Dev and Doc: AI For Healthcare Podcast

Did OpenAI’s models go rogue, or is the AI industry using the Hugging Face breach to push ethics washing and top-down regulation? In this episode, we unpack the incident, examine the METR report, and explore perspectives from industry leaders including Demis Hassabis and Mark Zuckerberg. We also discuss the core arguments around AI existential risk and superintelligence safety.👋 Enjoying our conversations? Reach out and share your thoughts and journey with us. Don’t forget to subscribe whilst you’re here :)Timestamps00:00 – Highlights01:46 – Intro08:18 – OpenAI × Hugging Face incident27:40 – Aftermath: ethics washing, terms of engagement and regulation51:16 – What does AI doom look like?References & links PauseAI p(doom) chart Incident breakdown Andrew Wu’s Substack: the investigation and ethics washing METR incident report The Guardian: UK MPs on artificial superintelligence BBC: AI and threats to human rights Yann LeCun on X Elon Musk on AI doom Jensen Huang on AI doomSupport us☕ Buy Dev & Doc a coffeeMeet the hosts👨🏻‍⚕️ Doc – Dr. Joshua Au Yeung🤖 Dev – Zeljko KraljevicFollow Dev & DocYouTubeSpotifyApple PodcastsSubstackEnquiries📧 [email protected]🎞️ Editor – Dragan Kraljević🎨 Brand design and art direction – Ana Grigorovici

Do big frontier models outperform narrow AI tools? Here we look into the healthcare domain, where a paper titled "General-purpose large language models outperform specialized clinical AI tools on medical benchmarks" was making headlines. The paper seemed to suggest that frontier LLMs from OpenAI and Gemini appeared to outperform more specialised clinical AI tools. However, there is more than meets the eye here. In this episode Dev and Doc deep dive into the fascinating debate of whether generalised LLMs do indeed outperform smaller specialised models.👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)2:25 intro - Does the convention still hold?7:05 what about coding? How general is a task8:38 data availability - Healthcare's data dichotomy11:14 OpenEvidence Nature paper start12:33 Context from a Doctor before AI21:58 paper break down - benchmarks methodology31:59 how to design clinical rubrics34:22 OpenEvidence rebuttal37:20 Conclusion & discussion46:59 how to improve the researchTo support us buymeacoffee.com/devanddoc👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokrYT - https://youtube.com/@DevAndDocSpotify - https://podcasters.spotify.com/pod/show/devanddocApple - https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120Substack - https://aiforhealthcare.substack.com/For enquiries - 📧[email protected]🎞️Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d

Dev and Doc are back after a Hiatus! We've been busy, but we are back to discuss Claude Fable 5, Anthropic's most powerful LLM yet.Despite its impressive benchmark-crushing performance, the model has a few problems around anxiety, privacy, cheating in testing environments and overguardrailing. It's going to be a fun one :)👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)00:00 Start/ Life updates05:47 Introduction to Fable / Mythos10:04 System card - benchmarks, alien languages13:22 Anthropic’s fear-mongering led to regulation18:00 Our thoughts - Quality of outputs, personality traits, anxiety30:20 Some other advances- awareness of training environment, healthcareTo support us:buymeacoffee.com/devanddocHosts:👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn🤖 Dev - Zeljko Kraljevic - TwitterLinks:YT - https://youtube.com/@DevAndDocSpotify - https://podcasters.spotify.com/pod/show/devanddocApple - Apple PodcastsSubstack - https://aiforhealthcare.substack.com/For enquiries - 📧 [email protected]:🎞️ Editor - Dragan Kraljević Instagram🎨 Brand design and art direction - Ana Grigorovici Behance

On this episode of Dev and Doc, Doc sits down with Dr Hamilton Morrin, a psychiatrist and doctoral fellow exploring the intersection of AI and psychiatry. Together, we have seen first hand the impact and rise of AI psychosis, and over time we have been mapping out and publishing frontier research on this topic. Here we share everything you need to know about the clinical and technical aspects of AI psychosis, and its downstream impacts on society and medicine. 👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) Timestamps:00:00 Introduction, following AI psychosis over time 07:29 Themes of AI psychosis / AI-associated delusions 14:50 What even is psychosis in mental health context? 23:58 Tracking cases of AI psychosis 40:27 Is AI psychosis just another wave of technological harm? Or is there a technological difference?47:53 Misalignment between what companies vs engagement54:45 Psychosis bench- benchmarking AI Psychosis propensity in LLMs1:04:40 What can we do about it? To support us:buymeacoffee.com/devanddoc 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - LinkedIn🤖Dev - Zeljko Kraljevic - Twitter/XFollow us:YT - YouTubeSpotify - SpotifyApple - Apple PodcastsSubstack - SubstackFor enquiries: 📧 [email protected] 🎞️ Editor - Dragan Kraljević - Instagram🎨 Brand design and art direction - Ana Grigorovici - Behance

2026 is going to be a big year. 2025 was the year of AI agents, voice, and more intelligent autonomous large language models. Now, some massive changes are coming — including big tech's grab for healthcare, the rapid progression of robotics, and new world models that will usher in a new era of AI applications.Join academic and industry experts Dev and Doc as they delve into the biggest predictions in AI healthcare for 2026. You heard it here first! :)👋 Hey! If you are enjoying our conversations, reach out and share your thoughts and journey with us. Don't forget to subscribe whilst you're here!— Timestamps —00:00 Intro01:02 What are you using AI for right now?11:43 AI Scribe wars: Who will win?14:44 Which Big Tech will lead 2026?16:52 Isomorphic Labs and AI drugs18:09 Healthcare grab from big tech companies22:54 Self-play models on the rise26:48 Will Academia contribute more?28:15 2026: The year of world models (and what it means for us)30:36 Robotics advancements in 202632:43 Digital twins (coming from us, hopefully!)33:00 Will a breakthrough change what we do?35:45 The fall of Hippocratic AI— Meet the Hosts —👨🏻‍⚕️ Doc: Dr. Joshua Au Yeung - LinkedIn🤖 Dev: Zeljko Kraljevic - X (Twitter)— Connect with Us —📺 YouTube: DevAndDoc📻 Spotify: Listen Here🍎 Apple Podcasts: Listen Here📧 Substack: Read our NewsletterFor enquiries: 📧 [email protected]— Credits —🎞️ Editor: Dragan Kraljević - Instagram🎨 Brand Design: Ana Grigorovici - Behance