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General Motors Held Talks With RTX, Other Defense Contractors on Boosting Production
General Motors Co. has held discussions with RTX Corp. and other defense contractors about helping weapons makers increase production. According to Bloomberg, expanding output is a key demand of the Trump administration.
A thing I've noticed lately is that markets love owning things, but they rarely spend much time thinking about what those things actually produce.
A few years ago people chased blockspace. Then liquidity. Then data. Now everyone talks about AI models. The model became the asset. Or at least that's the assumption.
I'm not sure that's where the value ends up.
When I started looking at OpenGradient, what kept pulling me back wasn't the AI narrative itself. It was a smaller question. What if inference becomes the thing that matters economically?
Not the model sitting idle somewhere. The actual act of generating intelligence when someone needs it.
That changes the picture a bit.
An AI agent requests inference. Compute providers fulfill it. The network verifies it happened. Fees move. Another request arrives. Then another. Eventually you're not valuing AI because it exists. You're valuing a stream of intelligence production.
I think that's where the market gets uncomfortable. Inference starts looking less like software and more like infrastructure.
Of course, plenty can go wrong. Networks can manufacture activity. Incentives can disguise weak demand. Traders have seen that movie before.
So when I watch OpenGradient, I don't really care how loud the story gets. I'm watching for something much simpler.
Do requests keep coming back when nobody is paying users to stay?
Because that's usually where narratives stop and assets begin.