Ep 94: Applied Compute CEO on the Limits of RL, the New AI Hyperscaler & Why Post-Training Wins Inference
Yash Patil, CEO of Applied Compute, joins Jacob Effron on the podcast Unsupervised Learning to discuss the strategic importance of owning proprietary AI intelligence through post-training, reinforcement learning (RL), and custom model infrastructure. The conversation centers on why enterp
Sign up to read the full summary
Free AI-powered recaps of every episode, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.
Guest
Yash Patil
conversational on Unsupervised Learning with Jacob Effron
Mentions
Books, people, and resources mentioned in this episode.
People
Companies
Products & Tools
Topics
Listen to This Episode
More from Unsupervised Learning with Jacob Effron
Ep 92: xAI Co-Founder Unpacks the Future of Model Development
AI Vibe Check: Lab Wars, Why APIs Might Vanish & Future Predictions
Ep 91: Top AI Analyst Unpacks Today's AI Hype Cycle
Ep 89: AI Research Legend’s Honest Assessment of Where We Are
Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
AI Vibe Check: Chinese Open Models, Distillation & The Hugging Face Breach
Related episodes
From other shows on similar topics.
Anjney Midha's Plan to Radically Lower the Price of Compute
Odd Lots
Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs
All-In with Chamath, Jason, Sacks & Friedberg
Your Company Doesn’t Need an AI Strategy
The AI Daily Brief: Artificial Intelligence News and Analysis
How to Actually Implement AI in Your Business Without Wasting Six Months
The Vault Unlocked
Open Models Change The Economics of AI
Y Combinator Startup Podcast
Why companies are becoming a series of loops | Anish Acharya (a16z)
Lenny's Podcast: Product | Career | Growth
Get summaries like this every morning.
Free AI-powered recaps of Unsupervised Learning with Jacob Effron and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.