⚪ NEOTLIX.SPACE — كل مبدع هو مخرج. كل مشجع هو نجم المستقبل! ⚪ يمكن لأي شخص أن يبطِل في أي فيديو ⚪ أجرِ وجهك ⚪ حقق أرباحًا من فيديوهاتك ⚪ حوِّل متابعيك إلى إتاوات ⚪ شاهد كيف يعمل ⚪

التالي

Chelsea Finn: This is the State of the Art in Robotics Chelsea Finn: This is the State of the Art in Robotics 59 دقيقة 3 Things We Got Wrong About The Steam Machine 3 Things We Got Wrong About The Steam Machine 1 دقيقة Is Yvonne Happy with Her New Laptop? Is Yvonne Happy with Her New Laptop? 12 دقيقة Lewis Hamilton Explains F1 Tire Strategy Lewis Hamilton Explains F1 Tire Strategy 1 دقيقة Tech Russian Roulette with True or False Questions! Tech Russian Roulette with True or False Questions! 1 دقيقة $1 vs $100 LED Gadgets $1 vs $100 LED Gadgets 1 دقيقة How A Zero G Plane Works How A Zero G Plane Works 1 دقيقة This GPU can be Hacked to Unlock Secret Memory This GPU can be Hacked to Unlock Secret Memory 20 دقيقة How Apple AirPods Work How Apple AirPods Work 19 دقيقة How American Tanks are being Destroyed in Ukraine How American Tanks are being Destroyed in Ukraine 2 دقيقة NASA’s Next Monster Telescope NASA’s Next Monster Telescope 22 دقيقة How many LTT MCM Arches can hold a PC? 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Chelsea Finn: This is the State of the Art in Robotics

2026 59 دقيقة

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

البلد

الولايات المتحدة

اعمل مع هذا المبدع

الحزم التي ينشرها المبدع وراء هذا الفيديو.

جميع الحزم

لم يحدد هذا المبدع أسعاره بعد. أرسل طلبًا وسنمرره — يتم الاتفاق على السعر قبل فرض أي رسوم.

المشاركة الشهرية

شهريًا

مقعد متكرر في محتواي. يدخل المشتركون في قائمة انتظار — أو سحب عشوائي عندما يكون عدد المشتركين أكثر من المواقع — ويظهرون في الفيديو نفسه، أو في الاعتمادات، أو في الوصف.

السعر عند الطلب

سجّل الدخول للطلب

توظيف مضمون — فيديو جديد

مرة واحدة

ظهور مضمون لمدة ١٠ ثوانٍ على الأقل في فيديوي التالي. يعتمد السعر على مكان الإدراج في مدة العرض.

السعر عند الطلب

  • أول ١-٣ دقائق
  • منتصف الفيديو
  • نهاية الفيديو
سجّل الدخول للطلب

توظيف مضمون — مقطع قصير

مرة واحدة

ظهور مضمون لمدة ١٠ ثوانٍ على الأقل داخل مقطع قصير مقتطع من أحد فيديوهاتي الموجودة.

السعر عند الطلب

سجّل الدخول للطلب

المزيد مثل هذا

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