[{"data":1,"prerenderedAt":291},["ShallowReactive",2],{"/events/acm-neolab-pathway-2026-app":3,"/events/acm-neolab-pathway-2026-event":188},{"id":4,"title":5,"author":6,"body":7,"description":169,"extension":170,"meta":171,"navigation":182,"path":183,"seo":184,"sitemap":185,"stem":186,"__hash__":187},"content/12.events/acm-neolab-pathway-2026.md","Inside a Neolab: BDH and the Future of AI beyond the Transformer",null,{"type":8,"value":9,"toc":162},"minimark",[10,15,23,26,37,40,43,71,75,79,101,111,118,122,145,148,154],[11,12,14],"h2",{"id":13},"about","About",[16,17,18,22],"p",{},[19,20,21],"strong",{},"​The Wall Street Journal declared 2026 the year post-Transformers will dominate AI",", naming Pathway alongside Yann LeCun, Ilya Sutskever, and Fei-Fei Li as the ones who will make it happen.",[16,24,25],{},"​Stanford ACM is offering a rare chance to hear directly from the neo-lab building what comes next.",[16,27,28,29,32,33,36],{},"Join us for an intimate seminar with ",[19,30,31],{},"Jan Chorowski",", CTO & Co-founder of the Palo-Alto based neolab Pathway as he presents ",[19,34,35],{},"BDH (Dragon Hatchling)",", a new large post-transformer architecture inspired by scale-free biological networks.",[16,38,39],{},"Memory and the ability to learn on the fly is the single biggest limitation facing current transformer-based AI models. Pathway is a post-transformer neo-lab that has solved that problem. We are delivering a faster path to AGI through true continuous learning and long horizon reasoning.",[16,41,42],{},"​In this talk, Jan will walk through:",[44,45,46,53,59,65],"ul",{},[47,48,49,52],"li",{},[19,50,51],{},"​Why Transformers hit a wall",", and what post-transformer architectures unlock",[47,54,55,58],{},[19,56,57],{},"​How BDH works",": attention emerging from local, graph-based neuron interactions rather than centralized matrix multiplications",[47,60,61,64],{},[19,62,63],{},"​Mechanistic interpretability made real",": large, sparse, non-negative latent spaces that map directly to neuron populations and show emergent monosemanticity",[47,66,67,70],{},[19,68,69],{},"​What continuous learning and long-horizon reasoning"," look like when built from the ground up",[11,72,74],{"id":73},"speaker","Speaker",[76,77],"event-team",{":team":78},"[{\"name\":\"Jan Chorowski\",\"description\":\"CTO of Pathway\",\"image\":\"/assets/authors/jan-chorowski.jpg\"}]",[16,80,81,84,85,88,89,92,93,96,97,100],{},[19,82,83],{},"​Jan Chorowski"," is one of the most quietly influential figures in modern AI. A pioneer in neural sequence modeling, he was the ",[19,86,87],{},"first researcher to apply attention mechanisms to speech recognition",". His work, including direct collaborations with ",[19,90,91],{},"Geoffrey Hinton"," and ",[19,94,95],{},"Yoshua Bengio",", has accumulated ",[19,98,99],{},"13,000+"," citations and helped define the field of sequence-to-sequence learning.",[16,102,103,104,92,107,110],{},"​Before co-founding Pathway, Jan held research and engineering roles at ",[19,105,106],{},"Google Brain",[19,108,109],{},"MILA",".",[16,112,113,114,117],{},"​Pathway is backed by leading investors and advisors, including ",[19,115,116],{},"Lukasz Kaiser",", co-author of the original Transformer paper.",[11,119,121],{"id":120},"format","Format",[44,123,124,131,138],{},[47,125,126,127,130],{},"🎤 ",[19,128,129],{},"Talk",": 30-45 minutes",[47,132,133,134,137],{},"💬 ",[19,135,136],{},"Live Q&A",", bring your hardest questions",[47,139,140,141,144],{},"🍕 ",[19,142,143],{},"Food included",", because well... we love food.",[16,146,147],{},"​This talk is open to all Stanford Faculty Members, Postdoctoral Fellows, students, Faculty Affiliates, and researchers at affiliated institutions.",[149,150],"link-card",{"href":151,"title":152,"website":153},"https://arxiv.org/abs/2509.26507","Associated paper: The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain","arxiv.org",[155,156,157],"note",{},[16,158,159],{},[19,160,161],{},"Seats are limited. RSVP now.",{"title":163,"searchDepth":164,"depth":164,"links":165},"",2,[166,167,168],{"id":13,"depth":164,"text":14},{"id":73,"depth":164,"text":74},{"id":120,"depth":164,"text":121},"Stanford ACM is offering a rare chance to hear directly from the neo-lab building what comes next.","md",{"layout":172,"href":173,"banner":174,"date":175,"timezone":177,"location":178,"buttons":180},"event","https://luma.com/acm_neolab_pathway","/assets/events/banners/neolab-banner.png",[176],"2026-04-14T17:00:00","America/Los_Angeles",{"short":179},"Stanford ACM",{"signup":181},"Register",false,"/events/acm-neolab-pathway-2026",{"title":5,"description":169},{"loc":183},"12.events/acm-neolab-pathway-2026","d4kwtUNt0jEMdy8HTpnlu6svcZ-o7y77r-coeOv5g-s",{"id":189,"title":5,"banner":174,"body":190,"buttons":285,"date":286,"description":169,"extension":170,"href":173,"location":287,"meta":288,"navigation":182,"path":183,"seo":289,"stem":186,"thumbnail":6,"timezone":177,"__hash__":290},"events/12.events/acm-neolab-pathway-2026.md",{"type":8,"value":191,"toc":280},[192,194,198,200,206,208,210,228,230,232,244,250,254,256,270,272,274],[11,193,14],{"id":13},[16,195,196,22],{},[19,197,21],{},[16,199,25],{},[16,201,28,202,32,204,36],{},[19,203,31],{},[19,205,35],{},[16,207,39],{},[16,209,42],{},[44,211,212,216,220,224],{},[47,213,214,52],{},[19,215,51],{},[47,217,218,58],{},[19,219,57],{},[47,221,222,64],{},[19,223,63],{},[47,225,226,70],{},[19,227,69],{},[11,229,74],{"id":73},[76,231],{":team":78},[16,233,234,84,236,88,238,92,240,96,242,100],{},[19,235,83],{},[19,237,87],{},[19,239,91],{},[19,241,95],{},[19,243,99],{},[16,245,103,246,92,248,110],{},[19,247,106],{},[19,249,109],{},[16,251,113,252,117],{},[19,253,116],{},[11,255,121],{"id":120},[44,257,258,262,266],{},[47,259,126,260,130],{},[19,261,129],{},[47,263,133,264,137],{},[19,265,136],{},[47,267,140,268,144],{},[19,269,143],{},[16,271,147],{},[149,273],{"href":151,"title":152,"website":153},[155,275,276],{},[16,277,278],{},[19,279,161],{},{"title":163,"searchDepth":164,"depth":164,"links":281},[282,283,284],{"id":13,"depth":164,"text":14},{"id":73,"depth":164,"text":74},{"id":120,"depth":164,"text":121},{"signup":181},[176],{"short":179},{"layout":172},{"title":5,"description":169},"GpGb9MmvL5dIKEhbtlbMH3jaFMIuOeVljXi2d4qRFIE",1776175108027]