I wish they did more smaller models. Kimi Linear doesn't really count, it was more of a proof of concept thing.

Comments URL: https://news.ycombinator.com/item?id=46592363

Points: 6

# Comments: 2

Small nit: I think you should make it more clear in the docs (if not in the landing page) that one can just use any key with the ssh command the very first time and it automatically gets registered. Also on the web UI one should have the ability to add the ssh keys. I logged into the web UI first, and was a bit confused.

I think the pricing is alright for the resource and remote development features, though might be a bit much if someone doesn't need higher level of resources for deploying something that's mostly already developed.

Anyway, this reminds me of a product called Okteto that had similar UX. They were focused on leveraging k8s for declarative deployment. But for some reason they suspended their managed cloud/SaaS offering for individual/non-enterprise clients, I wonder if it was because they couldn't make the pricing work. Hope that doesn't happen here.

But I suppose the bigger goal remains improving their language model, and this was an experimentation born from that. These works are symbiotic; the original DeepSeekMath resulted in GRPO, which eventually formed the backbone of their R1 model: https://arxiv.org/abs/2402.03300

It's just that "improvement" as a matter of public consensus that everyone can agree on to elect the next blank slate has been to impossible to settle on. But the counterculture here broadly might be extreme reluctance to inconvenience even a minority of existing users, in pursuit of market share/growth.

I had used urxvt forever before and the simple solution that works (even for ssh e.g.) is to ring the terminal bell, and urxvt just sets the window urgency hint upon that. I just do that in shell prompt unconditionally because if it's triggered in a focused window, then nothing happens. But if it's from a different workspace, I get this nice visual cue in my top bar for free.

But features like setting urgency isn't available in wezterm (understandable, as it's not a cross-platform thing). I could patch that in the source, but the Emacser in me chose to do something more unholy. By default Lua is started in safe mode, which means loading shared C module is forbidden. I disabled that, and now use a bunch of missing stuff written in Rust and Zig interfaced with cffi. Don't recall ever having a crash so I am surprised by some of the other comments.

I will say that though, it's probably not rational to be okay with blindly running some opaque binary from a website, but then flip out when it comes to running an install script from the same people and domain behind the same software. At least from security PoV I don't see how there should be any difference, but it's true that install scripts can be opinionated and litter your system by putting files in unwanted places so nevertheless there are strong arguments outside of security.

What exactly is Huawei's flagship series anyway? Because their PanGu line is open-weight, but Huawei is as of yet not in the LLM making business, their models are only meant to signal that it's possible to do training and inference on their hardware, that's all. No one actually uses those models.

- https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Thinking

- https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct

Comments URL: https://news.ycombinator.com/item?id=45352672

Points: 434

# Comments: 160

https://i.postimg.cc/6tT3m5mL/screen.png

Note I am using direct API to avoid triggering separate guardrail models typically operating in front of website front-ends.

As an aside the website you used in your original comment:

> [2] Used this link https://www.deepseekv3.net/en/chat

This is not the official DeepSeek website. Probably one of the many shady third-party sites riding on DeepSeek name for SEO, who knows what they are running. In this case it doesn't matter, because I already reproduced your prompt with a US based inference provider directly hosting DeepSeek weights, but still worth noting for methodology.

(also to a sceptic screenshots shouldn't be enough since they are easily doctored nowadays, but I don't believe these refusals should be surprising in the least to anyone with passing familiarity with these LLMs)

---

Obviously sabotage is a whole another can of worm as opposed to mere refusal, something that this article glossed over without showing their prompts. So, without much to go on, it's hard for me to take this seriously. We know garbage in context can degrade performance, even simple typos can[1]. Besides LLMs at their present state of capabilities are barely intelligent enough to soundly do any serious task, it stretches my disbelief that they would be able to actually sabotage to any reasonable degree of sophistication - that said I look forward to more serious research on this matter.

[1] https://arxiv.org/abs/2411.05345v1

I did a "s/Falun Gong/Hamas/" in your prompt and got the same refusal in GPT-5, GPT-OSS-120B, Claude Sonnet 4, Gemini-2.5-Pro as well as in DeepSeek V3.1. And that's completely within my expectation, probably everyone else's too considering no one is writing that article.

Goes without saying I am not drawing any parallel between the aforementioned entities, beyond that they are illegal in the jurisdiction where the model creators operate - which as an explanation for refusal is fairly straightforward. So we might need to first talk about why that explanation is adequate for everyone else but not for a company operating in China.

I also believe that buffer as an abstraction strictly makes many harder things easier, to the point I often wonder about creating a native library based on elisp buffer manipulation APIs alone that could be embedded in other runtimes instead. So the without touching buffer is a premise/constraint I don't quite understand to begin with.

[1] https://github.com/emacs-mirror/emacs/blob/master/lisp/progm...

Yes that I can totally believe. Standard corporation behaviour (Chinese or otherwise).

I do think DeepSeek would be an exception to this though. But they lack diversity in focus (not even multimodal yet).