{"id":378743,"date":"2026-04-07T00:54:12","date_gmt":"2026-04-07T00:54:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/378743\/"},"modified":"2026-04-07T00:54:12","modified_gmt":"2026-04-07T00:54:12","slug":"from-folding-boxes-to-fixing-vacuums-gen-1-robotics-model-hits-99-reliability","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/378743\/","title":{"rendered":"From folding boxes to fixing vacuums, GEN-1 robotics model hits 99% reliability"},"content":{"rendered":"<p>Robotic machine learning company Generalist has <a href=\"https:\/\/generalistai.com\/blog\/apr-02-2026-GEN-1\" rel=\"nofollow noopener\" target=\"_blank\">announced GEN-1<\/a>, a new physical AI system that it says \u201ccrosses into production-level success rates\u201d on \u201ca broad range of physical skills\u201d that used to require the dexterity and muscle memory of human hands. Generalist is also touting the new model\u2019s ability to respond to disruptions by improvising new moves and \u201cconnect[ing] ideas from different places in order to solve new problems.\u201d<\/p>\n<p>GEN-1 builds on Generalist\u2019s previous GEN-0 model, which the company <a href=\"https:\/\/generalistai.com\/blog\/nov-04-2025-GEN-0\" rel=\"nofollow noopener\" target=\"_blank\">touted in November<\/a> as a proof of concept for the applicability of scaling laws in robotics training, showing how more pre-training data and compute time improve post-training performance. But while large language models have been able to <a href=\"https:\/\/medium.com\/nlplanet\/two-minutes-generative-ai-when-will-llms-run-out-of-training-data-ff151dfb8410\" rel=\"nofollow noopener\" target=\"_blank\">effectively process trillions of words<\/a> collectively written on the Internet as part of their training, robotic models don\u2019t have a similar, readily accessible source of quality data about how humans manipulate objects.<\/p>\n<p>To help solve this problem, Generalist has relied on <a href=\"https:\/\/boldstart.vc\/news\/generalistai-when-robots-start-to-improvise-welcome-to-boldstart\/\" rel=\"nofollow noopener\" target=\"_blank\">\u201cdata hands\u201d<\/a>, a set of wearable pincers that capture micro-movements and visual information as humans perform manual tasks. Generalist now claims it has collected over half a million hours and \u201cpetabytes of physical interaction data\u201d to help train its physical model.<\/p>\n<p>\n      Shut up and take my money (out of my wallet) (then put it back in).<\/p>\n<p>The result is an autonomous system that is precise enough to <a href=\"https:\/\/www.youtube.com\/watch?v=WkFIrB2dI50\" rel=\"nofollow noopener\" target=\"_blank\">put money into a wallet<\/a> and adaptable enough to <a href=\"https:\/\/www.youtube.com\/watch?v=EP_8DAHyqMM\" rel=\"nofollow noopener\" target=\"_blank\">fold laundry<\/a> or <a href=\"https:\/\/www.youtube.com\/watch?v=WgIdj9c4pA8\" rel=\"nofollow noopener\" target=\"_blank\">sort auto parts<\/a>. The model now reaches 99 percent success rates on repetitive but delicate mechanical tasks such as folding boxes, packing phones, and <a href=\"https:\/\/www.youtube.com\/watch?v=iFdMXFHw0hU\" rel=\"nofollow noopener\" target=\"_blank\">servicing robot vacuums<\/a>, according to Generalist, and at roughly three times the speed of the previous GEN-0 model. GEN-1 can hit these marks after only about an hour spent adapting its pretraining to \u201crobot data\u201d that applies to its specific robotic embodiment, according to the company.<\/p>\n<p>Recovering from mistakes<\/p>\n<p>In the past, complex robotic systems have usually relied on carefully pre-programmed motions or been trained to focus exclusively on a single task with little variation. What sets GEN-1 apart, Generalist says, is the ability for a single model to improvise based on its previous experience and respond to disruptions naturally, even when they are \u201cwell outside the training distribution.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Robotic machine learning company Generalist has announced GEN-1, a new physical AI system that it says \u201ccrosses into&hellip;\n","protected":false},"author":2,"featured_media":378744,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,85,46,125],"class_list":{"0":"post-378743","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-il","12":"tag-israel","13":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/378743","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=378743"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/378743\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/378744"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=378743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=378743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=378743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}