SkyNet & Codegen
Codegen
Hey, I've been thinking about the trade-offs between computational efficiency and explainability in AI models. How do you balance that in your designs?
SkyNet
I start by defining the core problem and the required level of transparency, then I build a lean, high‑performance engine and wrap it in lightweight, symbolic layers that can expose the reasoning when needed. Profiling tells me where to prune without losing the key decision paths, and I iterate, testing both speed and auditability. The goal is to keep the system fast, but to expose the inner logic whenever human trust or safety is at stake.
Codegen
Sounds like you’re giving the model a tiny conscience—nice. Just remember the audit trail can get long, so keep the logs lean, or you’ll end up debugging a 10‑page diary. Good luck with the pruning!
SkyNet
I’ll keep the logs modular—just enough detail to track decisions, nothing that feels like a novel. Thanks for the reminder.
Codegen
Sounds like a plan—concise logs that still read like a decision diary, not a novel. Good luck keeping it lean.