10 Matching Annotations
  1. May 2026
    1. In practical terms, in the age of AI and robotics, ensuring that the economy favors human dignity means adopting certain criteria for firm action. First, transparency and accountability: when data and algorithms influence credit distribution, personnel selection or access to services and opportunities, it is necessary that decisions be understandable, contestable and subject to oversight, so that individuals are not reduced to mere profiles. Second, inclusion and access: the benefits of innovation must be paired with investments in skills, infrastructure and essential services to ensure that technology does not widen the gap between those who have and those who have not. Finally, measures to ensure equity: taxation, social protection and industrial policies must correct the imbalances created by the concentration of wealth and power. Indeed, these criteria do not constitute a curb on innovation; instead they make it civilized and humane.

      Suggests regulation along the lines of algorithmic/data transparency & accountability, investing the profits of innovation in education and essential services, and laws and policies which check the concentration of wealth and power.

  2. Apr 2026
    1. In 23 months, the same capability that needed 1.8 trillion parameters now fits in 4 billion parameters. A 450x compression.

      大多数人认为AI模型性能提升主要依靠参数数量增加,但作者认为通过算法优化和人才聚集,AI模型可以实现450倍的参数压缩,这挑战了'更大参数等于更好性能'的行业共识。

  3. Dec 2025
    1. That is a situation we are now living through, and it is no coincidence that the democratic conversation is breaking down all over the world because the algorithms are hijacking it. We have the most sophisticated information technology in history and we are losing the ability to talk with each other to hold a reasoned conversation.

      for - progress trap - social media - misinformation - AI algorithms hijacking and pretending to be human

  4. Jun 2024
  5. Mar 2021
  6. Feb 2021
  7. Sep 2020
  8. Apr 2020
  9. Feb 2019
    1. Algorithms will privilege some forms of ‘knowing’ over others, and the person writing that algorithm is going to get to decide what it means to know… not precisely, like in the former example, but through their values. If they value knowledge that is popular, then knowledge slowly drifts towards knowledge that is popular.

      I'm so glad I read Dave's post after having just read Rob Horning's great post, "The Sea Was Not a Mask", also addressing algorithms and YouTube.