The AI model debate still runs on NVIDIA hardware
Open-weight models publish their trained parameters so others can download and run them; closed models keep those parameters private. The episode debates the two philosophies. The...
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Open-weight models publish their trained parameters so others can download and run them; closed models keep those parameters private. The episode debates the two philosophies. The punchline: whichever side wins, both still need NVIDIA hardware to train and run the models. The AI civil war has one landlord.
The real news
The story, straight
On Moonshots, the open-versus-closed model debate continues, with open-weight models publishing their trained parameters so others can download and run them, and closed models keeping those parameters private.
The punchline: whichever side wins, both still need NVIDIA hardware to train and run the models. The AI civil war has one landlord.
The absurd
Why this is ridiculous
Two model philosophies. One very profitable landlord.
The vault doors are the policy debate; the server room is the part everyone still has to pay for.
The breakdown
How it breaks down
Treating open versus closed models as a winner-take-all ideological war, while the hardware layer profits from demand on both sides, is the mistake. The lesson: pick a side.
Pay the landlord.
The upside
Why it could matter
The upside is that the debate itself is the demand, and demand is the business. The lesson from episode 275: the most stable asset in AI is the one that does not pick a side.
Sources
Dario vs Jensen on Open Weights, OpenAI & Anthropic in DC, Xi Exports AI to Global South | EP #275


