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Dwarkesh Podcast / episode intelligence

@Asianometry & Dylan Patel — How the semiconductor industry actually works

2 Oct 2024 27 published claims 3 attributable people

Speakers in the public record

Claim mix

belief 9evaluation 6uncertainty 4prediction 3observation 2preference 2recommendation 1

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27 published records

11 / belief

I think more reasonably, it will be like the total summation of the flops that you deliver to the model across pre-training, post-training, synthetic data for that pre-training and post-training data, as well as some of the inference time compute efficiencies.

“I think more reasonably, it will be like the total summation of the flops that you deliver to the model across pre-training, post-training, synthetic data for that pre-training and post-training data, as well as some of the inference time compute efficiencies.”
Speaker
Dylan Patel
Publisher
Dwarkesh Podcast

18 / evaluation

All in all, you only save about 20% in power per transistor. But because of data locality and movement of data, you actually get a much larger improvement in power efficiency by moving to the next node than just the individual transistors' power efficiency benefit.

“All in all, you only save about 20% in power per transistor. But because of data locality and movement of data, you actually get a much larger improvement in power efficiency by moving to the next node than just the individual transistors' power efficiency benefit.”
Speaker
Dylan Patel
Publisher
Dwarkesh Podcast

23 / recommendation

If you want to restrict them from having chips, you have to let them have at least some level of chip that is better than what they can build internally.

“If you want to restrict them from having chips, you have to let them have at least some level of chip that is better than what they can build internally.”
Speaker
Dylan Patel
Publisher
Dwarkesh Podcast
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