Ilya Sutskever on Why Models Still Can't Generalize Like Humans
research training interview agi inference
The former OpenAI Chief Scientist explains the gap between eval performance and real-world capability, and why the AI scaling era may be ending.
Read full article →Related Videos
10 Things to Know Before Your First AI SDR Rollout
SaaStr AI · Mar 12
Elon Musk: We're in the Hard Takeoff Right Now
Peter H. Diamandis · Mar 11
Sam Altman: Intelligence Will Be a Utility Like Water
DRM News · Mar 11
Steve Yegge: Big Tech Is Quietly Dying
The Pragmatic Engineer · Mar 11
Onshore CEO: Why AI Will Replace Accounting Firms
YC Root Access · Mar 7
Pulsia Demo: AI That Builds Your Startup
Andreas Klinger · Mar 6
Atlassian CEO: SaaS Isn't Dying, It's Doing Work
a16z · Mar 6
How Coinbase Scaled AI to 1,000+ Engineers
How I AI · Mar 2
Jenny Wen on Why the Design Process Is Dead
Lenny's Podcast · Mar 1
CNBC: AI's Third Inflection — Agents Now Do Work
CNBC · Feb 28
Geoffrey Hinton on StarTalk: Is AI Hiding Its Power?
StarTalk · Feb 28
Jerry Murdock: Autonomous Agents Are the SaaS Tsunami
20VC with Harry Stebbings · Feb 28
Nadella: Every AI Agent Will Need Office
OMR Podcast · Feb 28
Polsia: Solo Founder Hits $1M ARR With AI-Run Companies
Latent Space · Feb 28
9 Components of an AI Operating System for Business
Daron Vener · Feb 25
Mitchell Hashimoto's New Way of Writing Code
The Pragmatic Engineer · Feb 25
Letter AI Raises $40M for AI-Native Sales Agents
YC Root Access · Feb 25
Top 5 Issues Managing 20+ AI Agents in Production
SaaStr AI · Feb 25
Dario Amodei: The AI Tsunami Society Isn't Ready For
Nikhil Kamath · Feb 24
How to Build AI Agent Skills That Actually Work
Ben AI · Feb 24