Skip to content(if available)orjump to list(if available)

DeepSeek’s founder is threatening US dominance in AI race

plandis

Its fascinating to me that someone in their early 20s in the 2008 worldwide economic recession to have that much economic success.

The fact that this guy could see that massive data analysis with was a winning investment strategy and then out compete others with way more experience in financial markets is impressive.

I’d be curious in the markets he initially invested in. Was this a market inefficiency specifically in China in the late 2000s?

I’ve always assumed that quantitative analysis requires PhD level knowledge of markets and mathematics but maybe I’m being way too conservative?

pyuser583

Being in your early 20s during the economic crisis, would mean spending your early to mid career during the economic boom of the 2010s.

It would mean some harsh years at first, but it’s a good time to hit the market.

I remember being told I’d never be successful, or make as much money as my parents.

I only wish I hadn’t listened to those people so long.

swordfish69

Can we stop this drawn-out narrative that Deepseek is at the level of Gemini or o3? It’s brilliant in its own way but for some reason a lot of journalists think it’s still at par with American frontier models.

nwienert

It’s funny, R1 came out and matched 4o/o1 at the time, you could claim it was very slightly behind but it was basically even.

It’s been 6 months? Geminis big upgrade was 2 months ago and o3 even more recent.

It’s just funny that US companies just barely got ahead the last couple months and already it’s a “drawn out narrative” that they aren’t ahead.

For all we know R2 drops tomorrow? If it’s ahead or even how are we supposed to think about the narrative?

IMO it’s not really that much of a stretch to say they’re fairly close together. I’d want to wait 6 more months where the US stayed significantly ahead before I’d be complaining about narratives. I know things move fast but that’s all the more reason to wait and see.

SubiculumCode

R1 has a much bigger hallucination problem than Gemini does...which made it a no go

SV_BubbleTime

> For all we know R2 drops tomorrow? If it’s ahead or even how are we supposed to think about the narrative?

I hope that R2 releases tomorrow and you enjoy some presumed clairvoyance for a minute.

jackt89

Based on DeepSeek's release cadence of R1 and V3-0324, it will drop on 5/19 or 5/26, so you are not far off

Der_Einzige

DeepSeek is trash at agent behavior, where even llama4 is far better. That's just one of many examples of American dominance.

What's DeepSeeks context window size again vs ChatGPT/Gemini at the time of release? Mmmhmm, not so sinophilic now huh? Eat a god damn burger and read your constitution.

Also open secret that they used a lot of OpenAI completions both in pre-training and their distillation processes.

csomar

In absolute scores, no one is leading. They all plateaued around the same level. The difference is that models are optimized in different ways. This makes R1 useful/ahead for some people but not for others.

However, on cost, R1 beats the Western models by miles.

roenxi

I'd reference something like https://llm-stats.com/ which suggests that the story is ... muddled. On the one hand, Deepseek is clearly not leading. On the other hand, they aren't really "behind" in any sense I care about. They'd have world-leading performance with their models this time last year.

The field is really moving too quickly to talk too certainly about "dominance" or "ahead". My observation is projects I care about on GitHub come with a Chinese README and many interesting talkers at conferences have strong Chinese accents. But I know a good researcher personally and it isn't so apparent to me if these are Chinese Chinese people or Americans of recent Chinese descent.

lwo32k

Americans can raise more cash. They are still pretty unbeatable on that front. So until that changes they will always be ahead no matter what happens on the tech front.

JSR_FDED

I think that’s too simple.

You might find this paper from the Hoover Institution interesting, it w goes into some depth analyzing the implications of DeepSeek on US innovation: https://www.hoover.org/sites/default/files/research/docs/Zeg...

Similarly, withholding funding for research, meddling in how universities are supposed to conduct their affairs, the reduced appeal of studying in the US for foreign students, putting wrestling promoter Linda McMahon in charge of dept of Education… these are all going to impact America’s research and innovation abilities.

jrvarela56

Not if the Chinese govt is interested.

otabdeveloper4

I use Qwen 2.5, it works better for my tasks than larger models.

(But I use it for actual work, not for chatting with imaginary friends. Maybe you really do need a "frontier model" if you want to monetize imaginary friends. I woun't know or care.)

alephnerd

Journalists give what their readers want, and what they want is a discussion about a US-China race or "AI". There is also an equity ownership aspect as well, because tech stocks in China tend to be the primary market in the green within the larger SSE and Hang Sen, and a DeepSeek/AI story makes China oriented emerging market ETFs much more enticing. Same reason you see much more financial reporting in American business news about India now that Indian equities are now available in emerging market ETFs.

That said, Deepseek is a decent model and was the forcing function needed to give a reality check to a number of AI Startups (and has had the positive effect of making it easier for startups I've helped incubate make the case for their own domain specific foundation model strategy). It's impact shouldn't be understated.

ijidak

This is not so different than the greatest of all time debate in sports.

It makes for interesting television.

For that reason, it probably won't stop anytime soon.

Pandabob

Feels to me that it's Google which has done the most recently to optimize the cost/performance-ratio of these models and no one seems to be talking about it.

htrp

Still parroting the same uninformed takes from January

>DeepSeek claimed to have built its base model for about 5% of the estimated cost of GPT-4

tempeler

The accuracy of this comparison is highly speculative. One should not ignore the possibility that dominant firms in the market might be inflating their cost figures to block new entrants and extract more capital from investors through such narratives. When you compare electricity prices in China with those in the U.S., such a large gap would require a truly extraordinary breakthrough to be justified.After all, these are privately held commercial firms, and they are not obligated to disclose their financials accurately.

jiggawatts

Electricity is the cheapest input by far! People and large networked GPU clusters are far more expensive.

Typical models are now trained on clusters of roughly 20K GPUs. Even if you get a volume discount you still need cabling, switches, etc…

The minimum entry price to play in the game at this level is about 200-500 million dollars.

Meta spent something like $10B on their AI compute, for comparison.

SV_BubbleTime

Agreed. For all anyone really knows, it was 5% for OpenAI compared to Deepseek.

If you believe that Deepseek was released to undercut US AI value (duh) it makes no sense to take the official line as the absolute truth.

charleshn

Indeed, see https://semianalysis.com/2025/01/31/deepseek-debates/ for a well researched article about the actual cost.

oefrha

The provided source for every concrete figure on DS in that article is "we are confident that", "we believe" or something equivalent. How is it any better researched than any other article with a conflicting set of beliefs?

Der_Einzige

There are times when "just trust me bro" is okay. Semianalysis articles are one of those times. You are free to pull the contrarian "source please" shit, but the reality is that they are far more accurate at most types of GPU, Cloud, or AI analysis than almost anyone on this websites or anywhere else.

Just trust them bro. Unironically.

juujian

What do we know now that we did not know in Jan? Is there some information on this that I have missed?

fzzzy

They didn't include the costs for developing v3, the base model.

[edit] also they seem to be saying r1 is a base model, which it is not. Very sloppy.

irjustin

Yeah apparently they parked the cost of hardware, 50k GPUs and model development underneath another entity, high-flyer because it was "shared resource".

xnx

Didn't they also train off of ChatGPT API output?

joejoo

[dead]

zeroq

I'll put my tinfoil hat on and say it plays to the current US vs China "propaganda" tune, that US is winning on all fronts, but the ice thin and have to support local tech behemoths to full extent to secure our position in this world defining struggle.

Analemma_

Bloomberg still has not retracted (or even really commented on) the Supermicro spy chip story, preferring to hope people just forget about it if they maintain total silence. They're fine if you need to look up where the Nasdaq closed yesterday, but don't expect serious tech reporting from them.

protimewaster

> not retracted (or even really commented on) the Supermicro spy chip story

They doubled down on it. They did a follow-up claiming that a cyber security researcher from a US-based firm had been called in to investigate suspicious traffic at a US telecom. The investigators claimed to have logs and a bunch of other evidence. The investigators also claimed that Bloomberg was misleading people by focusing on SuperMicro, as they'd reportedly seen to with other manufacturers too.

NicoJuicy

Hikivision literally sends hidden packages from their cameras to China.

Discovered by our security team where I work. It's the reason our VMS doesn't have support for Hikivision cameras.

Spooky23

You’re really naive. Bloomberg is one of the better news outlets, and I would put no weight on Supermicro’s denials, as they have a pattern of lying about financials and have a sweepingly broad supply chain vulnerable to sabotage and counterfeiting.

The Federal government and some banks hire companies to do supply chain integrity inspection and management. They find bad parts all of the time, especially in the channel.

There’s a pretty obvious reason why they wouldn’t want to talk about a detected case of foreign espionage embedded in servers after publishing.

mannyv

It's interesting because servethehome.com found some oddly labeled chips at one point:

https://www.servethehome.com/dude-dell-hpe-ami-american-mega...

But yeah, saying the chips are everywhere is BS.

suraci

[flagged]

tomhow

Please don't post nationalistic swipes like this in comments on HN. We've had to ask you to avoid political flamewar comments before. Please make an effort to correct this or we'll have to ban the account.

mensetmanusman

Good, the more the better.

Also, if China keeps using this type of tech to imprison their own population even more effectively, that’s also good for the US, because no one wants to flee to an even better dystopia.

SV_BubbleTime

I talked with a Chinese friend at Meta about this. We agreed that no one would have been interested in Deepseek as a Chinese run service (loose “no one”) but as a tool to undercut the value of US AI, it’s seemingly effective.

I see no downside here. Force US to innovate beyond “it costs a lot of money and we conveniently had that upfront” while also undercutting the law makers and people trying to enforce regulatory capture on a new thing like they’ve done on all the old things.

As a person interested in tech and tools and America, I have no issues with Deepseek and Hunyuan and Wan being effectively CCP funded. Keep it up. Accelerate. Push.