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Google Keep, as suggested by others here. I'm sceptical though, since I'm using both apps now but feel that they are very complementary. Might just be habit.


There's also Spotify family. I'm paying 15 USD for 5 (extended) family members. Dirt cheap. Discover weekly is amazing. Wish for the best for Spotify.


Also have this. Perfect size on this phone, and waterproof. Looks almost new after two years.


Would be awesome if this could be used to generate a Kahoot quiz: https://kahoot.it/


I have had quite a few issues with Spotify on OSX, but not any issues like this lately. The forum post is old, and the most recent answer is from June last year. Is this really still relevant?


I've had it happen in late 2016. Threads about this issue come and go:

https://community.spotify.com/t5/forums/searchpage/tab/messa...


Another example of 1): Stranda in Norway, where the picture is looks like Ålesund. Which is relatively close but seems misleading.


Care to elaborate?


I disagree with the above, but I think I can shed light on what they might mean. Usually, control theory (which is used in most manufacturing processes) requires quite a bit of background knowledge on the processes at hand along with fairly powerful (mathematical/physical) tools to both approximate and model such processes, along with creating systems that use these models to perform the desired task.

I believe that the parent post means that with current simulation-based tools and large amounts of data generated from manufacturing processes, one can work directly with abstract machine learning models instead of creating physical models or approximations thereof---thus being able to dispose of the mathematical baggage of optimization/control theory and work with a black-box, general approach.

I disagree since we have very few guarantees about machine learning algorithms relative to well-known control approximations with good bounds; additionally, I think it's quite dangerous to be toying with such models without extensive testing in industrial processes, which, to my knowledge is rarely done in most settings by experts, much less people only recently coming into the field. Conversely, you're forced to consistently think about these things in control theory, which I believe, makes it harder to screw up since the models are also highly interpretable and can be understood by people

This is definitely not the case in high-dimensional models: what is the 3rd edge connected to the 15th node in your 23rd layer of that 500-layer deep net mean? Is it screwing us over? Do we have optimality guarantees?


The same idea is used in Norway. Most banks and public services (e.g. tax returns) use this system for online two-factor authentication.

[1] https://www.bankid.no/en/


Didn't NIST just say two factor via mobile is a "bad idea"? Have Norway or Estonia responded?

EDIT: Thank you whoever downvoted an honest question that added to the discussion


The bad idea is being sent a (potentially interceptable) SMS with a code.

The Estonian method is described as using a private key present on the SIM card, just like a normal smart card used for authenticating/signing.


That's how every bank I know in Australia, at least 2 US banks and 4 European banks do it. Transfer (sometimes login too) ? Code over SMS.

Besides, pretty much all banks simply use 2 or 3 factor authentication as an anticompetitive tactic (half the businesses in most countries pay the banks 2-300$ per month just for scheduled download of transactions)


I think that was for SMS, not specifically mobile.


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