Trillions Are Flowing Into AI, But It's Getting WORSE

Coin Bureau

Resumen

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.

Capítulos

  1. 0:00AI empeora, ¿por qué?
  2. 0:48Fin de la luna de miel
  3. 3:07Modelos AI inconsistentes
  4. 5:37El laberinto de suscripciones
  5. 7:40Extraña personalidad de AI
  6. 9:48Benchmarks vs. Realidad
  7. 12:25Inflación de funciones AI
  8. 14:49El problema del "AI slop"
  9. 17:10Pérdida de control del usuario

Temas tratados

  • The AI Paradox: Smarter Yet Worse User Experience
  • Evolution of AI Subscription Models

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Extracto de la transcripción

Trillions of dollars are being poured into  AI chips, models, and gigantic data centers. And every few months, some new model arrives,  promising either superior reasoning or improved coding. But if AI actually is getting smarter and  more capable, then why are so many complaining about AI getting worse? Users are reporting  weirder mistakes, answers becoming more cautious, subscriptions getting confusing, and limits that  are more restrictive with less predictable tools. So, what the hell is going on here? Well,  in this video, we'll explain how AI can keep getting smarter while the experience surrounding  it gets noticeably worse, and why the technology we're all becoming increasingly dependent upon is  becoming less and less ours. My name is Lewis and you're watching the Coin Bureau. To understand  why AI feels different today, we need to go back to the beginning. Not the beginning of…