{"id":8060,"date":"2026-05-24T02:49:03","date_gmt":"2026-05-24T02:49:03","guid":{"rendered":"https:\/\/profitiraj.ba\/rethinking-the-agent-harness-oreilly\/"},"modified":"2026-05-24T02:49:03","modified_gmt":"2026-05-24T02:49:03","slug":"rethinking-the-agent-harness-oreilly","status":"publish","type":"post","link":"https:\/\/profitiraj.ba\/bs\/rethinking-the-agent-harness-oreilly\/","title":{"rendered":"Rethinking the Agent Harness \u2013 O\u2019Reilly"},"content":{"rendered":"<div class=\"af1ed52b2bea0830e8f3a5b7a892ea1d\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<div data-type=\"_mgwidget\" data-widget-id=\"2030988\">\r\n<\/div>\r\n<script>(function(w,q){w[q]=w[q]||[];w[q].push([\"_mgc.load\"])})(window,\"_mgq\");\r\n<\/script>\n<\/div>\n<p><img decoding=\"async\" src=\"https:\/\/www.oreilly.com\/radar\/wp-content\/uploads\/sites\/3\/2026\/05\/0642572383770_This_Week_in_AI_Cover-scaled.jpg\" \/><\/p>\n<div id=\"postContent-content\">\n<p class=\"wp-block-paragraph\">We kicked off our new weekly sequence <em>This Week in AI<\/em> on Monday, and we coated a number of floor in half-hour, together with an AI mannequin that discovered safety holes quicker than many years of human auditing, a knowledge heart in Utah the dimensions of two Manhattans, and a sensible argument for why the harness you construct round a mannequin now issues greater than which mannequin you choose.<\/p>\n<p>Listed below are a couple of takeaways from the dialog between host Eric Freeman, college member at UT Austin and a longtime good friend of O\u2019Reilly, and visitor John Berryman, founding father of Arcturus Labs, an early manufacturing engineer on GitHub Copilot, and coauthor of O\u2019Reilly\u2019s <em>Immediate Engineering for LLMs<\/em>. Watch all the episode to seek out out why you need to be constructing your personal agent and why John believes finally there might be no web for people.<\/p>\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<p><div class=\"youtube-embed\" data-video_id=\"g4cfjz5AKxY\"><iframe loading=\"lazy\" title=\"This Week in AI: Rethinking the Agent Harness\" width=\"696\" height=\"392\" src=\"https:\/\/www.youtube.com\/embed\/g4cfjz5AKxY?feature=oembed&#038;enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/p>\n<\/figure>\n<h2 class=\"wp-block-heading\"><strong>AI\u2019s safety drawback is now a coverage drawback<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">You\u2019ve in all probability already heard about Mythos. Anthropic\u2019s inside testing of the frontier mannequin surfaced 1000&#8217;s of beforehand unknown safety vulnerabilities throughout main working methods, browsers, and monetary infrastructure, together with a 27-year-old bug in OpenBSD. Anthropic selected to not launch the mannequin publicly and as an alternative launched Undertaking Glasswing, a restricted program giving monitored entry to a small group of trusted companions for defensive patching.<\/p>\n<p class=\"wp-block-paragraph\">That call moved quick in Washington. In roughly six weeks, the dialog shifted from the light-touch nationwide AI coverage launched in March to reported White Home discussions of an govt order overview course of modeled on how the FDA handles medicine. Safety researcher Bruce Schneier has questioned whether or not Mythos is uniquely succesful right here or whether or not related outcomes are achievable with cheaper public fashions, however as Freeman famous (paraphrasing Schneier), both means, it\u2019s an issue that\u2019s coming.<\/p>\n<h2 class=\"wp-block-heading\">The compute race is getting stranger<\/h2>\n<p class=\"wp-block-paragraph\">Anthropic leased xAI\u2019s whole Colossus 1 supercluster in Memphis: greater than 200,000 GPUs and 300 megawatts of energy. A month earlier than that deal, Anthropic expanded its settlement with Google and Broadcom for 3.5 gigawatts of capability coming on-line in 2027. For context, that\u2019s roughly 10 occasions the facility output of the Colossus 1 deal, in a single contract. After this episode aired, Anthropic introduced that that deal has been expanded to Colossus 2 as properly.<\/p>\n<p class=\"wp-block-paragraph\">Field Elder County, Utah, simply accredited a 40,000-acre AI information heart referred to as the Stratos mission, backed by investor and TV character Kevin O\u2019Leary (a.ok.a. Mr. Great). It\u2019s deliberate for 9 gigawatts at full buildout. That\u2019s a footprint greater than twice the dimensions of Manhattan, powered by the equal of 9 industrial nuclear reactors. And like many information heart offers going ahead, together with Colossus above, it was accredited over native protests.<\/p>\n<p class=\"wp-block-paragraph\">Infrastructure at this unbelievable scale takes years to come back on-line, and the businesses making these bets are pricing in a world the place mannequin functionality retains scaling. Whether or not that assumption holds will decide quite a bit about what\u2019s economically viable to construct within the subsequent decade.<\/p>\n<h2 class=\"wp-block-heading\"><strong>The harness issues greater than the mannequin<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">John was available to rethink the agent harness, which as he identified, entered a brand new part with the step change in mannequin functionality that occurred in November and December of final 12 months. He took Eric by means of the arc of AI product improvement, from doc completion and chat loops to tool-calling brokers, DAG-based workflows, and now the harness period represented by instruments like Claude Code. Every development added functionality, John famous, but in addition complexity, and every generated a brand new class of issues round reliability and management. In our present second, which John has dubbed the \u201cage of the unharnessed agent,\u201d brokers at the moment are inside attain of everybody, not simply software program builders.<\/p>\n<p class=\"wp-block-paragraph\">The payoff of this \u201cunharnessed\u201d period is management. John described a consumer engagement the place he changed a bespoke software with a skills-driven agent. Now area consultants with no improvement expertise can learn the agent\u2019s conduct written in plain English and higher perceive it. As John defined,<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Slightly than constructing a bespoke agent.\u00a0.\u00a0., I simply constructed one thing that was simply the agent harness\u2014the agent\u2014and I simply gave it expertise that describe what principally I discovered in interviewing their consultants, how they&#8217;d work with these brokers. And it labored completely. Not solely does the agent keep on monitor and do what it must do as of late, however it\u2019s coded, so far as my consumer is anxious, in English.<\/p>\n<p>The consultants don\u2019t need to complain to builders \u201cthis doesn\u2019t work.\u201d The consultants can have a look at the English description of what\u2019s occurring and see issues, and possibly even repair it themselves. And I\u2019m actually excited to principally give that energy into the fingers of the those that know finest find out how to change it, the consultants.<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">That\u2019s a distinct relationship between the consultants and the software than something a wrapped industrial product affords.<\/p>\n<p class=\"wp-block-paragraph\">As Eric identified, latest Stanford analysis helps this broader level: Efficiency gaps between a naked mannequin and a well-designed harness now typically matter greater than which underlying mannequin you\u2019re utilizing. The benchmark that used to dominate shopping for choices, which mannequin scores highest, has been displaced by a more durable query about which harness matches the duty.<\/p>\n<p class=\"wp-block-paragraph\">John closed with a demo of his private agent shifting from an Obsidian pocket book into Wikipedia and again, carrying context throughout environments. He used it for example an idea he referred to as the \u201copen agent protocol,\u201d his time period for a not-yet-existing customary the place an agent receives environment-specific expertise because it strikes between contexts. The protocol doesn\u2019t exist but, however the demo made the course clear.<\/p>\n<h2 class=\"wp-block-heading\"><strong>What\u2019s subsequent<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Be part of us and a rotating lineup of knowledgeable company for weekly dwell software demos and deeper dives into the matters that matter in AI. We\u2019re taking subsequent week off for Memorial Day within the US, however we\u2019ll be again on June 1 with host Andreas Welsch and company Maya Mikhailov and Doug Shannon to chop by means of one other week of AI headlines and separate what really drives enterprise worth from what seems good in a demo however goes nowhere in manufacturing. Our first few episodes are free and open to all in the event you\u2019d wish to attend dwell\u2014register right here.<\/p>\n<p class=\"wp-block-paragraph\">We\u2019ll proceed to share full episodes and publish our takeaways right here on Radar every Friday. You may as well watch or hear on YouTube, Spotify, Apple, or wherever you get your podcasts.<\/p>\n<\/div>\n<!--CusAds0-->\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>We kicked off our new weekly sequence This Week in AI on Monday, and we coated a number of floor in half-hour, together with an AI mannequin that discovered safety holes quicker than many years of human auditing, a knowledge heart in Utah the dimensions of two Manhattans, and a sensible argument for why the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8062,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.oreilly.com\/radar\/wp-content\/uploads\/sites\/3\/2026\/05\/0642572383770_This_Week_in_AI_Cover-1600x1600.jpg","fifu_image_alt":"","footnotes":""},"categories":[1],"tags":[535,7428,384,1259],"class_list":["post-8060","post","type-post","status-publish","format-standard","has-post-thumbnail","category-world-news","tag-agent","tag-harness","tag-oreilly","tag-rethinking"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - 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