Data is Beautiful

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A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

  A post must be (or contain) a qualifying data visualization.

  Directly link to the original source article of the visualization
    Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
    If you made the visualization yourself, tag it as [OC]

  [OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.

  DO NOT claim "[OC]" for diagrams that are not yours.

  All diagrams must have at least one computer generated element.

  No reposts of popular posts within 1 month.

  Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.

  Posts involving American Politics, or contentious topics in American media, are permissible only on Thursdays (ET).

  Posts involving Personal Data are permissible only on Mondays (ET).

Please read through our FAQ if you are new to posting on DataIsBeautiful. Commenting Rules

Don't be intentionally rude, ever.

Comments should be constructive and related to the visual presented. Special attention is given to root-level comments.

Short comments and low effort replies are automatically removed.

Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.

Personal attacks and rabble-rousing will be removed.

Moderators reserve discretion when issuing bans for inappropriate comments. Bans are also subject to you forfeiting all of your comments in this community.

Originally r/DataisBeautiful

founded 2 years ago

MODERATORS

WandererLagomorph770

STRIKINGdebate2

the_ocs

144

Global Al water use by 2027 is predicted to be 4.2-6.6bn cubic metres, equivalent to half of UK's total annual water consumption (lemmy.world)

submitted 3 weeks ago by nimomycelium to c/dataisbeautiful

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[–] [email protected] 24 points 3 weeks ago* (last edited 3 weeks ago) (2 children)

Blockchain currencies and now 'AI' (glorified pattern matchers)... I wonder what the next huge energy/resource sink grift will be? I want to know so I can get in early, make a zillion and dump before everyone realizes how stupid and wasteful it all was.

What pisses me off is that LLMs are such a brute-force 'solution' that goes against one of the major goals of Computer Science -- to find algorithms that take less time and energy, instead of just throwing more compute cycles at things.

Hell, blockchain at least had a mathematical justification for why it needed such huge compute/power resources (proof of work).

[–] lukstru 6 points 3 weeks ago (1 children)

I agree that LLMs being used as they are is a major waste. However, I don't think it goes against any goals of CS. Computer Science has traditionally followed this pattern: discover a solution that works, enhance it, and then repeat the process as needed. Transformers are the newest best solution for some NLP tasks, and a hype was created. We'll be back to the enhance phase shortly. Hopefully with a little less overhype and more consideration this time.

[–] hoshikarakitaridia 4 points 3 weeks ago

Totally agree with this take.

The hype has been there everytime we discovered something big. Only this time the hype overshadows the discovery a bit. Doesn't mean we shouldn't expect our scientific progress to revert back to this known pattern again.