learned some ml systems > pivoted to applied ml / scientific ml > implemented a pinn (surprisingly simple) > unironically feeds into an older project really seamlessly > this is so cool
pinn description is buried somewhere here https://t.co/U1rWdblFjF
This is really stupid, and it’s not getting enough attention.
The Trump administration is pulling a working $368 million ocean monitoring system out of the water, equipment taxpayers already bought, built, and sank into the deep ocean.
And they are doing it right when the oceans are behaving in ways that alarm the scientists who study them.
Record-breaking temperatures.
A system of Atlantic currents that may be lurching toward collapse.
The response?
Yank out the instruments and walk away.
That is not budgeting. That is smashing the gauges while the engine is on fire and calling it efficiency.
For what? The Trump administration dressed it up as a “nimbler approach” and “smart lifecycle management,” which is fancy nonsense for “we shut it off and hoped nobody would ask why.” There is no return-on-investment analysis. They cannot show taxpayers save a dime, because the gear is already paid for and the science it produces protects real money and real lives.
The kicker: the same people killing the monitors want to mine the deep sea for minerals. So they are destroying the only tools that could measure what that mining does. That is not an accident.
That is the point. You cannot see the damage if you break the instruments first.
https://t.co/MzE4AW1QBv
spent 45 mins searching for my first ml project demo video and finally found it and it's literally just "Demo.mp4" like yeah trust 16 yo me to call it that tbh i would probably still call it that