#23 Can OpenAI's GPT o1 solve complex medical problems?

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 :) Timestamps 00:00 – Highlights 01:46 – Intro 08:18 – OpenAI × Hugging Face incident 27:40 – Aftermath: ethics washing, terms of engagement and regulation 51:16 – 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 doom Support us ☕ Buy Dev & Doc a coffee Meet the hosts 👨🏻‍⚕️ Doc – Dr. Joshua Au Yeung 🤖 Dev – Zeljko Kraljevic Follow Dev & Doc YouTube Spotify Apple Podcasts Substack Enquiries 📧 [email protected] Credits 🎞️ 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.

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 updates 05:47 Introduction to Fable / Mythos 10:04 System card - benchmarks, alien languages 13:22 Anthropic’s fear-mongering led to regulation 18:00 Our thoughts - Quality of outputs, personality traits, anxiety 30:20 Some other advances- awareness of training environment, healthcare To support us: buymeacoffee.com/devanddoc Hosts: 👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn 🤖 Dev - Zeljko Kraljevic - Twitter Links: YT - https://youtube.com/@DevAndDoc Spotify - https://podcasters.spotify.com/pod/show/devanddoc Apple - Apple Podcasts Substack - https://aiforhealthcare.substack.com/ For enquiries - 📧 [email protected] Credits: 🎞️ 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.

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 Intro 01:02 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 drugs 18:09 Healthcare grab from big tech companies 22:54 Self-play models on the rise 26:48 Will Academia contribute more? 28:15 2026: The year of world models (and what it means for us) 30:36 Robotics advancements in 2026 32:43 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 Newsletter For enquiries: 📧 [email protected] — Credits — 🎞️ Editor: Dragan Kraljević - Instagram 🎨 Brand Design: Ana Grigorovici - Behance