{"id":14249,"date":"2024-09-17T09:55:41","date_gmt":"2024-09-17T09:55:41","guid":{"rendered":"https:\/\/dailyai.com\/?p=14249"},"modified":"2024-09-17T09:55:41","modified_gmt":"2024-09-17T09:55:41","slug":"humanitys-last-exam-wants-your-tough-questions-to-stump-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/09\/humanitys-last-exam-wants-your-tough-questions-to-stump-ai\/","title":{"rendered":"Menneskehetens siste eksamen vil at dine vanskelige sp\u00f8rsm\u00e5l skal overraske AI"},"content":{"rendered":"<p><strong>Benchmarks sliter med \u00e5 holde tritt med utviklingen av AI-modeller, og prosjektet Humanity's Last Exam \u00f8nsker din hjelp til \u00e5 l\u00f8se dette problemet.<\/strong><\/p>\n<p>Prosjektet er et samarbeid mellom Center for AI Safety (CAIS) og AI-dataselskapet Scale AI. Prosjektet har som m\u00e5l \u00e5 m\u00e5le hvor n\u00e6r vi er \u00e5 oppn\u00e5 AI-systemer p\u00e5 ekspertniv\u00e5, noe <a href=\"https:\/\/dailyai.com\/nb\/2024\/04\/report-ai-is-advancing-beyond-humans-we-need-new-benchmarks\/\">eksisterende referanseverdier<\/a> ikke er i stand til.<\/p>\n<p>OpenAI og CAIS utviklet den popul\u00e6re MMLU-referansen (Massive Multitask Language Understanding) i 2021. P\u00e5 den tiden, sier CAIS, \"presterte AI-systemer ikke bedre enn tilfeldig.\"<\/p>\n<p>Den imponerende ytelsen til OpenAIs o1-modell har \"knust de mest popul\u00e6re resonneringsbenchmarkene\", if\u00f8lge Dan Hendrycks, administrerende direkt\u00f8r i CAIS.<\/p>\n<figure id=\"attachment_14254\" aria-describedby=\"caption-attachment-14254\" style=\"width: 1442px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-14254 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU.png\" alt=\"\" width=\"1442\" height=\"494\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU.png 1442w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU-300x103.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU-1024x351.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU-768x263.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU-18x6.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/o1-MMLU-60x21.png 60w\" sizes=\"auto, (max-width: 1442px) 100vw, 1442px\" \/><figcaption id=\"caption-attachment-14254\" class=\"wp-caption-text\">OpenAIs o1 MMLU-ytelse sammenlignet med tidligere modeller. Kilde: OpenAI OpenAI<\/figcaption><\/figure>\n<p>N\u00e5r AI-modeller n\u00e5r 100% p\u00e5 MMLU, hvordan skal vi da m\u00e5le dem? CAIS sier: \"Eksisterende tester er n\u00e5 blitt for enkle, og vi kan ikke lenger f\u00f8lge AI-utviklingen p\u00e5 en god m\u00e5te, eller hvor langt de er fra \u00e5 bli ekspertniv\u00e5.\"<\/p>\n<p>N\u00e5r du ser hoppet i referanseverdiene som o1 har lagt til de allerede imponerende GPT-4o-tallene, vil det ikke ta lang tid f\u00f8r en AI-modell vinner MMLU.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Dette er objektivt sett sant. <a href=\"https:\/\/t.co\/gorahh86ee\">pic.twitter.com\/gorahh86ee<\/a><\/p>\n<p>- Ethan Mollick (@emollick) <a href=\"https:\/\/twitter.com\/emollick\/status\/1835873784676438330?ref_src=twsrc%5Etfw\">17. september 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Humanity's Last Exam ber folk sende inn sp\u00f8rsm\u00e5l som virkelig ville overrasket deg hvis en AI-modell leverte det riktige svaret. De vil ha eksamenssp\u00f8rsm\u00e5l p\u00e5 doktorgradsniv\u00e5, ikke sp\u00f8rsm\u00e5l av typen \"hvor mange R-er er det i jordb\u00e6r\", som noen modeller sliter med.<\/p>\n<p>Scale forklarte at \"Etter hvert som de eksisterende testene blir for enkle, mister vi evnen til \u00e5 skille mellom AI-systemer som kan klare seg p\u00e5 eksamen, og de som virkelig kan bidra til nyskapende forskning og probleml\u00f8sning.\"<\/p>\n<p>Hvis du har et originalt sp\u00f8rsm\u00e5l som kan overraske en avansert AI-modell, kan du f\u00e5 navnet ditt lagt til som medforfatter av prosjektets artikkel og ta del i en pott p\u00e5 $500 000 som vil bli tildelt de beste sp\u00f8rsm\u00e5lene.<\/p>\n<p>For \u00e5 gi deg en id\u00e9 om hvilket niv\u00e5 prosjektet sikter mot, forklarte Scale at \"hvis en tilfeldig utvalgt student kan forst\u00e5 det som blir spurt om, er det sannsynligvis for enkelt for dagens og morgendagens ferske LLM-er.\"<\/p>\n<p>Det er noen interessante begrensninger p\u00e5 hva slags sp\u00f8rsm\u00e5l som kan sendes inn. De vil ikke ha noe som er relatert til kjemiske, biologiske, radiologiske eller kjernefysiske v\u00e5pen, eller cyberv\u00e5pen som brukes til \u00e5 angripe kritisk infrastruktur.<\/p>\n<p>Hvis du tror du har et sp\u00f8rsm\u00e5l som oppfyller kravene, kan du sende det inn <a href=\"https:\/\/agi.safe.ai\/submit\" target=\"_blank\" rel=\"noopener\">her<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Benchmarks sliter med \u00e5 holde tritt med utviklingen av AI-modeller, og prosjektet Humanity's Last Exam \u00f8nsker din hjelp til \u00e5 fikse dette. Prosjektet er et samarbeid mellom Center for AI Safety (CAIS) og AI-dataselskapet Scale AI. Prosjektet har som m\u00e5l \u00e5 m\u00e5le hvor n\u00e6r vi er \u00e5 oppn\u00e5 AI-systemer p\u00e5 ekspertniv\u00e5, noe eksisterende benchmarks ikke er i stand til. OpenAI og CAIS utviklet den popul\u00e6re MMLU-referansen (Massive Multitask Language Understanding) i 2021. P\u00e5 den tiden, sier CAIS, \"presterte AI-systemer ikke bedre enn tilfeldig.\" Den imponerende ytelsen til OpenAIs o1-modell har \"\u00f8delagt de mest popul\u00e6re resonneringsbenchmarkene\".<\/p>","protected":false},"author":6,"featured_media":14255,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-14249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Humanity\u2019s Last Exam wants your tough questions to stump AI | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/09\/humanitys-last-exam-wants-your-tough-questions-to-stump-ai\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Humanity\u2019s Last Exam wants your tough questions to stump AI | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Benchmarks are struggling to keep up with advancing AI model capabilities and the Humanity\u2019s Last Exam project wants your help to fix this. The project is a collaboration between the Center for AI Safety (CAIS) and AI data company Scale AI. The project aims to measure how close we are to achieving expert-level AI systems, something existing benchmarks aren\u2019t capable of. OpenAI and CAIS developed the popular MMLU (Massive Multitask Language Understanding) benchmark in 2021. Back then, CAIS says, \u201cAI systems performed no better than random.\u201d The impressive performance of OpenAI\u2019s o1 model has &#8220;destroyed the most popular reasoning benchmarks,\u201d\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2024\/09\/humanitys-last-exam-wants-your-tough-questions-to-stump-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-17T09:55:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/Humanitys-Last-Exam.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta 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