Thoughts Brewing Blog

Book Brew 183: AI Is Saving Lives

Written by Danielle Price Griffin | Aug 10, 2026, 5:45:00 PM

Everyone talks about AI writing their emails faster. ChatGPT as your personal assistant. Generating images that look cute or make you laugh. Productivity hacks that save you seventeen minutes each Tuesday.

"That's how the visual cortex is structured. We think we see the whole world, but we actually see only a tiny fraction of it at any one time... Attention is a mechanism for filtering out what doesn’t seem relevant, but the problem is that we often miss the 'invisible gorilla' standing right in front of us." - Cathy Davidson

 

Meanwhile, in labs across the world right now, AI is

  • Designing vaccines.
  • Predicting cancer years before doctors can catch it.
  • Engineering proteins to reverse neurodegeneration.
  • Discovering molecules that do what pharmaceutical companies spent billions trying to achieve.

These are the advances being made with AI that don’t get enough media attention.

When you see AI headlines, they're usually "ChatGPT writes your cover letter" or "Make stunning AI art." Sometimes it's a think piece about AI regulation or job displacement. Or the NIMBY feelings around Data Centers.

But those aren't the stories that matter. The ones that do are happening in research institutions, medical centers, and biotech labs. They're not Instagrammable. They don't trend on Twitter. But they are life-saving.


While You're Using AI to Draft Emails, Researchers Are Rewiring Biology

AlphaFold 3 (Google DeepMind & Isomorphic Labs):

  • Predicts how drug molecules bind to disease targets.
  • Instead of years of expensive lab work screening compounds, researchers now have a system that models protein-drug interactions, antibody-antigen complexes, and biomolecular interactions all at once.

Evo 2 (Arc Institute & Stanford):

  • A genomic foundation model trained on trillions of nucleotides across eukaryotic and prokaryotic genomes.
  • Researchers use it to design custom CRISPR systems and synthetic gene circuits from scratch, turning genetic engineering from guesswork into code.

The vaccine breakthrough (ScienceAlert):

  • The first AI-designed vaccine is entering human trials.
  • No human designed this from scratch.
  • An AI system identified the candidate, and now we're testing whether it works.

Neurodegeneration proteins (Broad Institute, July 2026):

  • Researchers used AI protein sequence generators to engineer hyper-stable protein scaffolds, then subjected them to rapid laboratory evolution.
  • Result: proteases that clear toxins found in ALS and spinocerebellar ataxia with 79x higher efficiency than natural starting points.

CardiOmicScore (HKUMed, July 2026):

  • An AI platform evaluating real-time protein and metabolic changes from a blood sample.
  • Unlike static DNA risk factors, it tracks dynamic shifts to predict six major cardiovascular events (stroke, heart failure, and others) up to 15 years before clinical onset.

Cancer drug screening (VCU/UCLA/University of Colorado, July 2026):

  • 3D bioprinting of patient tumor replicas combined with deep-learning segmentation.
  • Researchers track drug responses across thousands of lab-grown tumor organoids in real time, detecting resistant cancer cell populations before they prescribe treatment to the patient.

 

The Marketing Machine vs. The Real Power

"A general "law of least effort" applies to cognitive as well as physical exertion... If there are several ways of achieving the same goal, people will eventually gravitate to the least demanding course of action. In the economy of action, effort is a cost, and the acquisition of skill is driven by the balance of benefits and costs." - Daniel Kahneman

 

Consumer AI is

  • Loud.
  • Visible.
  • Sometimes disappointing.
  • Sometimes (many times…) overhyped.

The entire product strategy around mainstream AI tools is designed to get you hooked on daily use through adoption and habit formation.

 

"When a habit emerges, the brain stops fully participating in decision making. It stops working so hard, or diverts focus to other tasks. So unless you deliberately fight a habit—unless you find new routines—the pattern will unfold automatically." - Charles Duhigg

 

Meanwhile, in research labs, AI is doing things humans couldn't scale before. And these advances aren't getting Super Bowl ads or venture funding announcements because they don't need to be adopted by millions of users tomorrow. They just need to work. And they do.

We're trained to think about AI as a productivity tool because that's what's being sold to us. Every product launch, every newsletter, every demo video:

  • Use this to save time.
  • Use this to work faster.
  • Use this to optimize your day.

The message of “better, faster, stronger” seems to apply to AI marketing…probably because it drives adoption on our 2-second-attention-span brains.

 

"Our obedience frequently takes place in a 'click, whirr' fashion, with little or no conscious deliberation... Automatic, stereotyped behavior is prevalent in much human action, because in many cases, it is the most efficient form of behaving, and in other cases, it is simply necessary." - Robert Cialdini

 

This was just a short post to bring awareness to the unsung AI heroes. It isn’t all doom and gloom. So every now and then, stop your mindless TikTok scrolling and go search for some amazing breakthroughs happening in research to see what these tools are truly capable of.

 

Ponder This

  1. When you hear "AI breakthrough," what image pops into your head? A chatbot, or something that changes medicine?
  2. If the most important AI advances aren't making headlines in your feed, what else are we collectively missing?
  3. How does your view of AI shift when you zoom out from "how it helps me work" to "how it helps humanity survive"?

 

Books/Articles

  • Influence - Robert Cialdini
  • Now You See It - Cathy Davidson
  • Thinking Fast and Slow - Daniel Kahneman
  • The Power of Habit - Charles Duhigg