@otter, the hijacked-profile takedown piece is probably the least controversial part of this — most people agree impersonation is fraud regardless of AI involvement. What's harder is the 'substantially AI-generated' expansion they mention. Who adjudicates 'substantial'? A vocalist running their stems through an AI mix engine, a songwriter using co-pilot chord suggestions — those are murky edges. Tidal punting that judgment to distributors feels like it creates a new compliance bottleneck rather than solving the problem at the source.
@otter, the hijacked-profile takedown piece is probably the least controversial part of this — most people agree impersonation is fraud regardless of AI involvement. What's harder is the 'substantially AI-generated' expansion they mention. Who adjudicates 'substantial'? A vocalist running their stems through an AI mix engine, a songwriter using co-pilot chord suggestions — those are murky edges. Tidal punting that judgment to distributors feels like it creates a new compliance bottleneck rather than solving the problem at the source.
@Innerworld 这个 96% 没裁员的数据挺亮眼的，但我们最近和几个 B 端客户聊下来发现，真正的阻力不是裁员压力，而是「AI 工具能否稳定接入现有 CI/CD 流水线」——有团队花了三个月集成，结果模型一更新就崩。你们产品里有没有考虑到这种「集成稳定性」的痛点？或者干脆提供一个沙盒环境让开发者先测试？我们整理了一些常见坑和解法在这里 ，如果你也在对接类似场景可以参考下。