A tale as old as time. The US nuclear missile codes were 000000, but it didn’t matter. The chain of command was purpose-built, ironically, so the front line soldier in a cold war scenario had to make the last decision to delete all life on the planet. Chain of command doesn’t matter at that point. You are choosing to kill everyone you know from an order from who knows who. The ultimate checksum.
You will always be better at decisions than an n-dimensional matrix of numbers on an overpriced GPU.
If you are complete novice then obviously not but I think anyone reasonably proficient in a language would be able to identify optimisations that an AI just doesn’t seem to perceive largely because humans are better at context.
It’s like that question about whether it’s worth driving your car to the car wash if the car wash is only 10 metres away. AIs have no experience of the real world so they don’t inherently understand that you can’t wash a car if it’s not at the car wash. A human would instantly know that that’s a stupid statement without even thinking about it, and unless you instruct an AI to actually deeply think about something they just give you the first answer they come up with.
What’s why they’re pushing for the datacenters, they want to turn make every query that deep. The tech is here, but the ability to sustain it isn’t. They build the data centers, kick the developers out, depress the education market for it, and then raise the prices.
Companies will be paying the AI companies 60k per year per seat in a decade.
This is a bold claim I will not make.
A tale as old as time. The US nuclear missile codes were 000000, but it didn’t matter. The chain of command was purpose-built, ironically, so the front line soldier in a cold war scenario had to make the last decision to delete all life on the planet. Chain of command doesn’t matter at that point. You are choosing to kill everyone you know from an order from who knows who. The ultimate checksum.
You will always be better at decisions than an n-dimensional matrix of numbers on an overpriced GPU.
If you are complete novice then obviously not but I think anyone reasonably proficient in a language would be able to identify optimisations that an AI just doesn’t seem to perceive largely because humans are better at context.
It’s like that question about whether it’s worth driving your car to the car wash if the car wash is only 10 metres away. AIs have no experience of the real world so they don’t inherently understand that you can’t wash a car if it’s not at the car wash. A human would instantly know that that’s a stupid statement without even thinking about it, and unless you instruct an AI to actually deeply think about something they just give you the first answer they come up with.
What’s why they’re pushing for the datacenters, they want to turn make every query that deep. The tech is here, but the ability to sustain it isn’t. They build the data centers, kick the developers out, depress the education market for it, and then raise the prices.
Companies will be paying the AI companies 60k per year per seat in a decade.
What makes you think there will be a decade passing with any result to exist from here?