True story: This is why some people "see the light" and also why others desperately tell them not to go towards it.
riskable
joined 3 years ago
In my story, Maizy's Tails, I made it so that souls had to be aged for 1000 years before they could be reincarnated. Otherwise the lingering attachment (which makes souls weightless) won't allow them to enter into a new body.
The 1000 years is just a nice, round figure the gods use as a safe baseline. Some souls might only need 200 years while others might need 950 or so. Best to just place them all into balloons and let them age in batches 👍
To be fair, Trump voting at all is super sketchy.
It's so dumb that they have to reverse engineer this chipset to make it work.
MediaTek, YOU SUCK.
The US is not a theocracy. Conservatives want it to be one—in theory—but they would never agree on which religion would be the one true religion.
You'd think they'd settle on something simple and nebulous like, "Christianity" but the moment they started trying to define that in law the whole concept would fall apart because there's way too many completely incompatible differences between Christian sects. Not to mention the fact that Mormons (and other niche sects) consider themselves to be Christian while huge swaths of people consider them to be anything but.
The best they can ever get away with is what they've got now: Completely unconstitutional (IMHO) exceptions in various laws for "genuinely held religious beliefs."
Remember: The conservatives on the supreme court really do think that if a doctor has a genuine religious belief that someone should die from a treatable condition, they should not be held to account for letting that person die.
I fantasize about one of these justices going to the hospital for an emergency heart condition and having the doctor refuse to treat them because of a truly genuine, deeply-held religious belief that conservatives should just die from such things since they don't believe in medicine or science in general.
Sounds like normal thermal throttling. Give your cooling fins a blast with compressed air. That's more likely to help than anything you can do in software.
Jokes on him: Wolfenstein is more likely.
Apparently he didn't get the memo that the fastest growing religion in the US is "no religion". This is also true for the 2nd generation of immigrants.
While American Muslims have higher retention rates, their kids are also becoming atheist (in the US) at a rapid pace.
In short, he's got nothing to worry about! What's going to happen? Easy: Religion will become a smaller and smaller factor over time no matter who we "let in" 😁👍
I literally said I'm using qwen3.5:122b for coding. I also use GLM-5 but it's slightly slower so I generally stick with qwen.
It's right there, in ollama's library: https://ollama.com/library/qwen3.5:122b
The weights and everything else for it are on Huggingface: https://huggingface.co/Qwen/Qwen3.5-122B-A10B
This is not speculation. That's what I'm actually using nearly every day. It's not as good as Claude Code with Opus 4.6 but it's about 90% of the way there (if you use it right). When GLM-5 came out that's when I cancelled my Claude subscription and just stuck with Ollama Cloud.
I can use gpt-oss:20b on my GPU (4060 Ti 16GB)—and it works well—but for $20/month, the ability to use qwen3.5 and GLM-5 are better options.
I still use my GPU for (serious) image generation though. Using ChatGPT (DALL-E) or Gemini (Nano Banana) are OK for one-offs but they're slow AF compared to FLUX 2 and qwen's image models running locally. I can give it a prompt and generate 32 images in no time, pick the best one, then iterate from there (using some sophisticated ComfyUI setups). The end result is a superior image than what you'd get from Big AI.
I just added up how much it would cost (in theory—assuming everything is in-stock and ready to ship) to build out a data center capable of training something like qwen3.5:122b from scratch in a few months: $66M. That's how much it would cost for 128 Nvidia B200 nodes (they have 8 GPUs each), infiniband networking, all-flash storage (SSDs), and 20 racks (the hardware).
If OpenAI went bankrupt, that would result in a glut of such hardware which would flood the market, so the cost would probably drop by 40-60%.
Right now, hardware like that is all being bought up and monopolized by Big AI. This has resulted in prices going up for all these things. In a normal market, it would not cost this much! Furthermore, the reason why Big AI is spending sooooo much fucking money on data centers is because they're imagining demand. It's not for training. Not anymore. They're assuming they're going to reach AGI any day now and when they do, they'll need all that hardware to be the world's "virtual employee" provider.
BTW: Anthropic has a different problem than the others with AGI dreams... Claude (for coding) is in such high demand that their biggest cost is inference. They can't build out hardware fast enough to meet the demand (inference, specifically). For every dollar they make, they're spending a dollar to build out infrastructure. Presumably—some day—they'll actually be able to meet demand with what they've got and on that day they'll basically be printing money. Assuming they can outrun their debts, of course.
I personally love glm-5 and qwen3.5, specifically: https://ollama.com/library/qwen3.5:122b
I've used them both for coding and they work really well (way better than you'd think). They're also perfectly capable of the usual LLM chat stuff (e.g. check my grammar) but all the models (even older, smaller ones) are capable of that stuff these days.
For a treat: Have someone show you using some of these models to search the web! It's amazing. You don't see ads, you don't have to comb through 12 pages of search results, and they read the pages that moment (not cached) to give you summaries of the content. So when you click the link to go to the content you know it's the thing you were looking for. They're not using a local index of the Internet, they're searching on your behalf using whatever search engines you configured. It's waaaaay better than ChatGPT (which uses Bing behind the scenes whether you like it or not) or Gemini (which uses Google, obviously). The (self-hosted) LLM will literally be running curl for you on Google, DuckDuckGo, Bing, or whatever TF else you want (simultaneously) then reading each of the search results and using your prompt to figure out what the most relevant results are. It's sooooo nice!
FYI: Ollama.com's library page is actually a great resource for finding info on all the models that can be self-hosted: https://ollama.com/library
Yes. That's actually how that works.
If no one can identify you and you have the physical symptoms of amnesia (which can be detected... Sorry fakers!) then you get a new, legal identity.