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Nvidia wants a world where countless people can build token machines so intelligence is not monopolized, which creates massive demand for inference across many companies – all buying Nvidia's offerings.
Nvidia invests heavily in nearly open-source models like Nemotron because they want widespread token production, which drives massive demand for Nvidia's inference chips. ✦ AI generated
Interconnects AI · Interconnects · 2026-08-17 · original ↗
Nvidia wants a world where countless people can build token machines, so intelligence is not monopolized. This is a world with massive demand for inference across many companies, all of which want to buy Nvidia's offerings.
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- ·Goal: countless people build token machines
- ·Prevent intelligence monopolization
- ·Drives massive inference demand across many companies
- ·Invests in nearly open-source models like Nemotron
- ·Widespread token production creates chip demand
- ·All companies want to buy Nvidia's offerings
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provides context → There are two possible futures for open-source AI: if Nvidia's open-source recipe works, it creates far more demand for their chips than it costs; if it doesn't work, open models will fork to a different path focused on efficiency, modifiability, and specialization.Interconnects AI · Interconnectsprovides context → The open-source ecosystem will become increasingly dependent on Nvidia's financing, and within a few years the profits from this approach need to return to Nvidia, or another company needs to cultivate platform-like financial feedback loops.Interconnects AI · Interconnectsprovides context → Meta and Nvidia are both commoditizing their complements but in different ways: Nvidia wants to teach everyone to fish for tokens so the ecosystem is self-sustaining, while Meta is strategically flooding the zone with tokens to hamper competitors' revenue growth.Interconnects AI · Interconnects