AFAIK, they are used as relays.

From https://en.wikipedia.org/wiki/1-bit_computing#1-bit

Computers and microcomputers may also be used, but they tend to overcomplicate the task and often require highly trained personnel to develop and maintain the system. A simpler device, designed to operate on inputs and outputs one-at-a-time and configured to resemble a relay system, was introduced. These devices became known to the controls industry as programmable logic controllers (PLC).

See also the playlist linked in the other comment with more explanations:
1-Bit Breadboard Computer - Usagi Electric (YouTube)

For those curious about 1-bit computers, see Usagi Electric’s playlist:

• 1-Bit Breadboard Computer - Usagi Electric (YouTube)

Source: Help – The Jenkins

RSS Feed: https://thejenkinscomic.wordpress.com/feed/

Source: Accountability - Work Chronicles

RSS Feed: https://workchronicles.com/feed/

Image with uncropped credit on bottom

!fairphone@lemmy.ml

Credit: u/JG_Online and u/UltraWorlds. This is the comment on the original post from reddit:

Languages are categorized by linguistic families by colours.

So Spanish and Portugese (both being Romance) are redish shades, similarly other linguistic groups share similar shades indicating these are closely related languages. (this scheme breaks down quite a bit with so many languages but generally it checks out here, if you have some linguistic background)

The map does not include labels as to no obscure the detail we put into it, so I guess this map is mainly for ppl who already have some linguistic landscape knowledge.

Area’s which have between 30 to 70% majority are shown as striped.

Area’s with a population density below 1p/km2 are shown as sparsely populated. This does not mean no one lives there but rather that a single immigrant family can add Korean to the Sahara desert, which is not what this map is about.

Languages with less than 20,000 speakers in a populated area are not shown. (This mainly to exclude the native american languages that are overwhelmingly outpopulated in states such as NY or CA)

Linguistic Isolates are shown in various grey shades.

The friend who helped me with this map is u/UltraWorlds

Yep, that’s why I added the twitter source too.

Source: https://www.commitstrip.com/2015/04/27/the-eye-opener-commit/

Also on twitter:

• Twitter @CommitStrip
• Nitter link
• Nitter RSS Feed: https://nitter.cz/CommitStrip/rss

how tumblr works in terms of discovery

I really like Tumblr (mainly because RSS support), but I find their search VERY limited. Maybe I’m being stupid, but I haven’t been able to search for 2 tags at the same time (e.g.: “#artists on tumblr” and some genre “#pixelart”).

In general I find very difficult to filter repost and look for original content only.

Do you have any tips?

FYI: It’s from 2014 (see bottom left)