AI Bubble? Why the Hype Dies but Machine Learning Stays
Jan 11, 2026•Channel
AI Analysis
Data from YouTube Data API v3•Updated Just now
Video Overview
Video Details
Published6 months ago
Duration53:38
Video IDIcqEBdYGYyY
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views8.9K
Likes359
Comments57
Engagement Rate4.67%
Likes per 100 views4.03
Comments per 1K views6.39
Video Tags
Description
Dr. Mike Pound returns to discuss the reality check AI needs in 2026. We dive into why the scaling laws are plateauing, the truth about "Agentic AI," and why "Vibe Coding" might be slower than you think.
// Mike SOCIAL //
X: https://twitter.com/_mikepound
// Courses Reference //
https://www.coursera.org/specializations/deep-learning
// David's SOCIAL //
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// MY STUFF //
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// MENU //
0:00 - Coming up
0:57 - Hype vs. Real Life // The AI bubble
04:08 - Levels of AI
07:58 - Agentic AI explained
11:28 - MCP servers explained
12:46 - The future of AI
16:10 - Which career path to take
21:04 - The risks of vibe coding
24:17 - How efficient is AI?
25:41 - How to get into AI // What to learn
32:20 - Is it too late to get into AI?
37:10 - Is AI scaling over?
41:49 - AI and privacy
48:52 - Where to start
53:15 - Conclusion
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Disclaimer: This video is for educational purposes only.
#ai #llm #aibubble