็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

Trishool | SN23
@trishoolai
Bittensor Subnet for AI Alignment | Operated by @astrowareai
ๅ‚ๅŠ  November 2025
64 ใƒ•ใ‚ฉใƒญใƒผไธญ    1.2K ใƒ•ใ‚กใƒณ
Weโ€™re excited to announce that Trishoolโ€™s HaloGuard 1.0 ๐ก๐š๐ฌ ๐š๐œ๐ก๐ข๐ž๐ฏ๐ž๐ ๐’๐Ž๐“๐€ prompt-safety performance among open-weight guard models. Today, we present HaloGuard 1.0, a constitutional input classifier for multilingual AI safety. It is built as a first-layer input guard that checks user prompts before they reach a downstream LLM, agent, or application. This is part of the safety infrastructure being built through @trishoolai , our decentralised AI red-teaming subnet on Bittensor SN23. Full arXiv paper goes live soon.
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