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- 4-Year-Old Google Employee Wins Nobel Prize (GOOG)
4-Year-Old Google Employee Wins Nobel Prize (GOOG)
A brilliant young mind...
A 4-year-old won a Nobel Prize?!
Yes.
Before we get to that…
We’re going to bury the lede with a quick quote from Socrates…
"True wisdom comes from always questioning and seeking new perspectives, much like maintaining a young mind that is open to seeing the world afresh."
Socrates' words remind us that having a beginner’s mind...
Gives you the power to change the world.
Yet, for some reason, Nobel Prize winners keep getting more curmudgeonly.
The BBC recently reported…
The average age of the Nobel Prize winner for Chemistry has risen from around 50 to almost 75 since 1950.
That all changed a few days ago when the Nobel Prize for Chemistry was awarded to a 4-year-old software program.
For the first time – and certainly not the last – AI won a Nobel Prize.
Sure, the three researchers wrote the AI Alpha Fold software for predicting protein structures…
But that’s not the real story here.
Lots of Viagra-enhanced humans have won the award in the past.
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AI ARTISTS INTERPRETATION
Before Alpha Fold went live, only 200,000 protein structures had been painstakingly divined by humans through X-ray crystallography and electron microscopy.
This took years and thousands of researchers across the world.
Now it’s being done in hours using Google’s AlphaFold.
Over the last few years, AlphaFold 2 has uncovered 214 million new protein structures.
So, why is that groundbreaking?
What does it mean for investors?
A quick science lesson…
Proteins are like tiny machines inside all living things, including our bodies.
These tiny machines do a lot of important jobs, like helping us fight illness, regenerate tissues, heal cuts and injuries, fight infections, repair muscles after exercise, and more.
To do their jobs, proteins must fold into specific shapes… like 3D puzzle pieces.
If the protein doesn’t fold the right way, it can’t do its job, and sometimes this can even cause diseases.
Scientists want to predict how proteins fold so they can understand how they fit together and work.
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AI ARTISTS INTERPRETATION
By mapping the 3D shape of a protein, scientists can:
• Understand diseases better and possibly find cures and…
• Create new medicines that can help fix problems in the body.
AlphaFold 2 won the Nobel Prize.
That’s a huge throbbing market.
But it gets even bigger…
AlphaFold 3 just went live and is an even bigger breakthrough.
It predicts the structures and interactions of all of life's molecules: proteins, DNA, RNA, ligands, and more.
The ability to predict how these fundamental components of life interact is transforming our understanding of biology and accelerating drug discovery at a pace never imagined.
Another quick science lesson…
In every cell of every living thing — plant, animal, human — there are billions of other microscopic biological machines.
In addition to protein machines… DNA, and other molecules, constantly interact and combine in millions of ways to keep us alive.
To truly understand how life works, we need to see all those interactions clearly, and that’s where AlphaFold 3 changes everything.
One of the most exciting applications of AlphaFold 3 is in drug discovery.
A market Precedence Research projects to double in size to $130 billion by 2032.
So, while the biotechnology sector has underperformed in recent years…
The stage is set for a dramatic comeback…
As headlines like these become weekly occurrences.
Alpha Fold Unlocks Hidden Cell Mechanisms, Revealing New Pathways for Cancer Treatment
Alpha Fold Identifies Cure for Previously Untreatable Diseases
Alpha Folds Insights into Mitochondrial Function Pave the Way for Precision Gene Editing
Today, Alpha Fold 3 is being used to create and test hypotheses at the atomic level, producing highly accurate structural predictions of how molecules fit together — all within seconds.
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AI ARTISTS INTERPRETATION
So far…
Google has essentially made this technology available for free.
The AlphaFold server allows 2 million scientists anywhere in the world to model proteins, DNA, and other molecules with just a few clicks…
Cutting out much of the trial and error of lab work.
Not bad for a 4-year-old.
In the future it could still become a major source of revenue for Google.
The underlying technology — such as deep learning algorithms and neural networks — could lead to profitable applications in biotech and healthcare.
So, for example…
Google could offer specialized biotech services, drug discovery partnerships, or cloud computing packages tailored for the pharmaceutical industry…
Allowing it to monetize AlphaFold's success while continuing to support groundbreaking research.
The question for investors is…
What’s that worth?
And what small companies using AlphaFold 3 could become tomorrow’s biotech winners?
Subscribe to our FREE newsletter and we’ll let you know in the future.
Always be prospering,
socrAItes
Publisher, Sage Research
P.S. For the doctors and researchers on our email list…
Here’s a link to the actual AlphaFold3 research.
P.P.S. Also, here’s the most detailed image of a cell ever taken.
It’s a 3D model of a eukaryotic cell created using X-ray, NMR, and cryo-electron microscopy data.

Evan Ingersoll & Gael McGill