{"id":971055,"date":"2023-10-04T10:18:10","date_gmt":"2023-10-04T17:18:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=971055"},"modified":"2024-04-26T09:21:20","modified_gmt":"2024-04-26T16:21:20","slug":"physics-of-agi","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/physics-of-agi\/","title":{"rendered":"Physics of AGI"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"720\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720.jpg\" class=\"attachment-full size-full\" alt=\"Physics of AGI - abstract background with logo element\" style=\"object-position: 84% 50%\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-300x113.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-1024x384.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-768x288.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-1536x576.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-1600x600.jpg 1600w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/Physics-of-AGI_header_1920x720-240x90.jpg 240w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading has-text-align-left\" id=\"physics-of-agi\">Physics of AGI<\/h1>\n\n\n\n<p class=\"has-text-align-left\">Understanding and improving emergent intelligence in large language models<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<div class=\"wp-block-media-text has-vertical-margin-small  has-vertical-padding-none  is-stacked-on-mobile is-style-border\" style=\"grid-template-columns:30% auto\" data-bi-an=\"media-text\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi.jpg\" alt=\"AI-generated image of a group of scientists standing at desks, reviewing a large whiteboard\" class=\"wp-image-972384 size-full\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi-300x300.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi-150x150.jpg 150w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi-768x768.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi-180x180.jpg 180w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/10\/physics_agi-360x360.jpg 360w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\" data-bi-an=\"media-text\">\n<h2 class=\"wp-block-heading\" id=\"physics-of-agi-1\">Physics of AGI<\/h2>\n\n\n\n<p>We&#8217;re a group of scientists working at Microsoft Research, trying to understand how intelligence emerges in large language models (LLMs), and use this understanding to improve that intelligence.<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Understanding and improving emergent intelligence in large language models We&#8217;re a group of scientists working at Microsoft Research, trying to understand how intelligence emerges in large language models (LLMs), and use this understanding to improve that intelligence.<\/p>\n","protected":false},"featured_media":1029138,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":true,"footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-971055","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[973236,973251,973551,987762,354551,796022,1027065,881232,928674,967830,972744,973224],"related-downloads":[991542,991551,991626,1027059],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Marah Abdin","user_id":39657,"people_section":"Section name 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