Marc Andreessen

There's a ton of dimensions to it. It's a really big deal. The U.S. is still like by far in a way to sort of describe a science and technology leader in AI. And so most of the ideas in DeepSeek are derived from work that's been done in America or in Europe over the last 20 years or actually amazingly 80 years.

There's a ton of dimensions to it. It's a really big deal. The U.S. is still like by far in a way to sort of describe a science and technology leader in AI. And so most of the ideas in DeepSeek are derived from work that's been done in America or in Europe over the last 20 years or actually amazingly 80 years.

The original work on neural networks was done all the way back in the 1940s in American and European research universities. And so from an intellectual development standpoint, the U.S. is still way ahead. But what DeepSeq is, it's a really, really good implementation of those ideas. And then they did this marvelous thing, which is they gave it to the world in the form of open source.

The original work on neural networks was done all the way back in the 1940s in American and European research universities. And so from an intellectual development standpoint, the U.S. is still way ahead. But what DeepSeq is, it's a really, really good implementation of those ideas. And then they did this marvelous thing, which is they gave it to the world in the form of open source.

It's actually fairly amazing that this has happened. There's kind of an inversion that's happened because you have these American companies with names like OpenAI that basically are completely closed. Part of Elon's lawsuit against OpenAI is he's demanding they change their name from OpenAI to ClosedAI. The original thesis of OpenAI is everything was going to be open source.

It's actually fairly amazing that this has happened. There's kind of an inversion that's happened because you have these American companies with names like OpenAI that basically are completely closed. Part of Elon's lawsuit against OpenAI is he's demanding they change their name from OpenAI to ClosedAI. The original thesis of OpenAI is everything was going to be open source.

Everything's been closed down. And these other big AI labs like Anthropic are also completely closed. And in fact, they've even stopped publishing research. They've really taken everything proprietary. And the deep state guys basically, for their own reasons, are delivering on the promise of actually open AI, actual open source.

Everything's been closed down. And these other big AI labs like Anthropic are also completely closed. And in fact, they've even stopped publishing research. They've really taken everything proprietary. And the deep state guys basically, for their own reasons, are delivering on the promise of actually open AI, actual open source.

And so they've published for both their LLM, which is called V3, and then for their reasoner, which is called R1, the two parts of their system. They publish the code and they publish technical papers that document in detail how they built it and basically serve as a roadmap for anybody else who wants to do the same kind of work. So it's out.

And so they've published for both their LLM, which is called V3, and then for their reasoner, which is called R1, the two parts of their system. They publish the code and they publish technical papers that document in detail how they built it and basically serve as a roadmap for anybody else who wants to do the same kind of work. So it's out.

And so there's kind of this fake narrative out there that basically is like, if you use DeepSeek, you're giving all your data to the Chinese. And that is true if you use DeepSeek on the DeepSeek website, if you use the service the way they run it, but you can download the code and you can run it yourself. I'll just give you an example of that.

And so there's kind of this fake narrative out there that basically is like, if you use DeepSeek, you're giving all your data to the Chinese. And that is true if you use DeepSeek on the DeepSeek website, if you use the service the way they run it, but you can download the code and you can run it yourself. I'll just give you an example of that.

There's an app called Perplexity now that's quite popular in an American company. You can use DeepSeek R1 on Perplexity, completely hosted in the United States. Both Microsoft and Amazon now have

There's an app called Perplexity now that's quite popular in an American company. You can use DeepSeek R1 on Perplexity, completely hosted in the United States. Both Microsoft and Amazon now have

cloud versions of deep seek running where you can run it in their clouds and obviously both american companies american data centers and this is really critical you can download the system now and you can actually run it you can't run the full version on your laptop but you can run it on six thousand dollars worth of hardware in your house or in your business it's a comparable capability as sort of the leading edge systems from open ai and anthropic those companies spent many many multiples of money to build their systems now you can run it on six thousand dollars and you have total control if you're running it yourself you have total control you have total transparency into what it's doing you can modify it you can do all kinds of things with it

cloud versions of deep seek running where you can run it in their clouds and obviously both american companies american data centers and this is really critical you can download the system now and you can actually run it you can't run the full version on your laptop but you can run it on six thousand dollars worth of hardware in your house or in your business it's a comparable capability as sort of the leading edge systems from open ai and anthropic those companies spent many many multiples of money to build their systems now you can run it on six thousand dollars and you have total control if you're running it yourself you have total control you have total transparency into what it's doing you can modify it you can do all kinds of things with it

And then it has this characteristic that works really well called distillation, where you can take the big model that takes $6,000 worth of hardware and you can create smaller versions of it. And people online have already created smaller versions of it and built them so that you can run it on your MacBook or you can run it on your iPhone.

And then it has this characteristic that works really well called distillation, where you can take the big model that takes $6,000 worth of hardware and you can create smaller versions of it. And people online have already created smaller versions of it and built them so that you can run it on your MacBook or you can run it on your iPhone.

And those versions are not quite as smart as the full version, but they are quite smart. And you can create custom tailored distilled versions that are smart at specific things.

And those versions are not quite as smart as the full version, but they are quite smart. And you can create custom tailored distilled versions that are smart at specific things.