{"id":4226,"date":"2026-03-20T10:30:40","date_gmt":"2026-03-20T10:30:40","guid":{"rendered":"https:\/\/ucstrategies.com\/news\/?p=4226"},"modified":"2026-03-20T09:01:35","modified_gmt":"2026-03-20T09:01:35","slug":"ai-cracked-a-15-year-physics-problem-but-only-openais-friends-can-use-it","status":"publish","type":"post","link":"https:\/\/ucstrategies.com\/news\/ai-cracked-a-15-year-physics-problem-but-only-openais-friends-can-use-it\/","title":{"rendered":"AI cracked a 15-year physics problem \u2014 but only OpenAI&#8217;s friends can use it"},"content":{"rendered":"<p>AI solved a 15-year physics puzzle in 12 hours. But the AI that did it? You can&#8217;t use it.<\/p>\n<p><strong>OpenAI&#8217;s GPT-5.2<\/strong> spent half a workday deriving a formula for gluon scattering amplitudes that theoretical physicists assumed were always zero\u2014until <strong>February 13, 2026<\/strong>, when a preprint dropped proving them wrong.<\/p>\n<p>The result: a &#8220;strikingly simple&#8221; closed-form equation that replaces superexponentially growing Feynman diagram calculations with a few-product line. <a title=\"OpenAI announces GPT-5.2 physics breakthrough\" href=\"https:\/\/openai.com\/index\/new-result-theoretical-physics\/\" target=\"_blank\" rel=\"noopener\"><strong>Nima Arkani-Hamed<\/strong><\/a>, who&#8217;d pondered these processes for <strong>15 years<\/strong>, called it a breakthrough. <strong>Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt<\/strong> verified it within days using Berends-Giele recursion and soft theorem checks.<\/p>\n<p>The catch: the AI version that spent <a title=\"Technical details of GPT-5.2 scaffolded reasoning\" href=\"https:\/\/www.mexc.com\/news\/845818\" target=\"_blank\" rel=\"noopener\"><strong>12 hours reasoning<\/strong><\/a> through the proof\u2014an internal scaffolded system OpenAI calls its &#8220;Super Chat&#8221; model\u2014isn&#8217;t available to researchers outside the company&#8217;s approved collaborator list. Public <strong>GPT-5.2 Pro<\/strong> made the initial conjecture. The locked-down version proved it.<\/p>\n<h2>The formula physicists ignored for a decade took AI half a workday<\/h2>\n<p>Before February 2026, hand calculations maxed out at <strong>n=6 gluons<\/strong>\u2014the particles that glue quarks together inside protons. Push beyond that, and the math explodes into dozens of terms per amplitude. Physicists assumed single-minus helicity amplitudes (one gluon spinning negative, the rest positive) were zero at tree level for generic momenta, so they ignored them. They were wrong.<\/p>\n<p>In the half-collinear regime\u2014a special momentum alignment where particles nearly overlap\u2014those &#8220;zero&#8221; amplitudes are nonzero. <strong>GPT-5.2<\/strong> spotted the pattern humans missed, simplifying <strong>n=6<\/strong> expressions from 32-term monsters into compact products. Then it conjectured a general formula valid for all n. The scaffolded version spent 12 hours proving it.<\/p>\n<p>When the <a title=\"Physicist reactions to AI-derived formula\" href=\"https:\/\/openai.com\/index\/new-result-theoretical-physics\/\" target=\"_blank\" rel=\"noopener\">preprint dropped<\/a>, <a href=\"https:\/\/ucstrategies.com\/news\/ai-is-coming-for-these-high-skill-jobs-even-doctors-and-software-engineers-arent-safe\/\">physicists swung from skepticism to awe<\/a>\u2014UC professor <strong>Nathaniel Craig<\/strong> called it &#8220;clearly journal-level research&#8221; within hours. Arkani-Hamed, initially curious whether AI could handle theoretical physics at all, admitted the formulas were simpler than anything he&#8217;d derived by hand. <strong>Andrew Strominger<\/strong> at Harvard, who doubted AI&#8217;s utility for fundamental research, now says it will &#8220;empower us to do more.&#8221;<\/p>\n<h2>Only OpenAI&#8217;s friends got to use the AI that actually worked<\/h2>\n<p>The two-tier system is the real story. Public <strong>GPT-5.2 Pro<\/strong> made the conjecture. The internal scaffolded version\u2014what OpenAI&#8217;s collaborators call &#8220;Super Chat&#8221;\u2014spent 12 hours proving it. Who got access? <strong>Strominger, Radu Lupsasca, David Skinner, Alfredo Guevara, Arkani-Hamed.<\/strong> All named authors on the preprint. All at elite institutions.<\/p>\n<p>Everyone else? Locked out.<\/p>\n<p><strong>OpenAI hasn&#8217;t disclosed access criteria<\/strong> as of March 2026. No pricing. No institutional requirements. No waitlist numbers. The breakthrough relies on <a href=\"https:\/\/ucstrategies.com\/news\/metas-500m-ai-bet-why-this-autonomous-agent-is-making-governments-nervous\/\">proprietary black-box models<\/a> unavailable to independent researchers, locking out anyone without an invitation to OpenAI&#8217;s private Slack.<\/p>\n<p>This isn&#8217;t the first attempt. ChatGPT reportedly fumbled a similar problem &#8220;last spring&#8221; in 2025. Something changed between the public model and the scaffolded version\u2014but OpenAI won&#8217;t say what. The collaborators got the upgraded tool. The rest of the physics community got a blog post.<\/p>\n<h2>The verification problem nobody wants to talk about<\/h2>\n<p>Humans verified the result. That&#8217;s not the same as replicating the discovery process.<\/p>\n<p><strong>Berends-Giele recursion<\/strong> and soft theorem checks confirmed <strong>GPT-5.2&#8217;s<\/strong> formula matches known physics. But independent researchers can&#8217;t reproduce the 12-hour reasoning session because the scaffolded version doesn&#8217;t exist outside OpenAI&#8217;s walls. We can check the answer. We can&#8217;t reproduce the method.<\/p>\n<p>Journals require reproducibility. This isn&#8217;t reproducible. Craig&#8217;s &#8220;journal-level research&#8221; assessment highlights the irony\u2014the result meets publication standards, but the tool that generated it violates the scientific method&#8217;s core principle: anyone should be able to repeat the experiment. The same <a href=\"https:\/\/ucstrategies.com\/news\/according-to-sam-altman-ai-agents-are-finding-cyber-flaws-faster-than-humans-and-thats-a-big-problem\/\">verification problems<\/a> plaguing AI security research now apply to theoretical physics.<\/p>\n<p><strong>Lupsasca<\/strong> plans quantum gravity applications &#8220;by the end of the year.&#8221; But who gets to run those experiments? The researchers with OpenAI invitations, or the ones with the best ideas?<\/p>\n<p>Strominger says AI will &#8220;empower us to do more.&#8221; The unnamed reality: empowerment requires invitation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI solved a 15-year physics puzzle in 12 hours. But the AI that did it? You can&#8217;t use it. OpenAI&#8217;s GPT-5.2 spent half a workday deriving a formula for gluon scattering amplitudes that theoretical physicists assumed were always zero\u2014until February 13, 2026, when a preprint dropped proving them wrong. The result: a &#8220;strikingly simple&#8221; closed-form [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4225,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":{"0":"post-4226","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI cracked a 15-year physics problem \u2014 but only OpenAI&#039;s friends can use it<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ucstrategies.com\/news\/ai-cracked-a-15-year-physics-problem-but-only-openais-friends-can-use-it\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI cracked a 15-year physics problem \u2014 but only OpenAI&#039;s friends can use it\" \/>\n<meta property=\"og:description\" content=\"AI solved a 15-year physics puzzle in 12 hours. 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Most of my reporting looks at second-order effects: what people stop doing, what gets automated quietly, and how responsibility shifts when software starts making decisions for us.","sameAs":["https:\/\/ucstrategies.com\/news\/author\/alex-morgan\/"],"url":"https:\/\/ucstrategies.com\/news\/author\/alex-morgan\/","jobTitle":"AI & Automation Journalist","worksFor":{"@type":"Organization","@id":"https:\/\/ucstrategies.com\/news\/#organization","name":"UCStrategies"},"knowsAbout":["Artificial Intelligence","Large Language Models","AI Agents","AI Tools Reviews","Automation","Machine Learning","Prompt Engineering","AI Coding Assistants"]},{"@type":["Organization","NewsMediaOrganization"],"@id":"https:\/\/ucstrategies.com\/news\/#organization","name":"UCStrategies","legalName":"UC Strategies","url":"https:\/\/ucstrategies.com\/news\/","logo":{"@type":"ImageObject","@id":"https:\/\/ucstrategies.com\/news\/#logo","url":"https:\/\/ucstrategies.com\/news\/wp-content\/uploads\/2026\/01\/cropped-Nouveau-projet-11.jpg","width":500,"height":500,"caption":"UCStrategies Logo"},"description":"Expert news, reviews and analysis on AI tools, unified communications, and workplace technology.","foundingDate":"2020","ethicsPolicy":"https:\/\/ucstrategies.com\/news\/editorial-policy\/","correctionsPolicy":"https:\/\/ucstrategies.com\/news\/editorial-policy\/#corrections-policy","masthead":"https:\/\/ucstrategies.com\/news\/about-us\/","actionableFeedbackPolicy":"https:\/\/ucstrategies.com\/news\/editorial-policy\/","publishingPrinciples":"https:\/\/ucstrategies.com\/news\/editorial-policy\/","ownershipFundingInfo":"https:\/\/ucstrategies.com\/news\/about-us\/","noBylinesPolicy":"https:\/\/ucstrategies.com\/news\/editorial-policy\/"}]}},"_links":{"self":[{"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/posts\/4226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/comments?post=4226"}],"version-history":[{"count":1,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/posts\/4226\/revisions"}],"predecessor-version":[{"id":4229,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/posts\/4226\/revisions\/4229"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/media\/4225"}],"wp:attachment":[{"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/media?parent=4226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/categories?post=4226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ucstrategies.com\/news\/wp-json\/wp\/v2\/tags?post=4226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}