I can feel a "no true ML fallacy" brewing. 'Properly trained ML' is 'accurate' until it makes a silly mistake and somebody loses an eye. Then it's "still in bet

I can feel a "no true ML fallacy" brewing. 'Properly trained ML' is 'accurate' until it makes a silly mistake and somebody loses an eye. Then it's "still in beta" with Perfect Accurate Function just around the corner, right behind Full Self Driving.