Yeah depends on the tracker some just credit you for seeding at all which helps people like you with bad upload.

Search lists in qbit are how most people manage.

I personally use torrentleech which is a private tracker but has basically everything and super permissive rules. Very very easy to maintain ratio and to also get invited and started. I have 4.8TB of upload credit. Searching in qbittorrent or manually across public sites took too long for me when i usually want to find a higher res or higher bitrate version of something. I also always saturate my download speed even with only a few seeds since they’re almost always seedboxes.

Also american emissions regulations incentivized making them huge… efficiency per wheelbase area. Guess which one is easier to improve and market?

Indeed. Each roach is milked 1 (one) time

Artiodactyla suidae à sabots fendus, sont maintes traditions abrahamiques proscrivent la consommation, manifeste ici, avec une allégresse non dissimulée, son plus vif assentiment.

Hot water in a filthy sink. Nothing thaws frozen ground beef faster.

And the french pigs don’t pronounce 70% of the letters in Ouinque, just like the rest of the French language.

The best part about the fall of the american empire is their news will eventually become irrelevant. British news was globally important the same as the US for a long time until their empire got old tired and bankrupt.

Begin existing somehow because i wasn’t born for about a decade

Every millenial ever: human names for pets, pet names for humans.

Dog:

Dave

Their literal son, fruit of their loins; their flesh and blood:

Rett

Fun fact: onions keep better than limes or lemons and have enough vitamin C in a couple slices that navies used them to prevent scurvy. You had to eat it raw though, like we all are doing with this post. If you cook it that destroys the vitamin C.

The officers got citrus. Also a little bit of lime juice in sailors grog too but the lion’s share of vitamin C was eating raw veggies like that on voyages.

I’m in the same boat and i rent the place. Both bedrooms are on the same breaker and I’m upgrading my GPU (215W to 415W) and might get a Mi50 as a second card in my desktop for local LLMs.

At full power on both machines i’m already close to tripping the breaker. Witj these new card(s) i don’t think it’ll fly. My server uses around 700W at max, 450W idle if it’s nice and cool in the spare room. Mostly due to loooots of spinning rust. I’m a datahoarder and have a full 18 disk 3.5" JBOD, and 24/25 drives in my 2.5" JBOD.

I’ll figure something out I guess…

Like wire tapping enron 3 months pre meltdown

If anything rust is the better choice for LLMs since errors are plain english, and the compiler and borrow checker force complete code.

This is where things seem to be headed. Local models can be pretrained and crammed full of your work’s information, and opencode and other harnesses can pick the right model for the task ahead of time. I could be wrong but i’ve been predicting a drop in frontier model credit usage especially if they hike token prices again. People will only use it if they have to especially if you can find a way to task a local model with a lot of the grunt work.

Here’s a video on it

“Yes, i was wrong. You don’t actually need to remove the engine to get the battery out. Let’s put the engine back in and i’ll show you how to remove the battery”

Although i wouldn’t blame AI for a mistake like this… by now blindly trusting them is asking for trouble…

For those that do, All quiet on the frontal lobe

Qwen3.8-flash-next is making waves since its near frontier or frontier (according to some i havent used it) that can be run on an ancient 8GB video card (12GB or more is recommended. 16GB is best.) with around 32GB of RAM using Strata.

Strata

It’s a mixture of experts MoE model, so while it’s around 66GB (depending on which quantization you decide to run) you’re only really using about 6B parameters per token processed, meaning the VRAM requirements are a lot lower.

I personally don’t see the value proposition in paying $4/1M tokens when i can generate around 30tok/s on 500W of power. I pay ¢13/kWh so to generate 1M output tokens takes me 9.25 hours and costs $0.60.

I’m also running an ancient video card and have a new one in the mail. If i got 200 tok/s even at higher power use i’m still a fraction of the cost of paying for API access and I want that GPU for other things regardless.

I feel lile medium and large businesses have a strong incentive to rent or buy inference using open weight models for a fraction the cost of paying OpenAI or Anthropic. Especially if you can pre load them with everything about your org to make them better suited for internal use.

The vast majority of uses can use a open weight locally run model. I think you would only want to pay for frontier models for really complex tasks with lots of steps, and even then there are usually ways to be smart about how you task agents with work to get better output and use less money.

Also the financial ponzi schemes break all at once pissing off old people who vote in mecha-hitler to enslave everyone under 40 so their house prices and pensions stay high.

And then some day there will be recarcinization where a species regrets being a shrimp and will become crab, destroyer of detritus, once again.

Multiple species have evolved into crab body plans, and only a subset of “crabs” are actually true crabs. For example coconut crabs evolved from a hermit crab ancestor. King crabs too.

The tendency to adopt the crab meta for your species is called carcinization.