![\"Karpathy:](\"https:\/\/dataconomy.com\/wp-content\/uploads\/2025\/10\/1111022.jpg\" "\\"Karpathy:")
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OpenAI cofounder Andrej Karpathy stated on the Dwarkesh Podcast that functional AI agents are a decade away from viability. He outlined significant developmental issues, expressing a critical view of their current capabilities and the industry\u2019s direction regarding their implementation.<\/p>\n
During his appearance last week, Karpathy, who is now developing an AI native school at Eureka Labs, detailed his assessment of existing agent technology. \u201cThey just don\u2019t work,\u201d he said, citing a list of fundamental problems. He explained that agents currently \u201cdon\u2019t have enough intelligence, they\u2019re not multimodal enough, they can\u2019t do computer use and all this stuff.\u201d He further elaborated on their cognitive shortcomings, noting, \u201cThey don\u2019t have continual learning. You can\u2019t just tell them something and they\u2019ll remember it. They\u2019re cognitively lacking, and it\u2019s just not working.\u201d Karpathy projected that resolving these multifaceted issues would be a lengthy process, adding, \u201cIt will take about a decade to work through all of those issues.\u201d<\/p>\n
This perspective contrasts with significant industry enthusiasm for agents, which are defined as virtual assistants capable of completing tasks autonomously. These systems are designed to break down complex problems, formulate plans, and execute actions without continuous user prompts. The interest in this technology has led many investors to label 2025 as \u201cthe year of the agent,\u201d anticipating major advancements in the field of autonomous virtual assistants and highlighting a divergence between market expectations and Karpathy\u2019s technical evaluation.<\/p>\n
Following the podcast, Karpathy posted on the social media platform X to provide additional clarity. In his post, he reiterated his frustrations with the current trajectory of development and tooling. \u201cMy critique of the industry is more in overshooting the tooling w.r.t. present capability,\u201d he wrote. He described a prevailing industry vision that he finds problematic, a future where \u201cfully autonomous entities collaborate in parallel to write all the code and humans are useless.\u201d His comments addressed the gap between the conceptual goal of autonomous agents and the practical limitations of current AI models.<\/p>\n
\nMy pleasure to come on Dwarkesh last week, I thought the questions and conversation were really good.<\/p>\n
I re-watched the pod just now too. First of all, yes I know, and I'm sorry that I speak so fast :). It's to my detriment because sometimes my speaking thread out-executes my\u2026 https:\/\/t.co\/bnPSrY74px<\/p>\n
\u2014 Andrej Karpathy (@karpathy) October 18, 2025<\/p>\n<\/blockquote>\n
Karpathy articulated that he does not want to pursue such a future. He instead advocates for a different model of human-AI interaction. In his preferred scenario, AI would not operate as a fully autonomous entity that supplants human involvement. Instead, he envisions a collaborative framework where humans and AI systems work together to perform tasks, including coding and execution. This model emphasizes a partnership that combines the strengths of both to achieve results rather than one focused on complete automation.<\/p>\n
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OpenAI cofounder Andrej Karpathy stated on the Dwarkesh Podcast that functional AI agents are a decade away from viability. He outlined significant developmental issues, expressing a critical view of their current capabilities and the industry\u2019s direction regarding their implementation. During his appearance last week, Karpathy, who is now developing an AI native school at Eureka […]<\/p>\n","protected":false},"author":1,"featured_media":35866,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[],"class_list":{"0":"post-35865","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-technologies"},"_links":{"self":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/35865","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=35865"}],"version-history":[{"count":0,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/35865\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media\/35866"}],"wp:attachment":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media?parent=35865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/categories?post=35865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/tags?post=35865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}