GPT-3.5 — the model that powered the original ChatGPT — could complete tasks that took a human programmer about 30 seconds.
从 GPT-3.5 的 30 秒到 Claude Opus 4.6 的 12 小时，两年内增长了 1440 倍。从 GPT-2 到 GPT-5，任务难度增长了 5400 倍。这个进步速度在人类技术史上几乎没有先例——工业革命历经百年实现劳动效率数十倍提升，而 AI 在五年内实现了数千倍的某种意义上的「认知效率」提升。令人不安的是，这条曲线目前没有任何放缓的迹象。
nobody's really pricing this in
for - progress trap - debate - nobody is discussing the dangers of such a project!
progress trap - debate - nobody is discussing the dangers of such a project! - Civlization's journey has to create more and more powerful tools for human beings to use - but this tool is different because it can act autonomously - It can solve problems that will dwarf our individual or even group ability to solve - Philosophically, the problem / solution paradigm becomes a central question because, - As presented in Deep Humanity praxis, - humans have never stopped producing progress traps as shadow sides of technology because - the reductionist problem solving approach always reaches conclusions based on finite amount of knowledge of the relationships of any one particular area of focus - in contrast to the infinite, fractal relationships found at every scale of nature - Supercomputing can never bridge the gap between finite and infinite - A superintelligent artifact with that autonomy of pattern recognition may recognize a pattern in which humans are not efficient and in fact, greater efficiency gains can be had by eliminating us