Riany

Token savings is more and more important, but it also important if the agent trusts the result and stops searching. it should measure the full agent loop instead of just the search output

That's good that all pilots ejected safely. But what if it fails? Still, losing two specialized aircraft during an airshow feels like very expensive, I doubt if it's really worth it to risks these pilots life on it

the idea is good, but the examples still feel like a distance to handle real constraints and dimensions

I think is useful cuz it removes setup friction for beginners, who can just focus on Rust and embedded concepts instead of fixing wiring and board differences

The best part is you don't have to stay at home waiting codex thinking, you can go out grab a coffee while connect your Codex and ask it to work

The gaming part is fun, so does the local AI numbers. As fast prefill changes the whole experience, it makes local inference feel practical

I had the same question and if this is a data-only attack, the lesson may be that MIE reduces many attack paths but does not remove every useful corruption primitive

I think local models need to be good enough that privacy, latency, and control become worth the tradeoff, instead of beat the best cloud models

losing SOS/cloud features is real cost, but so is having an always-on telemetry device in a thing you own. this should be a software setting and a clear privacy contract

My guess is deterministic assignment makes load distribution and debugging easier. But for a privacy product, that convenience probably needs to be reconsidered

surprising that the mapping may be stable enough to become a user-level signal. and rotating away from deterministic assignment seems like a cheap way to avoid creating an extra fingerprint