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  "path": "/news/2026-05-simple-physics-ai.html",
  "publishedAt": "2026-05-05T00:00:01.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Computer Sciences"
  ],
  "textContent": "Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a \"black box.\" To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.",
  "title": "A simple physics-inspired model sheds light on how AI learns"
}