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THE VIDEO SHELF · open-endedness

Why Greatness Cannot Be Planned — Kenneth Stanley

A long Machine Learning Street Talk interview with Kenneth Stanley, creator of NEAT and novelty search, about his book on why greatness cannot be planned. They discuss open-endedness, the tyranny of objectives, serendipity and the evolution of ideas.

Why HN readers recommended it

Recommended to people who find it inspiring or perspective-changing on pursuing goals, open-ended search and AI beyond optimization.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Machine Learning Street Talk
Topic
open-endedness
Format
interview
Level
intermediate
HN recommenders in dataset
4
HN mentions in dataset
9
Recommendation years in dataset
2021–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • I think it's mainly a competitive & cooperative self replicator. The brain exists because previous generations did well. Do we need to infuse "antenna magic" into our brains, aren't they marvelous enough? I found this video about open endedness (contrasting evolution vs optimization) in the …

    visarga on Hacker News · 2021-02
    In Ask HN: Is the Brain a Computer or an Antenna?
  • > The signal might be good but is it the signal you should be focusing on? There is an amazing amount of interesting stuff being discovered all the time. But is it helping you achieve concrete goals? My point is that putting everything through the …

    ZephyrBlu on Hacker News · 2021-05
    In NNCP: Lossless Data Compression with Neural Networks (2019)
  • > Anyways, my point is, none of this required math or genius or particularly demanding thought. It was basically let's tinker with this until we find a way that's better, using guess and check. No equations needed. I get that you'd like to have a …

    visarga on Hacker News · 2021-02
    In DeepMind achieves SOTA image recognition with 8.7x faster training

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.