Participare lunară
pe lunăUn loc recurent în conținutul meu. Abonații intră într-o coadă — sau într-o tragere la sorți când sunt mai mulți abonați decât sloturi — și apar în videoclipul în sine, în credite sau în descriere.
pe lună
Preț la cerere
Următorul
Chelsea Finn: This is the State of the Art in Robotics 59 min
Your Next Budget PC Upgrade is...Custom Watercooling?? 25 min
This is NOT an iPhone 2 min
New Alien Host Planet Just Dropped 1 min
Apple Intelligence scares me 1 min
Android 17 Is the Biggest Upgrade in Years 18 min
Every iPhone Ever. SAME photo! 1 min
This GPU can be Hacked to Unlock Secret Memory 20 min
The Weird Orbit of the ISS 2 min
The Best Value Gaming PC I’ve Ever Seen 12 min
How Strong Is The STRONGEST Magnet? 1 min
Why Only 1% of All Possible Flights Are Direct 12 min
Not all steps are created equal! Some cool new science looking at how effective step count is. 2 min
The Stinky Fish Sauce Ancient Romans Couldn’t Live Without 14 min
SciShow is heading into the field TOMORROW with the all new Field Trips mini series. 1 min
What Bothers Physicists About Black Holes (Interview with Brian Cox) 74 min
SciShow is in the field NOW! 1 min
I Tested YouTubers' Favourite Products 30 min
How the Boeing 787 Works | Full Documentary 66 min
Drilling Into Rock With Radiation 2 min
$1 vs $50 Phone Charger. What’s the difference? 3 min
Match Day #PeppaPig #Shorts 1 min
The Truth about Area 51 39 min
Using a Schlieren Lens to Visualize Air Flow! (Members Update #47) 8 min
AI News: The Most Insane Week So Far This Year! 31 min
What's Really Living in the Subway 11 min
I Built a FREE App That Runs Your Entire Business 28 min
AI News: Fable's Back But This New Model is Better? 30 min
Cardboard Cars Song | Street Vehicle | Nursery Rhymes & Kids Songs | BabyBus 38 min
Peppa Makes a SPECIAL Delivery! #PeppaPig #Shorts 1 min
Gold Explained, Finally 33 min
How do you pray when you don’t believe in God? 3 min
Data centers can’t win on Earth. How about in space? 2 min
How a crucial battleground candidate is rethinking AI safety 2 min
Things I put her through. #crazypartnerthings 1 min
PLANET 9 — THE COMPLETE Ai SCI-FI SERIES | CHAPTERS 1–5 15 min
One Piece of News From Every Country in the World (Pt 2) 38 min
100 Hours in Europe's Most Corrupt Country 34 min
How Earthquake Bearings Work 19 min
What does a parent owe their child? | The Gray Area 27 min
What If I Fell Into A Black Hole? 20 min
I Paid a Taxi $10,000 to See How Far it Takes Me! 1 min
Astronauts Are Seeing Weird Things In Space 1 min
Scientists Are Turning Your Organs Young Again 1 min
Dark Secrets Hidden in America’s Most Isolated Islands (nobody comes here) 39 min
We Took Our Food Delivery Man on His First Vacation 46 min
Checking the TUNNELS under my house 1 min
Fixing the Most Dangerous Dam in the World 23 min
Why American Airlines Stopped Making Money 22 min
Why Does Japan Have 9,000,000 Abandoned Homes? 38 min
Why is this piece of America still owned by France? 23 min Robots can already fold laundry, make espresso, clean kitchens, and assemble things. The harder problem is getting them to do those tasks reliably, for long periods of time, without a human babysitting them. At Startup School 2026, Physical Intelligence cofounder Chelsea Finn explains what it takes to build general-purpose robots that work in the real world. She shares how reinforcement learning pushed robot throughput up 2x, how their systems can run autonomously for hours, and why she believes robotics is entering its GPT era: moving from specialized models toward general-purpose systems that can work across tasks, robots, and environments. Transcript: https://www.ycrootaccess.com/p/chelsea-finn-on-the-next-decade-in Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — The State of Physical Intelligence 01:23 — What It Takes to Make Robots Useful 05:11 — The Reliability Problem 07:43 — Reinforcement Learning for Robotics 09:35 — Learning From Failures 12:43 — Training Robots to Improve Themselves 14:21 — Can a Robot Work for 13 Hours Straight? 17:36 — Why Robots Need Memory 21:22 — Building a General-Purpose Robot 25:02 — From Fine-Tuning to Out-of-the-Box Models 27:35 — Training on All the Data 30:20 — One Model That Beats the Specialists 31:21 — Compositional Generalization 37:49 — The GPT Era of Robotics 39:49 — Q&A
Pachete publicate de creatorul din spatele acestui videoclip.
Acest creator nu și-a stabilit încă tarifele. Trimite o cerere și o vom transmite — prețul este agreat înainte de a se percepe orice.
Un loc recurent în conținutul meu. Abonații intră într-o coadă — sau într-o tragere la sorți când sunt mai mulți abonați decât sloturi — și apar în videoclipul în sine, în credite sau în descriere.
pe lună
Preț la cerere
O apariție garantată de cel puțin 10 secunde în următorul meu videoclip. Prețul depinde de locul inserției în durata de rulare.
Preț la cerere
O apariție garantată de cel puțin 10 secunde într-un Short tăiat dintr-un videoclip existent al meu.
unică
Preț la cerere