Think I may have partially answered my own question, if anyone else is looking: github.com/bluesky-soci...

*forgot to mention, asking mostly because I’d love to see what’s gone into it as well. It does sound like a very interesting and possibly great idea along the lines of things I’ve personally been toying with…

Is there documentation on this? Potentially powerful signals of healthy discourse is transparency during the process of creating it and minority community input and feedback during the early stages.

*Experts in Trust and Safety and moderation also do not have the complete appropriate skill sets. They have a small window that’s “seen some stuff”.

Jay, I very much appreciate your position here. I’m speaking as a socio-tech expert *and* system architect. “Architects at core” cannot design a healthy discourse system without one or more social scientists with specific knowledge areas.

I’m available to chat. Please feel free to reach out

Had an amazing time with everyone attending this! It was great hearing all the different use cases and corner situations everyone came up with and getting to hear about some projects! Thank you all! Looking forward to more!

Can’t say enough how much I love that the migration tool was done and ready for this feature at the same time - it’s incredibly thoughtful and addresses a need before it comes up.

Just my dissertation 😂 Never got around to covering it in an article.

Oh, and this nightmare inducing image.

It’s a very generalizable model though. Applies to almost anything you can throw at it.

etda.libraries.psu.edu/files/final_...

Good review! And… on top of that, there’s a few reasons folks use story points instead of time estimates. They’re just not accurately repeatable measures across participants.

Populations who only have State Media, seeing a glimmer of what’s really going on, and the reverse, being able to look in and hear the real stories. Its liberation and voice

This is just a piece of what AT Protocol does. AT is not Bluesky. Look at the bigger picture, the potential - the people 2/2

I just discovered that on laptops with Windows 11 it no longer reports the time left for the battery to drain.

My entire world, shattered.

So you model the pieces that take up so much space and compute power. You keep thought and memory.

You have a *thinking* AI that can run on a desktop - probably even a smartphone.

Imagine giving it the compute power an LLM has?

Imagine if someone funded me to do this! 😂 3/3

This is where Aislinn came from - we can model "human-like" thought with so much less CPU and RAM. If you cut out all the "extra" stuff the brain does - spatial reasoning, language, sensory input, etc. and get down to *pure cognition* your synapse count is 10 million or less. Far more manageable 2/3