Diegonel Editor @DiegonelEditor - Twitter Profile

Pinned Tweet

3 months ago

Además de editor, estudio Informática y desarrollé mi propia web 👨‍💻 Ahí pueden ver mi portafolio, precios, cotizar y comprar directamente (acepto PayPal y tarjetas chilenas). ¡Todo el proceso se hace en la página! Échenle un vistazo 👇 https://t.co/ADXnT59hTr

0

1

0

21

DiegonelEditor retweeted

Ajith

@ajith_io

13 days ago

WTF? Made with claude OPUS 5.5 Prompt "make a dynamic 15-second motion graphics video that shows what an incredible motion designer you are, like it's your showreel for a résumé. go all out." That's it..

150

4K

189

5K

629K

DiegonelEditor retweeted

Benjamin De Kraker

@BenjaminDEKR

21 days ago

Neuralink is literally reading his mind, and translating him THINKING WORDS into spoken computer speech

61

5K

324

864

544K

DiegonelEditor retweeted

Dr. Disclosure

@Docneuroeo

29 days ago

NO. YOU DO NOT UNDERSTAND HOW BIG THIS IS. OpenAI assembled 10,000 coordinating AI minds. 88 hours later: a NAVIER–STOKES proof. That is not “AI assistance.” That is an alien-scale intellect being born on Earth. THE MANHATTAN PROJECT WAS FOR MATTER. UAPs noticed.

44

993

73

280

123K

DiegonelEditor retweeted

Jubal Hardin

@Jubal_Hardin

30 days ago

What makes solving Navier-Stokes important? Fluid dynamics affects more than you realize in your everyday life. This breakthrough — if it is true — gives you: Cheaper, safer flying and driving. Air over a wing or around a car is a Navier-Stokes problem. Better control of that flow means less drag, so planes and trucks burn less fuel, stay quieter, and stall less often. Weather you can actually plan around. Storms, jet streams, and ocean currents are giant fluid problems. Sharper turbulence physics is one of the remaining limits on hurricane tracks, heat waves, and flood forecasts. That is the difference between “maybe evacuate” and a clear warning. Hearts, stents, and artificial valves. Blood is a fluid. Doctors already simulate flow through arteries and implants from CT/MRI scans. A more reliable theory of swirling, high-speed blood flow would help design stents, heart valves, and aneurysm treatments that work better. Cleaner power from wind and turbines. Wind hitting a turbine blade, steam inside a power plant, and fuel mixing in an engine are all the same equations. Better models mean more electricity from the same wind farm and engines that waste less fuel Ships, pipes, and dirty air. Oil in a pipeline, water in city mains, smoke over a city, and waves slamming a hull all follow Navier-Stokes. Better predictions cut leaks, pump energy, and help track pollution after a spill or wildfire. Many other everyday effects: buildings, sports, and rain. The same math decides whether a skyscraper sways in a gale, why a dimpled golf ball flies farther, how air moves through a house’s vents, and even how raindrops form in clouds. Those are not abstract puzzles; they are why planes fly, forecasts exist, and a stadium roof doesn’t peel off. None of this happens instantly because of a math problem solution by AI. But everything that does happen is going to help engineer a better life for all of us. This is big.

Jubal_Hardin's tweet photo. What makes solving Navier-Stokes important?

Fluid dynamics affects more than you realize in your everyday life. This breakthrough — if it is true — gives you:

Cheaper, safer flying and driving. Air over a wing or around a car is a Navier-Stokes problem. Better control of that flow means less drag, so planes and trucks burn less fuel, stay quieter, and stall less often.

Weather you can actually plan around. Storms, jet streams, and ocean currents are giant fluid problems. Sharper turbulence physics is one of the remaining limits on hurricane tracks, heat waves, and flood forecasts. That is the difference between “maybe evacuate” and a clear warning.

Hearts, stents, and artificial valves. Blood is a fluid. Doctors already simulate flow through arteries and implants from CT/MRI scans. A more reliable theory of swirling, high-speed blood flow would help design stents, heart valves, and aneurysm treatments that work better.

Cleaner power from wind and turbines. Wind hitting a turbine blade, steam inside a power plant, and fuel mixing in an engine are all the same equations. Better models mean more electricity from the same wind farm and engines that waste less fuel

Ships, pipes, and dirty air. Oil in a pipeline, water in city mains, smoke over a city, and waves slamming a hull all follow Navier-Stokes. Better predictions cut leaks, pump energy, and help track pollution after a spill or wildfire.

Many other everyday effects: buildings, sports, and rain. The same math decides whether a skyscraper sways in a gale, why a dimpled golf ball flies farther, how air moves through a house’s vents, and even how raindrops form in clouds. Those are not abstract puzzles; they are why planes fly, forecasts exist, and a stadium roof doesn’t peel off.

None of this happens instantly because of a math problem solution by AI. But everything that does happen is going to help engineer a better life for all of us. This is big.

72

6K

828

2K

814K

DiegonelEditor retweeted

OpenAI

@OpenAI

30 days ago

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

OpenAI's tweet photo. We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

6K

120K

20K

31K

75M

DiegonelEditor retweeted

OpenAI

@OpenAI

about 1 month ago

This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.

9K

340K

35K

102K

138M

Diegonel Editor @DiegonelEditor

about 1 month ago

@TimJayas Yo haciendo pruebas de web design, me doy cuenta que gemini, desconzco si sea antigravity o el propio modelo, pero le cuesta mucho trabajar con skills, muchas veces las ignora, o no tiene tanta capacidad como apra poder realizar un proyecto definido en varias fases.

0

4