This does not match my experience in Germany. If somebody gives you their phone number it is just expected that you can reach them on WhatsApp and i have yet to meet anyone that doesn't use WhatsApp.
This is true, but scale comes after production. Once you have the video encoded on a server with a stable connection the hard part is over. What netflix failed to do is spread the files to enough servers around the globe to handle the load. I'm surprised they were unable(?) to use their network of edge servers to handle the live stream. Just run the stream with a 10 second delay and in that time push the stream segments to the edge server
Yes, depending on thresholds which vary by state. For some you have to figure out taxes from the first transaction, for others from the 100th and then there are some that consider revenue, like $100k. At least at a conceptual level, taxes in the US seem much more complex than the EU, where you have only one tax rate per country.
On hetzner it gets you at least 4 cores, 8GB RAM and 80GB local SSD. For $49 you can almost get a dedicated server with 8 cores and 64GB RAM. More than enough to handle that load Edit: this is for $8 but general point still stands
Increasing the data volume for CCX43 to 48GB increases the bandwidth using 16 cores to 75.1. Memory bandwidth seems to scale pretty well with the number of cores on ARM. Interesting that the bandwidth for the shared AMD system is that much higher than the dedicated system
Finding peers is somewhat slow. When downloading via torrent it takes a while to really ramp up in speed. With a centralized repository you can start downloading basically right away. For many small files the latency is more important than the bandwidth, given that most repositories are not short on bandwitdth.
The trained model would likely be able understand both Alienese and English equally well, but it never learned to translate even one word or context. It might have an internal representation for "eating food" in both languages, but since since no links exists between the languages the embeddings will not be close.
You could try it on earth with if you train a model on two separate languages, being careful that the traning data does not contain any mixed language. But even then, modern Human languages most likely have too much cross-contamination. Would be an interesting experiment nevertheless
Moving away from your established life, friends, family to a country where you will (at least initially) be foreign, where the lifestyle is different are burdens that should not be underestimated.
I'm sure everybody in the EU would like US level salaries, but most wouldn't move for the money alone