The day of reckoning is here. DeepSeek unleashes AI bust.

Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Does anyone wonder if this is actually true? Has anyone explained how they spend millions when other companies are spending billions and most of the cost is going towards computing power?


In a couple of weeks we still start hearing they "cheated" lol. God forbid they have good engineers as well OMG that can't be.



Supposedly through channel checks, folks now believe DeepSeek amassed 50,000 Nvidia N100 chips before export controls kicked in, but they can't advertise any of that with their press release.

Each of those chips sells for $30,000/each, so that means they spent $1.5BN to actually develop it...with lots of $$$s from the Chinese government.


Lol it didn't take 2 weeks. My God only the USA has earth shattering engineers.


Nobody is saying they don't have great engineers...but it's no different if OpenAI only counted their programming costs for ChatGPT and conveniently left out the underlying HW costs. More accurately, if the US government provided OpenAI multi-billion $$ grants to acquire the computing chips, then OpenAI could reduce their spend by over 95%.


I will say it -- their STEM sucks and they do not have good engineers.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Does anyone wonder if this is actually true? Has anyone explained how they spend millions when other companies are spending billions and most of the cost is going towards computing power?


In a couple of weeks we still start hearing they "cheated" lol. God forbid they have good engineers as well OMG that can't be.



Supposedly through channel checks, folks now believe DeepSeek amassed 50,000 Nvidia N100 chips before export controls kicked in, but they can't advertise any of that with their press release.

Each of those chips sells for $30,000/each, so that means they spent $1.5BN to actually develop it...with lots of $$$s from the Chinese government.


Lol it didn't take 2 weeks. My God only the USA has earth shattering engineers.


Nobody is saying they don't have great engineers...but it's no different if OpenAI only counted their programming costs for ChatGPT and conveniently left out the underlying HW costs. More accurately, if the US government provided OpenAI multi-billion $$ grants to acquire the computing chips, then OpenAI could reduce their spend by over 95%.


I will say it -- their STEM sucks and they do not have good engineers.


Not yet, but they just developed the AI people and businesses are going to cheaply use while cutting out NVIDIA's expensive hardware. Businesses waiting on the US tech sector to take a break from creating cell phone video games and social media advertising to make better AI are going to fail way behind.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Does anyone wonder if this is actually true? Has anyone explained how they spend millions when other companies are spending billions and most of the cost is going towards computing power?


In a couple of weeks we still start hearing they "cheated" lol. God forbid they have good engineers as well OMG that can't be.



Supposedly through channel checks, folks now believe DeepSeek amassed 50,000 Nvidia N100 chips before export controls kicked in, but they can't advertise any of that with their press release.

Each of those chips sells for $30,000/each, so that means they spent $1.5BN to actually develop it...with lots of $$$s from the Chinese government.


Lol it didn't take 2 weeks. My God only the USA has earth shattering engineers.


Nobody is saying they don't have great engineers...but it's no different if OpenAI only counted their programming costs for ChatGPT and conveniently left out the underlying HW costs. More accurately, if the US government provided OpenAI multi-billion $$ grants to acquire the computing chips, then OpenAI could reduce their spend by over 95%.


I will say it -- their STEM sucks and they do not have good engineers.


Not yet, but they just developed the AI people and businesses are going to cheaply use while cutting out NVIDIA's expensive hardware. Businesses waiting on the US tech sector to take a break from creating cell phone video games and social media advertising to make better AI are going to fail way behind.


No that is not what is going on. What is going on is same as last week. Two issues -- 1 this is based of NVIDIA chips and two it is not as big a deal as people have made out.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Does anyone wonder if this is actually true? Has anyone explained how they spend millions when other companies are spending billions and most of the cost is going towards computing power?


In a couple of weeks we still start hearing they "cheated" lol. God forbid they have good engineers as well OMG that can't be.



Supposedly through channel checks, folks now believe DeepSeek amassed 50,000 Nvidia N100 chips before export controls kicked in, but they can't advertise any of that with their press release.

Each of those chips sells for $30,000/each, so that means they spent $1.5BN to actually develop it...with lots of $$$s from the Chinese government.


Lol it didn't take 2 weeks. My God only the USA has earth shattering engineers.


Nobody is saying they don't have great engineers...but it's no different if OpenAI only counted their programming costs for ChatGPT and conveniently left out the underlying HW costs. More accurately, if the US government provided OpenAI multi-billion $$ grants to acquire the computing chips, then OpenAI could reduce their spend by over 95%.


I will say it -- their STEM sucks and they do not have good engineers.


Not yet, but they just developed the AI people and businesses are going to cheaply use while cutting out NVIDIA's expensive hardware. Businesses waiting on the US tech sector to take a break from creating cell phone video games and social media advertising to make better AI are going to fail way behind.


No that is not what is going on. What is going on is same as last week. Two issues -- 1 this is based of NVIDIA chips and two it is not as big a deal as people have made out.


Even if you're right, it doesn't matter. The market believes Chinese AI is ahead and now the public perception is that the US tech sector went the wrong way. Who is going to believe our tech sector can pivot? They are not really inspiring and haven't had any huge achievements announced like DeepSeek. US businesses are no longer nationalist enough to pass on Chinese AI so it's absolutely going to take off here.
Anonymous
I think American AI companies severely padded the amount needed to actually create and run AI. I'm sure lots of the investments are sitting in the owner's, and not the company's, accounts. Investors were gouged. Hopefully, American AI companies can catch up to the Chinese.
Anonymous
Anonymous wrote:
Anonymous wrote:So, I assume you have taken out massive short positions in these stocks and purchased tons of put options...most certainly on margin to juice your returns?

You seem so certain, so of course you have done this...right?


Your coping mechanism is funny. I have no dog in this fight really because I don't like pouring money into tech stocks with extreme valuations, specifically out of fears like this day of reckoning. US tech has been exposed for the overvalued junk that it is. In the end, all this AI hype they ballooned values is nothing more than cheap code for a few million dollars that can be done by anyone. So much value needs to bleed out from tech and US stocks.

Americans got cocky and just received a KO right cross to the chin. This is going to be ugly for everyone's portfolio and for jobs.


Looks like the Chinese troll farm found DCUM. I'm sure the CCP is directing their millions of online trolls to post this kind of post on any and all outlets they can.
Anonymous
Anonymous wrote:I dropped out of a Top Math PhD program a decade ago. Over 70% of the students in the program were Chinese students. They were very good and were very willing to collaborate. China is a big country and that's an advantage. As a result they have a deep tool of talent.

Now the media is in awe over the fact that they found a more efficient algorithm.

We are losing our smartest kids away from pure mathematics and physics into applied statistics because our universities are under pressure to produce market ready workers.

Well now we are starting to see the consequences of letting corporate America dictate our educational model.

Today I work as a computational fluid dynamics scientist. People like me are still needed but I am afraid wall Street does not think so.

We need to respect the talent from China and at the same time stop overvaluing our tech products. The reason our tech is so dominant has to do with their financial model and monopoly. Many Americans may not be aware but we have less and less choices as far as product. And now they are going to get even bigger.


All of this!!! 🙏🏽
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