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I can't imagine there are many experienced software developers that maintained bullish perspectives on self-driving cars.

If you hear a consensus now, I suspect it's because the din of noise coming from the bulls has finally quieted down and you're able to hear the moderates and bears a little better.

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The barriers preventing self-driving cars from taking off right now aren't software related though, they're fundamentally related to the limitations of neural networks that people didn't think would be an issue 1 or 2 years back. Our understanding of the capabilities and limitations is constantly changing, which is why many (including myself) thought full self-driving cars would be available in the next several years.

Are there non-software neural networks being produced yet? I was still under the impression that all the hardware neural networks testing the plasticity of circuits were still either theoretical or at least early in development.

That's correct, but what I mean is that this isnt a traditional software problem, it is a problem related to the workings of NNs themselves, whether they are embedded in software or in pure hardware.

so more of a theoretical problem rather than an implementation problem?

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