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Game theory of academic effort and hiring in the age of AI

Paper recorded by Signals 4 on 2026-10-26 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.AI · 人工智能 · first seen 2026-10-27

Abstract

Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capable artificial intelligence (AI). Before AI, a well-written research paper with a strong theoretical result acted as a reliable signal that its authors understood their field in depth. Now that AI is widely accessible, such signal

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#150 most recent of 960 cs.AI papers we have recorded · ↑ newer: Learning When to Commit: Schedule Distillation for Fast Diffusion Lang · ↓ older: A Unified Arena for LLM Agents across Diverse Eurogame

Cite this page: Game theory of academic effort and hiring in the age of AI: the #150 most recent of 960 cs.AI papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/game-theory-of-academic-effort-and-hiring-in-the-age-of-ai.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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