mansoor_

If the contents of the PDF were any more vague, it could be replaced by whitespace.

Can you tell us about the tech stack you used and why?

FYI newer builds of GCC have this functionality.

Note that you will always have this problem, because the data it is trained on has its own biases.

It is amazing how well community moderation works for Wikipedia, but it doesn't seem like the same model translates well to SO.

A summary can also be considered opinionated and a conversation starter.

10/10

I wonder how this will affect latency,

Not really. For a trivial function fitting problem, a KAN will allow you to visualise the contribution of each base function into the next layer of your network. Still, these trivial shallow networks are the ones nobody needs to introspect. A deep NN will not be explainable using this approach.

Waymo is 15 years old,

If it were publicly traded, it would have a P/E of 600.

I'll help you out since you don't read, a normal P/E is 20-30. To say it is not a great financial investment is unequivocal. It is effectively a write-off for the foreseeable future.

But that is not to say you shouldn't invest in difficult problems and try to solve them, even if they don't make money. This is one of them. I hope people do the same for other challenging problems.

Imagine thinking a 0.5% return on investment is a good use of money when treasury bonds return almost 5%.

The total investment is now approx $10B, with a revenue of $ 50 million (projection). Not great.

Yeah, they don't pay drivers, but their cars' hardware costs mean that they won't break even with human-driven taxis for quite some time (unless they manage to decentralise the computing).

To put some rough numbers to this, the sensor set in each car, is probably ~$75K (was initially $150K).

When you have a tax bill like Alphabet's, these investments/write-offs seem less foolish.