The 100 sample is supposed to be true automated driving, take me from a to b. Not just the standard Lane keeping, adaptive cruise etc, which is what tesla offers with their "autopilot".

Tesla offers more than that:

https://www.google.dk/amp/s/amp.theguardian.com/technology/2...

And better yet: their 100,000 (soon to be 500,000) autopilots will gather live information from roads from several countries, weather types, etc. even when the cars are manually driven. Every day, Tesla's 100,000 cars will bring as much data for their algorithms as Volvo's 100 cars do in 3 years.

Or put in another way: unless Volvo magically have much better programmers than the IT company Tesla, they would need 3 millenia to keep up with Tesla's current fleet of 100,000 data collectors.

Those 100 will be the ones who are using an actual finished product, I am pretty sure thousands of their currently sold cars are already collecting information from their radars.

I hope Volvo's autopilot is not a finished product. The whole point of ML is to keep improving the product from what you learn.

Also, do you have any source for Volvo's current system collecting data and sending it to Volvo? We know Tesla does it but I did not know Volvo does it.

Volvo's autopilot uses cloud architecture for traffic analysis(based on other Volvos around you). Volvo has predictive, ML-Enabled Analytics which should(I don't work for Volvo) work similar to Tesla's Fleet Learning.

Thats great, except Google has already done this.

Google have yet to let the public loose in their cars on their own.