SpeechLoop VS firefly-boot

I created a toolkit to evaluate many different speech recognition engines.

https://github.com/robmsmt/SpeechLoop

Comparing speech systems can take a long time esp for a dev who doesn't have the background in audio/ml. How do you know which one will work best? Will new shiny transformer model perform well enough? Most end up using one of the big tech companies existing API to throw their data at. Whilst this is convenient, I think that it's a travesty that opensource speech systems have not are not as easy to use. I was hoping to change that to make it easy to evaluate and compare them!

Checkout: https://github.com/robmsmt/SpeechLoop looking for feedback on:

I made this to make it easy[ish]).... check: https://github.com/robmsmt/SpeechLoop

Firefly, curly braces:

I'm still working on Firefly, a language with first class capabilities.

Since there's no other way for `deleteDirectory` to obtain capabilities than to recieve them as arguments, `deleteDirectory` only has access to the file system.

[1] https://github.com/Ahnfelt/firefly-boot/tree/master/compiler

> Do you have more to share, like resources about capability-safe languages, or your ongoing work?

I can share an example from the main function of the [self hosting Firefly compiler](https://github.com/Ahnfelt/firefly-boot/tree/master/compiler):

    main(system: System): Unit {

I'm working on Firefly, which will compile to JS once bootstrapping is complete (almost there).

Still working on typechecking Firefly with the help of a friend.

Working on the type inference for Firefly. I don't have a lot of free time at the moment, so it's coming along slowly.

Firefly uses object capabilities for enforcing purity:

In Firefly, this is done without macros:

Firefly - self hosting, working on the type inference.