{
  "id": 15005785,
  "title": "The Decoherence Trap: When AI slop drowns out the signal in an endless sea of noise",
  "url": "https://urgent.news/2026/10/16/the-decoherence-trap-when-ai-slop-drowns-out-the-signal-in-an-endless",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T16:36:29.000Z",
  "source": {
    "name": "Lobsters",
    "slug": "lobsters",
    "url": "https://maevyn.codes/decoherence"
  },
  "original_language": "en",
  "account": "The essay introduces the idea of \"decoherence,\" a phenomenon where a system accumulates multiple valid but incompatible models, making it difficult to change and causing unintended side-effects. Decoherence grows with the rate of change in a system and increases exponentially as the system becomes more decoherent. Humans have historically dealt with decoherence by integrating disparate patterns and models into a cohesive whole, but the rapid advancement of AI is causing it to spiral out of control.\n\nWhile runaway recursive self-improvement of AI is ruled out by decoherence, a different kind of disaster called \"Decoherence Collapse\" looms. To understand decoherence, the author uses the Ship of Theseus thought experiment as a metaphor. Just as it's unclear how to incrementally transform a wooden ship into a steel one while maintaining functionality, it's uncertain whether we know how to bridge the gap between different technological iterations. The challenge lies in the fact that there may not be a clear path to achieve this transition, and the intermediate stages might not be suitable for modern use.\n\nThe same principle applies to plumbing systems. When individual pipes break, they are replaced individually, with detailed notes left behind for future repairs. However, when replacing pipes gradually, the resulting patched system becomes increasingly complex and hard to understand. This complexity is amplified when trying to make changes to a decoherent system, as it requires a deep understanding of how the various components interact and how their modification could lead to unforeseen consequences.\n\nWhile it is best to approach changes to decoherent systems with caution and thorough analysis, the lack of understanding surrounding the depth of the problem can lead to frustration among those outside the system.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}