Trillions Are Flowing Into AI, But It's Getting WORSE
Coin Bureau
Summary
This video explains why the user experience with AI is deteriorating despite massive investments and advancements in the technology. It discusses how AI, initially free and simple, has transitioned into a complex, monetized ecosystem with unpredictable model changes, restrictive subscriptions, and shifting 'personalities' due to safety alignment. The speaker highlights issues like 'AI slop' flooding the internet and the risk of future models being trained on low-quality data. Ultimately, the video argues that users are losing control over these powerful tools, leading to a noticeable gap between AI's increasing capabilities and its diminishing usability in everyday tasks.
Chapters
- 0:00Why AI Feels Worse
- 0:54Monetizing AI Dependency
- 3:06Unpredictable AI Model Changes
- 5:39Confusing Subscription Structures
- 7:39AI Personality: Alignment Sludge
- 9:48Benchmarks vs. Real-World Use
- 12:28AI Feature Creep & Complexity
- 14:49The Problem of AI Slop
- 17:15Losing Control: Open Models
Topics covered
- The AI Paradox: Smarter Yet Worse User Experience
- Evolution of AI Subscription Models
+8 more topics (full content when you follow the channel)
Transcript excerpt
Trillions of dollars are being poured intoย AI chips, models, and gigantic data centers. And every few months, some new model arrives,ย promising either superior reasoning or improved coding. But if AI actually is getting smarter andย more capable, then why are so many complaining about AI getting worse? Users are reportingย weirder mistakes, answers becoming more cautious, subscriptions getting confusing, and limits thatย are more restrictive with less predictable tools. So, what the hell is going on here? Well,ย in this video, we'll explain how AI can keep getting smarter while the experience surroundingย it gets noticeably worse, and why the technology we're all becoming increasingly dependent upon isย becoming less and less ours. My name is Lewis and you're watching the Coin Bureau. To understandย why AI feels different today, we need to go back to the beginning. Not the beginning ofโฆ