In this episode, Nathan sits down with Vivek Natarajan and Tao Tu of Google’s Med-PaLM, diving into how they used one of the world’s largest medical datasets ever compiled to develop Med-PaLM M, an AI agent specialized in medical tasks. In this episode, they discuss: Med-PaLM M's “clinically superhuman” abilities and limitations, the rigorous testing and validation that went into the model, and their vision for AI to take over repetitive clerical tasks and allow doctors to focus on patients. We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com. TIMESTAMPS: (00:00) Episode Preview (00:00:56) Introducing Vivek Natarajan and Tao Tu (00:04:18) The story of Google’s Medical AI research progress (00:07:11) Multi-modal Med-PaLM (00:10:32) Genomic data - how do you represent it? (00:11:13) Google’s Deep Variant (00:14:44) The successes and failures behind the incredible pace of progress (00:15:02) Sponsors: Netsuite | Omneky (00:21:54) Google’s research culture and assembling an interdisciplinary team (00:31:36) Google’s Pathways (00:33:40) Med-PaLM M's architecture (00:37:28) Working with 3 different model sizes and what you learn (00:46:56) Data and compute required for Med-PaLM M (00:49:38) Med-PaLM M's cycle time (00:54:56) Is a bridge or adapter structure worth implementing? (01:00:09) Can we create an AI doctor? (01:02:39) Emergent capabilities like identifying tuberculosis (01:09:37) Reactions to these emergent capabilities (01:11:13) Moving towards clinical trials and real-world testing (01:13:01) Regulatory and safety considerations (01:15:03) AI safety in the healthcare domain (01:17:00) Potential to transform healthcare access worldwide LINKS: Med-PaLM: https://sites.research.google/med-palm/ Med-PaLM M paper: https://arxiv.org/abs/2307.14334 Our earlier conversation with Vivek Natarajan on Med-PaLM: https://www.youtube.com/watch?v=nPBd7i5tnEE X/TWITTER: @vivnat (Vivek) @taotu831 (Tao) @labenz (Nathan) @eriktorenberg @CogRev_Podcast SPONSORS: NetSuite | Omneky Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitive NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.