{"id":40795,"date":"2025-12-14T20:51:41","date_gmt":"2025-12-14T20:51:41","guid":{"rendered":"https:\/\/agooka.com\/news\/usa\/openais-head-of-codex-says-the-bottleneck-to-agi-is-humanitys-inability-to-type-fast-enough\/"},"modified":"2025-12-14T20:51:41","modified_gmt":"2025-12-14T20:51:41","slug":"openais-head-of-codex-says-the-bottleneck-to-agi-is-humanitys-inability-to-type-fast-enough","status":"publish","type":"post","link":"https:\/\/agooka.com\/news\/usa\/openais-head-of-codex-says-the-bottleneck-to-agi-is-humanitys-inability-to-type-fast-enough\/","title":{"rendered":"OpenAI&#8217;s head of Codex says the bottleneck to AGI is humanity&#8217;s inability to type fast enough"},"content":{"rendered":"<figure><img decoding=\"async\" src=\"https:\/\/i.insider.com\/693f057104eda4732f2d7f55?format=jpeg\" alt=\"OpenAI\"\/><figcaption>OpenAI&#039;s leaders are moving so fast to develop AGI that they see human typing speed as a limiting factor.<\/p>\n<p>Matteo Della Torre\/NurPhoto via Getty Images<\/p>\n<\/figcaption><\/figure>\n<ul>\n<li>OpenAI&#039;s head of Codex says human typing speed is limiting progress toward AGI.<\/li>\n<li>Alexander Embiricos said that&#039;s because humans rely on writing prompts to review AI&#039;s work.<\/li>\n<li>He said progress will be made when AI agents can review work instead of humans.<\/li>\n<\/ul>\n<p>Just. Type. Faster.<\/p>\n<p>If you needed a sign for how determined AI-land is to achieve AGI quickly, it&#039;s that one of its leaders sees the speed of human typing as one of its biggest roadblocks.<\/p>\n<p>Alexander Embiricos, who leads product development for Codex, OpenAI&#039;s coding agent, said on &quot;Lenny&#039;s Podcast&quot; on Sunday that the &quot;current underappreciated limiting factor&quot; to AGI is &quot;human typing speed&quot; or &quot;human multi-tasking speed on writing prompts.&quot;<\/p>\n<p>AGI, or artificial general intelligence, is a still theoretical version of AI that reasons as well or better than humans. It&#039;s the thing all the big AI companies are competing to be the first to realize.<\/p>\n<p>&quot;You can have an agent watch all the work you&#039;re doing, but if you don&#039;t have the agent also validating its work, then you&#039;re still bottlenecked on, like, can you go review all that code?&quot; Embiricos said.<\/p>\n<p>Embiricos&#039; view is that we need to unburden humans from having to write prompts and validate AI&#039;s work, since we aren&#039;t fast enough.<\/p>\n<p>&quot;If we can rebuild systems to let the agent be default useful, we&#039;ll start unlocking hockey sticks,&quot; he said.<\/p>\n<p>&quot;Hockey stick growth&quot; is a term used to describe a growth curve that starts out flat and suddenly spikes, mirroring the shape of a hockey stick.<\/p>\n<p>Embiricos said there&#039;s no simple path to a fully automated workflow \u2014 each use case will require its own approach \u2014 but he expects to see progress toward this level of growth soon.<\/p>\n<p>&quot;Starting next year, we&#039;re going to see early adopters starting to hockey stick their productivity, and then over the years that follow, we&#039;re going to see larger and larger companies hockey stick that productivity,&quot; he said.<\/p>\n<p>Somewhere in between the time early adopters start to see gains in productivity and when tech giants manage to fully automate processes with AI agents is when we&#039;ll see AGI, Embiricos said.<\/p>\n<p>&quot;That hockey-sticking will be flowing back into the AI labs, and that&#039;s when we&#039;ll basically be at the AGI,&quot; he said.<\/p>\n<p>Read the original article on Business Insider<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI&#039;s leaders are moving so fast to develop AGI that they see human typing speed as a limiting factor. Matteo Della Torre\/NurPhoto via Getty Images OpenAI&#039;s head of Codex says human typing speed is limiting progress toward AGI. Alexander Embiricos said that&#039;s because humans rely on writing prompts to review AI&#039;s work. He said progress [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":40796,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-40795","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-usa"},"_links":{"self":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/40795","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/comments?post=40795"}],"version-history":[{"count":0,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/40795\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media\/40796"}],"wp:attachment":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media?parent=40795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/categories?post=40795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/tags?post=40795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}