計算的物理極限蘊藏著人工智慧的未來秘密
物理學家理查德·費曼在1959年探討了計算的物理極限，如今研究人員正在重新審視這些極限，以應對人工智慧對計算能力的需求。
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.