{
  "id": 5187201,
  "title": "How to Solve AI Data Center Problems",
  "url": "https://urgent.news/2026/09/02/how-to-solve-ai-data-center-problems",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T21:33:35.000Z",
  "source": {
    "name": "HackerNoon",
    "slug": "hackernoon",
    "url": "https://hackernoon.com/how-to-solve-ai-data-center-problems?source=rss"
  },
  "original_language": "en",
  "account": "The discussion about AI data center problems took a surprising turn when a friend mentioned Rolf Landauer, a physicist who discovered that information has physical weight. According to his theory, weighing a hard drive after storing data on it would show it is heavier than when it was empty. This led to a hypothetical calculation that if data growth continued at an annual rate of 25%, the mass represented by stored data could eventually be comparable to the Moon's mass, in about 340 years.\n\nThe conversation then shifted to the idea that rather than relying on more data centers, we could use humans as computing resources. This notion drew parallels to the concept of The Matrix, where machines utilize human brains as batteries. While there is no clear evidence that this was the original idea in The Matrix, a similar concept was explored in Dan Simmons' Hyperion Cantos, where artificial intelligences used human brains as neural networks for an Ultimate Intelligence project.\n\nThe speaker suggested that instead of building more data centers, we should explore the possibility of using humans as computing resources. This idea has some practical advantages. Unlike data centers that require vast amounts of electricity, cooling, land, and maintenance, the human brain is energy efficient, processes multiple functions, and can replicate itself. The sender pointed out that nature already built a general-purpose computer, which is far more energy-efficient than current AI infrastructure.",
  "summary": "Could human brains solve AI's growing data center and energy problem? A wild look at AI, The Matrix, and biological computing.",
  "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."
}