Better Data is All You Need — Ari Morcos, Datology
Our chat with Ari shows that data curation is the most impactful and underinvested area in AI. He argues that the prevailing focus on model architecture and compute scaling overlooks the “bitter lesson” that “models are what they eat.” Effective data curation—a sophisticated process involving filtering, rebalancing,…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Latent Space: The AI Engineer Podcast
See all episodes →
64%🔬Scaling Past Informal AI - Carina Hong, Axiom Math
34%🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Runway’s WorldPrompt and the Engineering of Real-Time Worlds
Similar episodes from other shows
More like Latent Space: The AI Engineer Podcast →
20VC: Why Data Size Matters More Than Model Size, Why The Google Employee Was Wrong; OpenAI and Google Have the Advantage & Why Open Source is Not Going to Win with Douwe Kiela, Co-Founder @ Contextual AI
Andrej Karpathy — AGI is still a decade away
The Most Important AI Lesson Businesses Learned in 2025
29%86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.