throwaway85825

Infinite context requires Infinite memory.

That's the push factor. The pull is, say there's a giant repo like windows or Adobe. LLMs produce spaghetti code because the repo doesnt fit in the context and it wasn't in the training set. If Adobe fine tuned it the LLM would be much more useful.

I would take that number with a huge grain of salt since the useless Google search ai box consumes Gemini tokens.

Intentional Gemini token consumption is likely very very small.

It's going to be all about the training set. Theres no moat in models trained on internet data.

There are tons of private datasets where a model will be fine tuned to provide useful domain specific responses.

It's not just the maximum refresh rate, the variable refresh rate allows for power saving.

'AI' still fails the alignment grannybench.

If they had charged people the economic price up front instead of intentionally bait and switching this wouldn't be controversial.

1. No rockets

Drones are extremely weight sensitive. Adding a heavy thruster would massively eat into the payload.

Trucks are also weight limited by the 80k rule. Brakes are far superior.

Nitrogen specifically

This is going to be the next oceangate and I fully support it.

I'll bite. What do you see as applications of for commodity cold gas thrusters? Excluding rockets.

I accidentally went to a DSA meeting once. Was entertaining, they spent much of the time attacking eachother.

Much of this was taken back into government control after Wagner shot down government helicopters and a plane.