jpiratefish

I recommend using google to see if an open-source solution for your problem already exists. If you search "desired solution site:github.com" - this will show only results from github.com - a good place to find and get open source software.

There are free AI coding tools - knowing how to use them is the challenge. lmstudio(.ai) is a good all-around desktop AI, free, and can help you pick models and manages them. All on local compute - no clouds. This will be my business excuse for having a high-end GPU going forward.

If desperate and hopeful enough, one could post the idea in a reddit thread and see what happens.

Get full email samples - forward them "as attachment" so all headers are intact. Look over the headers and determine the source IP for the initial email connections - they might be the same for multiple messages in the same batch - or will be from the same ISP. The MX Toolbox has a header analyzer that can help figure where they start from.

If the user is using a mobile device, this can present challenges - and if they sat in coffee shops to send this email you'll have a lot harder time ID'ing the user.

Once you have an idea what IP address(es) are sending these, then you check your VPN logs to compare the source IP's. This should be fairly easy and could directly finger your sender.

With these logs and some suspected source IP's, you might be able to figure out which user is doing this - even with ISP's using dynamic addressing, IP's are still held for weeks/months on networks - so this should hold up.

If the user is using a unique mobile service or a cloud emailing service - this can also be correlated to their mobile devices using DNS request logs. If they're using Google to do this, your lawyer could subpeona the user from them.

The R1 is more a platform attempt at this point. Their aim is to disrupt if possible - hence their logic over putting this in dedicated hardware and owning the entire experience - and not just publishing a phone app.

I could see some future LAM integrations be paid service extras.

The run stable-diffusion webui and get base models off civit.ai

* The Chronicles of Amber (10 volumes)

* CODE - Microsoft Press

* Snowcrash

Artificial Idiot seems more appropriate. I asked it about chemical reactions that capture carbon, the subject is too sensitive.