# DeepSeek showed why the U.S. technology stack matters

Markdown copy of https://realalpha.app/s/deepseek-showed-why-the-u-s-technology-stack-matters/ on Real Alpha, the best minutes from long interviews with the people building AI. Cite and link the page, not this copy.

- Speaker: [Jensen Huang](https://realalpha.app/builders/jensen-huang/) · Founder & CEO, NVIDIA · Co-founded NVIDIA in 1993 and has led it as president and CEO, steering its GPUs from gaming into AI.
- Host: [Chamath Palihapitiya](https://realalpha.app/people/chamath-palihapitiya/) · Founder & CEO, Social Capital · Led Facebook's growth team; his firm backed Slack and AI chipmaker Groq.
- Host: [Jason Calacanis](https://realalpha.app/people/jason-calacanis/) · Founder & CEO, LAUNCH · Early Uber angel; sold Weblogs Inc. to AOL; hosts This Week in Startups.
- Host: [David Sacks](https://realalpha.app/people/david-sacks/) · Co-founder & partner, Craft Ventures · PayPal's first COO, founded Yammer; White House AI & crypto czar 2025–26.
- Host: [David Friedberg](https://realalpha.app/people/david-friedberg/) · CEO, Ohalo · Founded The Climate Corporation, sold to Monsanto for about $1.1B in 2013.
- Show: All-In
- Episode: [Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller](https://realalpha.app/v/9WkGNe27r_Q/), Jul 23, 2025
- Moment: 59:05 to 1:01:44 of the episode (3 min), playing on https://realalpha.app/s/deepseek-showed-why-the-u-s-technology-stack-matters/; the episode from there: https://realalpha.app/v/9WkGNe27r_Q/?t=3545

## Quote

> “the fact of the matter is american tech stack all over the world being the **world's standard is vital** to the future of winning the ai race”
> — [Jensen Huang](https://realalpha.app/builders/jensen-huang/) at [1:00:31](https://realalpha.app/v/9WkGNe27r_Q/?t=3631) · All-In

## Takeaways

1. Open models help startups build and compete.
2. Chinese models running on U.S. platforms reinforce their global standard.
3. More efficient reasoning makes longer AI computation affordable.

## About this segment

Jensen Huang argues that Chinese open models running on American technology are a win for U.S. platforms. He also says efficient reasoning models make longer AI thought processes practical.

From “Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller”, Jul 23, 2025. [Watch the full episode](https://realalpha.app/v/9WkGNe27r_Q/)

## Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

[59:10](https://realalpha.app/v/9WkGNe27r_Q/?t=3550) almost threw in the towel and said, oh, we lost to China, right? There was the deep seek moment, then maybe this week, last week, there was this Kimi model moment. But then it kind of fizzled out. Can you just explain to us how big of a threat they really are in terms of getting to supremacy, getting there first, whether it's AGI or superintelligence? Yeah, excellent question. The Chinese AI labs are the world's leading open, open model companies.

[59:44](https://realalpha.app/v/9WkGNe27r_Q/?t=3584) They offer the most advanced open models. Open source is fantastic. If not for open source, we know startups won't exist. And to the extent that we believe that the future is going to be, the future industry is going to be today's startups, they're going to need. open open source models and deep seek when it came out it was a great win for the united states it was an incredible win what people didn't and two two reasons first imagine if deep sea came out and only ran on huawei i just want us to pretend use that thought experiment totally right you got two parallel universe exactly could you imagine if qn came out and only worked on non-american tech stack could you imagine if kimi came out and it only worked on non-american tech stack and these are the top three open models in the world today it has downloaded hundreds of

[1:00:34](https://realalpha.app/v/9WkGNe27r_Q/?t=3634) millions of times so the fact of the matter is american tech stack all over the world being the world's standard is vital to the future of winning the ai race you can't do it any other way we've got to be you know as you know any computing platform wins because of developers yeah and half of the world's developers are in china so speaking of developers the second the second i'm I'm sorry, the second thing is really a big deal.

[1:01:01](https://realalpha.app/v/9WkGNe27r_Q/?t=3661) When DeepSeek came out, we were thrilled for the second reason, which is we now have a super efficient reasoning model. And the reason for that is because the old models are one shot. You give it a question. Everything was memorized. You know, pre-training is basically memorization and generalization, two concepts. Post-training is teaching you how to think. And so now with DeepSeq R1, Kimi K2, Q1-3, you now have reasoning models that can help you think.

[1:01:34](https://realalpha.app/v/9WkGNe27r_Q/?t=3694) And so the reason why I was so excited is if each pass of a thought is energy efficient, then you can think for a long time.