We take this very seriously and will continue to improve our safeguards and invest in this vital work."
作为曾在苹果嵌入式AI研发中扮演关键角色的人物，庞若鸣参与领导的基础模型团队，是AppleIntelligence尝试在端侧实现隐私与性能平衡的重要技术力量。这种端侧架构曾被视为苹果在AI博弈中的差异化优势。
。纸飞机官网对此有专业解读
06-10 00:05:59.265 0 0 E [T201019] SELinux: avc: denied { find } for pid=11375 uid=10184 name=oiface scontext=u:r:platform_app:s0:c512,c768 tcontext=u:object_r:default_android_service:s0 tclass=service_manager permissive=0
In the twenty years after the draft human genome was first released, the average sequencing cost per genome fell roughly one hundred thousand-fold, ending up just north of $500. In that same period, the cost to sequence a million letters or “megabase” of DNA fell to six tenths of a cent.2 This plummeting price is due largely to technological innovation, including new sequencing chemistries, computational methods for assembling raw reads into finished genomes, and highly efficient commercial sequencing machines.