If you are bound to consumer-obtainable hardware, Qwen3.8-Flash-Next. If you are bound to consumer-accessible hardware, Qwen3.8-27b today and Qwen4-27b when it releases next week (Qwen models consistently punch far above their parameter size).
Flash is runnable in various gpu + cpu offload configurations. Not saying that 27b is bad (far from it, especially if they get n-grams in it with... hopefully today's release), saying that flash is runnable at decent speeds on way less than you'd imagine.
As for opus... I'm the weirdo that refuses to get an ant sub.
I wouldn't say it's weird not to subscribe to Anthropic at all. We're in a thread specifically describing a good reason not to!
Any money out of my pocket for third-party AI would either go to highly subsidized services like Google's (I've gotten over $500 in API calls on a $20 subscription I paid $0 for as a student, which also includes GCP credits, CoLab credits, cloud storage, etc.), and once they reign that in and start pricing/offering realistically (Antigravity has been noticably chopped down already since I began using it) I'll switch to API calls from Chinese companies.
At home I have cancelled both OAI and Anthropic subscriptions since some time and now only have a Mistral subscription and credits on openrouter. I use Opencode.
At work someone else is paying so we all use Claude Code. It works great but I want to set myself up to have alternatives the day the tech oligarchs decide to tighten the screws.
Open models are perfectly fine to use, but at the moment of course much more expensive than the claude subscription if you do lots of work. The Mistral subscription at $20/mo includes API credits of $20 though.
Same here with GLM 5.3 as sort of a midpoint between them.
GLM has the ~same number of weights as DeepSeek 4.1 but it handles difficult tasks better than DeepSeek (and worse than Kimi). Its price is about halfway between DeepSeek and K3. Most of the popular models are pretty much you-get-what-you-pay-for.
No, their report mentions that despite intentionally removing dual-use cybersecurity training data, K3.1 is better than K3 at cybersecurity tasks (both defensive and offensive), because it's just a lot better at coding in general. It's just not as good at cyber as the unrestricted version of K3.1 that they trained initially and didn't release.
For a bit more physical space, used laptops have the same and more.
I run a headless laptop as a server and it works great, and just sips power. It didn't have Ethernet built-in, so I just replaced the WiFi card with one and it worked just fine (and also let me panel mount the connector for a DIY 1U enclosure).
While I did not get it myself, I recently saw a business laptop I was hawking with 8GB of RAM and a relatively modern CPU sell for less than $50 on eBay. All that was wrong with it was a bad back panel; just some broken plastic which I wouldn't have been using regardless.
I could see myself running a whole rack of headless laptops in the future.
It's more likely than me buying a single new Pi at these prices.
The interest isn't artificial; A lot of people (especially me) are just highly interested in this tech. I myself am working on a 2D variant meant for low-bandwidth environments to replace low-res pixel grid images.
You personally may not feel it, but there is a real, genuine interest, especially given how good it is at replicating photorealistic environments in realtime, relatively cheap (in comparison to NeRF). It's awesome.
Also, what would the ulterior motive be for someone to 'pump' this? There isn't a financial or clout-based motivation to do so. It's just interesting tech, which I believe we are all at least partly here for.
Even if you take it down, you can just torrent it.
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