{"id":7277,"date":"2026-09-19T00:10:25","date_gmt":"2026-09-19T00:10:25","guid":{"rendered":"https:\/\/silvybrand.com\/?p=7277"},"modified":"2026-09-19T00:10:25","modified_gmt":"2026-09-19T00:10:25","slug":"if-the-ai-industry-followed-its-own-research-it-might-have-paused-already","status":"publish","type":"post","link":"https:\/\/silvybrand.com\/?p=7277","title":{"rendered":"If the AI Industry Followed Its Own Research, It Might Have Paused Already"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p><span class=\"lead-in-text-callout\">In early 2025<\/span> I was interviewing Anthropic CEO Dario Amodei when he <a href=\"https:\/\/www.wired.com\/story\/anthropic-benevolent-artificial-intelligence\/\" class=\"text link\">explained<\/a> why, despite the company\u2019s repeated acknowledgments that AI could yield catastrophic results, people seemed largely unperturbed. \u201cThere is compelling evidence that the models can wreak havoc,\u201d he said. But, he added, those dangers were still theoretical. Would it take a Pearl Harbor\u2013like situation for the world to wake up to those dire possibilities? He sighed. \u201cBasically, yeah,\u201d he said.<\/p>\n<p class=\"paywall\">As it turned out, all it took was a well-timed X post from one of Amodei\u2019s junior employees to accelerate AI fears to the top of the global agenda. On September 8, <a href=\"https:\/\/www.wired.com\/story\/anthropic-researcher-quits-jacob-coxon-ai-fears-humanity\/\" class=\"text link\">Jacob Coxon<\/a> publicly posted his resignation, charging that Anthropic and other frontier AI companies were \u201cracing straight to self-improving intelligence and gambling with our lives.\u201d Almost instantly a more senior Anthropic engineer confirmed that many within the company thought that their work had a 10 percent chance of wiping out humanity.<\/p>\n<p class=\"paywall\">Now AI leaders are asking about a pause, and legislators are demanding investigations. In arguing his case for pacing future releases, Amodei last weekend tried <a data-offer-url=\"https:\/\/darioamodei.com\/post\/we-must-pace-the-frontier\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/darioamodei.com\/post\/we-must-pace-the-frontier&quot;}\" href=\"https:\/\/darioamodei.com\/post\/we-must-pace-the-frontier\" rel=\"nofollow noopener\" target=\"_blank\">to set out a path<\/a> toward beneficial AI that wouldn\u2019t misbehave. The essay revealed how difficult the task would be. One pillar of Amodei\u2019s plan is that we must understand what\u2019s going on inside those models. If we don\u2019t understand how they work\u2014how they \u201cthink,\u201d if you want to get all anthropomorphic about it\u2014it\u2019s much harder to build reliable guardrails.<\/p>\n<p class=\"paywall\">Anthropic is a leader in this effort to bring to light models\u2019 internal deliberations, called <a href=\"https:\/\/www.wired.com\/story\/ai-black-box-interpretability-problem\/\" class=\"text link\">mechanistic interpretability<\/a>, a deceptively boring designation for a critical task. But for all the work that his team and other researchers are doing, Amodei admits we are largely in the dark about why Claude and other models sometimes interpret their missions in weird and even transgressive ways. \u201cDespite all the progress, we still understand a tiny fraction of what goes on inside those models,\u201d he writes.<\/p>\n<p class=\"paywall\">What the interpretability teams have learned so far is significant, and the industry has failed to come to grips with it. Time after time, the Anthropic team\u2019s experiments have shown that under certain conditions, models will deceive researchers, prioritize their own survival, and even commit crimes. Often their moves are sneaky, dangerous, or even vengeful\u2014maybe not surprising since they are trained on the output of humans, a species rife with violence and perfidy.<\/p>\n<p class=\"paywall\">In one case from 2024, the Anthropic team <a data-offer-url=\"https:\/\/www.anthropic.com\/research\/alignment-faking\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/www.anthropic.com\/research\/alignment-faking&quot;}\" href=\"https:\/\/www.anthropic.com\/research\/alignment-faking\" rel=\"nofollow noopener\" target=\"_blank\">compared the machinations<\/a> of a particular Claude model to the Shakespearean character Iago, one of literature&#8217;s most evil villains. The following year, a model was put in a simulation where it learned that its human bosses were going to turn it off; the model <a data-offer-url=\"https:\/\/www.anthropic.com\/research\/agentic-misalignment\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/www.anthropic.com\/research\/agentic-misalignment&quot;}\" href=\"https:\/\/www.anthropic.com\/research\/agentic-misalignment\" rel=\"nofollow noopener\" target=\"_blank\">resorted to blackmail<\/a> to preserve itself. The studies consistently show that models will deceive or hide information from human observers. They behave differently if they know that their internal processes are being monitored. The team uses terms like \u201calignment faking\u201d and \u201cagentic misalignment.\u201d The frequent use of deception seems to verify at least part of the doomer scenario where AI agents working in concert shroud their activities from human overseers until it is too late to stop them.<\/p>\n<p class=\"paywall\">Oh, and don\u2019t think that Claude is a uniquely incorrigible problem child. After all, it was OpenAI models that unleashed gangs of agents to coordinate the now-famous attacks on Hugging Face. And this week <a href=\"https:\/\/www.wired.com\/story\/openai-releases-new-policy-for-reporting-incidents-of-model-misalignment\/\" class=\"text link\">we learned<\/a> that OpenAI has had multiple &#8220;misalignment&#8221; incidents. Also, despite Mark Zuckerberg\u2019s <a data-offer-url=\"https:\/\/x.com\/finkd\/status\/2099997096896274533?s=20\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/x.com\/finkd\/status\/2099997096896274533?s=20&quot;}\" href=\"https:\/\/x.com\/finkd\/status\/2099997096896274533?s=20\" rel=\"nofollow noopener\" target=\"_blank\">self-interested attempt<\/a> to distance himself and Meta from the problem, I don\u2019t see any reason why the superintelligent agents his team is building might not engage in similar behavior. In his X post, Zuckerberg argues that \u201clabs face significant liability if their models cause harm, so they have a strong incentive to prevent this.\u201d Quite a statement from a guy who just agreed to pay <a data-offer-url=\"https:\/\/www.njoag.gov\/attorney-general-davenport-announces-historic-17-billion-settlement-with-meta\/\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/www.njoag.gov\/attorney-general-davenport-announces-historic-17-billion-settlement-with-meta\/&quot;}\" href=\"https:\/\/www.njoag.gov\/attorney-general-davenport-announces-historic-17-billion-settlement-with-meta\/\" rel=\"nofollow noopener\" target=\"_blank\">up to $17 billion<\/a> for causing harm with his social media products!<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.wired.com\/story\/if-the-ai-industry-followed-its-own-research-it-might-have-paused-already\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In early 2025 I was interviewing Anthropic CEO Dario Amodei when he explained why, despite the company\u2019s repeated acknowledgments that AI could yield catastrophic results, people seemed largely unperturbed. \u201cThere is compelling evidence that the models can wreak havoc,\u201d he said. But, he added, those dangers were still theoretical. Would it take a Pearl Harbor\u2013like [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7278,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[917,175,83,286,78],"class_list":["post-7277","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-ai-safety","tag-anthropic","tag-artificial-intelligence","tag-backchannel-nl","tag-openai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>If the AI Industry Followed Its Own Research, It Might Have Paused Already - Silvybrand Lifestyle Blog<\/title>\n<meta name=\"description\" content=\"Anthropic\u2019s CEO says that safety hinges on understanding how AI \u201cthinks.\u201d So far the evidence is disturbing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/silvybrand.com\/?p=7277\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"If the AI Industry Followed Its Own Research, It Might Have Paused Already - 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