So, you’re a robot?

This is the first time I’ve seen a four-way version of this meme.

Yeah, but I’m willing to bet that there are more RimWorld players than Dwarf Fortress players.

People use Exchange server? In the year of our lord 2026?

“Journalism”

Okay, apparently, the hundreds of thousands of dollars figure was BS.

The Chinese models are significantly better and will outcompete the models from the US, it was just a matter of people realizing that.

Maybe not as good as Claude, but they are good enough, and open-source, and free. The US market is going to learn the hard way why open-source curbstomps greedy bullshit.

OpenAI will be the first to fall, and then better players like Claude will be forced to release more open-sourced models.

they will lobby for tariffs or banning Chinese models outright also seems to be coming true.

Then it’ll just come from Germany or France or elsewhere. It doesn’t take millions of dollars to train a good model, despite these US companies pretending that it does.

The piefed developer can get fucked. This one person has caused nothing but chaos in the Lemmy community. I’ve seen similar posts to this one, having to do with different topics, where admins and mods have to put out some stupid statement to counter some dogshit decision or opinion from this person.

A few examples:

• https://lemmy.today/post/52558180
• https://quokk.au/c/fediverse/p/887450/piefed-flagship-instance-shadowbanning-instances-from-discoverability-other-questionable-upd

Government incompetence and lack security practices have been around waaaaay longer than AI.

What’s this, you say? Does it involve running LM Studio with a GLM-4.7 Flash model? And it only costs the kilowatts for my video card? And it can only go out to the internet if I allow it to?

“AI data center”? Do we actually know it’s a dedicated data center for AI?

You and I are typing a message on a server that’s hosted in a data center.

Gen X here. You want me to pay $60-70 for a game with Denuvo crap on it, littered with microtransactions, and has shit scores on MetaCritic?

Fuck that bullshit!

This whole thread started with:

Five nines means that you need people at their desks in shifts ready to start fixing something the moment there’s a problem

There’s no detecting and fixing something that fast. When you’re talking about less than 5 minute of outage time a year, it basically means you can’t have outages. Which is possible for some, but only for large reliable websites that have the resources to pull that off, and they still don’t always make the mark.

I’m not sure why that simple premise is disagreeable with the OP.

Well, only when they are forced to. The rest of the time, it’s all “here my social security number and credit card and all of my PII”.

Solid journalism from… *reads notes* Yahoo Finance.

No, no website does it. There is no such thing as 100% uptime. If it happens, great, but I can guarantee you that no website even aims for 5 nines of uptime.

Google is the benchmark for website availability and in 2022 they had an outage that lasted an hour, meaning they didn’t meet 4 nines for the year.

In 2022. In the other years, they had 100% uptime.

Also, yes, there are plenty of clients that ask for five-nines. Is it realistic? Probably not. But, they definitely ask.

If you miss your SLO target for the year, then you missed your SLO target. If you’re down for 60 minutes but fine for the other 11 months, 29 days and 23 hours, you still missed your yearly SLO.

I understand how SLO targets work. If somebody is asking for a five-nines as an SLO, they are basically asking for 100% uptime, because there is no such thing as a “five minute outage”, especially not one that is fixable without total automation.

Again, a human hasn’t even gotten paged and out of bed in 5 minutes time.

No, that’s infinite nines, which isn’t possible.

It’s not impossible. Large reliable websites do it all the time. It’s call 100% uptime.

Sure, it’s measured per year, and sometimes they have some outage that breaks the record. But, it is possible to have 100% uptime throughout the year.

Just shout “lalalalala” until it goes away. Great strategy, people!

Five nines means that you need people at their desks in shifts ready to start fixing something the moment there’s a problem

No, it means you don’t have outages. Ever.

Five-nines is something like 7 minutes of downtime throughout the entire year. At best, you might have automated failover systems that require tiny outages. No human involvement, though, unless you’re deal with some major breakage that would have killed the five-nines commitment that year, anyway.

It’s takes a human something like 5-10 minutes just to get out of bed and figure out the situation, anyway.

How have you been able to manage the issue of unreliability with the volumes of data you’re dealing with? Is the kind of data which you’re dealing with less likely to be unreliable since it is of a kind the LLM is more likely to process correctly?

The same way for any other information resource like Wikipedia or some random Reddit post: trust but verify. Always review the code, point out mistakes, call out potential edge cases. Especially with newer thinking models, the hallucinations are minimal. It’s mostly just miscommunication in the request, which you can detect in the Thinking stream, stop, and re-correct. Rubberducking makes you better at communicating ideas in general, and providing enough context for the request is everything.

A lot of it has to do with the type of model you’re using, too, and having a decent global rules file tailored to how you want it to respond. If you don’t like how the model is responding, try out another one. If it’s some repeat mistake it makes, put it in a global rules file, or ask it to make a permanent memory.

Claude Opus does well at work, but is rather expensive for home use. I use Kimi reasoning models in Kagi for searching questions, and Qwen/GLM hybrid models for local use. It takes a bit of setup and tweaking to get the local stuff working, but LLMs are good at knowing how their own models work, so I just had Kimi help me out with some of the harder troubleshooting.