what are the best educational resources for "how to use noise" effectively in computer graphics and technical art? Book of Shaders is amazing and where I got started, so what's the next level of learning to really build an intuition for different noise functions and parameters?

ty Rive this is great bait You have prob seen a lot of 'em but spline, modyfi, paper, bitspace, unicorn, unbound, womp, morflax, kite and of course my humble tool (tentatively: cloan). The thing that rive is doing so right is its narrower focus and strong opinions on workflow for

15 years of nonstop improvement to couple the web's delivery model with the capabilities of modern graphics software. an overnight success!

open data model = extensibility for free

🤯 Jack Dent and the team at Chai are advancing science

Beta for the mac version is starting. Let me know if you want in!

Selling an SDK is hard. Easy adoption feels critical, but adoption drivers (open source, evaluation versions, feature gating) all anchor the price low. 🥒

Silicon Jungle Choose your fighter: AI at import time (art generation) AI at build time (logic generation) AI at runtime (generative play) I think the holy grail architecture is modeling the AI agents as local first multiplayer actors (h/t sunil pai)

shapeshift labs is no longer just research. it’s a game studio. and i’m going all in on making inkwell. but to make the next paradigm of games, i need to build tools! so i’ll be releasing a bunch of those along the way. and i’ll be doing it all in public.

Having worked on both distributed systems and game engines quite a bit, some cool ways I have heard them compared from people I admire are: "Games are distributed systems, it's just microseconds instead of milliseconds" "'Games' are basically just big bundles of almost all of

tldraw enters the third dimension

cool to consider how accessible intelligence will give utilities a much quicker evolutionary path. cross platform, lean, portable layout algorithm is one of out thousands that could directly make today’s products better, and it can make other products positive ROI that were

Proud to announce @ChaiDiscovery has raised a $70M Series A from Menlo Ventures & Anthology Fund (Anthropic), Thrive Capital, OpenAI + others. 🧬 Chai is an applied AI lab building frontier tools for molecular design. This funding will power our new models, coming soon👇

Generate the code & assets, but then continue art direction in-context with normal tools people know and love. This is the way.