{"id":6617,"date":"2025-10-11T23:53:54","date_gmt":"2025-10-11T22:53:54","guid":{"rendered":"https:\/\/villpress.com\/?p=6617"},"modified":"2025-10-11T23:58:53","modified_gmt":"2025-10-11T22:58:53","slug":"andrew-tulloch-joins-meta","status":"publish","type":"post","link":"https:\/\/villpress.com\/cs\/andrew-tulloch-joins-meta\/","title":{"rendered":"Andrew Tulloch Joins Meta After Co-Founding Thinking Machines Lab"},"content":{"rendered":"<p><strong>AI researcher and co-founder <a target=\"_blank\" rel=\"nofollow\" href=\"https:\/\/villpress.com\/goto\/https:\/\/tullo.ch\/about\/\">Andrew Tulloch<\/a> has officially left Thinking Machines Lab (TML) to rejoin Meta, marking one of 2025\u2019s biggest talent moves in artificial intelligence.<\/strong><br>Tulloch, best known for his work in <em>machine learning, pretraining, and reasoning systems<\/em>, is returning to the company where he spent over a decade building scalable AI infrastructure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>Why AI Talent Wars Are Heating Up<\/strong><\/h2>\n\n\n\n<p>The global race for AI supremacy isn\u2019t just about models, it\u2019s about people.<br>From Silicon Valley to Singapore, top researchers are being poached with billion-dollar offers and stock-heavy incentives.<\/p>\n\n\n\n<p>For startups like <strong>Thinking Machines Lab (TML)<\/strong>, co-founded in 2025 by former OpenAI CTO <strong>Mira Murati<\/strong> and Tulloch himself, retaining talent has become a serious challenge.<br>When Tulloch\u2019s move to Meta was confirmed on <strong>October 11, 2025<\/strong>, insiders described it as both \u201cexpected and inevitable.\u201d<\/p>\n\n\n\n<p><em>Meta\u2019s aggressive hiring strategy underscores how <strong>AI expertise has become the new oil<\/strong>, scarce, strategic, and fiercely competed for.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>Who Is Andrew Tulloch<\/strong><\/h2>\n\n\n\n<p>Think of Tulloch as a bridge between <strong>mathematical theory and large-scale engineering<\/strong>.<br>An Australian computer scientist and Cambridge-trained mathematician, he has spent more than a decade designing the backbone systems that power modern AI.<\/p>\n\n\n\n<p>Before co-founding TML, Tulloch worked at:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Meta\u2019s FAIR Lab (2012\u20132023)<\/strong> \u2013 Building scalable AI training infrastructure.<\/li>\n\n\n\n<li><strong>OpenAI (2023\u20132025)<\/strong> \u2013 Contributing to <strong>GPT-4<\/strong>, especially its reasoning and pretraining systems.<\/li>\n<\/ul>\n\n\n\n<p>His deep focus on \u201clarge-scale problems in machine intelligence\u201d turned him into one of the few engineers fluent in both math and model architecture, a rare combination that major labs value immensely.<\/p>\n\n\n\n<p>ALSO READ: <a href=\"https:\/\/villpress.com\/meta-expands-ai-monetization-conversations-with-meta-ai\/\">Meta Expands AI Monetization: Conversations with Meta AI to Personalize Ads on Facebook and Instagram<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>How Thinking Machines Lab (TML) Changed the Game<\/strong><\/h2>\n\n\n\n<p>Tulloch co-founded <strong>Thinking Machines Lab (TML)<\/strong> in February 2025 with Mira Murati and other ex-OpenAI veterans.<br>The lab focused on bridging research and production through open-model tools,  essentially <strong>making AI fine-tuning accessible to smaller teams and enterprises<\/strong>.<\/p>\n\n\n\n<p>Their biggest innovation:<br><strong>Tinker, a Python API for distributed GPU fine-tuning using LoRA adapters.<\/strong><\/p>\n\n\n\n<p>This tool allows researchers to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Train open models efficiently without needing massive GPU clusters.<\/li>\n\n\n\n<li>Scale training from laptops to supercomputers seamlessly.<\/li>\n\n\n\n<li>Focus on results, not resource management.<\/li>\n<\/ul>\n\n\n\n<p>TML raised <strong>$2 billion in early funding<\/strong>, proving how much the market believed in its \u201cresearch-to-production\u201d vision.<br>But Tulloch\u2019s exit marks a shift, both for the company and for the broader AI ecosystem.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>The Meta Comeback: $1.5 Billion Offer and Strategic Reversal<\/strong><\/h2>\n\n\n\n<p>In August 2025, reports surfaced that <strong>Meta CEO Mark Zuckerberg<\/strong> tried to acquire TML entirely, a deal that never materialized.<br>When that failed, Meta shifted strategy and made a personal offer to Tulloch, reportedly worth up to <strong>$1.5 billion over six years<\/strong>, including performance-based stock grants.<\/p>\n\n\n\n<p>At the time, Tulloch declined. But two months later, he changed course, accepting a new Meta role that insiders believe will shape <strong>Meta\u2019s next-generation reasoning and pretraining systems<\/strong>.<\/p>\n\n\n\n<p>Meta has since hired over <strong>50 top AI researchers<\/strong>, signaling its determination to compete with <strong>OpenAI, Anthropic, and Google DeepMind<\/strong> in the superintelligence race.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Key Highlights of Tulloch\u2019s Career<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>2012\u20132023:<\/strong> Meta (FAIR) \u2013 Built scalable AI infrastructure.<\/li>\n\n\n\n<li><strong>2023\u20132025:<\/strong> OpenAI \u2013 Contributed to GPT-4 reasoning and pretraining.<\/li>\n\n\n\n<li><strong>2025:<\/strong> Co-founded TML \u2013 Developed Tinker API for open-model fine-tuning.<\/li>\n\n\n\n<li><strong>Oct 2025:<\/strong> Returned to Meta \u2013 Role undisclosed, focus likely on large-model optimization.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>Why Tulloch\u2019s Move Matters to the AI Industry<\/strong><\/h2>\n\n\n\n<p>For everyday observers, this isn\u2019t just a career switch, it\u2019s a signal.<br>AI\u2019s future is being shaped by a few dozen researchers whose work defines what systems like GPT, Llama, or Claude can do.<\/p>\n\n\n\n<p>Here\u2019s what Tulloch\u2019s move means for you and the industry:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Meta:<\/strong> A major leap toward more advanced reasoning and open-model ecosystems.<\/li>\n\n\n\n<li><strong>For Startups:<\/strong> A reminder that retaining AI talent is now as important as raising capital.<\/li>\n\n\n\n<li><strong>For Developers:<\/strong> Access to Meta\u2019s upcoming tools could mean faster, smarter model fine-tuning capabilities.<\/li>\n\n\n\n<li><strong>For AI Policy Watchers:<\/strong> More consolidation of top minds within tech giants, raising ethical and competition concerns.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Future: AI\u2019s Brain Drain or Brain Merge?<\/strong><\/h2>\n\n\n\n<p>Tulloch\u2019s journey, from <strong>Meta to OpenAI to TML and back to Meta<\/strong>, mirrors a larger trend in AI:<br>A revolving door of elite researchers moving between startups and giants, accelerating innovation but also centralizing power.<\/p>\n\n\n\n<p>In his new role, Tulloch is expected to apply his <strong>mathematical optimization and reasoning insights<\/strong> to Meta\u2019s upcoming AI systems, possibly shaping the foundation of the <strong>next generation of open or hybrid models<\/strong>.<\/p>\n\n\n\n<p><strong>One thing is clear:<\/strong><br>The AI revolution isn\u2019t slowing down; it\u2019s just getting smarter about who leads it.<\/p>","protected":false},"excerpt":{"rendered":"<p>AI researcher and co-founder Andrew Tulloch has officially left Thinking Machines Lab (TML) to rejoin Meta, marking one of 2025\u2019s biggest talent moves in artificial intelligence.Tulloch, best known for his work in machine learning, pretraining, and reasoning systems, is returning to the company where he spent over a decade building scalable AI infrastructure. Why AI [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":6618,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"footnotes":""},"categories":[105],"tags":[],"ppma_author":[331],"class_list":{"0":"post-6617","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news"},"authors":[{"term_id":331,"user_id":1,"is_guest":0,"slug":"pastakutmanwen","display_name":"Villpress Insider","avatar_url":{"url":"https:\/\/villpress.com\/wp-content\/uploads\/2025\/05\/Logo.png","url2x":"https:\/\/villpress.com\/wp-content\/uploads\/2025\/05\/Logo.png"},"0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/posts\/6617","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/comments?post=6617"}],"version-history":[{"count":1,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/posts\/6617\/revisions"}],"predecessor-version":[{"id":6619,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/posts\/6617\/revisions\/6619"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/media\/6618"}],"wp:attachment":[{"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/media?parent=6617"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/categories?post=6617"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/tags?post=6617"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/villpress.com\/cs\/wp-json\/wp\/v2\/ppma_author?post=6617"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}