Episode 2 · 17 May 2025 · 26 min

Patient Data, Playground AI and Prompting: Gemini for Kids, 57 M Health Records Uploaded to AI, and Prompting Like a Pro

Artwork for Patient Data, Playground AI and Prompting: Gemini for Kids, 57 M Health Records Uploaded to AI, and Prompting Like a Pro

Chapters

  1. Welcome
  2. Gemini for Kids (Google)
  3. TEQSA Gen-AI Knowledge Hub
  4. Model Mania: GPT-4.1, Claude Sonnet/Opus, MCP connectors
  5. Notion-AI Love Letter
  6. Text-to-Video Take-off: Runway, Veo-2, Will-Smith-spaghetti
  7. Digital Humans in the Classroom: Synthesia, HeyGen
  8. AI Gets Personal (productivity & prediction)
  9. NHS “Foresight”: 57 M patient records → predictive health
  10. UAE’s AI-Driven Laws (“living regulations”)
  11. Higher-Ed Fallout: LMS evolution & adaptive learning
  12. Echo-Chamber Risk: protecting curiosity
  13. Prompt Engineering 2.0 – structured Markdown briefs

Show notes

Welcome to Episode 2 of Adjunct Intelligence the podcast where higher-ed meets high-tech at break-neck speed. This week Dale and Nick tackle a news cycle that rockets from schoolyard chatbots to nation-scale health analytics, dives into GenAi Video and hands you the prompt-writing cheats you’ll need to survive it all. Buckle up, charge your tokens, and let’s roll.

🚀 Big-Ticket AI Headlines
  • Gemini for Kids is coming → Are the frameworks and regulatory considerations ready?
  • TEQSA Gen-AI Hub → your free vault of academic-integrity guides, assessment-redesign blueprints, and AI policy samples—download in seconds.
  • Microsoft Workforce Trends → layoffs and the future of work is an Agent partner.
  • New models from ChatGPT-4.1, and whispers of Claude Sonnet & Opusdeep reasoning, code autocompletion, MCP connectors that let chatbots control apps like magic.

🎬 Video & Virtual Faculty

  • Will Smith eating pasta and how it measures the pace of change in AI Video
  • Runway Gen-2 + Google Veo-2 = photoreal lecture trailers, brand promos, & course intros—zero film crew needed.
  • HeyGen / Synthesia avatars → build a 24-hour “clone faculty” that never loses its voice, crushes onboarding, and scales feedback.

🏥 Precision Medicine Meets EdTech
NHS “Foresight” trains on 57 M anonymised records → Can it predict heart attacks before symptoms. Imagine that power nudging at-risk students before they fail.
⚖️ Policy at Warp Speed
UAE “Living Regulations” → AI-drafted laws 70 % faster, dynamically linked to rulings & impact data. Agile governance or surveillance on steroids?
🧑‍🏫 Adaptive Campus 2.0
Students could expect hyper-personalised, AI-driven learning paths. We map the roadmap—and reveal how to dodge algorithmic echo chambers that kill curiosity.

🛠️ Prompt Lab 2.0

  1. Structured Briefs = Context ➡️ Role ➡️ Goal ➡️ Process ➡️ Constraints ➡️ Examples
  2. Markdown Anchors = Bold 📣 Bullets • Headers # the model “sees”
  3. Vibe-Prompting = Creative riffing, rapid iteration, no Yoda syntax 👽, be the manager your employees deserve 

00:00 – Welcome
01:00 – Gemini for Kids (Google)  
01:38 – TEQSA Gen-AI Knowledge Hub  
02:38 – Model Mania: GPT-4.1, Claude Sonnet/Opus, MCP connectors  
03:45 – Notion-AI Love Letter  
04:10 – Text-to-Video Take-off: Runway, Veo-2, Will-Smith-spaghetti  
07:48 – Digital Humans in the Classroom: Synthesia, HeyGen  
11:40 – AI Gets Personal (productivity & prediction)  
11:56 – NHS “Foresight”: 57 M patient records → predictive health  
14:59 – UAE’s AI-Driven Laws (“living regulations”)  
16:12 – Higher-Ed Fallout: LMS evolution & adaptive learning  
18:02 – Echo-Chamber Risk: protecting curiosity  
22:50 – Prompt Engineering 2.0 – structured Markdown briefs  
24:06 – Outro

🔗 Links & Further Reading


  1. Google Gemini for Families 
  2. TEQSA Gen-AI Knowledge Hub — assessment & integrity resources
  3. NHS “Foresight” pilot — Nature coverage

🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache.

Every episode:
• Real tests of AI tools in education and professional workflows
• Fast, Monday-morning actions you can actually try
• Clear signal through the noise (no hype, no jargon)

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