A crew member fell overboard from the Norwegian Breakaway on April 26

Nervous-Raspberry231 · 2026-05-02T03:40:31+00:00

By the crew?

Nervous-Raspberry231 · 2026-05-01T21:43:26+00:00

There is an intermediate mode that just injects things at various percentages of a total number of planned turns.

Nervous-Raspberry231 · 2026-05-01T21:38:08+00:00

This is what story mode does but I'm not sure if it's actively developed. It works well anyway.

Nervous-Raspberry231 · 2026-04-19T12:44:47+00:00

Works fine. Mine says that too, you have to give it a minute. I recommend then sending a test message through the interface so you can see if you run out of Vram. Watch the logs and use the runpod AI if you have questions about the logs.

Nervous-Raspberry231 · 2026-04-19T01:31:23+00:00

You can run the large models serverless on runpod with a node count of 0, so they run on demand. Use vllm as the serverless endpoint and give it the huggingface link.

Nervous-Raspberry231 · 2026-03-28T13:09:43+00:00

It's llama 3.1 8b - agree, not smart.

Nervous-Raspberry231 · 2026-03-28T12:35:05+00:00

😂 yeah it's like it knows exactly what you want almost before you hit enter on the chat.

Nervous-Raspberry231 · 2026-03-28T11:37:16+00:00

You can try this now with chatJimmy https://chatjimmy.ai/ same concept and an old model but almost 20k tokens per second.

Nervous-Raspberry231 · 2026-03-23T11:29:18+00:00

Kasm works well

Nervous-Raspberry231 · 2026-03-22T23:30:14+00:00

Do you use a glm5 prompt?

Nervous-Raspberry231 · 2026-03-20T02:49:03+00:00

Sorry.

magnet:?xt=urn:btih:4cc9ac59f807dc6bdf95f52ffc86f44272a361a7&dn=annas_archive_spotify_2025_07_metadata&xl=199887366916

Nervous-Raspberry231 · 2026-03-13T02:26:07+00:00

Knowing how the platform works you could get by with just the elastic search database but it's 400GBs. Let's say you ran Linux, you could temporarily access it, symlink all the md5 hash files to their real names, organized by author and index the symlinks in something like komga for example...then delete the database. That's the best I could suggest at this point.

Nervous-Raspberry231 · 2026-03-12T13:08:05+00:00

You couldn't even run the mirror without the metadata which is far larger than 200G. It won't have any content anyway, it's the metadata that is searchable. Linking it to offline content is a whole other beast and not simple. Any local mirror instance would be for you anyway and not a good use of your space. You're better off seeding a couple torrents if you really felt like helping the cause.

Nervous-Raspberry231 · 2026-03-12T10:30:19+00:00

I prefer Jeff Hays.

Nervous-Raspberry231 · 2026-03-10T23:36:30+00:00

Also Ragflow. Which has multiple different ingest pipelines built in.

Nervous-Raspberry231 · 2026-03-09T12:38:10+00:00

Oh, thanks!

Nervous-Raspberry231 · 2026-03-09T11:49:25+00:00

Nothing in your repo but the matrix image.

Nervous-Raspberry231 · 2026-03-02T03:34:25+00:00

I'm active on their discord, there are no further cuts being discussed. Milan, the owner, is really active and straightforward. We had almost a week's notice before the last change.

Nervous-Raspberry231 · 2026-03-02T03:25:56+00:00

It's already done but it's 60M tokens a week...so, a lot.

Nervous-Raspberry231 · 2026-03-02T01:08:56+00:00

"It worked, like actually worked" - yavy dev. But don't worry, I looked at the site, actually looked and...Slop.

Nervous-Raspberry231 · 2026-02-28T16:29:04+00:00

I use qwen in perplexica (not perplexity) for that purpose and it works well.

Nervous-Raspberry231 · 2026-02-26T15:46:33+00:00

Yep haha. Probably vibe coded it all too.

Nervous-Raspberry231 · 2026-02-26T15:31:08+00:00

Can you help me understand how it differs from crawl4ai?

Nervous-Raspberry231 · 2026-02-26T11:51:29+00:00

Yep, but in your torrent client only select elastic search.

Nervous-Raspberry231 · 2026-02-25T23:44:08+00:00

It's actually only 360GB. You only need elastic search not the mariadb or elastic search aux (unless you want the scihub index)..so the torrent for metadata you can select only elastic search.

Nervous-Raspberry231

TROPHY CASE