Like, yeah, fighting against AI may not seem as important as fighting against violent racism and trans eliminationism. I get it.
But also, it's the *same people pushing all of it*. It is as important because *it's a different part of the same fight*.
Giving up on AI means ceding ground to fascists, ground that they will absolutely fucking use on every other goddamned front. I'm not about to do that.
Did you know there was a genderless preacher in the 1700s known as the Public Universal Friend?
The US #government deleted the Friend's Home and other #lgbtqia places from their records. We brought them back because friendship & love are ALWAYS in style! ✨ ❤️
https://nationalprideservice.org/lgbtq-places-the-government-doesnt-want-you-to-know-about/
Remember, you are not alone.
You are not isolated.
We are in this together.
And together, we are much stronger.
⚠️ ALL IS NOT LOST ⚠️
The news cycle is tremendously disheartening. Wildfires, the spread of climate disinformation in real time, genocides, the rise of the far right, removing fact checking and supports that protect vulnerable communities - it’s heavy.
We have a formidable amount of obstacles in our way.
But don’t lose sight of the fact that it isn’t too late.
Every fraction of action matters - and it’s not over yet.
Modern-Day Oracles or Bullshit Machines?
Jevin West and I have spent the last eight months developing the course on large language models (LLMs) that we think every college freshman needs to take.
https://thebullshitmachines.com
This is not a computer science course.
It’s a humanities course about how to learn and work and thrive in an AI world.
Neither instructor nor students need a technical background. Our instructor guide provides a choice of activities for each lesson that will easily fill an hour-long class.
The entire course is available freely online. Our 18 online lessons each take 5-10 minutes; each illuminates one core principle. They are suitable for self-study, but have been tailored for teaching in a flipped classroom.
The course is a sequel of sorts to our course (and book) Calling Bullshit. We hope that like its predecessor, it will be widely adopted worldwide.
Large language models are both powerful tools, and mindless—even dangerous—bullshit machines. We want students to explore how to resolve this dialectic.