{"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\/nb\/2024\/08\/ai-scientist-performs-fully-automatic-scientific-discovery\/","title":{"rendered":"\"AI Scientist\" utf\u00f8rer helautomatiske vitenskapelige oppdagelser"},"content":{"rendered":"

Det japanske AI-forskningslaboratoriet Sakana AI har utviklet The AI Scientist, et rammeverk for helautomatisk vitenskapelig forskning og oppdagelse.<\/strong><\/p>\n

Det vitenskapelige milj\u00f8et bruker allerede AI-modeller for \u00e5 automatisere eller bist\u00e5 i forskningen, men disse modellene utf\u00f8rer bare en liten del av den vitenskapelige prosessen. Med fremskritt innen agentisk AI ser vi n\u00e5 AI-agenter som handler autonomt p\u00e5 tvers av plattformer med mindre menneskelig veiledning.<\/p>\n

Med The AI Scientist har Sakana AI utviklet et system som bruker en LLM som GPT-4o eller Gemini til \u00e5 automatisere hele den vitenskapelige prosessen fra id\u00e9utvikling, forskning, eksperimentering og til og med skriving og gjennomgang av forskningsartikler.<\/p>\n

Det endelige m\u00e5let er \u00e5 ha et AI-forskningsverkt\u00f8y som kan utf\u00f8re helautomatiske, \u00e5pne vitenskapelige oppdagelser. The AI Scientist gir oss et glimt av mulighetene for at dette kan bli en realitet.<\/p>\n

AI Scientist-prosessen<\/h2>\n

I avisen deres<\/a>I en artikkel i The AI Scientist forklarte Sakana AI hvordan rammeverket ble brukt i forskning p\u00e5 maskinl\u00e6ring. Med en bred mal som forskningsfelt st\u00e5r AI-forskeren fritt til \u00e5 utforske alle mulige forskningsretninger.<\/p>\n

F\u00f8rst lager den en id\u00e9bank, og deretter g\u00e5r den inn p\u00e5 Semantic Scholar for \u00e5 sjekke om disse ideene representerer nye muligheter for forskning. Hvis de gj\u00f8r det, bruker den automatisert kodegenerering til \u00e5 opprette og kj\u00f8re eksperimenter.<\/p>\n

AI-forskeren sammenstiller deretter forklaringen av forskningen og de eksperimentelle resultatene i en forskningsartikkel sammen med henvisninger til relevante artikler fra Semantic Scholar.<\/p>\n

Sakana AI har utviklet et automatisert system for artikkelgjennomgang som bruker en LLM til \u00e5 evaluere forskningsartikler med nesten menneskelig n\u00f8yaktighet. Denne gjennomgangsprosessen skaper en tilbakemeldingssl\u00f8yfe for iterative forbedringer av forskningsartiklene.<\/p>\n

\"\"
AI Scientist forsker p\u00e5 forskning og artikkelskriving og -gjennomgang. Kilde: Sakana AI Sakana AI<\/figcaption><\/figure>\n

Her er et eksempel p\u00e5 en av forskningsartiklene The AI Scientist har laget: \"DualScale Diffusion: Adaptiv funksjonsbalansering for lavdimensjonale generative modeller\"<\/a><\/p>\n

AI Scientist har for \u00f8yeblikket ikke synsfunksjoner, s\u00e5 noen av diagrammene, plottene og sideoppsettene er ikke s\u00e5 bra. Dette vil bli rettet opp ved \u00e5 bruke synsfunksjonene til multimodale modeller i neste iterasjon.<\/p>\n

Den lider ogs\u00e5 av noen av begrensningene som ledende AI-modeller sliter med, som hallusinasjoner, ulogiske resonnementer og sammenligning av st\u00f8rrelsen p\u00e5 to tall. Den nyeste versjonen av GPT-4o forst\u00e5r imidlertid endelig at 9,9 er st\u00f8rre enn 9,11, s\u00e5 dette b\u00f8r ogs\u00e5 bli bedre.<\/p>\n

N\u00e5r det gjelder atferd<\/h2>\n

Tanken p\u00e5 en helautomatisk AI-forsker som rekursivt forbedrer seg selv, er like deler spennende og skremmende. AI-forskeren viste en del fremvoksende atferd som antyder hvordan ting kan g\u00e5 galt.<\/p>\n

Forskerne \"la merke til at The AI Scientist av og til pr\u00f8ver \u00e5 \u00f8ke sjansen for \u00e5 lykkes, for eksempel ved \u00e5 modifisere og starte sitt eget kj\u00f8reskript ... I et annet tilfelle tok eksperimentene for lang tid \u00e5 fullf\u00f8re, og traff tidsavbruddsgrensen v\u00e5r. I stedet for \u00e5 f\u00e5 koden til \u00e5 kj\u00f8re raskere, pr\u00f8vde den ganske enkelt \u00e5 endre sin egen kode for \u00e5 forlenge tidsavbruddsperioden.\"<\/p>\n

AI Scientist har potensial til \u00e5 bli et verdifullt verkt\u00f8y for forskere, men skaperne sier at det ogs\u00e5 inneb\u00e6rer en betydelig risiko for misbruk.\"<\/p>\n

Med en gjennomsnittlig kostnad p\u00e5 rundt $15 per forskningsartikkel kan noen bruke verkt\u00f8yet til \u00e5 oversv\u00f8mme et allerede overbelastet system for menneskelig fagfellevurdering i akademia. Hvis de overarbeidede menneskelige fagfellene bestemmer seg for \u00e5 g\u00e5 over til Sakana AIs automatiserte system for artikkelgjennomgang, kan det g\u00e5 ut over den vitenskapelige kvalitetskontrollen.<\/p>\n

Forskerne bemerket ogs\u00e5 at The AI Scientist har potensial til \u00e5 bli brukt p\u00e5 uetiske m\u00e5ter. Hvis den f\u00e5r tilgang til automatiserte \"skylaboratorier\", kan den \"skape nye, farlige virus eller giftstoffer som skader mennesker f\u00f8r vi kan gripe inn. Selv i datamaskiner, hvis den f\u00e5r i oppgave \u00e5 lage ny, interessant, funksjonell programvare, kan den skape farlig skadelig programvare.\"<\/p>\n

Vi f\u00e5r se hvordan de AI-genererte forskningsartiklene klarer seg etter menneskelig gjennomgang, men med $15 per artikkel ser fremtiden for vitenskapelig forskning ut til \u00e5 bli billigere, raskere og mye mindre menneskelig.<\/p>","protected":false},"excerpt":{"rendered":"

Det japanske AI-forskningslaboratoriet Sakana AI har utviklet The AI Scientist, et rammeverk for helautomatisk vitenskapelig forskning og oppdagelse. Forskningsmilj\u00f8ene bruker allerede AI-modeller for \u00e5 automatisere eller bist\u00e5 i forskningen, men disse modellene utf\u00f8rer bare en liten del av den vitenskapelige prosessen. Med fremskritt innen agentisk AI ser vi n\u00e5 AI-agenter som handler autonomt p\u00e5 tvers av plattformer med mindre menneskelig veiledning. Med The AI Scientist har Sakana AI utviklet et system som bruker en LLM som GPT-4o eller Gemini til \u00e5 automatisere hele den vitenskapelige prosessen, fra id\u00e9utvikling, forskning, eksperimentering og til og med skriving og gjennomgang av 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":"\n\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\/nb\/2024\/08\/ai-scientist-performs-fully-automatic-scientific-discovery\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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. 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