{"id":264,"date":"2024-11-29T17:42:35","date_gmt":"2024-11-29T18:42:35","guid":{"rendered":"https:\/\/fctuckerbatesville.com\/?p=264"},"modified":"2025-01-07T12:47:09","modified_gmt":"2025-01-07T12:47:09","slug":"ai-outperforms-experts-in-predicting-study-outcomes","status":"publish","type":"post","link":"https:\/\/fctuckerbatesville.com\/index.php\/2024\/11\/29\/ai-outperforms-experts-in-predicting-study-outcomes\/","title":{"rendered":"AI Outperforms Experts in Predicting Study Outcomes"},"content":{"rendered":"![\"This](\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\")
<\/a>A new study demonstrates that large language models (LLMs) can predict the outcomes of neuroscience studies more accurately than human experts, achieving 81% accuracy compared to 63% for neuroscientists. Using a tool called BrainBench, researchers tested LLMs and human experts on identifying real versus fabricated study abstracts, finding that the AI models excelled even when neuroscientists had domain-specific expertise. <\/p>\n","protected":false},"excerpt":{"rendered":"
A new study demonstrates that large language models (LLMs) can predict the outcomes of neuroscience…<\/p>\n","protected":false},"author":1,"featured_media":266,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[12],"tags":[],"_links":{"self":[{"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/posts\/264"}],"collection":[{"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/comments?post=264"}],"version-history":[{"count":2,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/posts\/264\/revisions"}],"predecessor-version":[{"id":267,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/posts\/264\/revisions\/267"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/media\/266"}],"wp:attachment":[{"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/media?parent=264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/categories?post=264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fctuckerbatesville.com\/index.php\/wp-json\/wp\/v2\/tags?post=264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"This](\"https:\/\/fctuckerbatesville.com\/wp-content\/uploads\/2024\/11\/ai-neuroscience-data-1155x770-1.jpg\")
<\/a>A new study demonstrates that large language models (LLMs) can predict the outcomes of neuroscience studies more accurately than human experts, achieving 81% accuracy compared to 63% for neuroscientists. Using a tool called BrainBench, researchers tested LLMs and human experts on identifying real versus fabricated study abstracts, finding that the AI models excelled even when neuroscientists had domain-specific expertise. <\/p>\n","protected":false},"excerpt":{"rendered":"