What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
Two words have caught the Internet by storm. DeepSeek.
The Chinese reasoning model r1 is rivaling others at the frontier with an open-source MIT license, methods that some claim may be 45x more efficient, an alleged $5.6m cost, the release of reasoning traces, a follow-on image model, and the fact that all of this was released by a hedge fund China.
Many are already referring to this as a Sputnik moment. If that’s true, how should we – whether founder, researcher, policy maker – not just react, but act? Joining us to tease out the signal from the noise are a16z General Partner Martin Casado and a16z board partner, Steven Sinofsky. Both Martin and Steven have been on the frontlines of prior computing cycles, from the switching wars to the fiber buildout, and have witnessed the trajectories of companies like Cisco to AOL to ATT – even Worldcom.
So what really drove this DeepSeek frenzy and more importantly what should we take away? Today, we answer that question through the lens of Internet history.
Timecodes:
00:00 - DeepSeek's release
04:06 - Teasing signal from noise
09:19 - OS license and reasoning traces
11:22 - Monetizing layers of the stack
18:42 - What’s different this time around?
22:09 - Scaling up vs scaling out
29:24 - Changing benchmarks
31:48 - Building defensibility
35:27 - AI’s Sputnik moment?
41:17 - Impact on frontier companies
43:00 - Participating in the next wave
Resources:
DeepSeek Has Been Inevitable and Here's Why (History Tells Us): https://hardcoresoftware.learningbyshipping.com/p/228-deepseek-has-been-inevitable
Why DeepSeek Is a Gift to the American People: https://www.thefp.com/p/why-deepseek-is-a-gift-to-the-american
Follow Martin on X: https://x.com/martin_casado
Follow Steven on X: https://x.com/stevesi
Stay Updated:
Let us know what you think: https://ratethispodcast.com/a16z
Find a16z on Twitter: https://twitter.com/a16z
Find a16z on LinkedIn: https://www.linkedin.com/company/a16z
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Chapters (11)
DeepSeek's release
4:06
Teasing signal from noise
9:19
OS license and reasoning traces
11:22
Monetizing layers of the stack
18:42
What’s different this time around?
22:09
Scaling up vs scaling out
29:24
Changing benchmarks
31:48
Building defensibility
35:27
AI’s Sputnik moment?
41:17
Impact on frontier companies
43:00
Participating in the next wave
🎓
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