Things us hard sci fi fans will insist on:
- You have significantly undercounted transistors. As of 2024 you can put up to 8.4 terabytes of LPDDR5X memory into an NVidia Grace Blackwell rack. So that's 72 trillion transistors (and another 72 trillion capacitors) right there.
- A GPU executes significantly faster than a neuron.
- The hardware of one GPU can be used to simulate billions of neurons in realtime.
- Why limit yourself to one GB200 NVL72 rack, when you could have a warehouse full? (what happens when you create a mind that's a thousand times more powerful than a human mind?)
You really need to separate the comparison into state (how much memory), and computation rate. I think you'll find that an NVidia GB2000 NVL72 will outperform a brain by at least an order of magnitude. And the cost of feeding brains far exceeds the cost of feeding GB2000's. Plus, brains are notoriously unreliable.
The current generation of public-facing AIs are using ~24Gb of memory, mostly because using more would cost more than can conveniently given away or rented out for pennies. If I were an evil genius looking to take over the world today, I'd be building terabyte-scale AIs right now, and I'd not be telling ANYONE. And definitely not running it in Europe or the US where it might be facing imminent legislative attempts to limit what it can do. Antarctica, perhaps.