Open what?
Qwen 3.8
11–20 of 793 posts
Re: Qwen 3.8
#12Go China, screw America*
*within the scope of open models only
Re: Qwen 3.8
#13I assume that this announcement has been prompted by that of Moonshot AI, which has just announced a 2.8T parameter open-weights LLM, Kimi K3, to be published on Huggingface by 27 July. Now the response of Alibaba is that they will also publish soon a big open weights LLM, the 2.4T parameter Qwen 3.8. I wonder if Alibaba has always planned to make this big LLM open weights, or they have chosen to do this now, to bett…
It's hard to say what their motivation is. The Chinese firms seem to be working hard to commoditize intelligence which may be the most effective way to debase American frontier labs. And yeah: it also happens to be really good for humanity.
Humanity is a bit of a stretch, and to be seen over time, not that I'm saying it won't happen; let's get some hubris here.
Re: Qwen 3.8
#14The "second only to Fable 5" comment is pretty telling here. I remember early on when a lot of naysayers were saying that Fable was barely an improvement on Opus. Like it or not, Anthropic have a genuine moat right now with that model, provided they continue to allow people to use it. It will be genuinely exciting when an open model is able to beat it.
Re: Qwen 3.8
#15Just imagine Anthropic making Opus open-weights now for the sake of trolling everyone. Wouldn't surprise me at this point xD
That OpenAI releases Sol as downloadable weights feels way more likely than Anthropic releasing even the tiniest of models for download.
Re: Qwen 3.8
#16The few tests I ran were by no means comprehensive, but while kimi felt like the real deal qwen seems a bit of a benchmark princess.
Re: Qwen 3.8
#17> With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. That's a massive model! The shift from "value" models to "intelligent, huge and slow" models coming from China is an interesting change in strategy. My main issue with GLM 5.2 and Kimi 3 is that they're extremely token…
The shift isn't new. Kimi K2, a 1T model came out July last year. I am happy that more labs are following the trend as its important for competitive open models to exist.
And DeepSeek has been making huge progress on efficiency, and publishing about, so they came with a 1.6T model that is both fast and cheap to run.
Re: Qwen 3.8
#18> With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. That's a massive model! The shift from "value" models to "intelligent, huge and slow" models coming from China is an interesting change in strategy. My main issue with GLM 5.2 and Kimi 3 is that they're extremely token…
The shift isn't new. Kimi K2, a 1T model came out July last year. I am happy that more labs are following the trend as its important for competitive open models to exist.
Also DeepSeek R1 was announced 1.5 years ago with ~0.7T parameters, which was a huge model back then.
Re: Qwen 3.8
#19Bring it on! Hoping that they release smaller sizes of Qwen3.8. I use the 35B MoE and 27B dense models locally and most of the time I don’t need to reach out to Claude. Extremely useful specially when requests include sensitive and/or personal data
Re: Qwen 3.8
#20Earlier quoted context omitted.
It's hard to say what their motivation is. The Chinese firms seem to be working hard to commoditize intelligence which may be the most effective way to debase American frontier labs. And yeah: it also happens to be really good for humanity.
Humanity is a bit of a stretch, and to be seen over time, not that I'm saying it won't happen; let's get some hubris here.
I think it is pretty safe to say at this point that having large open LLM models available is better for humanity than them remaining proprietary. Echoing Linus Torvalds' recent comments, AI is genuinely useful right now, and is here to stay in one form or another.