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Mauve 👁💜 boosted
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myrmepropagandist

@Gurre

OMG it's smaller than an amoeba!

I'm screaming!!

They lay their eggs inside of the eggs of 1-2mm long crop pests.

And... read the article to see what the males are like... they are even smaller somehow, but it's ... disturbing.

blogs.dal.ca/openthink/a-tiny-

Photo by Alexey Polilov, 2012

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Mauve 👁💜

@jonny I was playing multiplayer stardew valley with my partners and I couldn't stop thinking about how they must have had to refactor to a client server model and how that would explain certain bugs. I think I wanted to read the source code more than I've felt hunger or other human urges in ages.

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Mauve 👁💜 boosted
Conny Duck

Finding a new job is not going to be easy, after six years of corporate bullshit I just can't anymore. If you need a very experienced Kotlin/Android dev, but don't do any AI/Blockchain/Tracking/Ad stuff let me know.

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Mauve 👁💜

Rest is fun but I'm high key getting the urge to code. >:)

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Mauve 👁💜

Usually this time of year I'd be alone since everyone would be off doing family stuff. This year I get to spend it with two of my partners and also get to take a whole week off work. The contrast feels almost decadent. 😅

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Mauve 👁💜

@auzzy @Hotchka Wonderful, ty!

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Mauve 👁💜

Anyone know of folks to follow for info about or in general? I wanna go outbto see stuff more often but I basically never see ads anymore.

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Mauve 👁💜 boosted
mom says it's my turn on the gender

infosec best practice in 2023: do not use or install any software

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Mauve 👁💜 boosted
jonny (good kind)

Looking at my own default algorithmic feed, I see 50% posts about nikki haley, 25% hot takes about electoral politics, and then ~10% of high follow accounts posting whatever, ~10% (delightful) shitposts. It's hard for me to summarize my fedi feed because every post is about a wildly different thing, there are definitely clusters from someone boosting a lot of things rapidfire, but yeah very much a mix. It used to be true that most of the fedi just talked about computers or (delightful) indecipherable trans stuff, but that has definitely changed.

I do think there is something missed by not having 'my friends see similar things to me and so we have a shared information diet' but i do not think that making it so everyone sees the same thing is the answer to that.

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Mauve 👁💜

@GayDeceiver Third one is very cool. Gets into family dynamics and this time Branch learns how to connect to his feelinvs and be vulnerable with Poppy 🥰

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Mauve 👁💜

@GayDeceiver Which one are you on? I just marathoned all the movies and holiday specials today :P First holiday special id the best IMO

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Mauve 👁💜 boosted
Jack Daniel (often offline)

The more you know, the more you wish you didn't.

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Mauve 👁💜 boosted
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jonny (good kind)

Checking in on whether #bluesky / #atproto has become any more like a communication medium, and... nope. almost unchanged since i looked at it last in June. Bluesky is a spectator platform where a small number of accounts receive most of the visibility and smaller accounts are effectively invisible. The introduction of new feed algorithms (to the degree that happened, there aren't really many that I can find in wide use) did not change that. This is a non-normative analysis: in some cases, it is good to have a medium that promotes some very small number of posts and accounts, eg. to surface singular events, etc.

From a 25h sample of the firehose...
- 600k posts, 2.4m likes, 250k boosts, 350k follows
- 40% of posts receive 0 likes, 70% receive <= 1
- accounts in the 99th percentile of likes received 44% of likes, accounts in the 95th percentile received 74%
- 40% of posts were from accounts within the top 95th percentile of accounts by likes received.
- the maximum number of likes for a post by an account not in the top 95% is 32.

The first plot below shows the cumulative sum of likes received on the y axis against each account in the sample on the x axis - this includes accounts that didnt' post during the sample (but would still have posts that could be liked, so this also shows the extreme recency bias). The second plot is a hockeystick showing the number of likes (*not* cumulative sum) received on the y axis per post on the x axis.

For background, the default algorithm only cares about likes, boosts don't matter, which is why i am calculating things by likes here - they are the primary algorithmic signal.

These are the same calculations that I did back in June, but this time i'm leaving the firehose open to do a longer sample to be able to parse momentary virality from persistent effects.

edit: more on "where is the fedi comparison" and "why is it like this" neuromatch.social/@jonny/11166

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Mauve 👁💜

Haven't booted my pooter since Sunday. Feels good to mostly be in human mode hanging with my partners and cats. 🥰 Also finally covid free (for now?)

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Mauve 👁💜 boosted
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Rae

Do you know anyone looking for a job that wants to travel and problem solve? Looking for someone with a software dev background who is ready to do more people facing work. This is not a full time coding job, more like 30% coding 70% whiteboarding, teaching, debugging, pair programming.

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Mauve 👁💜

@jonny I liked reading them chronologically since you get the most out of the lore and references that way.

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Mauve 👁💜

@jonny They're fun, i'd recommend them

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Mauve 👁💜

Wallace and Gromit are in a queer platonic relationship

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Mauve 👁💜

@technicolourPenguin Yeah I do like how I can "catch up" on my feed. Maybe the randomization should be done once daily with a limit on how many posts should be in it

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Mauve 👁💜

Happy crimbo to those that celebrate.

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