Jonathan Ross

Yes, it is Sputnik 2.0. It is true that they spent about six million or whatever it was on the training. They spent a lot more distilling or scraping the OpenAI model.

Yes, it is Sputnik 2.0. It is true that they spent about six million or whatever it was on the training. They spent a lot more distilling or scraping the OpenAI model.

Yes, it is Sputnik 2.0. It is true that they spent about six million or whatever it was on the training. They spent a lot more distilling or scraping the OpenAI model.

I can't speak for Sam Altman or OpenAI, but if I was in that position, I would be gearing up to open source my models in response because it's pretty clear you're gonna lose that, so you might as well try and win all the users and the love from open sourcing. Open always wins.

I can't speak for Sam Altman or OpenAI, but if I was in that position, I would be gearing up to open source my models in response because it's pretty clear you're gonna lose that, so you might as well try and win all the users and the love from open sourcing. Open always wins.

I can't speak for Sam Altman or OpenAI, but if I was in that position, I would be gearing up to open source my models in response because it's pretty clear you're gonna lose that, so you might as well try and win all the users and the love from open sourcing. Open always wins.

No problem. But before we start, can I just say one thing? I think you have the most amazing, unique go-to-market that I've ever seen in my life for a podcast. I've never seen this before. I think your strategy is you're literally interviewing every single audience member, forcing them to watch videos and get addicted to you.

No problem. But before we start, can I just say one thing? I think you have the most amazing, unique go-to-market that I've ever seen in my life for a podcast. I've never seen this before. I think your strategy is you're literally interviewing every single audience member, forcing them to watch videos and get addicted to you.

No problem. But before we start, can I just say one thing? I think you have the most amazing, unique go-to-market that I've ever seen in my life for a podcast. I've never seen this before. I think your strategy is you're literally interviewing every single audience member, forcing them to watch videos and get addicted to you.

Well, my background, so I started the Google TPU, the AI chip that Google uses, and in 2016 started an AI chip startup called Grok with a Q, not with a K, that builds AI accelerator chips, which we call LPUs.

Well, my background, so I started the Google TPU, the AI chip that Google uses, and in 2016 started an AI chip startup called Grok with a Q, not with a K, that builds AI accelerator chips, which we call LPUs.

Well, my background, so I started the Google TPU, the AI chip that Google uses, and in 2016 started an AI chip startup called Grok with a Q, not with a K, that builds AI accelerator chips, which we call LPUs.

Yes, it's Sputnik. It is Sputnik 2.0. Even more so, you know that story about how NASA spent a million dollars designing a pen that could write in space and the Russians brought a pencil. That just happened again. So it's a huge deal. Why is it such a huge deal? So up until recently, the Chinese models have been behind sort of Western models.

Yes, it's Sputnik. It is Sputnik 2.0. Even more so, you know that story about how NASA spent a million dollars designing a pen that could write in space and the Russians brought a pencil. That just happened again. So it's a huge deal. Why is it such a huge deal? So up until recently, the Chinese models have been behind sort of Western models.

Yes, it's Sputnik. It is Sputnik 2.0. Even more so, you know that story about how NASA spent a million dollars designing a pen that could write in space and the Russians brought a pencil. That just happened again. So it's a huge deal. Why is it such a huge deal? So up until recently, the Chinese models have been behind sort of Western models.

And I say Western, including like Mistral as well and some other companies. And it was largely focused on how much compute you could get. Most people actually don't realize this. Most companies have access to roughly the same amount of data. They buy them from the same data providers and then just churn through that data with a GPU and they produce a model and then they deploy it.

And I say Western, including like Mistral as well and some other companies. And it was largely focused on how much compute you could get. Most people actually don't realize this. Most companies have access to roughly the same amount of data. They buy them from the same data providers and then just churn through that data with a GPU and they produce a model and then they deploy it.

And I say Western, including like Mistral as well and some other companies. And it was largely focused on how much compute you could get. Most people actually don't realize this. Most companies have access to roughly the same amount of data. They buy them from the same data providers and then just churn through that data with a GPU and they produce a model and then they deploy it.

And they'll have some of their own data and that'll make them subtly better at one thing or another. But they're largely all the same. More GPUs, the better the model because you can train on more tokens. It's the scaling law. This model was supposedly trained on a smaller number of GPUs and a much, much tighter budget.

And they'll have some of their own data and that'll make them subtly better at one thing or another. But they're largely all the same. More GPUs, the better the model because you can train on more tokens. It's the scaling law. This model was supposedly trained on a smaller number of GPUs and a much, much tighter budget.