43:I[58016,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/9d0b0183cc9835a0.js","/_next/static/chunks/88bed98e5cd5e639.js"],"ProcessEpisodeButton"] 46:I[45269,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/9d0b0183cc9835a0.js","/_next/static/chunks/88bed98e5cd5e639.js"],"SignupCTA"] 48:I[56939,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/9d0b0183cc9835a0.js","/_next/static/chunks/88bed98e5cd5e639.js"],"EpisodeTranscript"] 3d:["$","div",null,{"className":"flex flex-col gap-2 text-sm text-muted-foreground","children":[["$","span",null,{"className":"inline-flex items-center gap-2 bg-secondary/50 px-3 py-1 rounded-full","children":[["$","svg",null,{"className":"w-4 h-4","fill":"none","stroke":"currentColor","viewBox":"0 0 24 24","children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z"}]}],["$","time",null,{"dateTime":"2025-01-09T11:57:00.000Z","children":"Thu Jan 09 2025"}]]}],["$","p",null,{"className":"text-base text-foreground/80 leading-relaxed","children":"What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling...."}]]}] 44:T4a2,What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.
In This Episode
Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)
The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)
Not sure if you need machine learning or just plain data modeling? Michael lays it out for you
What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond

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Cows, Camels, and the Human Brain - ML 182