curbstickle_lw

You can, but you need their app.

That isn’t something I’m going to do, so I tag manually instead.

Well, perfect use case for the test immich instance!

I’ve got a few day trips recently that will make for good tests for over the weekend.

The immich service connection.with writeback is awesome!

My kids have some dinky little digital cameras with no GPS or WiFi or anything, just writes photos locally to microsd, so obviously no location data. I use my phone, sure, but when traveling I’ll use my DSLR that also has no GPS (OK it does have WiFi, but I don’t use it).

Which turns into me tagging every time we get back from somewhere.

Going to give that immich link a try!

Its relatively new (past 6 weeks or so?) due to an influx of projects and a lot of repeat questions, and after some community discussions its where things landed.

Please update with the tag per rules 7 & 8 and add a disclosure if needed

Thanks!

No worries, just clarifying, which I’ll need to add into the rules as well somehow…

even if you are promoting someone else’s project/app.

To correct you on this - ifyou are linking someone else’s project/app, it would be entirely impossible to require a disclosure. A tag is a nice-to-have depending on how visible those elements are, but the paid/30 day account age for f/loss would still apply.

I suspect I’ll need to clean up the language some if this is the takeaway.

Aside from “local model”, you might see things like whisper.cpp, llama.cpp, ollama, or “OpenAI compatible endpoint”, or a reference to getting models from HuggingFace (you can think of it like github for llm’s - its more and less, but accurate enough for what we’re talking about here).

whisper.cpp is a c++ implementation of whisper (ASR as mentioned), llama.cpp is a high performance and lightweight tool to support llm/llm inference, ollama is a very user friendly way to do the same, and OpenAI compatible endpoint is just using the protocol for communication, so you can point the client at llama.cpp or similar running on the same machine or another you have access to.

Most things with an extemely tight purpose like this (like listening for some birds singing) will use much leaner models, and may be able to run even from a phone.

Audio processing by ai can absolutely happen on a pi.

As an example, whisper.cpp is a high performance speech recognition model, and it does a great job. The biggest version of it as a model requires less than 5GB to live fully in memory, the large model at about 1.5billion parameters, and it works great even CPU only.

The one used most often is small, which has about 244million parameters, and needs about a gig of ram and nothing more.

For a pi 5, usually the base or tiny model are used. Small could be used in most scenarios, but tiny and base are able to run real-time.

So it depends for how local - sometimes its all self contained and can do just fine on a pi, sometimes its local in that it needs an LLM endpoint to hit, but that can be running on another system entirely.

It would really depend on the project for how/where/why for a definition of local.

A quick general awareness comment:

A post about a project not by the original creator is not a promo post. A user will not necessarily know the details to provide a disclosure unless a project explicitly has on in their repo.

Requiring it on a project post like this (“Here’s a cool thing I found!”) is not doable.

Thanks, please update the title with [AIP] as well, so people can filter.

Choosy self-hosters choose Debian.

That said, I don’t recommend hosting software at the bare metal level - use VMs or containers. Far easier to manage and isolate.

Please update your post with the appropriate tag [CBH] or [AIT], and if applicable, the AI disclosure. See rules 7&8.

I’m going to go ahead and try to use this comment as a teachable moment.

For one, this comment barely skirts the line to me as acceptable. If you aren’t interested in AI topics, thats what the [AIT] and [AIP] tags are for - for you, as a user, to choose what you are interested in and what you are not.

The first part of your comment, by itself, I would have simply removed. You asked for alternatives, and are being rightfully replied to pointing out that this is all under the subject of automation, which (to me) barely puts this above low effort.

If you don’t want to see AI discussions in the future, use the tags to filter. If I see more comments like this that are barely, and entirely subjectively just above low-effort, the bar is going to raise just a hair and they will be removed, as they will come across like trying to skirt the rules.

The hard part is making sure your email server works with others.

Standing up an email server that is otherwise inactive aside from login? Perfectly easy, no send involved.

My suggestion would be to stand up a mail server (that doesn’t really do anything) and bring your mail over there. Then add the account on your phone, and you’ve got email now searchable like any other.

Awesome! Going on the list!

@fabio@lemmy.manganiello.tech As this is your software, please update with the appropriate tag ( [CBH] or [AIP] ), and if [AIP], disclose as per rule 8. Please let me know if you have any questions!

@rimu@piefed.social given the new post tag requirements, please edit your title to include [AIT].

It hasn’t been made an official rule yet, just the discussion on it.

Thats on me, holiday weekend + travel so I haven’t cemented from the discussion results.

Just got home after a few days away, so while ive been removing the offhand problem posts and comments, I haven’t had time to do much more yet.

I just use an internal proxy with the same endpoint and same cert.

OG KeePass program was never written for Linux

It’ll run with mono, package is named keepass2 on deb, keepass on arch and fedora, among others.

keepass.info/download.html

Contributed/unofficial keepass section at the bottom, the top contributed section is a list of ports

I think you may be misunderstanding the terminology here.

AI is a general term. LLMs are a subset, as are ML, DL, ANNs, NLP, CV, Expert models, etc.

Today you would define what we have as ANI, where the “N” stands for “Narrow”. This is also known as “weak” AI.

What you’re referring to would be called AGI, where the “G” stands for “General”, where an AI would have a human degree of intelligence. This is pure concept today, and does not exist.

Also on the list would be ASI, where the “S” is for “Super”, where the AI in question has more collective intelligence than humanity across all domains. This is purely hypothetical.

But AI has existed for decades. The first application I know if is Dendral, which as created in the 1950s to analyze mass spectrometry data to identify organic molecules. This was what’s called an Expert model - basically a lot of if-then statements, and led to things like MYCIN.

We don’t need to redefine words here.

That being said, it should be okay for users to call out an obvious grift, or a “nonsense repo” that’s actually pure slop.

Especially if the disclosure is blatantly a lie, absolutely. I’d also say if you see any indicators that they are lying in the disclosure, its still worthy of reporting - but I would say report and separately message the “why”, to limit visibility of seeing those indicators.

Just to point out a few projects that allow AI contributions:

• Firefox
• NodeJS
• Chromium
• curl
• Go
• InfluxDB
• MariaDB
• Prometheus
• Linux
• openSSL
• Blender
• Mattermost
• Caddy

If you want all projects related to AI in a different community, it may be easier for you to start “selfhosted_without_ai” or something.

Due to the rule change (stickied post), closed source / paid software is not permitted without community participation - meaning non self-promotional content.

As all of your posts are either this or a link to your blog, I’m taking this down under rule 7.

I actually do want tagging of some sort, I think its a sensible approach overall. I think its a quick way to identify that your project used AI and people can quickly filter, per your example.

That said, I think that should be a separate item, and I don’t want to inundate with stickies either. That was going to be my next “oh look a mod is annoying us with his opinion again” post, but then we ended up seeing a ton of promo content this week. I’m trying to stick to a mod post every week or two so everyone has a chance to see and respond to things.

That said, if you want to get that discussion ball rolling, feel free to make a meta post about it of course!

Offtopic and inappropriate for the discussion.

@DepthSight@lemmy.world you made this post right in the middle of a bigger conversation around promotional posts, so be aware that this post may be removed later pending the outcome of that discussion in the meta thread here:

lemmy.world/post/48462124/24369166

For everyone else, here is why I’m leaving the thread up:

• Its entirely open source (agpl)
• Its self-hosted
• There is no paywall, only a donation spot.

Here is where I see a potential problem:

• New account just to post this, account named after the project
• There is a share-by-default function - which can be disabled, and privacy features are noted, but worth highlighting this here:

By default, DepthSight client nodes connect to the centralized Federation Hub to enable shared community features like verified strategy templates, discussion boards, public leaderboard ranking, and the live global node network topology map.

For those coming here and reporting, please be aware this doesn’t blatantly break any rules imo, only the (extremely subjective) rule 2, which I don’t think fits for the reasons I noted above. Making a good reference for discussion in the meta.

No worries, everyone gets caught up sometimes even me. Thats why its just a bunch of removals.