Game Making Toolts @gamemakingtools@gamemaking.social

reverse Monster Hunter where we play as monsters and we attack hunters to protect the environment.

instead of getting better weapons from their skin, we get an improved ecosystem (more animals&plants&clear water etc.) and that makes us stronger. that's the grind, instead of bigger armour you watch your forest flourish more and more. this also attracts worse hunters, creating the difficulty curve.

Was catching up on new posts on the Lexaloffle #Pico8 forums and stumbled over a link someone posted to a talk by Zep (Joseph White) about what PICO-8 is, how it came to be, why it is the way it is, and so on https://www.youtube.com/watch?v=87jfTIWosBw

I kind of knew the story from PICO-8 Zine #1 - https://sectordub.itch.io/pico-8-fanzine-1 - but I'm liking hearing the story retold in a different medium with different details.

The Shape of Space (1995)
https://youtu.be/-gLNlC_hQ3M

A speculative video framing the universe as potentially torus shaped or multi-mobius strip based, from the creator of Outside In

#oldskool3d

I'm gonna try to post every old skool 3D animation that I like or think is interesting in a lil tag, #oldskool3d as I go along rewatching a bunch of this stuff

Last time I post about this so as not to continually spam my instance but just want to give it one more chance on the federated timeline.

We're starting a writers group for people to motivate and critique each others work, loosely organised around meeting every couple of weeks and chatting between times. Any type of writing and any experience welcome. DM me and I can give you links!

⚠️ The Fediverse has been scraped, again ⚠️

Almost six million posts from 363 instances have been scraped.

"All the posts with public visibility published by users hosted on Mastodon servers [...] which support the English language" have been scraped along with their metadata, and the "policy, the code of conduct and the prohibited contents of each instance".

The dataset is an attempt at creating an open dataset for "research" into algorithms like the ones Facebook uses to identify problematic content, based around users' use of Content Warnings.

The dataset can be found here:
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/R1HKVS

It was created by the University of Milan, Italy, apparently for the 13th AAAI:
https://aaai.org/

The associated publishing:
https://aaai.org/ojs/index.php/ICWSM/article/download/3262/3130/ or https://likeable.space/media/30ae595a191923a1ce84a1e0feac6a3cef5b8669f44e15535ea18c7a5594b93a.pdf?name=Mastodon%20Content%20Warnings%3A%20Inappropriate%20Contents%20in%20a%20Microblogging%20Platform.pdf or DM me for a copy.

Related dataset:
https://dataverse.mpi-sws.org/dataset.xhtml?persistentId=doi:10.5072/FK2/AMYZGS

Original post:
https://likeable.space/objects/98fe7449-1776-4343-818d-aaff710a867b @tastytea

#FediAdmin #MastoAdmin #MastoDev #Privacy #OpSec #Warning #Fediverse #Mastodon #Scraping

I personally like that people are open-sourcing messy code. that's what a lot of real, practical code looks like. "good code" is an American-dream-like illusion that is used to sell textbooks.