Personally I would love to see your vision succeed. Monocultures are intrinsically risky and limiting. Pretty soon we are all fish in a bowl, unable to see the

Personally I would love to see your vision succeed. Monocultures are intrinsically risky and limiting. Pretty soon we are all fish in a bowl, unable to see the water. What will it take? I am just an armchair philosopher in this respect. Like they say languages are only in part about communicating with the computer, they are about communicating with other people. So these three major tasks are really about winning over three different types of people and their peculiar brain wirings, motivations and aspirations. 1) and 2) are more introvert: mathematical types that want to express their inner abstract worlds in computer instructions in the least painful way. The famous data point is that pytorch became the tool of choice of academic ML publishing over the first mover tensorflow. Then you have the true computer nerds that love making the most of hardware and see in ML a major new stage of computing: HPC becoming mass market. 3) is more extrovert (keeping in mind the norms of the tech industry :-) developing and scaling delightful products and apps to be used by non-technical people. Erlang/elixir clearly offers something special in terms of 3) and that is important because in the end its all down to serving useful software to people.