Marcelo de G. Malheiros

Patterns. Simulation. Graphics. Compilers. Creative Coding.

Moved to:

[Matt Henderson @matthen2]

convert any number x into a 2D shape by building a fourier series from its binary expansion, and plotting it as a polar plot. because why not?

- fractions with power of two denominators are smooth blobs
- other rationals have discontinuities + spikes
- irrationals are fractals

[Matt Henderson @matthen2]

All 16,777,216 possible RGB colours in one image, each exactly once (modulo Twitter compression).

Arranged by threading a Hilbert curve through the 256³ colour cube and unrolling it along a Hilbert curve filling the square. so nearby colours stay close.

[Matt Henderson @matthen2]

how shaders work- using Excel

=LET(x,(COLUMN()-24)/15,y,(ROW()-15)/15,SIN(SQRT(x*x+y*y)*10-t))

Each cell (pixel) computes its colour just from its coordinates- so the GPU can massively parallelise them.

The trick is writing the formula to draw the picture you want

[おかず / Okazz @okazz_]

チル目のシェイプ
https://t.co/i3W74pQyVW

[yonatan @zozuar]

Same scene raymarched for 16 steps. Left side is the standard way, right side does "speculative marching". Details here: https://t.co/bSaeH0vcZr

[Xor @XorDev]

Before I go, have fun with FragCoord 1.3: Outputs.
-Countless improvements to the interface.
-Added 1D, 3D and Cubemap buffers for Pro users.
-Added MRT support for Pro users.
-Unified the explore page

Bit by bit, FC is becoming a more refined and capable tool!

[おかず / Okazz @okazz_]

👁️

[Yann Le Gall @Yann_LeGall]

inspired to try this contour-smoothing effect I saw in a sketch by @zachlieberman

[Takashi Kitao @kitao]

Pyxel is a free, open-source retro game engine for Python. Give it a star on GitHub to support the project!

Pyxelは、Python向けの無料・オープンソースのレトロゲームエンジンです。GitHubでスターをつけて応援をよろしくお願いします！

https://t.co/kQjZxGQNjV

#pyxel #python #gamedev

[Xor @XorDev]

Spiral Zoom by @clippecac

[Yohei Nishitsuji @YoheiNishitsuji]

#つぶやきGLSL float i,e,R,s;vec3 q,p,d=vec3(FC.xy/r*.6+vec2(-.3,.7),1);for(q.zy--;i++<99.;){o.rgb+=.02-hsv(R/e-R,.6,min(e,d.y)/16.);s=7.,p=q+=d*e*R*.1;p=vec3(log2(R=length(p))-t*.5,exp(R-p.z/R*.13),atan(p.y,p.x)-t*.5);for(e=--p.y;s<1e3;s+=s)e+=dot(sin(p.xz*s),sin(p.xx*s+.5))/s;}

[Brian Roemmele @BrianRoemmele]

The Well Just Dropped: 15 Terabytes of Pure Physics Gold Is Now Open Source

The scientific AI world just got a massive upgrade.Polymathic AI, in collaboration with the Flatiron Institute and researchers from Princeton, Cambridge, NYU, Berkeley, Los Alamos, and more, has released The Well: a staggering 15TB collection of high-fidelity physics simulations.

This isn’t toy data.

These are real, expensive-to-run simulations across 16 different physical domains, including turbulent fluid dynamics, supernova explosions, magneto-hydrodynamic cosmic flows, acoustic scattering, and active biological matter.

Until now, reproducing this level of data required weeks on national supercomputers and grant money most teams will never see. The Well changes everything. It’s purpose-built for training PDE surrogate models the AI systems that can replace slow, costly physics solvers with a single fast neural network forward pass.

Everything is fully open source, easy to load with PyTorch, and ready to drop straight into your training pipeline. Researchers and builders can now train on world-class physics data without the insane compute barriers that used to stand in the way.

This is more than just another dataset drop. It’s a serious accelerator for scientific machine learning.The future of physics-informed AI just got a whole lot more accessible.Get it here:
https://t.co/mIW0xA6RAs

[Yohei Nishitsuji @YoheiNishitsuji]

#つぶやきGLSL float i,e,R,s;vec3 q,p,d=vec3((FC.xy-r*.5)/r.x,.1);for(q.yz--;i++<99.;){o.rgb+=hsv(.6+e,.4,min(e*s*e/.02,.3-e)/9.);s=1.;p=q+=d*e*R*.4;p=vec3(log(R=length(p))-t*.3,exp(-p.z/R+.5),atan(p.x,p.y)-t*.3)-1.5;for(e=--p.y;s<1e3;s+=s)e-=abs(dot(cos(p.zxy*s),sin(p*s)))/s*.4;}

[François Chollet @fchollet]

The weak AI code gen we had until late last year was most useful to low-skill programmers -- it was raising the floor. It was essentially useless to high-skill programmers -- you could move faster and ship better code without.

This has been completely flipped: the strong AI code gen we have now is *most* useful to high-skill programmers, while low-skill programmers are vastly underutilizing it or sometimes drowning in it. It went from a crutch to a power tool.

[mrdoob @mrdoob]

Added store interiors... Improved cars, trees and people... Improved camera controls... Removed SSAO...

https://t.co/cqjMAMutdg

4MB total download size
40 FPS on a MacBook Air M1
2s generation time

Getting there...