This is so fascinating! Thank you for sharing

I came across this for those who are interested in reading more:

https://www.khanacademy.org/humanities/becoming-modern/romanticism/romanticism-in-france/a/gericault-portraits-of-the-insane

I have a friend who, going by your comments and posts, was in a very similar situation as you including living with ADHD and autism.

Most comments here are saying "yes but it depends how you mesh." I'd just say if you focus on someone specializes in or has worked more with folks with ADHD and autism, that will probably help make your selection and evaluation process easier.

Even if you don't see it listed on their online profiles, you can ask about that in your initial outreach. I think that will help you make the process more effective.

But I do think that, like with other help topics, if you're willing to put in the work, having that resource can be very impactful.

Ambidextrous bi with a Pearl pfp?

I feel like I know you already 😏

I was recently revisiting some Billy Joel. He really was a great folk storyteller.

Like, Allentown tells a history so succinctly but authentically. It really is a skill he honed.

The vibes do be powerful

TL;DR the particular issue called out in the article is that Threads imports data from IG.

Meta is in dialogue with EU regulators as whether this would be seen as one social media platform sharing with another. Until Meta gets more guidance on this and any other possible issues, they are holding off launchin in the EU.

Love this! You should post in one of the Analog magazines too! We're building up content there

For the other people like me that hadn't seen solipsistic before, it means very egocentric in this context.

It's referring to the philosophy that the self is all that can be known to exist.

I won't downvote bc I think this is a genuine question OP is presenting, but I disagree with people splitting quite yet.

People will naturally find their pockets as the Fediverse grows. The benefit is that it's already decentralized, so you have that option.

I suspect the quality LLM development teams will pursue the same in-depth data sourcing & cleaning techniques that quality ML researchers are developing today. Or rather, they'll do something similar in principle to mitigate this issue.

I still agree with your conclusions. It will be a bigger consideration and less scrupulous teams will be more effected.