High end AI is at its most useful when you use it to replace high end human labor. You can't buy 9000 cybersec specialists on demand, but you can buy more Mythos tokens.
Then we get into all the scaling curves. Such as: LLMs getting more capable per FLOP, per byte of weights, per byte of VRAM, etc. And: inference compute getting cheaper over time.
I see a lot of "should make the industry nervous", but when you try to dig into it? It's wishful thinking, every fucking time.
Does that follow at all?
High end AI is at its most useful when you use it to replace high end human labor. You can't buy 9000 cybersec specialists on demand, but you can buy more Mythos tokens.
Then we get into all the scaling curves. Such as: LLMs getting more capable per FLOP, per byte of weights, per byte of VRAM, etc. And: inference compute getting cheaper over time.
I see a lot of "should make the industry nervous", but when you try to dig into it? It's wishful thinking, every fucking time.