14 Matching Annotations
  1. May 2026
    1. I now believe we are living in the time that AI research will be end-to-end automated. If that happens, we will cross a Rubicon into a nearly-impossible-to-forecast future.

      Clark坚信我们正处于AI研究将被端到端自动化的时代,这将带来难以预测的未来,这是一个相当非共识的观点。

    1. If AI substantially reduces the centrality of paid work in human life, what conditions will allow people to reallocate their time and effort toward other sources of meaning, and what can we learn from historical or contemporary populations where work has been scarce or optional?

      大多数人认为工作是人类身份和意义的核心,但作者质疑这一基本假设,暗示AI可能使工作变得非必要,这挑战了现代社会对工作的核心价值认知。作者暗示我们需要重新思考人类在没有工作的情况下如何找到意义,这与主流经济和社会观念相悖。

  2. Apr 2026
    1. 从视频生成器升级为导演工具套件

      这一转变提出了一个值得思考的问题:当AI工具开始模拟人类导演的工作流程时,创作者的角色将如何演变?是AI成为导演的助手,还是创作者成为AI的'导演'?这种关系重塑将深刻影响创意产业的未来格局。

  3. Aug 2021
  4. Mar 2021
  5. Sep 2020
  6. Aug 2020
  7. Jun 2020
  8. May 2020
  9. Nov 2018
    1. Beyond the Frame: The New Classroom

      In this video a discussion of how the school system is broken but cost billions of dollars. 9 billion dollars a year is spent of textbooks that become outdated the minute they are printed according to the author.

      With the new generation of learners, virtual reality will be embracing how most learners learn the best by visual means and not by reading.

      This video short impactfully presents how VR will change the face of education.

      RATING: 5/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)