Based on this YouTube video's total view count of 200K views and industry-standard rates, the estimated total earning is $140 - $400 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21 with 200,161 views, 4,953 likes, and 199 comments. Experience the impact of this video content that has captured audience attention.

Chris Lattner is a senior director at Google working on several projects including CPU, GPU, TPU accelerators for TensorFlow, Swift for TensorFlow, and all kinds of machine learning compiler magic going on behind the scenes. He is one of the top experts in the world on compiler technologies, which means he deeply understands the intricacies of how hardware and software come together to create efficient code. He created the LLVM compiler infrastructure project and the CLang compiler. He led major engineering efforts at Apple, including the creation of the Swift programming language. He also briefly spent time at Tesla as VP of Autopilot Software during the transition from Autopilot hardware 1 to hardware 2, when Tesla essentially started from scratch to build an in-house software infrastructure for Autopilot. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep21-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 1:30 - First program, BASIC, Pascal, C 4:20 - Compilers, LLVM, CLang 37:30 - Apple - LLVM, Objective-C, Swift 45:30 - Google - Swift, Swift for TensorFlow, compilers, Colab 57:32 - TPU & TensorFlow, hardware/software co-design 1:00:30 - MLIR (Multi-Level Intermediate Representation) framework 1:02:40 - Open sourcing of TensorFlow 1:05:10 - Tesla - transition from HW1 to HW2 1:07:24 - Elon Musk and time at Tesla 1:08:45 - Working hard 1:10:40 - Dragons *PODCAST LINKS:* - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://open.spotify.com/episode/5fpAb2OpRL3Uy8ZTq94vD8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips *SOCIAL LINKS:* - X: https://x.com/lexfridman - Instagram: https://instagram.com/lexfridman - TikTok: https://tiktok.com/@lexfridman - LinkedIn: https://linkedin.com/in/lexfridman - Facebook: https://facebook.com/lexfridman - Patreon: https://patreon.com/lexfridman - Telegram: https://t.me/lexfridman - Reddit: https://reddit.com/r/lexfridman

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.