The hottest Substack posts of Notices to three friends

And their main takeaways
1 implied HN point 14 Dec 23
  1. Classifiers in AI can identify objects based on superficial, correlated properties, rather than intrinsic characteristics.
  2. Machine learning methods are effective at finding these properties because they operate in a vast space of properties and can test them statistically.
  3. Humans differ from AI models in our ability to go beyond superficial correlations and strive to discover the truth by discarding existing categories.
1 implied HN point 01 Dec 23
  1. The halting problem in computer science cannot be solved because of the limitations of predicting a program's behavior.
  2. Prophecy and prediction face conceptual limitations due to the inability to fully control or predict the future.
  3. The connection between the halting problem and prophecy reveals insights about self-understanding, unpredictability, and the quest for knowledge.
1 implied HN point 24 Feb 21
  1. The post is a welcome message from Matjaz Leonardis
  2. The post was shared on February 24, 2021
  3. There are options to share the post on Facebook, via email, or through other means