Nathan Lambert

They had all these resources and infrastructure for trading, and then they devoted a humongous portion of them to training models, both language models and otherwise, right? Because these techniques were heavily AI-influenced.

More recently, people have realized, hey, trading with... Even when you go back to Renaissance and all these quantitative firms, natural language processing is the key to trading really fast, understanding a press release and making the right trade. And so DeepSeek has always been really good at this.

More recently, people have realized, hey, trading with... Even when you go back to Renaissance and all these quantitative firms, natural language processing is the key to trading really fast, understanding a press release and making the right trade. And so DeepSeek has always been really good at this.

More recently, people have realized, hey, trading with... Even when you go back to Renaissance and all these quantitative firms, natural language processing is the key to trading really fast, understanding a press release and making the right trade. And so DeepSeek has always been really good at this.

And even as far back as 2021, they have press releases and papers saying, hey, we're the first company in China with an A100 cluster this large. It was 10,000 A100 GPUs, right? This is in 2021. Now, this wasn't all for training, you know, large language models.

And even as far back as 2021, they have press releases and papers saying, hey, we're the first company in China with an A100 cluster this large. It was 10,000 A100 GPUs, right? This is in 2021. Now, this wasn't all for training, you know, large language models.

And even as far back as 2021, they have press releases and papers saying, hey, we're the first company in China with an A100 cluster this large. It was 10,000 A100 GPUs, right? This is in 2021. Now, this wasn't all for training, you know, large language models.

This was mostly for training models for their quantitative aspects, their quantitative trading, as well as, you know, a lot of that was natural language processing, to be clear, right? And so this is the sort of history, right? So verifiable fact is that in 2021, they built the largest Chinese cluster. At least they claim it was the largest cluster in China, 10,000 GPUs.

This was mostly for training models for their quantitative aspects, their quantitative trading, as well as, you know, a lot of that was natural language processing, to be clear, right? And so this is the sort of history, right? So verifiable fact is that in 2021, they built the largest Chinese cluster. At least they claim it was the largest cluster in China, 10,000 GPUs.

This was mostly for training models for their quantitative aspects, their quantitative trading, as well as, you know, a lot of that was natural language processing, to be clear, right? And so this is the sort of history, right? So verifiable fact is that in 2021, they built the largest Chinese cluster. At least they claim it was the largest cluster in China, 10,000 GPUs.

Yeah. It's like they've had a huge cluster before any conversation of export controls. So then you step it forward to like, what have they done over the last four years since then, right? Obviously, they've continued to operate the hedge fund, probably make tons of money. And the other thing is that they've leaned more and more and more into AI.

Yeah. It's like they've had a huge cluster before any conversation of export controls. So then you step it forward to like, what have they done over the last four years since then, right? Obviously, they've continued to operate the hedge fund, probably make tons of money. And the other thing is that they've leaned more and more and more into AI.

Yeah. It's like they've had a huge cluster before any conversation of export controls. So then you step it forward to like, what have they done over the last four years since then, right? Obviously, they've continued to operate the hedge fund, probably make tons of money. And the other thing is that they've leaned more and more and more into AI.

The CEO, Liang Qingfeng, Liang... You're not putting me spot on this. We discussed this before. Yeah. Leon Feng, the CEO, he owns maybe a little bit more than half the company, allegedly, is an extremely Elon Jensen kind of figure where he's just involved in everything. And so over that time period, he's gotten really in-depth into AI. He actually has a bit of a...

The CEO, Liang Qingfeng, Liang... You're not putting me spot on this. We discussed this before. Yeah. Leon Feng, the CEO, he owns maybe a little bit more than half the company, allegedly, is an extremely Elon Jensen kind of figure where he's just involved in everything. And so over that time period, he's gotten really in-depth into AI. He actually has a bit of a...

The CEO, Liang Qingfeng, Liang... You're not putting me spot on this. We discussed this before. Yeah. Leon Feng, the CEO, he owns maybe a little bit more than half the company, allegedly, is an extremely Elon Jensen kind of figure where he's just involved in everything. And so over that time period, he's gotten really in-depth into AI. He actually has a bit of a...

If you see some of the statements, a bit of an EAC vibe almost, right?

If you see some of the statements, a bit of an EAC vibe almost, right?

If you see some of the statements, a bit of an EAC vibe almost, right?

And so this is sort of like the quote-unquote visionary behind the company, right? This hedge fund still exists, right? This quantitative firm. And so... DeepSeek is the sort of, you know, slowly he got turned to this full view of like AI, everything about this, right? But at some point it slowly maneuvered and he made DeepSeek. And DeepSeek has done multiple models since then.