The WHO recommended a minimum indoor temp of 18º C (and a max of 24º C) for health purposes (and assuming appropriate clothing) back in 1987 (and they still stand by the lower bound, though the upper is locale dependent - e.g., 21-22º in Boston vs 30º in Thailand), so I’m not surprised that dipping below that is unpleasant.

One option I haven’t seen yet: You can set up a local file share on Windows or Linux and connect to it via the Files app.

Being a bit pedantic here, but I doubt this is because they trained their model on the entire internet. More likely they added Reddit and many other sites to an index that can be referenced by the LLM and they don’t have enough safeguards in place. Look up “RAG” (Retrieval-augmented generation) if you want to learn more.

Small correction - iCloud Photos are only end-to-end encrypted if you enable Advanced Data Protection, which was introduced in December 2022, and otherwise Apple has the keys. See https://support.apple.com/en-us/102651 for more details.

So the uploaded photos in question couldn’t have been e2ee. Even so, it’s reasonable for people to question the legitimacy of e2ee given instances where it’s been shown to be a lie or for the data to also have been transmitted without e2ee, like Anker’s Eufy cameras’ “e2ee” feeds clearly being accessible without keys from the user devices, or WhatsApp exposing tons of messaging metadata to Meta.

That said, I personally wasn’t using iCloud Photos prior to enabling Advanced Data Protection, and I had a few deleted photos show up from several years ago, so Apple’s explanation makes sense to me. And, like you’ve pointed out, most of the speculation was devoid of any critical thinking.

That’s a bit abstract, but saying what others “should” do is both stupid and rude.

Buddy, if anyone’s being stupid and rude in this exchange, it’s not me.

And any true statement is the same as all other true statements in an interconnected world.

It sounds like the interconnected world you’re referring to is entirely in your own head, with logic that you’re not able or willing to share with others.

Even if I accepted that you were right - and I don’t accept that, to be clear - your statements would still be nonsensical given that you’re making them without any effort to clarify why you think them. That makes me think you don’t understand why you think them - and if you don’t understand why you think something, how can you be so confident that you’re correct?

But major social media companies do exist. If your real point was that they shouldn’t, you should have said that upfront.

Because a good person would never need those. If you want to have shadowbans on your platform, you are not a good one.

This basically reads as “shadow bans are bad and have no redeeming factors,” but you haven’t explained why you think that.

If you’re a real user and you only have one account (or have multiple legitimate accounts) and you get shadow-banned, it’s a terrible experience. Shadow bans should never be used on “real” users even if they break the ToS, and IME, they generally aren’t. That’s because shadow bans solve a different problem.

In content moderation, if a user posts something that’s unacceptable on your platform, generally speaking, you want to remove it as soon as possible. Depending on how bad the content they posted was, or how frequently they post unacceptable content, you will want to take additional measures. For example, if someone posts child pornography, you will most likely ban them and then (as required by law) report all details you have on them and their problematic posts to the authorities.

Where this gets tricky, though, is with bots and multiple accounts.

If someone is making multiple accounts for your site - whether by hand or with bots - and using them to post unacceptable content, how do you stop that?

Your site has a lot of users, and bad actors aren’t limited to only having one account per real person. A single person - let’s call them a “Bot Overlord” - could run thousands of accounts - and it’s even easier for them to do this if those accounts can only be banned with manual intervention. You want to remove any content the Bot Overlord’s bots post and stop them from posting more as soon as you realize what they’re doing. Scaling up your human moderators isn’t reasonable, because the Bot Overlord can easily outscale you - you need an automated solution.

Suppose you build an algorithm that detects bots with incredible accuracy - 0% false positives and an estimated 1% false negatives. Great! Then, you set your system up to automatically ban detected bots.

A couple days later, your algorithm’s accuracy has dropped - from 1% false negatives to 10%. 10 times as many bots are making it past your algorithm. A few days after that, it gets even worse - first 20%, then 30%, then 50%, and eventually 90% of bots are bypassing your detection algorithm.

You can update your algorithm, but the same thing keeps happening. You’re stuck in an eternal game of cat and mouse - and you’re losing.

What gives? Well, you made a huge mistake when you set the system up to ban bots immediately. In your system, as soon as a bot gets banned, the bot creator knows. Since you’re banning every bot you detect as soon as you detect them, this gives the bot creator real-time data. They can basically reverse engineer your unpublished algorithm and then update their bots so as to avoid detection.

One solution to this is ban waves. Those work by detecting bots (or cheaters, in the context of online games) and then holding off on banning them until you can ban them all at once.

Great! Now the Bot Overlord will have much more trouble reverse-engineering your algorithm. They won’t know specifically when a bot was detected, just that it was detected within a certain window - between its creation and ban date.

But there’s still a problem. You need to minimize the damage the Bot Overlord’s accounts can do between when you detect them and when you ban them.

You could try shortening the time between ban waves. The problem with this approach is that the ban wave approach is more effective the longer that time period is. If you had an hourly ban wave, for example, the Bot Overlord could test a bunch of stuff out and get feedback every hour.

Shadow bans are one natural solution to this problem. That way, as soon as you detect it, you can prevent a bot from causing more damage. The Bot Overlord can’t quickly detect that their account was shadow-banned, so their bots will keep functioning, giving you more information about the Bot Overlord’s system and allowing you to refine your algorithm to be even more effective in the future, rather than the other way around.

I’m not aware of another way to effectively manage this issue. Do you have a counter-proposal?

Out of curiosity, do you have any experience working in content moderation for a major social media company? If so, how did that company balance respecting user privacy with effective content moderation without shadow bans, accounting for the factors I talked about above?

Why should shadow bans be illegal?

Context?

First, some background on Gina and Vincent, as well as the Streisand Effect (I assume you’re familiar with it, but maybe not):

• https://en.m.wikipedia.org/wiki/Gina_Rinehart
• https://en.m.wikipedia.org/wiki/Vincent_Namatjira
• https://en.m.wikipedia.org/wiki/Streisand_effect

More background:

• https://www.abc.net.au/news/2023-11-21/vincent-namatjira-artworks-in-his-own-words/103107252
• https://inreview.com.au/inreview/visual-art/2023/10/20/vincent-namatjira-presents-australia-in-colour/
• https://www.theguardian.com/artanddesign/2023/oct/17/i-see-myself-as-a-royal-artist-vincent-namatjira-on-colonialism-satire-and-his-great-grandfathers-legacy

Other articles on the same event:

• https://www.theguardian.com/business/article/2024/may/15/gina-rinehart-demands-national-gallery-of-australia-remove-her-portrait
• https://www.theguardian.com/australia-news/article/2024/may/16/gina-rinehart-portrait-vincent-namatjira-artist-national-gallery-of-australia
• https://edition.cnn.com/2024/05/16/style/gina-rinehart-namatjira-portrait-australia-intl-scli/index.html
• https://www.msn.com/en-us/news/world/gina-rinehart-s-unflattering-portrait-and-reputation-with-indigenous-australians/ar-BB1mv8iG
• https://www.abc.net.au/news/2024-05-16/artist-responds-over-national-portait-vincent-namatjira/103858250
• See also: https://www.msn.com/en-au/news/other/vincent-namitjira-says-he-paints-the-world-as-he-sees-it-in-response-to-gina-rinehart-portrait-controversy/ar-BB1muzUK
• https://www.msn.com/en-us/lifestyle/lifestyle-buzz/gina-rinehart-a-mining-magnate-worth-22-billion-wants-her-portrait-removed-from-an-australian-gallery/ar-BB1muVXV

I have the 8bitdo SN30 Pro+ and almost got one of their Hall effect controllers for my most recent controller (but ended up going with the King Kong 3 Max instead).

I noticed they have a repair parts section on their shop, but frustratingly, it doesn’t have analog stick replacements - just the joystick caps.

There’s an iFixit guide to replacing them, but it doesn’t list where you can get the new part, either. I’m guessing they use a standard part - maybe even one you could get for a few bucks off AliExpress - assuming you’re up to the task of desoldering the old stick and resoldering the new one.

You can also get replacement Hall effect analog sticks from Gulikit and install them in your joycons yourself. They also made them for the Steam Deck. I installed a set in my old LCD Steam Deck and it was really straightforward, but I suspect the joycons take a bit more work.

It’s a shame they don’t make them for the PS5 - there are multiple third party controllers with Hall effect sensors that are compatible with pretty much everything else, but there’s only one Hall effect controller compatible with the PS5 (the Nacon Revolution 5 Pro), and it’s $200.

If you use that docker compose file, I recommend you comment out the build section and uncomment the image section in the lemmy service.

I also recommend you use a reverse proxy and Docker networks rather than exposing the postgres instance on port 5433, but if you aren’t familiar with Docker networks you can leave it as is for now. If you’re running locally and don’t open that port in your router’s firewall, it’s a non-issue unless there’s an attacker on your LAN, but given that you’re not gaining anything from exposing it (unless you need to connect to the DB directly regularly - as a one off you could temporarily add the port mapping), it doesn’t make sense to increase your attack surface for no benefit.

It first showed up on Netflix in mid-2023, in the middle of the writer’s guild strike (meaning there was a dearth of new content). So basically the Netflix effect. It had been on other streaming platforms before - Prime Video and Hulu - but Netflix is still a juggernaut compared to them - it has 5 times as many subscribers as Hulu, for example, and many of the subscribers to Prime Video are incidental and don’t stream as much on average as Netflix users.

I assume Netflix funded off-platform advertising, but the on-platform advertising has a big effect, too. And given that Suits broke a record in the first week it was on Netflix and they have a spinoff coming, it makes sense that they would keep advertising.

You can use YaCy, which can be run as an independent self-hosted index (in “Local” mode), where it will index sites visited as part of web crawls that you initiate, or you can run it as part of a decentralized peer-to-peer network of indexes.

YaCy has its own search UI but you can also set up SearXNG to use it.

I haven’t used it and only heard about it while writing this post, but Open WebUI looks really promising. I’m going to check it out the next time I mess with my home server’s AI apps. If you want more options, read on.

Disclaimer: I’ve looked into most of the options below enough to feel comfortable recommending them, but I’ve only personally self hosted the Automatic 1111 webui, the Oobabooga webui, and Kobold.cpp.

If you want just an LLM and an image generator, then:

For the image generator, something that leverages Stable Diffusion models:

• Automatic1111
• InvokeAI
• ComfyUI

And then find models that you like at Civitai.

For the LLM, the best option depends on your hardware. Not knowing anything about your hardware, I recommend a llama.cpp based solution. Check out one of these:

• Oobabooga webui
• Ollama
• Jan
• LMStudio
• Kobold.cpp

Alternatively, VLLM is allegedly the fastest for multi-user CPU-based inference, though as far as I can tell it doesn’t have its own webui (but it does expose OpenAI compatible API endpoints).

And then find a model you like at Huggingface. I recommend finding a model quantized by TheBloke.

There are a couple communities not on Lemmy that discuss local LLMs - r/LocalLLaMA and r/LocalLLM for example - so if you’re trying to figure out which model to try, that’s a good place to check.

If you want a multimodal AI, you can use llama.cpp with a model like LLAVA. The options below also have multimodal support.

If you want an AI assistant with expanded capabilities - like searching your documents or the web (RAG), etc. - then I don’t have a ton of experience there, but these seem to do that job:

• H2OGPT
• Open WebUI, formerly Ollama Webui

If you want to use your local model as more than just a chat bot - integrating it into your IDE or a browser extension - then there are options there, and as far as I know every LLM above can be configured to expose an API allowing it to be used by your other tools. Some, like Open WebUI, expose OpenAI compatible APIs and so can be used with tools built to be used with OpenAI. I don’t know of many tools like this, though - I was surprisingly not able to find a browser extension that could use your own API, for example. Here are a couple examples:

• Continue for VS Code / JetBrains IDEs
• “ChatGPT Utilities” for A1111 WebUI - this doesn’t let you set the URL by default, but since it’s open source you could modify it pretty easily

Also, I found this Medium article listed some of the things I described above as well as several others that I’d never heard of.

Last I checked (around the time that LLAMA v3 was released), the performance of local models on CPU also was pretty bad for most consumer hardware (Apple Silicon excepted) compared to GPU performance, and the consumer GPU RAM situation is even worse. At least, when talking about the models that have performance anywhere near that of ChatGPT, which was mostly 70B models with a few exceptional 30B models.

My home server has a 3090, so I can use a self-hosted 4-bit (or 5-bit with reduced context) quantized 30B model. If I added another 3090 I’d be able to use a 4-bit quantized 70B model.

There’s some research that suggests that 1.58 bit (ternary) quantization has a lot of potential, and I think it’ll be critical to getting performant models on phones and laptops. At 1.58 bit per parameter, a 30B model could fit into 6 gigs of RAM, and the quality hit is allegedly negligible.

I had a pocket TV back in 2007 or so. It had an antenna and everything. It was a bit bulky and not at all power efficient, though. IIRC it went through 8 AA batteries in about 3 hours.

I’m not sure why you’d want that over a smartphone or even just a small tablet, though.

Also, we have flying skateboards, they’re just prohibitively expensive or not yet being sold. Look up the ArcaBoard (was $20k back in 2015, doesn’t seem to be sold anymore), the Lexus Hoverboard, and the Flyboard Air. Unfortunately if you try to buy a “hoverboard” you’re just gonna end up with an electric scooter

I haven’t personally used any of these, but looking them over, Tipi looks the most encouraging to me, followed by Yunohost, based largely on the variety of apps available but also because it looks like Tipi lets you customize the configuration much more. Freedom Box doesn’t seem to list the apps in their catalog at all and their site seems basically useless, so I ruled it out on that basis alone.

I am trying to avoid having to having an open port 22

If you’re working locally you don’t need an open port.

If you’re on a different machine but on the same network, you don’t need to expose port 22 via your router’s firewall. If you use key-based auth and disable password-based auth then this is even safer.

If you want access remotely, then you still don’t have to expose port 22 as long as you have a vpn set up.

That said, you don’t need to use a terminal to manage your docker containers. I use Portainer to manage all but my core containers - Traefik, Authelia, and Portainer itself - which are all part of a single docker compose file. Portainer stacks accept docker compose files so adding and configuring applications is straightforward.

I’ve configured around 50 apps on my server using Docker Compose with Portainer but have only needed to modify the Dockerfile itself once, and that was because I was trying to do something that the original maintainer didn’t support.

Now, if you’re satisfied with what’s available and with how much you can configure it without using Docker, then it’s fine to avoid it. I’m just trying to say that it’s pretty straightforward if you focus on just understanding the important parts, mainly:

• docker compose
• docker networks
• docker volumes

If you decide to go that route, I recommend TechnoTim’s tutorials on Youtube. I personally found them helpful, at least.

It’s not changing the default behavior, so it still has it.

Per the article, they’re introducing a new opt-in feature that a woman, enbie, or person looking for same-gender matches can set up - basically a prompt that their matches can reply to.

I think Bumble also used to prevent you from sending multiple messages before getting a reply, but maybe that was a different app… If they still do that in combination with this feature, then I could see this feature continuing to accomplish their mission of empowering women in online dating.