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Sounds a lot like "self-driving" cars - "they are good enough 95%+ of the time, you’re not going to pay as much attention as you should".

Same thing happens here, you get complacent and miss critical failures or problems.

It's also similar in that it "take[s away] many of the fun parts". When I can focus on simply driving it can be engaging and enjoyable - no matter the road or traffic or whatever.



>Sounds a lot like "self-driving" cars - "they are good enough 95%+ of the time, you’re not going to pay as much attention as you should".

That might be an issue for supervised "self-driving" cars (eg. tesla FSD), but not really applicable to self driving cars as a whole. Waymo seems to be doing just fine for instance.


Aren’t Waymo‘s 5% covered by some people in the Philippines? [1] And aren’t they still failing occasionally? [2]

[1](https://www.techspot.com/news/111233-waymo-admits-autopilot-...) [2] (https://www.bloomberg.com/news/articles/2026-01-23/waymo-pro...)


>Aren’t Waymo‘s 5% covered by some people in the Philippines? [1]

If you look at waymo's prior blog posts, you'll realize that the people in Philippines aren't making split second decisions that was implied by "you’re not going to pay as much attention as you should".

https://waymo.com/blog/2024/05/fleet-response

>And aren’t they still failing occasionally? [2]

What's the failure rate of humans? For both AI drivers and coders, if they make less mistakes than humans, that's still a win.


> What's the failure rate of humans?

5x more than Waymos, last I saw.


Exactly why I put "self-driving" in quotes. Right now AI assisted coding might generally be at the equivalent of Level-2 or -3 self-driving. Getting to autonomous coding agents will be like the step change that is Level-4 or -5 driving.




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