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DeepSeek v4

api-docs.deepseek.com

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Re: DeepSeek v4

#741

Post by resters »

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…

Just looked into buying some Chinese GPUs and it turns out it's not easy or even legal! Big WTF moment.

Re: DeepSeek v4

#743

Post by hodgehog11 »

solenoid0937 wrote: post #723
ozgune wrote: post #510

Earlier quoted context omitted.

I reviewed how DeepSeek V4-Pro, Kimi 2.6, Opus 4.6, and Opus 4.7 across the same AI benchmarks. All results are for Max editions, except for Kimi. Summary: Opus 4.6 forms the baseline all three are trying to beat. DeepSeek V4-Pro roughly matches it across the board, Kimi K2.6 edges it on agentic/coding benchmarks, and Opus 4.7 surpasses it on nearly everything except web search. DeepSeek V4-Pro Max shines in competit…

I feel like people suck at promoting Opus. Baseline, it's pretty on par with GPT 5.5. But if you prompt it well - give it the reasoning behind why you're asking it to do something - it pulls far ahead.

That's fine for procedural tasks, and I understand its value there. But these particular tasks I'm referring to occur on the front lines of research. You can't expect the prompts to be incredibly detailed, since those details are the whole challenge of the problem. I think there is value in having models that are capable of making really good preliminary insights to help guide the research.

Re: DeepSeek v4

#744

Post by jen20 »

kccqzy wrote: post #670
throwa356262 wrote: post #217

Seriously, why can't huge companies like OpenAI and Google produce documentation that is half this good?? https://api-docs.deepseek.com/guides/thinking_mode No BS, just a concise description of exactly what I need to write my own agent.

I spent only two minutes reading their documentation and it’s clear no one did any proofreading and it’s full of mistakes made by non-native speakers. Example: the second sentence on the first page says “softwares” but “software” is a mass noun that cannot be pluralized. Example: the third page about tokens has some zipped code to “calculate the token usage for your intput/output” and obviously “intput” should be “in…

> Example: the second sentence on the first page says “softwares” but “software” is a mass noun that cannot be pluralized.

I constantly see and hear this mistake from actual humans too.

It's fairly ironic that your own comment contains run-on sentences, speculative claims and phrasing peculiarities like "could have even" instead of "could even have". Perhaps you are less sensitive to this than you think!

Re: DeepSeek v4

#745

Post by hodgehog11 »

PhilippGille wrote: post #699
hodgehog11 wrote: post #304

There are quite a few comments here about benchmark and coding performance. I would like to offer some opinions regarding its capacity for mathematics problems in an active research setting. I have a collection of novel probability and statistics problems at the masters and PhD level with varying degrees of feasibility. My test suite involves running these problems through first (often with about 2-6 papers for conte…

When you say "Gemini", which exact model do you mean? You know there are several and they vary a lot in how capable they are? Pro 3.1 Preview, 2.5 Pro (their latest non-preview pro model), Flash 3 Preview, ... Same with GPT-5: Latest 5.5, prior 5.4, or actually the original 5 (.0)? You can't talk about model performance without specifying the exact model.

My apologies, I thought it would be implicit that I am using the top-tier model of the time given the challenge of the tasks. GPT-5.5 was too new in this top comment (although I did test it a bit in a comment below), so I was using GPT-5.4. Gemini is Pro 3.1 Preview.

Re: DeepSeek v4

#746

Post by gordonhart »

copypaper wrote: post #735
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.

Let's also not forget SoTA models stole from us.

True, and they're being tried in a federal court of law for it. NYT v. OpenAI is still very much alive, these things just take a while. Can the same be said about DeepSeek or any other open-source model provider performing distillation?

Re: DeepSeek v4

#748

Post by stronglikedan »

ifwinterco wrote: post #278
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…

As a Brit I'm here for it to be honest, I'm tired of America with everything that's going on. China is not perfect but a bit of competition is healthy and needed

> I'm tired of America with everything that's going on.

Yeah, me too. All that pesky saving the world stuff that we do on the regular is so exhausting sometimes.

Re: DeepSeek v4

#749

Post by gzer0 »

Congratulations on the release to the DeepSeek team. An interesting note on the use of CSA and HCA: CSA provides higher-resolution, query-selected memory over 4-token compressed blocks, while HCA provides very low-resolution dense global memory over 128-token blocks. That could be a plausible reason to interleave them: CSA alone risks missing information if the indexer fails, while HCA alone is too lossy for precise retrieval. Still reading through the release, as usual, always appreciate the attention to detail in the technical papers.

Re: DeepSeek v4

#750

Post by OsrsNeedsf2P »

resters wrote: post #741
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…

Just looked into buying some Chinese GPUs and it turns out it's not easy or even legal! Big WTF moment.

Same thing for Chinese EVs. America can't compete in the free market anymore
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