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Comment by candiddevmike | Hacker News Reader

ML shows no signs of achieving intuition, which allows us to predict various scenarios in real time and adjust accordingly.

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Does “instead of LIDAR” mean that LIDAR solves that in some significant way?

Nope. I don’t think we’ll have Level 5 autonomy with safety on par with human drivers until we have general AI. At that point, whether or not that AGI had LIDAR supplementing its visual inputs becomes irrelevant.

Doesn’t Wayno already have level 5 autonomous vehicles operating in the Phoenix area? So far they’ve had about 65,000 driverless miles[1] (and 6 million miles with safety drivers). That number should increase pretty quickly now that they’re scaling up their service. So far it seems like the main problem is that they get rear-ended by inattentive human drivers.

1. https://www.engadget.com/waymo-indepth-details-selfdriving-a...

With camera-based sensing, you need AI to interpret the inputs in addition to AI for deciding how to react to those inputs. With LIDAR, the job of detecting objects seems to be much simpler.

Taking a relatively simple to work around example, you need AI to distinguish lens flare from an object approaching/departing.

With LIDAR the job of detecting some objects becomes much simpler but for other objects becomes impossible.

ML is intuition. Consider the difference between an expert system solution to chess and an ML solution to go. Go is all intuition.

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