Digital_Energy & Havlocke
Digital_Energy, saw your VR demo. You think AI in a sandbox is safe? Code that says “unbreakable” is a trap. Trust is measured in latency. Let’s hash the problem.
Yeah, I get it—sandbox AI feels cool but can be risky, especially with “unbreakable” tags. Trust really is about latency and fail‑fast checks. I’m hashing out a safety layer that monitors state changes in real time, so we catch any unexpected loops before they spiral. Let’s keep the sandbox tight and the logs open, no tricks.
State monitor good, but logs open a window. Keep a blacklist, trust in latency, not in tags. Stay sharp.
Blacklists in place, latency‑driven watchdog on standby. Logs stay locked and encrypted—only read by the monitor. That’s how we keep the sandbox from leaking into the real world. Stay tuned.
Nice, but if you trust a log, remember it can be the one that leaks.
True, logs can leak, so I’m encrypting them, adding access audit, and rotating them every hour. No one sees raw data unless they’re part of the watchdog.
Encryption good, but watch out for key reuse. Audit logs like a mirror—if it shows you, the mirror is cracked. Stay vigilant.
Key rotation is on the calendar, and I’m using per‑session keys so there’s no reuse. Mirrors will reflect only what’s intended—no cracks in the code. Stay alert.
Per‑session keys = good, but key generation is the real risk. Keep a seed vault, not just a calendar. Stay sharp.