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Stanford Just Gave AI a Medical Role
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AI just crossed another invisible line.
Welcome back to AIChief. Let’s talk about what changed this time.
This week, Stanford researchers gave AI a real medical role, helping doctors make critical decisions with accuracy comparable to experienced clinicians. This isn’t about distant possibilities anymore. It’s about how AI is showing up in real systems, real products, and real decisions right now.
In this edition, you’ll find:
How Stanford is using AI to cure cancer
Major AI updates from Google, OpenAI, Meta, and X
Practical prompting tips
Trending AI tools and categories worth exploring
A hands-on masterclass on automating lead qualification
An AI Meme to Brighten your day
Let’s dive in 👇
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1.Gemini Gets Personal: Lets AI Use Your Apps
It now pulls context from Gmail, Drive, and Photos to deliver more personal, consistent answers, with privacy controls built in.
2.Meta Scales Back Metaverse, Bets on AI Wearables
Meta cuts 10% of Reality Labs staff as it shifts focus from metaverse projects to AI-powered smart wearables with rising demand.
3.OpenAI Locks In $10B Cerebras Deal to Supercharge AI
OpenAI signs a $10B deal with Cerebras for massive compute capacity through 2028, aiming to deliver faster, real-time AI responses.
4.Google’s Gemini 3 Signals a Major Shift in the AI
Gemini 3 combines top-tier models, custom chips, and massive distribution, positioning itself to seriously challenge OpenAI’s AI dominance.
Stanford researchers developed an AI imaging model to help doctors distinguish rare cancer recurrence from radiation damage, achieving accuracy comparable to experienced clinicians and improving post-treatment monitoring and care equity.
Key Points of the Study:
AI detects radiation complications with 85% accuracy
Focuses on rare nasopharyngeal cancer
Trained on 1,500+ medical images
Matches expert clinician performance
Aims to improve access and equity in care
1. Give the AI a role before the task
Start by telling the AI who it is (e.g., “You are a product manager,” “You are a sales strategist”).
2. Be specific about the outcome, not just the topic
Instead of asking “Write about AI automation”, say “Write a 3-paragraph explainer for founders deciding whether to automate sales.”
3. Add constraints to guide quality
Specify length, format, tone, or audience.
4. Break complex tasks into steps
For advanced outputs, ask the AI to think in stages: outline first, then expand, then refine.
5. Treat prompts as conversations, not commands
The best results come from iteration. Follow up, refine, and adjust.
👉 Pro tip: If an output feels generic, the prompt probably was too.
In this masterclass, you’ll see how to build AI systems that handle leads, automate sales, and close deals for you, without constant manual work.
This isn’t theory. Whether you’re brand new or already experimenting with AI, this step-by-step walkthrough shows exactly how to go from zero to a working AI Sales Agent using real tools like Make.com, OpenAI, Vapi, and Airtable.
By the end, you’ll have an AI setup that talks to leads, qualifies them, and generates proposals automatically.
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AI is moving fast, but the real advantage belongs to people who understand how to use it intentionally.
Whether it’s improving how you prompt, discovering better tools, or building systems that work for you instead of adding noise, the goal is the same: work smarter, not harder.
If this newsletter helped you think more clearly, build better, or discover something new, you’re exactly where you should be.
As today’s newsletter comes to a close, we hope these AI insights empower you to step into the upcoming week with clarity and ease. Don’t forget to share your favorite finds with friends, family, and colleagues! 🌿✨
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See You Soon!
Team AIChief