Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

DeepSeek v4

api-docs.deepseek.com

Post reply on HN
Print view View original

901–910 of 1001 posts

Re: DeepSeek v4

#901

Post by 8note »

0xDEAFBEAD wrote: post #581
falkenstein wrote: post #380

Earlier quoted context omitted.

america is a continent. let’s take back our vocabulary (fellow european here). the little orange man shows very well what i mean when he started giving names to the gulf of mexico.

"In English, North America is its own continent as is South America. The two can be collectively labeled the Americas or the Western hemisphere. Canadians frequently refer to themselves as North Americans and never as Americans. To insist this change is to demand the entire world’s lingua franca redefine words and thereby cause mass confusion for its speakers simply because doing so would be consistent with an arbitr…

south americans is how north americans refer to south americans though.

south americans just call themselves americans.

there arent all that many canadians; whats the need to index so hard on what we think?

Re: DeepSeek v4

#902

Post by 8note »

so why is a model release just a politics thread?

is this not cool tech, available for use?

i look forward to seeing what gets made on top of deepseek 4, more than what it means for US politics.

especially with how open deepseek is with its advancements, im excited to see how they get applied into sota western models

Re: DeepSeek v4

#903

Post by 8note »

SquareWheel wrote: post #499
khalic wrote: post #473

Earlier quoted context omitted.

Open weight and open source are not the same

This is a pretty banal comment at this point. Open source is the term used in the LLM community. It's common and understood. Nobody is going to release petabytes of copyrighted training data, so the distinction between open source vs weights is a rather pointless one.

its still a pointed one.

"open source" keeps being redefined by people with wealth and power to restrict our computing rights.

eventually its just gonna be "proprietary microsoft code that runs on microsoft servers, but you can see a portion of the results"

Re: DeepSeek v4

#904

Post by nsoonhui »

nabakin wrote: post #804
jari_mustonen wrote: post #239

Open Source as it gets in this space, top notch developer documentation, and prices insanely low, while delivering frontier model capabilities. So basically, this is from hackers to hackers. Loving it! Also, note that there's zero CUDA dependency. It runs entirely on Huawei chips. In other words, Chinese ecosystem has delivered a complete AI stack. Like it or not, that's a big news. But what's there not to like when…

> Also, note that there's zero CUDA dependency. It runs entirely on Huawei chips. That is a huge claim to make with no evidence. I researched what you said, and I have found no statement to that effect in their paper[0], on huggingface[1], twitter[2], WeChat[3], or in their news release[4]. They only mention as a footnote in only the Chinese version of their news release that they plan to reduce inference costs with…

I said the same thing as you and I got summarily downvoted (https://news.ycombinator.com/item?id=47888227).

That HN is quick to upvote an unsubstantiated comment ( the grandparent one, because it aligns with the anti US bias? ) and downvote fact finding one doesn't bode too well for the community as a whole. I have seen enough how polticial ideology colors everything in my home country( Malaysia), and the decline of the country is palpable, and I don't expect to find such a thing here. We are supposed to be impassioned and rational, right ?

Render to Jesus what's due to him, ditto for Caeser.

Re: DeepSeek v4

#905

Post by nabakin »

nsoonhui wrote: post #904
nabakin wrote: post #804

Earlier quoted context omitted.

> Also, note that there's zero CUDA dependency. It runs entirely on Huawei chips. That is a huge claim to make with no evidence. I researched what you said, and I have found no statement to that effect in their paper[0], on huggingface[1], twitter[2], WeChat[3], or in their news release[4]. They only mention as a footnote in only the Chinese version of their news release that they plan to reduce inference costs with…

I said the same thing as you and I got summarily downvoted ( https://news.ycombinator.com/item?id=47888227 ). That HN is quick to upvote an unsubstantiated comment ( the grandparent one, because it aligns with the anti US bias? ) and downvote fact finding one doesn't bode too well for the community as a whole. I have seen enough how polticial ideology colors everything in my home country( Malaysia), and the decline o…

Probably because you said you used DeepSeek. People don't want to see AI in the comments and don't trust AI responses.

Re: DeepSeek v4

#906

Post by slopinthebag »

LZ_Khan wrote: post #729

It's easy to praise Deepseek for its results and generosity -- how they can keep up with frontier labs on Huawei chips for a fraction of the cost! -- but let's not forget a big part of their toolkit is heavy distillation of SoTA.

Who cares? Also Anthropic does the same thing - if you ask it who it is in Chinese it says it's DeepSeek LOL

https://x.com/teortaxesTex/status/2026130112685416881

Re: DeepSeek v4

#907

Post by giwook »

hodgehog11 wrote: post #461
lifty wrote: post #341

Earlier quoted context omitted.

Wondering how gpt 5.5 is doing in your test. Happy to hear that DeepSeek has good performance in your test, because my experience seems to correlate with yours, for the coding problems I am working on. Claude doesn't seem to be so good if you stray away from writing http handlers (the modern web app stack in its various incarnations).

Very cool to hear there is agreement with (probably quite challenging?) coding problems as well. Just ran a couple of them through GPT 5.5, but this is a single attempt, so take any of this with a grain of salt. I'm on the Plus tier with memory off so each chat should have no memory of any other attempt (same goes for other models too). It seems to be getting more of the impressive insights that Gemini got and doing…

Doesn't the Plus tier not have access to their best (Pro) model?

Re: DeepSeek v4

#908

Post by shimman »

AndrewKemendo wrote: post #732
chvid wrote: post #322

The incredible arrogance and hybris of the American initiated tech war - it is just a beautiful thing to see it slowly fall apart. The US-China contest aside - it is in the application layer llms will show their value. There the field, with llm commoditization and no clear monopolies, is wide open. There was a point in time where it looked like llms would the domain of a single well guarded monopoly - that would have…

I just wished more Chinese companies would start setting up shop outside of China so that we could all work for them I’ve talked to the folks over at Unitree multiple times and they say “yeah we’ll be hiring overseas soon” and then they never do and they only have five openings in China

They are, plenty of BYD factoring being built throughout South America and Southeast Asia as a condition of opening trade. Same is starting to happen in Europe too.

You just aren't going to this too much in the US or any countries fully aligned with the US for fear of competition. It doesn't benefit anyone really. It's not like I get richer when Ford says more vehicles or Meta makes more teenagers suicidal, so why should we care? It'll hurt the country in the long run too.

Re: DeepSeek v4

#909

Post by whatreason »

orbital-decay wrote: post #243

>we implement end-to-end, bitwise batch-invariant, and deterministic kernels with minimal performance overhead Pretty cool, I think they're the first to guarantee determinism with the fixed seed or at the temperature 0. Google came close but never guaranteed it AFAIK. DeepSeek show their roots - it may not strictly be a SotA model, but there's a ton of low-level optimizations nobody else pays attention to.

There have been others for sure, but I'm not sure who was first https://vllm-website-pdzeaspbm-inferact-inc.vercel.app/blog/...

Re: DeepSeek v4

#910

Post by Grp1 »

lucrbvi wrote: post #485
Grp1 wrote: post #484

DeepSeek’s docs say V4 has a 1M context length. Is that actually usable in practice, or just the model/API limit? Codex shows ~258k for me and Claude Code often shows ~200k, so I’m curious how DeepSeek is exposing such a large window.

They have added a lot of optimization focussing on the KV-cache, so they can have a much larger window without eating all the VRAM. The 1M window might be usable, but it will probably underperform against a smaller window of course.

[dead]
Post reply on HN