I'd love to use something other than ROS2, if for no other reason than to get rid of the dependency hell and the convoluted build system.

But there are a lot of nodes and drivers out there for ROS already. It's a chicken and egg thing because people aren't going to write drivers unless there are enough users, and it's hard to get users without drivers.

It looks like their business model is to give away the OS and make money with FoxGlove-like tools. It's not a bad idea, but adoption will be an uphill battle. And since they aren't open source yet, I certainly wouldn't start using it on a project until it us.

I recently filed a lawsuit in federal court, but because of the nature of the suit (adversarial proceeding on a bankruptcy case, wanting to cut my losses knowing collection is going to be the problem) I decided to do it Pro Se.

I've used a lot of AI to do this, with a lot of research of my own, reading documents from similar cases, verifying citations, etc. So far, things are going well, I've won on all the motions so far. But I'm using critical thinking and carefully reviewing everything.

The real failure with slop filings is procedural, not technological. A competent attorney should never submit a brief built on case law they hadn’t verified. Legal practice has always relied on reading the sources, confirming relevance, and taking responsibility for interpretation.

There is a way to trigger a script when a budget is hit, but they don't make it easy. You set up a billing notification that triggers a script, which can disable resources (like APIs) automatically.

https://docs.cloud.google.com/billing/docs/how-to/control-us...

Google Cloud is easy to set up soft budget alerts via email though, something that I had to use third party service for with AWS.

I've been working on an open source, fully self-hosted network video recorder for about two months now. https://github.com/kevinbentley/ronin-nvr/

It works with cheap, generic IP cameras over RTSP. It's pretty easy to get it working with a Raspberry Pi too.

I was using the synology surveillance app, but after their recent shenanigans, I wanted something I could self host and modify on my own.

I'm using it at my property with 14 cameras right now and I'm really happy with it. There's still some work to do, but it's integrated with ML object detection, and even integration with a VLLM to describe a scene when certain things are detected.

This was my first attempt at a large-scale application that is heavily AI assisted. I need to update the screenshots and feature list for the readme, but if you have any questions or want to get involved, let me know.