{"id":239279,"date":"2026-04-30T11:59:00","date_gmt":"2026-04-30T15:59:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/04\/30\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/"},"modified":"2026-05-05T04:35:18","modified_gmt":"2026-05-05T08:35:18","slug":"this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/04\/30\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/","title":{"rendered":"This startup\u2019s new mechanistic interpretability tool lets you debug LLMs"},"content":{"rendered":"<p><a href=\"https:\/\/www.technologyreview.com\/2026\/04\/30\/1136721\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/\">This startup\u2019s new mechanistic interpretability tool lets you debug LLMs<\/a><\/p>\n<p><a href=\"https:\/\/www.technologyreview.com\/2026\/04\/30\/1136721\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/\">https:\/\/www.technologyreview.com\/2026\/04\/30\/1136721\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-04-30 11:59:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.technologyreview.com\">www.technologyreview.com<\/a><\/p>\n<p>The company says its mission is to make building AI models less like alchemy and more like a science. Sure, LLMs like ChatGPT and Gemini can do amazing things. But nobody knows exactly how or why they work, and that can make it hard to fix their flaws or block unwanted behaviors.\u00a0<\/p>\n<p>\u201cWe saw this widening gap between how well models were understood and just how widely they were being deployed,\u201d Goodfire\u2019s CEO, Eric Ho, tells MIT Technology Review in an exclusive chat ahead of Silico\u2019s release. \u201cI think the dominant feeling in every single major frontier lab today is that you just need more scale, more compute, more data, and then you get AGI [artificial general intelligence] and nothing else matters. And we\u2019re saying no, there\u2019s a better way.\u201d<\/p>\n<p>Goodfire is one of a small handful of companies, including industry leaders Anthropic, OpenAI, and Google DeepMind, pioneering a technique known as mechanistic interpretability, which aims to understand what goes on inside an AI model when it carries out a task by mapping its neurons and the pathways between them. (MIT Technology Review picked mechanistic interpretability as one of its 10 Breakthrough Technologies of 2026.)\u00a0\u00a0<\/p>\n<p>Goodfire wants to use this approach not only to audit models\u2014that is, studying those that have already been trained\u2014but to help design them in the first place.\u00a0\u00a0<\/p>\n<p>\u201cWe want to remove the trial and error and turn training models into precision engineering,\u201d says Ho. \u201cAnd that means exposing the knobs and dials so that you can actually use them during the training process.\u201d<\/p>\n<p>Goodfire has already used its techniques and tools to tweak the behaviors of LLMs\u2014for example, reducing the number of hallucinations they produce. With Silico, the company is now packaging up many of those in-house techniques and shipping them as a product.<\/p>\n<p>The tool uses agents to automate much of the complex work. \u201cAgents are now strong enough to do a lot of the interpretability work that we&#8230;<\/p>\n<p><a href=\"https:\/\/www.technologyreview.com\/2026\/04\/30\/1136721\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This startup\u2019s new mechanistic interpretability tool lets you debug LLMs https:\/\/www.technologyreview.com\/2026\/04\/30\/1136721\/this-startups-new-mechanistic-interpretability-tool-lets-you-debug-llms\/ Publish Date: 2026-04-30 11:59:00&#8230;<\/p>\n","protected":false},"author":1,"featured_media":239280,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/maintenance-ai.jpg?resize=1200,600","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[22],"class_list":["post-239279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-general-intelligence"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/239279"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=239279"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/239279\/revisions"}],"predecessor-version":[{"id":239281,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/239279\/revisions\/239281"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/239280"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=239279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=239279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=239279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}