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What Top AI Labs Are Really Doing With Observability 31 min 
Why This V-22 Osprey Crashed 3 min 
Best Sony earbuds EVER!! 1 min 
I Tried All The Best (and Worst) Doorbells 18 min 
This feels illegal 1 min 
NVIDIA CEO Jensen Huang's Vision for the Future 64 min 
The new Samsung INVISIBLE Display! 1 min 
GHOST PARTICLES Are Flying Through You 2 min 
The Dark Side of the World’s Lightest Structural Metal 16 min 
The Truth About the "Whoop Killer" 18 min 
The Massive Machine Hidden in the Deep Ocean 16 min 
I tested Dream Tech with my Biggest Fans! 15 min 
This substance could revolutionize human waste 10 min 
World's Tallest Keyboard 1 min 
The Ultimate 2026 Battery Test 12 min 
Why We Can’t Find a Legal Limit for Weed 11 min 
The Hardest Problem AI Ever Solved, with Google DeepMind CEO 66 min 
iPhone 18 Pro Review - My Last iPhone? 14 min 
The magical forest realm hiding at the bottom of the ocean - Luka Seamus Wright and Salomé Buglass 6 min 
How To Survive Being Eaten 10 min 
FULL METAL ALCHEMY (ft. Sir Isaac Newton) 1 min 
I put high Speed Prop Blades on my Kayak Paddle!! 15 min 
3 Million! 1 min 
This 1950's ATV Concept ? 15 min 
The Truth About Egg Freezing 22 min 
Every US Electrical Outlet Explained 22 min 
Why Does Nobody Travel to South America's Strangest Countries? 35 min 
The Hidden Engineering of Runways 19 min 
Name That Infrastructure (Ep. 14) #shorts 1 min 
24 Hours Inside the World's Secret Gambling Capital (what happens here?) 38 min 
Jony Ive Shows The Real Process Behind the Ferrari Luce 46 min 
Freud was more right than you think | The Gray Area 57 min 
Angie Nixon’s playbook to be Florida’s next senator | America, Actually 35 min 
India’s internet war 9 min 
Europe's Most Remote Island Village (400 people live here) 41 min 
Why some of America’s wild horses are being slaughtered 2 min 
How Earthquake Bearings Work 19 min 
How to undo the damage of sitting all day | The Gray Area 42 min 
"He's not human" - The Most Isolated Man in the World 35 min 
Guess The Biggest Land Animal in Antarctica 1 min 
The WEIGHTLESS Machine 11 min 
This Machine makes me WEIGHTLESS!! 25 min 
What does a parent owe their child? | The Gray Area 27 min 
What If I Fell Into A Black Hole? 20 min 
Election deniers on the ballot 2 min 
What happens when we stop reading? | The Gray Area 52 min 
How Airlines Decide Which Plane to Use 22 min 
The Failed Logistics of Hurricane Katrina 21 min 
Choose your Whip 2 min 
How to remove AI from your life 3 min 
The ISS Is Crashing Into The Ocean 1 min In this chat at Startup School Paris, Datadog CEO Olivier Pomel reflects on his startup journey in New York, how staying close to raw customer feedback and support tickets keeps an 8,000 person company honest, and why moving faster on both hiring and firing remains the hardest thing for any founder to actually execute. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — Intro 01:43 — How Datadog Actually Started 04:47 — The DevOps Insight Behind the Company 06:17 — Riding the Cloud Explosion 07:29 — Was It Ever Obvious It Would Work? 09:03 — Building Culture Without Writing It Down 10:28 — Why Olivier Still Reads Support Tickets 14:22 — 20–25 Products: How They Decide What to Build 16:04 — Going Public on COVID Lockdown Day 19:19 — AI: Winner or Loser? 21:40 — The New Bets: Agents & Smarter Observability 24:17 — "In Two Quarters, No Code Anymore" 25:49 — 20 Years With a Co-Founder 27:10 — Start in Europe or Move to the US? 28:39 — Outro
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