samhita-alla
A Modern Alternative to Slurm for ML Workloads
For example, what about a sandbox that isolates arbitrary user code in its own process using kernel-level primitives like user namespaces, Landlock and seccomp? That's the same class of problem Claude Code and Codex are solving when they execute model-generated commands, and it should also limit filesystem and network access as you mentioned. It's process-level isolation rather than VM-level isolation, but it still provides meaningful containment. What do you think?
My concern is that people often default to VM-level isolation without really thinking through what it's meant to protect against and whether they actually need it. It comes with a fairly heavy infra burden and isn't necessarily the right answer for every use case.
Are we defaulting to VM-level sandboxing before understanding the threat model?
Hey everyone, I'm Samhita and I work at Union.ai. We've been building infrastructure for running agents and building models, which naturally got us thinking a lot about sandboxing. One thing I've been wondering: are we overusing heavyweight sandboxing solutions?I think some form of isolation is non-negotiable when you're running model-generated code. Things like process isolation, filesystem...
What it took to make a multi-agent trading simulation durable and observable
Open-Source Video Dubbing
How I dubbed a 16-second video with lip sync for $0.50 using open-source models
Plane One: Pay once, use forever project management tool
And I wrote the entire content myself.