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The Costs of AI Acceleration

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A student describes how integrating AI agents into their workflow drastically improved academic performance by reducing the time required for tasks like summarizing lectures. This efficiency has led to a significant reduction in social collaboration, as working with non-technical peers became a bottleneck compared to the speed of AI assistance. The increased engagement and ease of tool development have resulted in a compulsive work habit that disrupts sleep and replaces traditional social interactions with solitary optimization.

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Original publisherThanos Apollo
Canonical URLhttps://thanosapollo.org/posts/costs-of-ai-acceleration/
Publication timeFri, 11 Sep 2026 21:21:29 +0000
Retrieval time2026-09-11T21:23:35.406Z
Last seen2026-09-11T21:23:35.406Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Home » PostsThe Costs of AI Acceleration2026/09/11Table of ContentsWhat changed in my studyingThe social costWhy I find it hard to stopFreedom and dependence on computeMy recent posts about AI have been optimistic. I still mean them. After spending the past couple of months rebuilding my workflow around agents, I hardly interact with the colleagues I used to study with, and working has become so rewarding that I find it hard to stop. Neither has made me want my old workflow back.What changed in my studying#I’ve recently switched to Omarchy for the built-in agent integration and moved much of the “computer” out of my way. I spend less time coding by hand and more time studying with gnosis, while working with my agent to improve the tools around it.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Thanos Apollo.

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