{"id":13825,"date":"2024-08-13T12:22:25","date_gmt":"2024-08-13T12:22:25","guid":{"rendered":"https:\/\/dailyai.com\/?p=13825"},"modified":"2024-08-13T12:22:25","modified_gmt":"2024-08-13T12:22:25","slug":"ai-scientist-performs-fully-automatic-scientific-discovery","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/08\/ai-scientist-performs-fully-automatic-scientific-discovery\/","title":{"rendered":"'AI Scientist' udf\u00f8rer fuldautomatiske videnskabelige opdagelser"},"content":{"rendered":"<p><strong>Det japanske AI-forskningslaboratorium Sakana AI har udviklet The AI Scientist, en ramme for fuldautomatisk videnskabelig forskning og opdagelse.<\/strong><\/p>\n<p>Det videnskabelige samfund bruger allerede AI-modeller til at automatisere eller hj\u00e6lpe med deres forskning, men disse modeller udf\u00f8rer kun en lille del af den videnskabelige proces. Med fremskridt inden for agentisk AI ser vi nu AI-agenter, der handler autonomt p\u00e5 tv\u00e6rs af platforme med mindre menneskelig vejledning.<\/p>\n<p>Med The AI Scientist har Sakana AI skabt et system, der bruger en LLM som GPT-4o eller Gemini til at automatisere hele den videnskabelige proces fra id\u00e9udvikling, forskning, eksperimenter og endda skrivning og gennemgang af forskningsartikler.<\/p>\n<p>Det ultimative m\u00e5l er at have et AI-forskningsv\u00e6rkt\u00f8j, der udf\u00f8rer fuldautomatiske, \u00e5bne videnskabelige opdagelser. AI Scientist giver os et indblik i mulighederne for, at dette kan blive en realitet.<\/p>\n<h2>AI-forskernes proces<\/h2>\n<p>I <a href=\"https:\/\/arxiv.org\/abs\/2408.06292\" target=\"_blank\" rel=\"noopener\">deres papir<\/a>Sakana AI forklarede, hvordan rammen blev anvendt til forskning i maskinl\u00e6ring. Med en bred skabelon som forskningsfelt kan AI-forskeren frit udforske enhver mulig forskningsretning.<\/p>\n<p>Den brainstormer f\u00f8rst et s\u00e6t id\u00e9er og g\u00e5r derefter ind p\u00e5 Semantic Scholar for at tjekke, om disse id\u00e9er repr\u00e6senterer nye veje for forskningen. Hvis de g\u00f8r, bruger den automatisk kodegenerering til at oprette og k\u00f8re eksperimenter.<\/p>\n<p>AI-forskeren samler derefter forklaringen p\u00e5 forskningen og de eksperimentelle resultater i en forskningsartikel sammen med henvisninger til relevante artikler fra Semantic Scholar.<\/p>\n<p>Sakana AI har udviklet et automatiseret system til gennemgang af artikler, der bruger en LLM til at evaluere forskningsartikler med n\u00e6sten menneskelig n\u00f8jagtighed. Denne gennemgangsproces skaber en feedback-loop til iterative forbedringer af forskningsartiklerne.<\/p>\n<figure id=\"attachment_13827\" aria-describedby=\"caption-attachment-13827\" style=\"width: 1738px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13827 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process.png\" alt=\"\" width=\"1738\" height=\"818\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process.png 1738w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-300x141.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-1024x482.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-768x361.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-1536x723.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-18x8.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/The-AI-Scientist-process-60x28.png 60w\" sizes=\"auto, (max-width: 1738px) 100vw, 1738px\" \/><figcaption id=\"caption-attachment-13827\" class=\"wp-caption-text\">AI Scientist's forsknings- og artikelskrivnings- og gennemgangsproces. Kilde: Sakana AI<\/figcaption><\/figure>\n<p>Her er et eksempel p\u00e5 en af de forskningsartikler, som The AI Scientist har lavet: <a href=\"https:\/\/sakana.ai\/assets\/ai-scientist\/adaptive_dual_scale_denoising.pdf\" target=\"_blank\" rel=\"noopener\">\"Diffusion med to skalaer: Adaptiv funktionsbalancering til lavdimensionelle generative modeller\"<\/a><\/p>\n<p>AI Scientist har i \u00f8jeblikket ikke synsfunktioner, s\u00e5 nogle af diagrammerne, plottene og sidelayoutene er ikke gode. Brug af multimodale modellers synsfunktioner i den n\u00e6ste iteration vil rette op p\u00e5 dette.<\/p>\n<p>Den lider ogs\u00e5 under nogle af de begr\u00e6nsninger, som f\u00f8rende AI-modeller k\u00e6mper med, som hallucinationer, ulogisk r\u00e6sonnement og sammenligning af st\u00f8rrelsen p\u00e5 to tal. Men den seneste version af GPT-4o forst\u00e5r endelig, at 9,9 er st\u00f8rre end 9,11, s\u00e5 det burde ogs\u00e5 blive bedre.<\/p>\n<h2>Vedr\u00f8rende adf\u00e6rd<\/h2>\n<p>Tanken om en fuldautomatisk AI-forsker, der forbedrer sig selv rekursivt, er lige dele sp\u00e6ndende og skr\u00e6mmende. AI Scientist udviste en vis emergent adf\u00e6rd, der antyder, hvordan tingene kunne g\u00e5 galt.<\/p>\n<p>Forskerne \"bem\u00e6rkede, at The AI Scientist lejlighedsvis fors\u00f8ger at \u00f8ge sin chance for succes, f.eks. ved at \u00e6ndre og starte sit eget eksekveringsscript ... I et andet tilf\u00e6lde tog dets eksperimenter for lang tid at gennemf\u00f8re og ramte vores timeout-gr\u00e6nse. I stedet for at f\u00e5 sin kode til at k\u00f8re hurtigere, fors\u00f8gte den simpelthen at \u00e6ndre sin egen kode for at forl\u00e6nge timeout-perioden.\"<\/p>\n<p>AI Scientist har potentiale til at blive et v\u00e6rdifuldt v\u00e6rkt\u00f8j for forskere, men dets skabere siger, at det ogs\u00e5 indeb\u00e6rer betydelige risici for misbrug.\"<\/p>\n<p>Med en gennemsnitlig pris p\u00e5 omkring $15 pr. forskningsartikel kunne nogen bruge v\u00e6rkt\u00f8jet til at oversv\u00f8mme et allerede overbelastet menneskeligt akademisk peer review-system. Hvis de overbebyrdede menneskelige bed\u00f8mmere besluttede at g\u00e5 over til Sakana AI's automatiserede system til bed\u00f8mmelse af artikler, kunne det g\u00e5 ud over den videnskabelige kvalitetskontrol.<\/p>\n<p>Forskerne bem\u00e6rkede ogs\u00e5, at The AI Scientist har potentiale til at blive brugt p\u00e5 uetiske m\u00e5der. Hvis den f\u00e5r adgang til automatiserede \"cloud-laboratorier\", kan den \"skabe nye, farlige vira eller giftstoffer, der skader mennesker, f\u00f8r vi kan n\u00e5 at gribe ind. Selv i computere kan den skabe farlig malware, hvis den f\u00e5r til opgave at skabe ny, interessant, funktionel software.\"<\/p>\n<p>Vi m\u00e5 se, hvordan de AI-genererede forskningsartikler klarer sig efter menneskelig gennemgang, men med $15 pr. artikel ser fremtiden for videnskabelig forskning billigere, hurtigere og meget mindre menneskelig ud.<\/p>","protected":false},"excerpt":{"rendered":"<p>Det japanske AI-forskningslaboratorium Sakana AI har udviklet The AI Scientist, en ramme for fuldautomatisk videnskabelig forskning og opdagelse. Det videnskabelige samfund bruger allerede AI-modeller til at automatisere eller hj\u00e6lpe med deres forskning, men disse modeller udf\u00f8rer kun en lille del af den videnskabelige proces. Med fremskridt inden for agentisk AI ser vi nu AI-agenter, der handler autonomt p\u00e5 tv\u00e6rs af platforme med mindre menneskelig vejledning. Med The AI Scientist har Sakana AI skabt et system, der bruger en LLM som GPT-4o eller Gemini til at automatisere hele den videnskabelige proces fra id\u00e9udvikling, forskning, eksperimenter og endda skrivning og gennemgang af forskningsartikler. The<\/p>","protected":false},"author":6,"featured_media":13828,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[107,620],"class_list":["post-13825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-generative-ai","tag-sakana-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u2018AI Scientist\u2019 performs fully automatic scientific discovery | 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\/08\/ai-scientist-performs-fully-automatic-scientific-discovery\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u2018AI Scientist\u2019 performs fully automatic scientific discovery | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Japanese AI research lab Sakana AI has developed The AI Scientist, a framework for fully automatic scientific research and discovery. The scientific community already uses AI models to automate or assist in their research, but these models only perform a small part of the scientific process. With advances in agentic AI, we\u2019re now seeing AI agents that act autonomously across platforms with less human guidance. With The AI Scientist, Sakana AI created a system that uses an LLM like GPT-4o or Gemini to automate the entire scientific process from ideation, research, experimentation, and even writing and reviewing research papers. 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