Frater Profile picture
13 Jan, 10 tweets, 1 min read
Having lived through the mainstreaming of tech, lemme tell you that some of you are really not ready for what magic becoming mainstream will feel like. Bad TikTok takes are just the beginning.
The loudest voices will be influencers and brands who know the least and/or simplify the most.
Experts will be seen as rude or unapproachable because they expect the person asking questions to do a modicum of work to ask a question worth answering.
Tweet threads and IG stories will be referenced more than any grimoire.
Millions of grifting companies will appear selling absolute nonsense, some will be insanely successful be ready for the frustrating feeling that’ll induce.
There will be some Yelp equivalent rating practitioners by crowd sourced voting. Folks will treat that rating as gospel despite all the problems inherent in systems like that.
There will be a gig economy company for hiring astrologers and such. It’ll be horrible but folks will use it anyway because speed and ease of use always win for the larger populace.
I can think so many more examples but you get the idea.
“Just sigil it” will be on a damn t shirt.
Mainstreaming is great for not getting burned at the stake, but in return you are gonna have a lot of moments where you are going to wanna pull your hair out. Don’t do that, just breath, find your community of like minded folks and let the masses do what the masses do...

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Frater

Frater Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @FraterViator

14 Jan
This seems just as bad as the time a private prison asked the ML startup I was at to make an algorithm to guess if someone would be a repeat offender. We declined of course.
There is nothing that the algorithm can detect to determine your behavior all it does is weighted pattern recognition against the database (read: folder full of images). Insane that they made this and dared to publish it. It is fundamentally dishonest to imply this works.
This would been laughed outta the room a few years ago. That Nature agreed to publish this is a pretty damning sign of where our academic discourse is at.
Read 6 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!