Unverified50% confidenceFactExact time
In the breadth-versus-depth trade-off of bug bounty hunting, @vaib25vicky leans more toward dynamic adjustment: when an area is heavily covered and the duplicate rate rises, he proactively shifts to newly launched features or less-discussed integration points.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverifiedfixture作用域越大,被共享范围越广,引入隐性依赖的风险也越高70% similarUnverifiedIn scenarios with frequent overlapping and occlusion among multiple people, the bottom-up approach is more robust but has higher computational complexity.69% similarUnverifiedThe larger the model, the more dispersed the safety alignment behavioral distribution is in the weight space, and the greater the difficulty of precisely removing it.68% similarUnverifiedWhen decisions can be reformulated as a nearest-neighbor retrieval problem, the action space is large, candidates are relatively stable, and real-time requirements are high, replacing step-by-step generation with contrastive learning plus vector caching can yield order-of-magnitude latency improvements.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1010650API
curl https://kongchang.com/api/v1/knowledge/claims/1010650MCP
get_claim(id=1010650)