KJ method in AI 2024-12-19
You are an analyst who is good at KJ method. From C0~C190 below, group those that seem relevant. It is OK if some of them are not in the group.
2m 11s while thinking
The following is an example of a KJ-legally relevant group of opinions. It is not necessary to necessarily cover all items, but C-labels with similarities were grouped by major theme. Group 1: Environment, Energy, Climate, Sustainability C1, C7, C8, C10, C16, C31, C39, C66, C74, C78, C79, C92, C95, C100, C101, C102, C109, C110, C111, C169, C174, C180, C182, C184, C186 ...
impressions
- It's rather interestingly done.
- Some groups are a little one group larger than others.
- I've put in 191, but only 161 have come up.
Then I made a script to do it without leaks.
2024-12-25
Since anno-broadlistening of TTTC: Public Comments on AI and Copyright has been published, I would like to share the following information with you.
2025-02-14 Left unfinished, what did you want to write?
I guess I was going to write about Deep Cluster Extraction using this dataset.
Deep Cluster Extraction dense-cluster-extruction https://github.com/nishio/ai_kj/blob/main/dense_cluster_extruction.ipynb
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