You ask an AI a question and it answers with total confidence. Most of the time, a confidently wrong answer is just an annoyance. But what if the question is medical, and there's a real patient on the other end? In that world, a hallucination isn't a bug, it's a patient-safety event. Sumit Gundawar is a London-based software engineer who builds the clinical platform for a UK longevity and aesthetic-medicine clinic, and his whole argument is that in high-stakes AI, the model is the easy part. Earning trust is the real engineering. We dig into grounding, refusal logic, human-in-the-loop design, and the messy frontier of longevity and biohacking, plus a live demo of an assistant that refuses to answer when it can't back up the claim. Let's get into it.

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Links from the show

Guest
Sumit Gundawar: linkedin.com

Course transcripts announcement: talkpython.fm/blog

Sumit Gundawar - JAX London Speaker: jaxlondon.com
Anthropic: anthropic.com
OpenAI Platform: platform.openai.com
Anthropic: anthropic.com
LangChain: langchain.com
OWASP: owasp.org
Pydantic: pydantic.dev
EU AI Act - Regulatory Framework: digital-strategy.ec.europa.eu
HIPAA - HHS: www.hhs.gov
NHS: www.nhs.uk
Llama: llama.com
Qwen - QwenLM on GitHub: github.com
OpenAI Platform: platform.openai.com
Hugging Face: huggingface.co
Llama: llama.com
Granola: www.granola.ai
HIPAA - HHS: www.hhs.gov
CodeRabbit: www.coderabbit.ai
Cursor Origin: cursor.com
GitHub Status: www.githubstatus.com
Midjourney Medical: www.midjourney.com
Neko Health: www.nekohealth.com
CERN: home.cern
ATLAS Experiment: atlas.cern

Watch this episode on YouTube: youtube.com
Episode #554 deep-dive: talkpython.fm/554
Episode transcripts: talkpython.fm

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#554: Trustworthy AI in Healthcare and Longevity

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#554: Trustworthy AI in Healthcare and Longevity