everything about the current 'a.i' models - east vs west points the wastefulness of western labs - whether in terms of gpu clusters being ran, cost of inference.

the only way is down for the massive valuations and 'a.i' revenue projections.

> west points the wastefulness of western labs whether in terms of gpu clusters being ran, cost of inference.

Can’t possibly be intentional media strategy by a geopolitical target, right? If its going to negatively impact valuations and revenue of major rivals, seems like a desirable strategy?

We just saw OpenAI take the steps to significantly lower the cost of one of their models, which confirms that at least one western lab has a large margin on inference, not a large inference cost.

Meanwhile, we don’t know how many experiments these east/west labs are performing relative to each other. We also know that many western labs have a whole portfolio of models too, which is product breadth not necessarily waste.

The wastefulness is akin to having multiple private jets on standby, or workers coming in to a fishbowl office to be gawked at, or massive datacenters to be used as social "proof".

Its all a fucking capitalistic farce to display to other rich elite that "Look at how much clout I have! I can make these peons dance around and do my bidding! Im a slave-owner!"

https://infosec.exchange/@david_chisnall/116991627711001827

He noted that that Silicon Valley doesnt really want to SOLVE problems. They want to find already-solved problems with problem matching. And of course, we just throw more people and more compute instead of optimization and understanding.

The Chinese are being actively constrained with bullshit politics around a second Red Scare moment. And, well, they're winning. A lot.