计算的物理极限蕴藏着人工智能的未来秘密
物理学家理查德·费曼在1959年探讨了计算的物理极限，如今研究人员正在重新审视这些极限，以应对人工智能对计算能力的需求。
in 1959, physicist richard feynman gave a lecture on the potential for manipulating matter at an extremely small scale, noting that physical laws permit vast data storage in tiny spaces. as computing advances stall and ai demands more power, researchers are revisiting these fundamental physical limits. six hyperscalers are set to spend over $700 billion this year on computing infrastructure, but this brute-force approach may not yield desired performance gains. exploring physical limits could lead to new tech developments and deeper understanding of physical laws, potentially impacting future ai infrastructure and progress.