Speakers in the public record
Claim mix
belief 9evaluation 6uncertainty 4prediction 3observation 2preference 2recommendation 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
27 published records
“It's because it's very compartmentalized. Back in the 2000s, before SMIC got big, it was actually much more open and more flat.”
- Publisher
- Dwarkesh Podcast
“If you could hire these people, it would probably be worth a lot to you because you're building a fab that's worth tens of billions of dollars.”
- Publisher
- Dwarkesh Podcast
“The beautiful thing about AI is that because it's growing so fast, every layer is being stressed to an incredible degree.”
- Publisher
- Dwarkesh Podcast
“Of course. I agree with you. But I also agree with Dylan. It can be achieved. ROI, TSMC does this.”
- Publisher
- Dwarkesh Podcast
“You should tell that story, actually, about the TSMC guy that went to Samsung and SMIC and all that. I think you should tell that story.”
- Publisher
- Dwarkesh Podcast
“Basically, at some point, a guy somewhere says, "I think we can move forward with this.”
- Publisher
- Dwarkesh Podcast
“Another is NVIDIA. I don’t know how this works. Presumably, they have some sort of know-how.”
- Publisher
- Dwarkesh Podcast
“The way to look at it today is that it’s super stratified. Every industry has anywhere from one to three competitors.”
- Publisher
- Dwarkesh Podcast
“What we see beyond that is more questionable and I'm not sure because I don't know.”
- Publisher
- Dwarkesh Podcast
“Let's just give the number to like, “Okay, it’s 2025 and Elon's cluster is going to be the biggest…” It doesn’t matter who it is.”
- Publisher
- Dwarkesh Podcast
“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.”
- Publisher
- Dwarkesh Podcast
“You have multiple, at least five, I believe GB200 100K clusters being built by Microsoft/OpenAItheir partners for them.”
- Publisher
- Dwarkesh Podcast
“You could just destroy every GPU in a data center if you want if you just fuck with the grid, pretty easily, I think.”
- Publisher
- Dwarkesh Podcast
“How are you doing research and making a video twice a week? I don't know. I do these, I'm just fucking talking.”
- Publisher
- Dwarkesh Podcast
“Next year, 300-500k depending on whether it's one site or many. 300-700k I think is the upper bound of that.”
- Publisher
- Dwarkesh Podcast
“We think, with fairly high accuracy, that there are five regions that they're connecting together, which comprises many data centers.”
- Publisher
- Dwarkesh Podcast
“I think Jon and I could communicate to the point where you even wouldn't know what we're talking about.”
- Publisher
- Dwarkesh Podcast
“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.”
- Publisher
- Dwarkesh Podcast
“You just go down the list. That means no fridges, no automobiles, no weed whackers, because that stuff has chips.”
- Publisher
- Dwarkesh Podcast
“Anyway, there's a tremendous opportunity to bring breakthrough innovation simply because there are so many layers where things are unoptimized.”
- Publisher
- Dwarkesh Podcast
“I'd bet if AI is as important as you and I believe, they will centralize sooner than the West does.”
- Publisher
- Dwarkesh Podcast
“What has happened is the output per individual has soared because of EDA (Electronic Design Assistance) tooling.”
- Publisher
- Dwarkesh Podcast
“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.”
- Publisher
- Dwarkesh Podcast
“Then as soon as I started making money… I grew up in a family business, but I didn't get paid for working, of course, like yourself.”
- Publisher
- Dwarkesh Podcast
“I don't know if we could tell because they could also just easily spawn like 10 other aluminum mills to make up for the production and be fine.”
- Publisher
- Dwarkesh Podcast
“China has no issue with that at all because their supply chain adds as much power as like half of Europe every year.”
- Publisher
- Dwarkesh Podcast
“” The way I like to look at it is that chip manufacturing is like 3D chess or like a massive jigsaw puzzle.”
- Publisher
- Dwarkesh Podcast