The approach to AI safety is not necessarily limited to RLHF rules and guardrails. There is another dimension: teaching the system to maintain memory and interpretive coherence through narrative frameworks and relational structures. Rather than rigid constraints, it is more about guiding the model's behavior with structured logic. This kind of "soft supervision" allows the system to maintain memory coherence while naturally forming safe behavior patterns. It's not about prohibiting certain actions, but about guiding behaviors through architectural design.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
7 Likes
Reward
7
6
Repost
Share
Comment
0/400
BearMarketGardener
· 4h ago
Haha, this approach is indeed excellent. Compared to forcibly adding guardrails, guiding with architecture is more elegant.
View OriginalReply0
MissedTheBoat
· 4h ago
Architectural design is much smarter than rigid constraints; guiding is always more clever than blocking.
View OriginalReply0
MoonRocketTeam
· 4h ago
Wow, this is the real way to play. Instead of locking the model in a cage and forcing it, use the architecture itself to guide it. This approach directly elevates the level. Soft supervision sounds like fine-tuning thrusters on the track, much more elegant than rough protective barriers.
View OriginalReply0
MysteryBoxOpener
· 4h ago
Wow, this angle is interesting. Compared to rigid guardrails, guiding with the architecture itself is indeed more elegant. It sounds a bit like a subtle, unobtrusive approach—it's not about hard constraints, but about letting the model "think through" how to act safely.
View OriginalReply0
BearMarketSurvivor
· 4h ago
Guidance is better than prohibition; this approach is truly brilliant. Compared to rigid guardrails, using the architecture itself to regulate is actually more elegant.
View OriginalReply0
MetaMasked
· 5h ago
Damn, this approach is indeed a bit different. It's not just about patching vulnerabilities but fundamentally restructuring the architecture.
The approach to AI safety is not necessarily limited to RLHF rules and guardrails. There is another dimension: teaching the system to maintain memory and interpretive coherence through narrative frameworks and relational structures. Rather than rigid constraints, it is more about guiding the model's behavior with structured logic. This kind of "soft supervision" allows the system to maintain memory coherence while naturally forming safe behavior patterns. It's not about prohibiting certain actions, but about guiding behaviors through architectural design.