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DeepSeek v4

api-docs.deepseek.com

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Re: DeepSeek v4

#501
post #493

Earlier quoted context omitted.

Still not sure how I feel about China of all places to control the only alternative AI stack, but I guess it's better than leaving everything to the US alone. If China ever feels emboldened enough to go for Taiwan and the US descends into complete chaos, the rest of the world running on AI will be at the mercy of authoritarian regimes. At the very least you can be sure noone is in this for the good of the people anym…

You’re right… but that’s on the rest of the world not getting their shit together. It’s this sort of example (and not properly supporting Ukraine, and not agreeing how to collectively deal with migrants, and not agreeing how to coordinate defence, and myriad other examples) that highlights what a pointless mess the EU is. It’s not a unified block - it’s 27 self-interested entities squabbling and playing petty power g…

The EU pouring even more billions in this would just have meant pouring billions on US tech. China is winning on all fronts at this game because of the embargo, they end up even more vertically integrated as a result of it.

Re: DeepSeek v4

#502
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've been baffled watching America double down on the same strategy even when it failed to produce results

They sanctioned the hell out of Huawei and now Huawei is bigger than ever

America is just not able to digest the idea that another country can be as good, if not better, at innovation

Re: DeepSeek v4

#503
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…

Still not sure how I feel about China of all places to control the only alternative AI stack, but I guess it's better than leaving everything to the US alone. If China ever feels emboldened enough to go for Taiwan and the US descends into complete chaos, the rest of the world running on AI will be at the mercy of authoritarian regimes. At the very least you can be sure noone is in this for the good of the people anym…

The important thing is that LLMs are well-dispersed and the technology is relative open, much more open than it could have been. Alternative worthwhile LLMs will emerge from Europe and other non-US western countries once the economic incentives are there.

Re: DeepSeek v4

#504

Earlier quoted context omitted.

Can't see how NVIDA justifies its valuation/forward P/E ratio with these developments and on-device also becoming viable for 98% of people's needs when it comes to AI

On-device is incredibly far away from being viable. A $20 ChatGPT subscription beats the hell out of the 8B model that a $1,000 computer can run. Nvidia's forward PE ratio is only 20 for 2026. That's much lower than companies like Walmart and Costco. It's also growing nearly 100% YoY and has a $1 trillion backlog. I think Nvidia is cheap.

This is an assessment of the moment. When rate of AI data center construction slows down, then P/E will start to grow. Or are we saying that the pace will only grow forever? There are already signs of a slowdown in construction.

Re: DeepSeek v4

#505

Earlier quoted context omitted.

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

As a different Brit I do not accept such moral relativism. China’s governments actions are on a completely different level - for example: “”” Since 2014, the government of the People's Republic of China has committed a series of ongoing human rights abuses against Uyghurs and other Turkic Muslim minorities in Xinjiang which has often been characterized as persecution or as genocide. “”” https://en.wikipedia.org/wiki/…

The US supports the genocide in Gaza, it supports the bombing of Lebanon. The US itself has now started (another) war and bombed Iran.

China is repressing the Uyghur and threatening Taiwan. I don't agree with these actions but is really "orders of magnitude" worse than the destruction the US facilitates in the Middle East?

With Trump they are now openly hostile to European democracies, and ICE and doing their best at repression within the US.

Re: DeepSeek v4

#506

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…

But remember to not ask about Taiwan!

I can't wait for Taiwan to peacefully reunify with the mainland so the west with its constant war waging won't even have this talking point

Re: DeepSeek v4

#507

Earlier quoted context omitted.

Still not sure how I feel about China of all places to control the only alternative AI stack, but I guess it's better than leaving everything to the US alone. If China ever feels emboldened enough to go for Taiwan and the US descends into complete chaos, the rest of the world running on AI will be at the mercy of authoritarian regimes. At the very least you can be sure noone is in this for the good of the people anym…

I always find it an illuminating experience about the power of mass propaganda every time I see an American believe they somewhat have the moral high ground over China, despite starting a new war somewhere around the globe either for petrol or on behalf of Israel every six months.

All empires are to some degree evil because their agenda is to dominate weaker peoples and nations. They almost all committed crimes against humanity and genocides if you look retrospectively from the todays point of view. Even our beloved Roman Empire that the Western civilization is built upon was genocidal empire.

Re: DeepSeek v4

#508
post #102

Earlier quoted context omitted.

I didn't express this well but my interest isn't "who is in the top spot", and is more _why and _how various labs get the results they do. This is also magnified by the fact that I'm not only interested in hosted providers of inference but local models as well. What's your take on the best model to run for coding on 24GB of VRAM locally after the last few weeks of releases? Which harness do you prefer? What quants do…

Follow the AI newsletters. They bundle the news along with their Op-Ed and summarize it better.

Tips on what newsletters are worth signing up for ?

Re: DeepSeek v4

#509
post #441

Earlier quoted context omitted.

I haven't seen anyone claiming that API prices are subsidized. At some point (from the very beginning till ~2025Q4) Claude Code's usage limit was so generous that you can get roughly $10~20 (API-price-equivalent) worth of usage out of a $20/mo Pro plan each day (2 * 5h window) - and for good reason, because LLM agentic coding is extremely token-heavy, people simply wouldn't return to Claude Code for the second time i…

The claim that APIs are subsidized is very common. eg: Token prices are significantly subsidized and anyone that does any serious work with AI can tell you this. https://news.ycombinator.com/item?id=47684887 (the claims don't make any sense, but they are widely held)

I’ll note that it’s common and dangerous, in that there’s a generation of engineers who are at risk of leading each-other astray as to the economics and therefore probability distribution of outcomes for some firms that will massively impact their careers.

I think I understand the major reasons for this meme, but I find it really worrying; there were lots of incorrect ‘it’s a bubble’ conversations here in 2012-2015, but I don’t think they had the pervasive nature and “obvious” conclusion that a whole generation of engineering talent should just, you know, leave.

Meanwhile I am hearing rational economic modeling from the companies selling inference; Jensen, (a polished promoter, I grant you) says it really well — token value is increasing radically, in that new models -> better quality, and therefore revenues and utilization are increasing, and therefore contrary to the popular financial and techbro modeling of 2023, things like A100s still cost quite a lot whether hourly or to purchase. (!) Basically the economic value is so strong that it has actually radically extended the life of hardware.

I just hate to imagine like half of the world’s (or US’s) engineering talent quitting, spending ten years afraid, or wrongly convinced of some ‘inevitable’ market outcome. Feels like it will be bad for people’s personal lives, and bad for progress simultaneously.

Re: DeepSeek v4

#510

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…

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 competitive coding benchmarks. However, it trails both Opus models on software engineering. Kimi K2.6 is remarkably competitive as an open-weight model. Its main weakness is in pure reasoning (GPQA, HMMT) where it trails Opus.

Speculation: The DeepSeek team wanted to come out with a model that surpassed proprietary ones. However, OpenAI dropped 5.4 and 5.5 and Anthropic released Opus 4.6 and 4.7. So they chose to just release V4 and iterate on it.

Basis for speculation? (i) The original reported timeline for the model was February. (ii) Their Hugging Face model card starts with "We present a preview version of DeepSeek-V4 series". (iii) V4 isn't multimodal yet (unlike the others) and their technical report states "We are also working on incorporating multimodal capabilities to our models."

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