More fawning over Chinese models without any mention of data privacy, or how this AI may someday be used to undermine US national or economic security. HN is hopelessly compromised by anti-American sentiment.
DeepSeek v4
821–830 of 1001 posts
Re: DeepSeek v4
#822Objective, detailed benchmark results at https://gertlabs.com Early takeaways: from this release, DeepSeek V4 Flash is the model to pay attention to here. It's cheap, effective, and REALLY fast. The Pro model is slow, not much better in coding reasoning so far when it works, and honestly too unreliable and rate limited to be of much use, currently. Hopefully that improves as new providers host the model. Flash is wor…
I'm particularly interested in it being REALLY fast - do you have any rough tok/s numbers for the flash model? I'm excited for unsloth to drop some quants that I can try and run locally, but really curious how it's been performing speed wise. In general I actually over-index on speed over intelligence. I'd rather a model make mistakes quickly and correct in a follow-up than take forever to get a slightly better initial result.
Re: DeepSeek v4
#823Objective, detailed benchmark results at https://gertlabs.com Early takeaways: from this release, DeepSeek V4 Flash is the model to pay attention to here. It's cheap, effective, and REALLY fast. The Pro model is slow, not much better in coding reasoning so far when it works, and honestly too unreliable and rate limited to be of much use, currently. Hopefully that improves as new providers host the model. Flash is wor…
Interesting that you rate Claude Opus 4.6 lower than 4.5 and 4.7, while community consensus puts it on top.
Re: DeepSeek v4
#824I wonder how long it will take China to respond to the release of Mythos and what their response will look like.
Re: DeepSeek v4
#825Objective, detailed benchmark results at https://gertlabs.com Early takeaways: from this release, DeepSeek V4 Flash is the model to pay attention to here. It's cheap, effective, and REALLY fast. The Pro model is slow, not much better in coding reasoning so far when it works, and honestly too unreliable and rate limited to be of much use, currently. Hopefully that improves as new providers host the model. Flash is wor…
I'm particularly interested in it being REALLY fast - do you have any rough tok/s numbers for the flash model? I'm excited for unsloth to drop some quants that I can try and run locally, but really curious how it's been performing speed wise. In general I actually over-index on speed over intelligence. I'd rather a model make mistakes quickly and correct in a follow-up than take forever to get a slightly better initi…
Take a look at the Time column in https://gertlabs.com/?mode=oneshot_coding -- this is the total time to complete a solution for a reasonably complex problem end-to-end (you would have to divide by avg submission size to estimate tok/s). It's fast in the sense that most of the smart, recent Chinese releases are quite slow, especially the DeepSeek Pro variant. Opus 4.7 is also quite fast.
If pure speed is most important for your use case, GPT-5.3 Chat is the fastest model we've tested and it's still reasonably smart. Not meant for agentic tool usage / long context, though.
So it might be more useful for business applications or non-engineering usage where you don't need exceptional intelligence, but it's useful to get fast, cheap responses.
Re: DeepSeek v4
#826Earlier quoted context omitted.
This model is dead on arrival. It’s a burned ccp money at this point . They will not be able to serve it until H2 2026 . Even at this point if you look at opus 4.7 and gpt 5.5 this model is just mediocre. By the time they can serve it nobody will care at all.
I think you missed the bigger picture here. It’s that China has their own stack now, soon others will follow. It’s not about putting up the highest numbers, it’s about putting up the highest ROI. To them, this is it. Qwen too but being able to compete with today’s models means they are closer to competing with tomorrow’s.
At this scale, it's purely quality. The better the model, the faster the advancements. If using a model half as smart as the best made us half as productive, people would pretty much all be using the current quantized models that can run on a decent laptop. The difference between Opus xHigh and Gemma4 is very different (at least in my job).
Re: DeepSeek v4
#827Open 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…
DeepSeek is planning to use Huawei extensively for inference
“Due to constraints in high-end compute capacity, the current service capacity for Pro is very limited. After the 950 supernodes are launched at scale in the second half of this year, the price of Pro is expected to be reduced significantly.”
Re: DeepSeek v4
#828The 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
You had a chance with Bytedance. It didn't sound too great though, there was a very hard glass ceiling for all non-chinese according to Blind.
Re: DeepSeek v4
#829The 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…
These have been my predictions since at least the first release of DeepSeek-R1 over a year ago: 1. There will be no moat where one company "owns" AI. China will see to that. It's simply too much in their national interest for that not to happen; 2. This is incredibly bad news for OpenAI who have raised so much money with so (comparabley( little revenue that the only way they can get a return on that is to "win" and b…
Espionage has changed wildly, and the ease of taking out key people in "accidents" has dramatically increased.
Re: DeepSeek v4
#830Open 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.
In the US, yes, but Huawei has been gaining ground selling its SuperPod/Ascend turnkey solutions internationally, with some major recent wins in Thailand, Brazil, Egypt and Morocco.