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Researchers release 36 preprints produced with BootLoops AI tools

News from Science reports researchers used Claude with BootLoops over three months to tackle problems sharing mathematical structures.

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News from Science reports that researchers used Claude with BootLoops, a suite of AI tools that can work with any large language model, to produce 36 preprints in three months. The papers address problems in seemingly unrelated fields, from dating sunspots and analyzing government health policies to attempting to decipher a medieval manuscript.

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1 Source, first seen 2h ago

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Combined views

1.7K

1 Source, first seen 2h ago

13 likes5 saves4 reposts
Problems in 22 scientific fields had solutions hiding in plain sight. An AI has found them Teams led by physicist used “BootLoops” software to produce 36 papers in weeks on everything from linguistics to health policy
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News from Science@NewsfromScienceBorrowing an idea from one research discipline to solve a thorny problem in another is an age-old scientific trick. Charles Darwin’s theory of natural selection, for example, famously inspired algorithms in computer science that “evolve” solutions to complex problems. But such clever leaps are fleetingly rare. For #AI, however, hopping between fields can be a breeze. Researchers highlighted that ability with the release of 36 preprints produced with a single suite of AI tools called BootLoops. The so-called harness can be used with any large language model, such as Anthropic’s Claude or OpenAI’s ChatGPT. And in just 3 months, researchers used Claude outfitted with BootLoops to cross-pollinate at a massive scale, spotting—and precisely solving—problems in seemingly unrelated fields that share the same mathematical structures. The resulting papers range widely, from figuring out the age of sunspots, to analyzing government health policies, to attempting to decipher a mysterious medieval manuscript. Learn more: https://scim.ag/4ybX3zw2h
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    News from Science@NewsfromScienceBorrowing an idea from one research discipline to solve a thorny problem in another is an age-old scientific trick. Charles Darwin’s theory of natural selection, for example, famously inspired algorithms in computer science that “evolve” solutions to complex problems. But such clever leaps are fleetingly rare. For #AI, however, hopping between fields can be a breeze. Researchers highlighted that ability with the release of 36 preprints produced with a single suite of AI tools called BootLoops. The so-called harness can be used with any large language model, such as Anthropic’s Claude or OpenAI’s ChatGPT. And in just 3 months, researchers used Claude outfitted with BootLoops to cross-pollinate at a massive scale, spotting—and precisely solving—problems in seemingly unrelated fields that share the same mathematical structures. The resulting papers range widely, from figuring out the age of sunspots, to analyzing government health policies, to attempting to decipher a mysterious medieval manuscript. Learn more: https://scim.ag/4ybX3zw2h
    Today's Rank

    #9

    Today's Rank

    #9