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Enterprises run on causal questions. Traditional ML can't answer them reliably. Causal AI robustly answers these causal questions. Historically, those interested in causality have focused on cause-effect questions with a few variables, and answers to these causal questions are

godbolt.org brings such joy to my life Love it

Growing up speaking Persian, it’s strange to me that English doesn’t have a standard word for asking an object’s place in an ordered sequence I sometimes use “whicheth” “Whicheth of your parent’s kids are you?” The 4th “Whicheth President was Obama?” 44th

so much to do, so little time

a must-read for any cs student plg.uwaterloo.ca/~gvcormac/labs… grateful to have been one of the last classes Cormack taught at Waterloo

There's a lot of interesting courses at waterloo but there is no good search for them 🔎 A quick weekend project with my friend Matia (not on X yet) fixed this! uwcourses.matialee.com

🎪 Join our Show & Tell!🪄 🎤 Our newest addition to the team Parsa Bahrami will present his work on The Shell! 📅 10-01, 16:00 Berlin Time (GMT+2) 📍 Online Discord event: discord.gg/PuhhWbV3?event… 📺 Youtube Livestream: youtube.com/live/0n-NFK2fa…

Want to know how we made Pixi tasks even more powerful? Then check out Parsa Bahraminejad's new blog post! 🚀 prefix.dev/blog/less-boil…

wake print sleep repeat

I wonder how this guy does it

i'm surprised no one's connected Roy's playbook to the Icon playbook a couple months back - have an unusable product - dominate mindshare for potential buyers (don't show product yet) - buy time for the ai to catch up, to bail you out