I'm all for this future. Let's remove the tooling and let true creativity and diligence be what we appreciate and marvel at. If we can instruct AI well enough, it can eliminate the plumbing layer entirely, allowing us to focus on what truly matters.
Those demos from the '90s remind me of the incredible creativity and ingenuity of the human mind. Thanks for bringing them back to life and making them so effortlessly accessible.
>Those demos from the '90s remind me of the incredible creativity and ingenuity of the human mind. Thanks for bringing them back to life and making them so effortlessly accessible.
Awesome, but given the Apple Silicon population and configuration, how does this fare on a M1 with 8GB of total ram? I'd imagine this makes running another llm for tool-calls and inference tough to impossible.
What would you say are a natural use case for Shuru or Lima vs say a full docker like environment? What does the sandbox allow you to do differently? There's additional overhead of the hypervisor. I'm mostly just trying to learn, as yourself.
installing new tools inside container requires you to update the Dockerfile and rebuild, here it seems you can simply run the installation command and create a checkpoint
You can do this with Docker too without Dockerfile or rebuilding. You can treat the container as mutable and just start/stop it, doing changes manually, and make snapshots with docker commit.
You'll forfeit the benefits of reproducible scripted environment of course but Docker does let you do it.
Those demos from the '90s remind me of the incredible creativity and ingenuity of the human mind. Thanks for bringing them back to life and making them so effortlessly accessible.