ragri5

To my fellow 3D artists and animators who use Blender for your projects, Blender just pulled a big W by taking a financial risk. So, if possible, give them what you’re willing donate so that they can continue operations without having to rely on companies who prioritize AI.

I actually did this once but mom was stalking me from afar lmao

new banksy artwork, a man blinded by his flag

Jorey Hurley has a knack for saying so much with so little — spare, confident lines and bold, sun-warm color that turn quiet, gentle scenes into full-bodied emotion (AI still needs a little more time to learn it)

"Gomez and Morticia Addams" by artist Denver Balbaboco

Valve / Steam Founder Gabe Newell on piracy "THE EASIEST WAY TO END PIRACY ISN'T BY USING ANTI-PIRACY TECHNOLOGY. IT'S BY GIVING PEOPLE A SERVICE THAT'S BETTER THAN WHAT THEY'RE GETTING FROM THE PIRATES"

Hi Hamid, I am Yusuf. I came across your mountains post from yesterday 25/4, and it stopped me completely. I decided to push myself to the limit and implement your formula from scratch, pixel by pixel, as a personal mathematical challenge. After careful study of the image, I have successfully identified and understood 12 of the 14 mathematical objects: ✓ F(x) — color compression to [0, 255] ✓ N_s(x,y) — fractal noise with 6^5 * 5^(-s) frequency scaling ✓ E(x,y) — fractal envelope as a 50-term weighted sum ✓ Z_s(x,y) — layer occlusion product ✓ S(x,y) — sky value ✓ R(x,y) — layer depth value ✓ T(x,y) — distance to mountain center ✓ B(x,y) — slope angle via arctan ✓ A(x,y) — layer brightness ✓ H_v(x,y) — final color channel for v = 0, 1, 2 ✓ Coordinate mapping: x = (m-1000)/600, y = (601-n)/600 ✓ The full N_s structure The two I cannot read precisely enough from the image are: ✗ J_s(x,y) — the mountain shape indicator ✗ K_v(x,y) — the lighting kernel I can see the general structure of both. J_s uses a double exponential with cosine products and E(x,y)/1000 in the exponent, and K_v sums 50 terms of (91/100)^s weighted by cosines involving T, B and v. But the exact coefficients inside the ridge shape term of J_s and the cosine arguments of K_v are too dense to read at the resolution I have. What I am currently seeing in my attempts: the layering and occlusion work correctly and the fractal texture E renders as expected, but without the exact J_s the mountain silhouettes are wrong. Peaks appear at incorrect positions and the snow and rock boundary does not match your image. This is purely a personal challenge. I am not doing this for any commercial purpose. Could you point me to where the full formula is published, or share a higher resolution crop of the equation panel from that post? Even just confirming those two functions would be enough to complete the implementation. Thank you. Yusuf

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DEADLOCK

It took a pencil, my own two hands, a brain, and 30 seconds. I’m tired of this

As major news outlets cut off the Wayback Machine, journalists and advocacy groups are rallying to protect the Internet Archive’s vast collection of web pages. wired.com/story/the-inte…

feels so good to be getting better at deadlock

🐧🛁

@sycamoretwelve Hi

i can’t explain it, but THIS is my problem with all these remakes.