Terrasque

“Better shoot some blacks to avenge it”

Whoa, this isn’t wood shop class?

Since I already use ZFS for my data storage, I just created a private dataset for sensitive data. I also have my services split based on if it’s sensitive or not, so the non sensitive stuff comes up automatically and the sensitive stuff waits for me to log in and unlock the dataset.

Yep, it started that way.

It’s the TSA of efficiency

I have a feeling whoever is tasked with that will be some kind of variant of this

The Yen Buddhists are the richest religious sect in the universe. They hold that the accumulation of money is a great evil and a burden to the soul. They therefore, regardless of personal hazard, see it as their unpleasant duty to acquire as much as possible in order to reduce the risk to innocent people.

But scary name!

And then it doesn’t work on one VM and it takes you three days to figure out that VM had a slightly different version of a library and that makes the app segfault.

Well, the people wanted this

Banks hate this simple trick

Blowing up? Seen conservative discussion areas? Their godking is not only one of the working class now, but he owned all the democrats and made Harris look like a fool. He’s a master troll doing 4d chess!

It’s a watch that says you have no taste.

They know their target demographic

No, all sizes of llama 3.1 should be able to handle the same size context. The difference would be in the “smarts” of the model. Bigger models are better at reading between the lines and higher level understanding and reasoning.

Wow, that’s an old model. Great that it works for you, but have you tried some more modern ones? They’re generally considered a lot more capable at the same size

Increase context length, probably enable flash attention in ollama too. Llama3.1 support up to 128k context length, for example. That’s in tokens and a token is on average a bit under 4 letters.

Note that higher context length requires more ram and it’s slower, so you ideally want to find a sweet spot for your use and hardware. Flash attention makes this more efficient

Oh, and the model needs to have been trained at larger contexts, otherwise it tends to handle it poorly. So you should check what max length the model you want to use was trained to handle

Like when under Arab spring the Egyptian politicians tried to get the military involved to stop the protests, and got back (paraphrased)

“Our primary job is to protect the Egyptian people from violence. You really don’t want us involved in this”

I still use http a lot for internal stuff running in my own network. There’s no spying there… I hope … And ssl for local network only services is a total pita.

So I really hope browsers won’t adapt https only

But even if you use GoMommy extra super duper triple snake oil security checked ssl cert, if I trick LetsEncrypt to sign a key for that domain I still have a valid cert for your site.

I mean, I totally agree with you. But that also kinda ignores all the useful things a dog can be trained to do.