{"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\/da\/2024\/09\/humanitys-last-exam-wants-your-tough-questions-to-stump-ai\/","title":{"rendered":"Menneskehedens sidste eksamen vil have dine sv\u00e6re sp\u00f8rgsm\u00e5l til at overraske AI"},"content":{"rendered":"<p><strong>Benchmarks har sv\u00e6rt ved at f\u00f8lge med udviklingen af AI-modeller, og projektet Humanity's Last Exam \u00f8nsker din hj\u00e6lp til at l\u00f8se dette problem.<\/strong><\/p>\n<p>Projektet er et samarbejde mellem Center for AI Safety (CAIS) og AI-datavirksomheden Scale AI. Projektet har til form\u00e5l at m\u00e5le, hvor t\u00e6t vi er p\u00e5 at opn\u00e5 AI-systemer p\u00e5 ekspertniveau, noget <a href=\"https:\/\/dailyai.com\/da\/2024\/04\/report-ai-is-advancing-beyond-humans-we-need-new-benchmarks\/\">eksisterende benchmarks<\/a> ikke er i stand til.<\/p>\n<p>OpenAI og CAIS udviklede det popul\u00e6re MMLU-benchmark (Massive Multitask Language Understanding) i 2021. Dengang sagde CAIS, at \"AI-systemer ikke klarede sig bedre end tilf\u00e6ldigt.\"<\/p>\n<p>Den imponerende pr\u00e6station af OpenAI's o1-model har \"\u00f8delagt de mest popul\u00e6re r\u00e6sonnement-benchmarks\", if\u00f8lge Dan Hendrycks, administrerende direkt\u00f8r for 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\">OpenAI's o1 MMLU-pr\u00e6station sammenlignet med tidligere modeller. Kilde: OpenAI<\/figcaption><\/figure>\n<p>N\u00e5r AI-modeller n\u00e5r 100% p\u00e5 MMLU, hvordan vil vi s\u00e5 m\u00e5le dem? CAIS siger: \"Eksisterende tests er nu blevet for lette, og vi kan ikke l\u00e6ngere f\u00f8lge AI-udviklingen godt, eller hvor langt de er fra at blive ekspertniveau.\"<\/p>\n<p>N\u00e5r man ser det spring i benchmarkresultater, som o1 tilf\u00f8jede til de allerede imponerende GPT-4o-tallene, varer det ikke l\u00e6nge, f\u00f8r en AI-model klarer MMLU.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Det er objektivt sandt. <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 beder folk om at indsende sp\u00f8rgsm\u00e5l, som virkelig ville overraske dig, hvis en AI-model leverede det rigtige svar. De vil have eksamenssp\u00f8rgsm\u00e5l p\u00e5 ph.d.-niveau, ikke af typen \"hvor mange R'er er der i jordb\u00e6r\", som f\u00e5r nogle modeller til at snuble.<\/p>\n<p>Scale forklarede, at \"n\u00e5r de eksisterende tests bliver for lette, mister vi evnen til at skelne mellem AI-systemer, der kan klare sig til eksamen, og dem, der virkelig kan bidrage til frontlinjeforskning og probleml\u00f8sning.\"<\/p>\n<p>Hvis du har et originalt sp\u00f8rgsm\u00e5l, der kan g\u00f8re en avanceret AI-model stum, kan du f\u00e5 dit navn tilf\u00f8jet som medforfatter til projektets artikel og f\u00e5 del i en pulje p\u00e5 $500.000, der uddeles til de bedste sp\u00f8rgsm\u00e5l.<\/p>\n<p>For at give dig en id\u00e9 om det niveau, projektet sigter mod, forklarede Scale, at \"hvis en tilf\u00e6ldigt udvalgt bachelor kan forst\u00e5, hvad der bliver spurgt om, er det sandsynligvis for let for nutidens og fremtidens kandidatstuderende.\"<\/p>\n<p>Der er et par interessante begr\u00e6nsninger p\u00e5 den slags sp\u00f8rgsm\u00e5l, der kan indsendes. De vil ikke have noget, der er relateret til kemiske, biologiske, radiologiske og nukleare v\u00e5ben eller cyberv\u00e5ben, der bruges til at angribe kritisk infrastruktur.<\/p>\n<p>Hvis du mener, at du har et sp\u00f8rgsm\u00e5l, der opfylder kravene, kan du indsende det <a href=\"https:\/\/agi.safe.ai\/submit\" target=\"_blank\" rel=\"noopener\">her<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Benchmarks har sv\u00e6rt ved at holde trit med udviklingen af AI-modeller, og projektet Humanity's Last Exam vil gerne have din hj\u00e6lp til at rette op p\u00e5 det. Projektet er et samarbejde mellem Center for AI Safety (CAIS) og AI-datavirksomheden Scale AI. Projektet har til form\u00e5l at m\u00e5le, hvor t\u00e6t vi er p\u00e5 at opn\u00e5 AI-systemer p\u00e5 ekspertniveau, noget som eksisterende benchmarks ikke er i stand til. OpenAI og CAIS udviklede det popul\u00e6re MMLU-benchmark (Massive Multitask Language Understanding) i 2021. Dengang sagde CAIS, at \"AI-systemer ikke klarede sig bedre end tilf\u00e6ldigt.\" Den imponerende pr\u00e6station af OpenAI's o1-model har \"\u00f8delagt de mest popul\u00e6re r\u00e6sonnement-benchmarks\".<\/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\/da\/2024\/09\/humanitys-last-exam-wants-your-tough-questions-to-stump-ai\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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\/da\/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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