Bringing doctors and developers together to unlock the potential of AI in healthcare. Together, we can build models that matter.
🤖👨🏻⚕️
Hello! We are Dev & Doc, Zeljko and Josh :)
Josh is a Neurologist, AI Researcher and Clinical AI Lead.
Zeljko is an AI engineer, CTO and associate professor (UCL)
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Substack- https://aiforhealthcare.substack.com/
YT - https://youtube.com/@DevAndDoc
#37 OpenAI/ Hugging Face Post-Mortem (AI doomerism or Marketing?)
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 (https://pauseai.info/pdoom)
Incident breakdown (https://www.youtube.com/watch?v=u15N3l4RT80)
Andrew Wu’s Substack: the investigation and ethics washing (https://andrewwu.substack.com/p/the-slop-vestigation-and-ethics-washing?open=false#%C2%A71-the-relevant-points-of-metrs-and-redwood-researchs-investigation)
METR incident report (https://metr.org/hugging-face-incident-report-aug-2026.pdf)
The Guardian: UK MPs on artificial superintelligence (https://www.theguardian.com/technology/2026/sep/11/mps-urge-andy-burnham-block-artificial-superintelligence-asi)
BBC: AI and threats to human rights (https://www.bbc.co.uk/news/articles/cwyzvgj70y4o)
Yann LeCun on X (https://x.com/ylecun/status/2099798678252757011)
Elon Musk on AI doom (https://www.youtube.com/watch?v=iwBOQeFPAwg)
Jensen Huang on AI doom (https://www.youtube.com/watch?v=S7CrlFLAmEA)
Support us
☕ Buy Dev & Doc a coffee (https://buymeacoffee.com/devanddoc)
Meet the hosts
👨🏻⚕️ Doc – Dr. Joshua Au Yeung (https://www.linkedin.com/in/dr-joshua-auyeung/)
🤖 Dev – Zeljko Kraljevic (https://twitter.com/zeljkokr)
Follow Dev & Doc
YouTube (https://youtube.com/@DevAndDoc)
Spotify (https://podcasters.spotify.com/pod/show/devanddoc)
Apple Podcasts (https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120)
Substack (https://aiforhealthcare.substack.com/)
Enquiries
📧 Devanddoc@gmail.com (mailto:Devanddoc@gmail.com)
Credits
🎞️ Editor – Dragan Kraljević (https://www.instagram.com/dragan_kraljevic/)
🎨 Brand design and art direction – Ana Grigorovici (https://www.behance.net/anagrigorovici027d)
16 Jul 2026
#36 General Purpose LLMs vs Specialised AI- Is Bigger always better? (OpenEvidence vs OpenAI)
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 task
8:38 data availability - Healthcare's data dichotomy
11:14 OpenEvidence Nature paper start
12:33 Context from a Doctor before AI
21:58 paper break down - benchmarks methodology
31:59 how to design clinical rubrics
34:22 OpenEvidence rebuttal
37:20 Conclusion & discussion
46:59 how to improve the research
To support us buymeacoffee.com/devanddoc (https://buymeacoffee.com/devanddoc)
👨🏻⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ (https://www.linkedin.com/in/dr-joshua-auyeung/)
🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr (https://twitter.com/zeljkokr)
YT - https://youtube.com/@DevAndDoc (https://youtube.com/@DevAndDoc)
Spotify - https://podcasters.spotify.com/pod/show/devanddoc (https://podcasters.spotify.com/pod/show/devanddoc)
Apple - https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 (https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120)
Substack - https://aiforhealthcare.substack.com/ (https://aiforhealthcare.substack.com/)
For enquiries - 📧Devanddoc@gmail.com
🎞️Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ (https://www.instagram.com/dragan_kraljevic/)
🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d (https://www.behance.net/anagrigorovici027d)
29 Jun 2026
#35 Claude Fable 5: Healthcare advancements, model anxiety, over-guardrailing and aftermath
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 (https://buymeacoffee.com/devanddoc)
Hosts:
👨🏻⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn (https://www.linkedin.com/in/dr-joshua-auyeung/)
🤖 Dev - Zeljko Kraljevic - Twitter (https://twitter.com/zeljkokr)
Links:
YT - https://youtube.com/@DevAndDoc (https://youtube.com/@DevAndDoc)
Spotify - https://podcasters.spotify.com/pod/show/devanddoc (https://podcasters.spotify.com/pod/show/devanddoc)
Apple - Apple Podcasts (https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120)
Substack - https://aiforhealthcare.substack.com/ (https://aiforhealthcare.substack.com/)
For enquiries - 📧 Devanddoc@gmail.com (mailto:Devanddoc@gmail.com)
Credits:
🎞️ Editor - Dragan Kraljević Instagram (https://www.instagram.com/dragan_kraljevic/)
🎨 Brand design and art direction - Ana Grigorovici Behance (https://www.behance.net/anagrigorovici027d)
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Spotify
5.0 / 5
22 ratings
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