Your brain deserves better than brain rot 🧠
Come learn with Big Ideas: compound eyes 🐝 eggs 🥚 bioluminescence ✨
Human made. Real scientists. Real filming.
Out now: https://t.co/jE00SnjDLt
from the @kqedscience team behind @deeplook
1/2 "It seems silly, but it's a very important problem." Virginia Vassilevska Williams (@MIT) on the progress in matrix multiplication algorithms during her Richard M. Karp Distinguished Lecture On Matrix Multiplication Algorithms at the Simons Institute. https://t.co/x3V0Z9HXFR
🎓 Started my Science Communicator Residency at @UCBerkeley’s @SimonsInstitute ! I'm learning how advances in matrix multiplication shape the future of AI and turning it into a mini documentary.
🎥 A peek into my first day:
Prof Williams now studies when speed runs out.
Her field, fine-grained complexity, reveals how close we are to the limits of computation and why some problems resist every shortcut.
@SimonsInstitute#SimonsLive
Nearly everything in modern computing depends on matrix multiplication and researchers are still chasing the fastest way to do it.
Virginia Vassilevska Williams helped break this speed record, then turned to understanding why some barriers can’t be broken at all.
@SimonsInstitute
Avoiding unnecessary data movement saves energy too!
Holtz showed how communication-avoiding algorithms can find a sweet spot where less motion —> lower energy use without slowing computation.
@SimonsInstitute#SimonsLive
This week I’m at a matrix multiplication workshop (me, not a mathematician or computer programmer) because multiplying matrices of numbers sits behind every single AI model and every big data crunch, and I want to understand these systems better. @SimonsInstitute#SimonsLive
Most of a computer’s effort isn’t doing math, it’s moving data, aka every trip between memory & processor = costs in time & power
This is the communication cost, a framework researchers use to measure and reduce that hidden expense.
from Olga Holtz @SimonsInstitute#SimonsLive
How to make matrix multiplication practical
Mathematically:
- shrink the exponents and constants that set its speed
Hardware:
- move data less
- handle smaller chunks more efficiently
(from Oded Schwartz) @SimonsInstitute#SimonsLive
If we can multiply matrices even a little faster, the effects ripple outward. AI models could train more quickly, supercomputers could run with less energy, and data centers might draw less power from the grid.(Efficiency here is environmental as much as intellectual) #SimonsLive
Matrix multiplication is the engine of modern computation. It powers neural networks, graphics, and massive data analysis. Every improvement changes what computers can do within the same energy and hardware limits. #SimonsLive
I’ll be here for the next month, following how researchers rethink one of the most fundamental operations in computing and how a small tweak in efficiency could reshape technology. #SimonsLive
with all the social media apps slowly morphing into each other, you’d think there’d be more tools to just cross post things everywhere but ohhhh nooooo the kids can’t play together
from filming SciShow to habit tracking to my banana bday party 🍌 tryna chase perfect productivity but there’s always more to do, so i just gotta ride a wave of momentum 📔 🎬 🧳 #weekinmylife https://t.co/N9fyahd5qu
does that VIRAL anti-bloat tonic really work!? I put it to the test—tracking real results (and some surprises) in hopes of better gut health. 💛🫚🍋 #GutHealth#ScienceOfBeauty
https://t.co/E95afwtEm3
stomach massages to toe separators to glowy skin – I tested the rednote morning routine to see if if it actually works and how ོ₊⁺☀︎₊⋆.˚ https://t.co/VGXm9HeTgD