This is my answer put the randomising exploration in your preference

https://claude.ai/public/artifacts/d12af7c5-3eb0-4218-a505-e...

People might not want to be on update treadmill of proprietary weight models, for enterprise things. Things change a lot between models and they can't guarantee backwards compatibility like you can for deterministic software

Why didn't they build a nerd oasis somewhere?

And HN isn't it...

Most of them had quarter/midlife crises and got partners/children/mortgages etc. and no longer care. The next generation know nothing else other than the current internet.

Yeah sadly that's it. The great forums all died off when it was no longer doing ridiculous stuff to entertain internet friends, and instead having super lame adult responsibilities.

Speaking for myself, kids even with a hands off parenting approach are a ridiculous amount of work.

The first rule of nerd oases is you don't talk about nerd oases.

If you belong, you'll find them and know how to get past the gates.

I'm skeptical of your second claim; being able to find such places ex nihilo would seem to require precisely the skills nerds lack

if there were nerd oases I would expect more second order impacts. More nerd organisations springing up as if from nowhere.

HN is one of the closest to it IMO. I sometimes think the very Web1.0-ness of its interface and its hostility to mobile browsers are purposefully made speed bumps before becoming fully mainstream.

Also time passes and people change. Many of the people on HN today were once dialup users. They are the same people but also different.

I think there is a rich seam of work for computers to help humans spot when there are anomalies in the hypotheses humans hold that can help humans form the corrections to hypothesis that fit our aesthetic sensibilities

It's worth taking actions that take large scale job losses due to AI in the future into consideration, even if now is not the time

It's important to have good feedback at each stage of iteration

I've thought of a service that scans new websites and GitHub repos and looks for things that don't look like anything else (using something like hdbscan for outlier detection), and creates a feed for people to follow.

One example of something that might fit the loose forest civilisation mold is a social network that faceted on ML derived topic.

This would allow niches to exist, without people being able to post off-topic things to your feed.

Or maybe it won't. If it can be made efficient like humans it might be at the edge mainly.

I've been leaning towards multi agent because sub agent relies on the main agent having all the power and using it responsibly.

What does that mean?

Have you come across the lethal trifecta [1]? I'm interested in decomposing tasks to avoid any agent doing all three and having limited data pipes between them.

[1] https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/