The idea of generative AI isn't accuracy, so that's pretty expected.
Generative AI is designed to be used with a content base and expand on information, not to create new information. You can feed generative AI with the entirety of the current Wikipedia text source and have it expand on subjects which need it, and curtail and simplify other subjects which need it.
You don't ask generative AI to come up with new information--that's how you get inaccurate information.
text AI generators making up believable lies if it doesnt have enough information
Let's not anthropomorphize AI. It doesn't lie. It uses available data to expand on a subject to make it conversationally complete when it lacks sufficient information on a subject, regardless of whether or not the context is correct. That's completely different, and you can specifically prohibit an AI from doing that...
AI is great when used appropriately. The issue is that people are using AI as a Google replacement, something it's not designed to do. AI isn't a fact engine. LLMs are designed to as closely resemble human speech as possible, not to give correct information to questions. People's issue with AI is that they're fucking using it wrong.
This is an exceptionally great usage of AI because you already have the required factual background knowledge. You can simply feed it to your AI telling it not to fill in any gaps and to rewrite articles to be more uniform and to have direct and easy to consume verbiage. This instance is quite literally what generative AI was designed for....to use factual knowledge and to generate context around the existing data.
Issues arise when you use AI for things other than what it was intended, and you don't give it enough information and it has to generate information to complete datasets. AI will do what you ask, you just have to know how to ask it. That's why AI prompt engineers are a thing.
A delayed update schedule really helps for environments like this. Keep your ear to the ground for critical updates, but I've done this sort of thing a few times and waiting a week or two to update is a really great solution.
One thing I've almost done before is to choose a computer as a test subject, update it before anything else, and if all things are good you're probably fine.
Why they are so threatened by AOC and Sanders, and the calls for the old guard to GTFO
Both Sanders and AOC both support Israel. The progressive base may like them better than "the old guard" but they're not exactly in love with these two. It's a begrudging vote, not a happy one.
When giving docker access to a socket, the docker process will have access to any folder/file the running user has access to. That doesn't mean that your containers do, generally, but they can. This is how the Kinsing docker virus is so prevalent.
不作死就不會死 / 不作死就不会死 (bù zuōsǐ jiù bùhuì sǐ, “You will not get into trouble if you do not seek trouble”) or Chinese 不作不死. Basically the Chinese equivalent of "FAFO."
Do you have a proper backup solution? If you have a catastrophic data error, can you still recover? If not, just choose the hosted infrastructure.
Self-hosting is great. I love it. But when it comes to critical things that you absolutely cannot fuck up, I would rather trust a consumer based solution. If you fuck up your passwords and they're gone, it's going to hinder you significantly more than losing sleep about some rando having all your passwords if they break scrypt encryption.
Super small. Lightweight. Web focused. Only downside is no multi-user access. Setup an account to share between your friends, and give them the login information. Then they can upload albums, edit albums, whatever. Anything uploaded is private unless shared, then anyone with the link can view the photos.
Seems like a decent fit for you. They're also working on multiple users.
The issue with a federal minimum wage, is there shouldn't be one.
The minimum wage requirement in Ennis, Montana is not the same as New York City. So trying to standardize wages across the entire country is a very bad idea either way as it causes undue stress for small business in Ennis, while not being enough to sustain a livable wage in NYC. We need a federally mandated "living wage" which is factored by zones, not the entire country.
Also, there's nothing about revenge porn laws which is insane to me. Your comment about curtailing free speech was totally fucking insane;
after QAnon, the notion of speech online being actively monitored isn’t quite the boogeyman it would seem
Also, for the record, stolen valor isn't a regulation of free speech. The Stolen Valor act of 2005 makes it a federal misdemeanor to falsely represent the earning of US military decorations or medals. It has nothing whatsoever to do with your freedom of speech. You still have the right to commit stolen valor--it's simply a crime to do so.
It has its quirks. But personally I prioritize performance over just about anything else, so I tried it as a daily driver and I haven't found anything yet which would make me drop it. I especially like it in headless environments. All my VPS run it, and it runs critical infrastructure which I'm responsible for that monitors oil and gas extraction rates--so some pretty critical infrastructure.
I am working on routeing mail through tailscale to a relay, since my host, for whatever reason, blocks mail ports and charges to have them turned on.
Should work fine. Your provider can't stop you from opening ports unless its a shared environment and you don't have permission/the port is already in use. Generally what they do is just block connections via a router/firewall. So if you use a VPN you're sidestepping that issue. With the VPN in place, and the server online and running you should be able to connect via {VPN_IP}:995, etc.
IMO MiniITX are a real PITA to build for on a budget. Most of the smaller components are sold at a premium because of their size.
I sell these things for a living and its exceptionally difficult to compete with pre-built ITX boards. Generally, I have to get a really great deal to come out on top vs some of the prefab models.
Because of that, unless you need something very specific and can't find it elsewhere, I generally suggest that you do some research and find a nice prefab one for your needs. If you don't mind spending the extra $, then building them is a hell of a lot of fun because you can customize them and you get exactly what you want, nothing extra.
Replacing the mini-rack with a completely 3D printable version will pretty significantly curtail the cost (between 1-300 euro because mini-racks are fucking expensive), so it might really be worth it if you can. Everything else is pretty trivial. Only thing you'll have to make sure is you get a CPU and MB with enough PCIe lanes for you to expand to what you want. Specifically a PCIe X4 to 6 port SATA 3 host controller. The board only uses 4x lanes, but you'll have to ensure that all 4 lanes are available or you'll see reduced read/write speeds.
The idea of generative AI isn't accuracy, so that's pretty expected.
Generative AI is designed to be used with a content base and expand on information, not to create new information. You can feed generative AI with the entirety of the current Wikipedia text source and have it expand on subjects which need it, and curtail and simplify other subjects which need it.
You don't ask generative AI to come up with new information--that's how you get inaccurate information.
Let's not anthropomorphize AI. It doesn't lie. It uses available data to expand on a subject to make it conversationally complete when it lacks sufficient information on a subject, regardless of whether or not the context is correct. That's completely different, and you can specifically prohibit an AI from doing that...
AI is great when used appropriately. The issue is that people are using AI as a Google replacement, something it's not designed to do. AI isn't a fact engine. LLMs are designed to as closely resemble human speech as possible, not to give correct information to questions. People's issue with AI is that they're fucking using it wrong.
This is an exceptionally great usage of AI because you already have the required factual background knowledge. You can simply feed it to your AI telling it not to fill in any gaps and to rewrite articles to be more uniform and to have direct and easy to consume verbiage. This instance is quite literally what generative AI was designed for....to use factual knowledge and to generate context around the existing data.
Issues arise when you use AI for things other than what it was intended, and you don't give it enough information and it has to generate information to complete datasets. AI will do what you ask, you just have to know how to ask it. That's why AI prompt engineers are a thing.