Do I understand correctly that nearly all issues were related to counting (i.e. numerical operations)? that makes it still impressive because you can do that client-side with the structured data
HN user
NeedMoreTime4Me
If this works, it’s a legitimately good idea. Otherwise the thief might realize he can’t connect and try to wipe the device directly.
Incredibly well-designed application!
Anki Import worked perfectly (except MathJax) and the there are many well thought out details. Thanks for the tip.
I think this is just a propagation of the issues larger organizations may generally have with dependencies. You don’t want your applications be dependent on the update cycle of other organizations/individuals. What if the bug fix does not get merged into the master fast enough? Do you fork? When do you recombine again?
But otherwise I agree, sharing code and making it better for everyone as well as delegating complicated parts of the application to others are well practices.
Do you have an anecdotal guess on the scalability barrier maybe? Like does it take too long with more than 10,000 data points having 100 features? Just to get a feel.
You are definitely right; there are numerous classic applications (i.e. outside of the cutting-edge CV/NLP stuff) that could greatly benefit from such a measure.
The question is: Why don’t people use these models? While Bayesian Neural Networks might be tricky to deploy & debug for some people, Gaussian Processes etc. are readily available in sklearn and other implementations.
My theory: most people do not learn these methods in their „Introduction to Machine Learning“ classes. Or is it lacking scalability in practice?
Im not sure if I understand this correctly but wouldn’t this prevent other sites from being able to emerge in the future? Basically a forced monopoly on currently popular sites.