This seems cool for a lot of normal faas

I keep wanting a flow like this to work for faas python data science sandboxed serving, esp @ scale -- python interpreters talking to cpython kernels and one day GPU passthrough -- but the experience leaves me wondering about wasm on the backend in general

Basically, coldstart overhead + overall runtime overhead + inability to use GPU mean it'll be awhile yet for something you want to run. The former may be partly about pyodide (but not entirely?), but the latter seems to be about wasm

Comparatively, firecracker VMs seem to solve a lot here. Though still a lot you have to role out on your own to actually scale untrusted code here vs just say fargate

I feel like I must be missing something.. am curious.