this post was submitted on 29 Jan 2024
41 points (100.0% liked)

SneerClub

989 readers
11 users here now

Hurling ordure at the TREACLES, especially those closely related to LessWrong.

AI-Industrial-Complex grift is fine as long as it sufficiently relates to the AI doom from the TREACLES. (Though TechTakes may be more suitable.)

This is sneer club, not debate club. Unless it's amusing debate.

[Especially don't debate the race scientists, if any sneak in - we ban and delete them as unsuitable for the server.]

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
41
EAs shocked to discover how billionaires make their money (forum.effectivealtruism.org)
submitted 10 months ago by [email protected] to c/[email protected]
25 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 20 points 10 months ago (2 children)

Shot, in the post:

Gina and I eventually decided that the data collection process was too time-consuming, and we stopped partway through.

Chaser, from the comments:

Josh You and I wrote a python script that searches Google for a list of keywords, saves the text of the web pages in the search results, and shows them to GPT and asks it questions about them from a prompt. This would quickly automate the rest of your data collection

[–] [email protected] 5 points 9 months ago* (last edited 9 months ago)

the data collection process was too time-consuming

Just to show how time-consuming this process might have been, it consisted of two people doing google searches and assigning the names them to a handful of categories.

1 - I copied the list of signatories from their website. 2 -Gina Stuessy and I searched the internet for “(name) lawsuit”, “(name) crime” and also looked at their Wikipedia page. 3 -I categorized any results into “financial”, “sexual”, and “other”, and also marked if they had spent at least one day in jail. 4 -Gina and I eventually decided that the data collection process was too time-consuming, and we stopped partway through. The final dataset includes 115 of the 232 signatories.[2][3]