You’d need to demonstrate that. Humans are insanely fast.
Your link does not address reaction time as typically defined. It addresses the entire response. Need to compare the same things.
FSD is 300-400ms from "photons in" to "control out". There's no further lag; if the "control out" tells the car to brake, the deceleration starts right away. FSD doesn't have a slow analog nerve impulse that has to travel from brain to foot, and it doesn't have a physical foot to move from accelerator to brake and start pressing it. Whatever time it takes a human to do all that, FSD doesn't have that lag. In emergency-braking scenarios, FSD’s reaction time (photons-to-deceleration) has been
empirically measured in the real world at 300ms, whereas human+car photons-to-deceleration latency is more like 1500ms. That’s the apples-to-apples comparison.
In future obviously it could be way better. But right now it sucks.
I suspect this perception is mostly a training issue, not a response-time issue. I.e. the neural net seems slow because it doesn't think it's time to brake yet, perhaps because it's trained to simulate human response time for non-emergencies, not because it hasn't taken the input into account. With improved training, it may start braking sooner in the situations you think it should.
Right now I consistently routinely absolutely devastate FSDS on reaction time. (And response time, if you prefer to compare on that basis.)
How are you measuring this? Again, I think the perception is because the neural net thinks it isn't time to act yet, not because the neural net hasn't fully processed the input. In non-emergency situations, it's probably simulating slow human reaction time, because that's what it's been trained to mimic.
Even if it sometimes prevents an accident that I would otherwise have, that does not nearly make up for the shortcomings.
FSD can prevent many accidents and dramatically increase the accident rate!
Oh, no question v12.3.6 makes mistakes left and right. The architecture is undoubtedly capable of far higher reliability and correctness than it's currently achieving, and its current version makes a lot of bad decisions, including to not act when it should. My point is that when it does make a correct decision to act in an emergency situation, it can act (or to be more precise, it can cause the car to act) much faster than a human could.