20:13longdirectional thesisFWONK F1's commercial machine keeps minting money as new fans, sponsors and US races pile in, and Liberty's Formula One tracking stock is the only clean way to own that growth.
So I think our, you know, our initial thought was this was just going to be more shoulder programming. There's been shows done before. So I don't think any of us anticipated it having the impact on the sport that it had. Two teams didn't actually participate. In year one, and they got all sorts of grief from, from their partners, their fans. Um, you know, I've always been— I'm a huge fan of racing, and I think about that 1981 Long Beach Grand Prix, and I think about the impact it had on me.
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134:07longdirectional thesisNVDA More agents beats better models, so whoever owns the most inference compute wins, and the demand lands squarely on the company whose chips are the king of token generation.
Yeah. And even if the models are exactly the same, if I'm able to put 10 agents securing my bank account against your 1 agent trying to break into it, I will have 10 times the amount of solutions. And so I should win that battle almost all the time. Uh, and you, you, it, it does, it does seem like we're shifting towards this, uh, the, the incredible value of inference and capacity, which of course makes the whole data center slowdown ban so much more complicated.
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64:27longdirectional thesisAMD AMD's datacenter GPU business reprices upward as its inference software catches NVIDIA on cost per token, making Instinct a real buy for hyperscalers instead of a backup plan.
Got it. I'm sure the question that everyone is asking you is around how AI is, you know, speeding up the actual deployment of AI models onto other silicon stacks, other chipsets, AMD specifically. How is it going? What is real? How much acceleration are you feeling?
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