We also have molecular rotary motors (such as the bacterial flagellar motor) that can spin at 20,000+ RPM, reverse direction in milliseconds, and convert energy to mechanical work at near-100% efficiency with almost no waste heat. Biology is extraordinarily complex, and there is still a great deal of functional engineering at the cellular and molecular scale that we have not replicated in our technology.
I agree that new discoveries continue to reveal more layers of that complexity. Where we may differ is on the trajectory of technological complexity. Rapid, even super-exponential growth in specific domains (particularly compute and AI hardware) is currently observable and measurable. Whether that continues effectively unending on human timescales, without hitting physical, material, energetic, or economic constraints, is a projection rather than established fact â" I take your point there.
On raw computational capacity, though, the comparison is already striking. Recent estimates put total global installed peak computing capacity (smartphones, PCs, data centers, AI accelerators, etc.) at roughly 3x10^{22} FLOPS. A single human brainâ(TM)s equivalent throughput is estimated in the 10^{15} to 10^{18} range depending on the model used. That puts collective human technology at roughly 10,000Ã-- to tens of millions of times the FLOPS capacity of any one brain, with the gap still widening in the compute domain.
The interesting question is how we define and measure âoecomplexityâ going forward â" raw operations per second, integrated autonomous systems, energy efficiency, self-repair and self-assembly, or something else? Biology remains the gold standard on several of those axes for now. I expect technological systems to eventually surpass it on additional dimensions as well, potentially by very large margins. The more cohesive and focused response, is appreciated. More productive. And to that, I become more flexible in my assertions. Kudos.