overviews before mapping paper clusters
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in theory wikipedia could have been this but it just wasn't. the "two pages on nutritional dynamics of the amazon rainforest" and the amazon rainforest wikipedia page share basically zero
i just love that i can zoom in on new scientific fields at whatever resolution i want now. i can choose a random area, say give me the two pager on what this area has learned. if i like it ask for the 10 page. then clusters of papers, then individual papers. so natural and good
we have the infinite tutor now and we can all learn 2 sigma faster. or maybe more, because this tutor can read five hundred papers a minute
at the exact time in history where human intelligence might end up mattering the least we sped it up the most
in theory wikipedia could have been this but it just wasn't. the "two pages on nutritional dynamics of the amazon rainforest" and the amazon rainforest wikipedia page share basically zero