{"podcast":{"title":"Latent Space: The AI Engineer Podcast","slug":"latent-space-ai-engineer","podcast_index_feed_id":6058902,"rss_url":"https://api.substack.com/feed/podcast/1084089.rss","website_url":"https://www.latent.space/podcast","image_url":"https://substackcdn.com/feed/podcast/1084089/ca7468da5614a246d2906ee8926f6de7.jpg","author":"Latent.Space","episode_count":204,"summary":"The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!","last_synced_at":null,"page_url":"https://stenobird.com/podcast/latent-space-ai-engineer"},"episode":{"title":"🔬Why There Is No \"AlphaFold for Materials\" — AI for Materials Discovery with Heather Kulik","slug":"why-there-is-no-alphafold-for-materials-ai-for-materials-discovery-with-heather-kulik","published_at":"2026-03-24T16:53:15+00:00","page_url":"https://stenobird.com/podcast/latent-space-ai-engineer/why-there-is-no-alphafold-for-materials-ai-for-materials-discovery-with-heather-kulik","show_page_url":"https://stenobird.com/podcast/latent-space-ai-engineer","url":"https://www.latent.space/p/materials","audio_url":"https://api.substack.com/feed/podcast/191799646/e5fd22546e0bfbe77cc829cd27c36415.mp3","summary":"Materials science is the unsung hero of the science world. Behind every physical product you interact was decades of research into getting the properties of materials just right. Your gym clothes contain synthetic fibers developed over decades. The glass screen, diodes, and chip substrate technology needed to read this blog post were only viable due to many teams of material scientists. Our guest Prof. Heather Kulik was one of the first material scientists to realize that there was alpha in combining computational tools with data driven modeling — she did AI for science before it was cool. She has a hard-fought perspective for how to succeed in this field. Yes, she believes the wins are real. To get there you must work hard to deeply integrate domain expertise with AI techniques, and also maintain a discriminating mind. Ultimately what matters is you succeed in the lab, and nature doesn’t care about how hyped a model is. These lessons personally resonated with the Latent.Space Science team and our own experience. This episode is a must watch for all aspiring AI for science practitioners. A few highlights: Designing new polymers with AI: Heather’s group recently used AI to design new polymers that are significantly stronger. These materials were created and tested in the lab, and the scientists who built them were surprised by the designs. The AI had figured out certain building blocks could break in a novel way. The AI discovered a purely quantum mechanical effect, and after convincing their lab collaborators to actually synthesize it, the material turned out to be four times tougher! The twenty-two-atom ligand challenge : When asked about the role and need of human scientists, Heather points out that AI has a strong understanding of academic chemistry, but is still la…","meta_description":"Materials science is the unsung hero of the science world. Behind every physical product you interact was decades of research into getting the properties…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2114,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/latent-space-ai-engineer/episodes/why-there-is-no-alphafold-for-materials-ai-for-materials-discovery-with-heather-kulik/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/latent-space-ai-engineer/why-there-is-no-alphafold-for-materials-ai-for-materials-discovery-with-heather-kulik.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}