I would add quick note to this as title is misleading
* It was partially open-sourced before this. There were a lot of cool things they open sourced before like MAX for large scale LLM serving which was outperforming VLLM, Dynamo, etc on a lot of models. (super valuable GPU kernels). This is why Qualcomm acquire them imo.
* Chris (also created swift) talked in the past the reason for not fully open-sourcing was more because he wanted to get all the core design decisions right. He said this was a big thing Swift got wrong as it scaled too quickly being fully open source at the beginning.
Mojo is an awesome language, I've used it a lot as a Swift/Python lover. A couple things though
* If you want to understand Mojo spend 10x the time in MLIR before. It's just a fancy MLIR wrapper (good thing)
* They still haven't lived up to the python "superset" promise and that's the big thing preventing bigger adoption.
* It was partially open-sourced before this. There were a lot of cool things they open sourced before like MAX for large scale LLM serving which was outperforming VLLM, Dynamo, etc on a lot of models. (super valuable GPU kernels). This is why Qualcomm acquire them imo.
* Chris (also created swift) talked in the past the reason for not fully open-sourcing was more because he wanted to get all the core design decisions right. He said this was a big thing Swift got wrong as it scaled too quickly being fully open source at the beginning.
Mojo is an awesome language, I've used it a lot as a Swift/Python lover. A couple things though
* If you want to understand Mojo spend 10x the time in MLIR before. It's just a fancy MLIR wrapper (good thing)
* They still haven't lived up to the python "superset" promise and that's the big thing preventing bigger adoption.
* https://www.spheron.network/blog/modular-max-mojo-gpu-cloud-...