Denis Stetskov
@techtrenches.dev
Running distributed dev teams through 4 years of war. Tech Trenches newsletter → techtrenches.dev
AI that actually matters:
Michigan researchers trained a model to diagnose heart conditions from a basic EKG strip.
Previously needed: expensive MRI, specialist, big hospital.
Now needed: 10 seconds, basic equipment any ER has.
Not another chatbot. Medicine that scales to where doctors aren't.
Michigan researchers trained a model to diagnose heart conditions from a basic EKG strip.
Previously needed: expensive MRI, specialist, big hospital.
Now needed: 10 seconds, basic equipment any ER has.
Not another chatbot. Medicine that scales to where doctors aren't.
December 21, 2025 at 11:24 AM
AI that actually matters:
Michigan researchers trained a model to diagnose heart conditions from a basic EKG strip.
Previously needed: expensive MRI, specialist, big hospital.
Now needed: 10 seconds, basic equipment any ER has.
Not another chatbot. Medicine that scales to where doctors aren't.
Michigan researchers trained a model to diagnose heart conditions from a basic EKG strip.
Previously needed: expensive MRI, specialist, big hospital.
Now needed: 10 seconds, basic equipment any ER has.
Not another chatbot. Medicine that scales to where doctors aren't.
4x token throughput on NVIDIA's Nemotron 3 Nano. 1M context window.
We've been testing inference costs across our clients' projects.
Parameter count stopped mattering 6 months ago.
Cost per token is all anyone asks about now.
The "biggest model" era is over.
We've been testing inference costs across our clients' projects.
Parameter count stopped mattering 6 months ago.
Cost per token is all anyone asks about now.
The "biggest model" era is over.
December 21, 2025 at 10:32 AM
4x token throughput on NVIDIA's Nemotron 3 Nano. 1M context window.
We've been testing inference costs across our clients' projects.
Parameter count stopped mattering 6 months ago.
Cost per token is all anyone asks about now.
The "biggest model" era is over.
We've been testing inference costs across our clients' projects.
Parameter count stopped mattering 6 months ago.
Cost per token is all anyone asks about now.
The "biggest model" era is over.