14,072
likes
1,839
comments
daily view 0
monthly view 0

Share

Live Analytics

Comments 0

The Math Behind “AI Will Replace Engineers” Is Embarrassingly Wrong​​​​​​​​​​​​​​​​ Analytics Table

Income Estimates for The Math Behind “AI Will Replace Engineers” Is Embarrassingly Wrong​​​​​​​​​​​​​​​​

Based on this YouTube video's total view count of 315K views and industry-standard rates, the estimated total earning is $221 - $632 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

About The Math Behind “AI Will Replace Engineers” Is Embarrassingly Wrong​​​​​​​​​​​​​​​​

Explore The Math Behind “AI Will Replace Engineers” Is Embarrassingly Wrong​​​​​​​​​​​​​​​​ with 315,933 views, 14,072 likes, and 1,839 comments. Experience the impact of this video content that has captured audience attention.

Welcome to my channel! I’m passionate about technology and content creation, and this channel is my way of sharing knowledge, and disproving misconceptions. 00:43 –Purpose of the Video 01:42 –Fear vs Reality in Career Decisions 02:22 –What “AI Replacing Jobs” Actually Means 03:07 –How Neural Networks Work (Basic Math) 04:03 –Transformers & Attention Mechanism 05:18 –Why Transformers Are Faster Than Older Models 07:31 –Why AI Scaled So Fast 08:42 –The S-Curve of Technology Growth 10:13 –Why Exponential Growth Doesn’t Last Forever 11:26 –Where AI Currently Sits on the Curve 12:07 –OpenAI Scaling Laws Explained 13:15 –Bigger Models = Smaller Gains 14:07 –“Test-Time Compute” & Thinking Models 15:12 –Efficiency Tricks (Quantization, MoE, etc.) 17:04 –Infrastructure Cost Problem 18:12 –Why AI Growth Was a One-Time Alignment 19:08 –Demos vs Real-World Deployment 20:22 –The Core Claim Revisited 21:01 –Hardware Limits: Memory Bottleneck 23:07 –Why Models Must Use Multiple GPUs 24:08 –Training vs Inference Complexity 25:06 –KV Cache & Conversation Memory 26:20 –Scaling Problem with AI Agents 27:18 –Why Faster Chips Don’t Solve It 28:08 –Amdahl’s Law & GPU Scaling Limits 30:31 –Manufacturing Bottlenecks 32:37 –AI = Electricity → Compute → Heat 33:17 –Data Center & Power Constraints 34:08 –Energy Math: Replacing Workers 36:27 –Why This Scale Is Unrealistic 37:25 –Jobs = Bundles of Tasks 38:07 –Accountability & Risk Problem 39:17 –Hallucinations & Reliability Limits 40:22 –Why “Fixing AI” Isn’t Easy 41:08 –Slow Enterprise Adoption 42:00 –Historical Comparison (Internet, Electricity) 42:44 –Realistic Timeline for AI Impact For inquiries --------------------------- Email: [email protected] Linkedin: https://www.linkedin.com/in/jovan-hall Instagram: Jovanhall1 --------------------------- :) *Subscribe for weekly videos* *Share your thoughts in the comments!*

About YouTube Real-Time View Count

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.

Embed Widget

Parameters:

  • fullscreen=true - Fullscreen counter
  • graph=true - Live graph chart
  • counter=0/1/2 - Select counter (0=likes, 1=views, 2=comments)
URL

Click to copy the embed URL to your clipboard