The most famous chart in AI might be obsolete soon.
副标题本身就是一个令人震惊的声明:最著名的 AI 进展图表即将过时——不是因为 AI 停止进步,而恰恰是因为进步太快。这创造了一个奇异的悖论:评测工具的失效速度与被评测对象的进步速度正相关。我们对 AI 能力的理解,正在以比 AI 自身进步更慢的速度迭代——「评测滞后」将成为未来数年 AI 治理和决策的核心挑战。
The most famous chart in AI might be obsolete soon.
副标题本身就是一个令人震惊的声明:最著名的 AI 进展图表即将过时——不是因为 AI 停止进步,而恰恰是因为进步太快。这创造了一个奇异的悖论:评测工具的失效速度与被评测对象的进步速度正相关。我们对 AI 能力的理解,正在以比 AI 自身进步更慢的速度迭代——「评测滞后」将成为未来数年 AI 治理和决策的核心挑战。
there still seems to be a little bit of Gap in data that doesn't account for 0.2 de celsus warming that is present extra scientists have not been able to comfortably explain over the past in fact several years why there is this little bit of extra global warming it is a major major Gap
for - stats - climate crisis - global mean temperature gap in models vs measurement of - 0.2 Deg C - from The Print - YouTube - Low clouds disappearing over earth, rapidly acceleration heating - 2024, Dec