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Who manages the agents?

Don't Go Quietly Into the AI Night

off-policy.com

July 11, 2026

13 min read

🔥🔥🔥🔥🔥

46/100

Summary

Two visions for the future of AI are emerging: one where a small group controls AI as a deity, and another where humans are at the center with AI serving as an amplifier. Dario Amodei warns that AI could potentially eliminate half of entry-level white-collar jobs.

Key Takeaways

  • Two contrasting visions for the future of AI are emerging: one where a small group controls AI as a deity, and another where humans actively direct AI as an amplifier of their capabilities.
  • Dario Amodei predicts that AI could eliminate half of entry-level white-collar jobs within five years, while Sam Altman states that customer support jobs will be completely automated by July 2025.
  • The development of advanced AI systems is increasingly controlled by a small technical elite, limiting broader public participation in decision-making regarding AI's use and capabilities.
  • Significant advancements in AI are being made, such as the resolution of century-old mathematical problems and the discovery of long-undetected software vulnerabilities, but access to these breakthroughs may be restricted due to safety and ethical concerns.
Read original article

Community Sentiment

Mixed

Positives

  • Managing fleets of AI agents has become a powerful reality, with less coding and more strategic planning, which some see as a game-changer for tech teams.
  • The potential for LLMs to enhance everyday tasks, like organizing grocery lists, is within reach — people are optimistic about practical applications emerging soon.

Concerns

  • Doomsday predictions about AI replacing humans are fueled by the rapid pace of development, leaving society scrambling to keep up with new job realities.
  • Many commenters express frustration over AI's unreliability, especially in tasks like voice recognition, where basic functions still fail despite the hype.
  • The disconnect between AI's enthusiast vision and its actual capabilities raises skepticism about the future impact of AI systems in real-world applications.

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