FabianSteven

[🥀 @boxxtoc]

😿 : "Maaf bang, aku udah berusaha tapi tetep ninggalin jejak”

👨‍🏭 : ….(ngelus dada) gpp kok Meng, yang penting km udah berusaha

ccthread:triafitriani07

[GSWL @WarriorsLatam_]

2 metros y 20 centímetros.

[How To Prompt @HowToPrompt__]

🚨 MIT proved you can delete 90% of a neural network without losing accuracy.

Researchers found that inside every massive model, there is a "winning ticket”, a tiny subnetwork that does all the heavy lifting.

They proved if you find it and reset it to its original state, it performs exactly like the giant version.

But there was a catch that killed adoption instantly..

you had to train the massive model first to find the ticket. nobody wanted to train twice just to deploy once. it was a cool academic flex, but useless for production.

The original 2018 paper was mind-blowing:

But today, after 8 years…

We finally have the silicon-level breakthrough we were waiting for: structured sparsity.

Modern GPUs (NVIDIA Ampere+) don’t just “simulate” pruning anymore.

They have native support for block sparsity (2:4 patterns) built directly into the hardware.

It’s not theoretical, it’s silicon-level acceleration.

The math is terrifyingly good: a 90% sparse network = 50% less memory bandwidth + 2× compute throughput. Real speed.. zero accuracy loss.

Three things just made this production-ready in 2026:

- pruning-aware training (you train sparse from day one)
- native support in pytorch 2.0 and the apple neural engine
- the realization that ai models are 90% redundant by design

Evolution over-parameterizes everything. We’re finally learning how to prune.

The era of bloated, inefficient models is officially over. The tooling finally caught up to the theory, and the winners are going to be the ones who stop paying for 90% of weights they don’t even need.

The future of AI is smaller, faster, and smarter.

[Google Research @GoogleResearch]

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc

[GTA 6 Countdown ⏳ @GTAVI_Countdown]

What Red Dead Redemption 2 does to a man.

[NBA Latam @NBALatam]

¡¡EL TRIPLE DE STEPH CURRY PARA IR A TIEMPO EXTRA!! 🔥

[Alejandro Gaitán | 🏀 @alejandroggo]

El primero del año #nightnight 🌕

[Alejandro Gaitán | 🏀 @alejandroggo]

Realmente, si lo piensas bien, no tiene sentido que una persona como Curry lleve más de una década aterrorizando la NBA como lo ha hecho.

Especial como ningún otro.

[GSWL @GSWarriorsLatam]

NIGHT NIGHT, LOS ANGELES😴😴😴

[GSWL @GSWarriorsLatam]

No somos conscientes. Es la dupla de todos los tiempos.

Fornicaron en Los Angeles.

[FabianSteven @FabianStevenAT]

@kemirapirobo @JannisZ15 @ginger_fake_ Plata es plata

[FabianSteven @FabianStevenAT]

@kemirapirobo @JannisZ15 @ginger_fake_ :0

[Milanistasemper @milanistsemper]

🚨 La presentazione di #Modric ❤️🖤

[EWC Extra @EWC_Extra]

HOLD IT HIGH 🏆 @MagnusCarlsen

[Mathelirium @mathelirium]

Harmonics of Roots of Complex Polynomials

polynomial equation by @S_Conradi

[Mathelirium @mathelirium]

Maths art based on Collatz sequences

[Es tendencia en 𝕏 @EsTendenciaEnX]

“Ardilla”:
Porque se mandó una cagada y se hizo la que la escoba la mató para zafar

[AC Milan @acmilan]

It’s official: Luka Modrić is Rossonero ❤️🖤

#WelcomeModrić

[AC Milan @acmilan]

Legend. 🌟

#WelcomeModrić