Yes, I think that's the way to go. If the paperless-ngx team doesn't believe in following that path, someone else will probably fork the project and do it, or build something with similar capabilities "from scratch". Then, it'll be interesting to see what's coming forth of open-source models with capabilites similar to GPT-4Vision.... . . . . 🤯
On a somehow related note, I just remembered this memory of me burning DBAN to a CD-ROM as a kid, and drawing a skull head on the disc to warn about its dangers!
I don't exactly remember actually using DBAN back then. Though, I remember changing a forgotten Windows user password more than once by booting from some disc I had burned too, but I don't think that was a DBAN feature?
a "tl,dr" bot would probably not even need high end hardware, because it does not matter if it takes ten minutes for a summary.
True, that's a good take. Tl;dr for the masses! Do you think an internal or external tl;dr bot would be embraced by the Paperless community?
It could either process the (entire or selected) collection, adding the new tl;dr entries to the files "behind the scenes", just based on some general settings/prompt to optimize for the desired output – or it could do the work on-demand on a per-document basis, either based on the general settings or custom settings, though this could be a flow-breaking bottleneck in situations where the hardware isn't powerful enough to keep up with you. However, that only seems like a temporary problem to me, since hardware, LLMs etc. will keep advancing and getting more powerful/efficient/cheap/noice.
a chat bot do not belong into paperless
Right – but, opposingly to that, Paperless definitely do belong into some chatbots!
I'm not interest in sending my documents to open AI.
You wouldn't have to. There are plenty of well-performing open-source models that work with an API similar to the Open AI standard, with which you can simply substitute OpenAI models by using a different URL and API-key.
You can run these models in the cloud, either selfhosted or "as a service".
Or you can run them locally on high-end consumer-grade hardware, some even on smartphones, and the models are only getting smaller and more performant with very frequent advancements regarding training, tuning and prompting. Some of these open-source models are already claiming to be outperforming GPT-4 in some regards, so this solution seems viable too.
Hell, you can even build and automate your own specialized agents in collaborating "crews" using frameworks, and so much more...
Though, I'm unsure if the LLM functionality should be integrated into Paperless, or rather implemented by calling the Paperless API from the LLM agent. I see how both ways could fit some specific uses.
So the scanner saves the file in SMB-share(s), then Paperless(-xng) will automatically process it?
Maybe Paperless, with an LLM API integration to chat with the documents, using the power of referring to and verifying against Paperless' concrete results, would be somehow useful.
For now, my old 3rd party reddit apps on Android still work with the simple workaround of being a mod (of my own hidden subreddit), since some mods needed 3rd party apps to do their work, so, apparently, reddit kept it open for all mod accounts.
1 bike takes up the space and manoeuvre room that could fit 3 or 4 people.
I'd say two bikes in a well-designed alternating rack along the wall takes up about the same space as two seats beside each other. Also, some people will stand along the bikes if their train ride is short, taking up less space than a seat. My estimate would be that 1 person + 1 bike ≈ 1,75 seats on average.
Beside that, I think you have a valid point in that a big part of the solution is locally available micromobility options, but I don't think bike-friendly trains wouldn't be a part of the solution too, since people will probably still want to own bikes, scooters etc. in the future. I, at least, like owning things that make my life easier.
Many urban-suburban trains, and even some regional trains, have entire cars dedicated for bicycles, with no (or only few) seats. This is very scalable on multiple scales, when the demand is growing:
Adding more bicycle cars to existing bike-friendly trains 🏩🚞🚃🚃🚃🚃🏫
Adding more bike-friendly trains to existing lines 🚆🚆🚉🚊🚇🚇
Building new well-placed bike-friendly stations on existing lines 🏢🏪🚵♂️🚵♀️🚈
Adding more passenger railway lines to existing rail networks. 🛤️🛤️🛤️🛤️🛤️
Cheese is next level weird when you think about it, especially aged ones, but I must say I find a great variety of them really delicious.
Some of them are very much essential in my favorite foods. Butter as well as cream is nice too.
Ice cream!
Eating dairy-based food in public isn't weird. So that's another solution; Eat an ice cream with whipped cream, a pizza with four different cheeses, or just brioche bread and butter!
However, if you want to drink the milk, you better shake it first with some vanilla, strawberry or chocolate ice cream. Milkshakes are totally accepted.
That sounds like a plan. I'd search online for advice from other users beforehand, regarding which solutions/apps are confirmed to work well with the exact device, OS version etc.
That's good to know! Mine was only 720p "HD ready", though I remember the image quality as being decent. I just had a white wall, though it actually looked fine on e.g. a blue wall too. I still have it somewhere, but the lamp is broken. Thought of fixing it last time I found it, since a replacement lamp isn't too expensive, but decided it wasn't worth it because of the fan noise...
Yes, I think that's the way to go. If the paperless-ngx team doesn't believe in following that path, someone else will probably fork the project and do it, or build something with similar capabilities "from scratch". Then, it'll be interesting to see what's coming forth of open-source models with capabilites similar to GPT-4Vision.... . . . . 🤯