It’s honestly not the rocket business that is the problem. Yeah, it’s risky, but it’s actually ambitious and starlink makes money. So, they have a money making product that could actually fund development of a real reusable rocket.

The actual problem is the AI money pit they slapped on to the side. The amount of money XAI spends is so insane it’s like 80% of the whole capex. Which most people dont realize because it’s still called spacex, but in reality the whole space business has become the side project for an AI company burning money at an unprecedented rate.

Nvidia when Linus flipped the bird at them.

Can we all stop using npm at this point?

Lmao, it’s more like “we can’t put it into a handheld because it’s idle power draw is around 25 watts”

Unless they did some unbelievable optimization, the rtx spark is basically the same chip as the dgx spark which idles at 25w.

To be clear, We don’t really know the architecture or model size of claude or chatgpt. If opus is a 1 trillion parameter dense model, then yes of course it’s going to be way more expensive to run than deepseak which is an 862 billion parameter MoE model. American models have focused on being the best regardless of cost where chinese model makers were forced to focus on efficiency because of lack of access to chips. Which will probably give them an advantage as the free investor money runs out for the american companies.

The constant training is simply how AI works and will continue to work chinese or american. That cost will never go away. Anytime you need your model to learn new skills or gain new knowledge, it needs to be trained.