Mira Murati的新实验室发了篇论文，讲怎么让用户自己掌握模型权重，还拿LoRA举例，挺接地气的。
Thinking Machines Lab发布论文《The Future Worth Building Is Human》，将人类参与和模型所有权纳入技术挑战。论文以Tinker的LoRA微调为例，说明团队可训练并保留自己的模型权重。该方法强调去中心化对齐，允许用户控制模型行为。交互模型被重新设计以支持个性化调整。
Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights
Thinking Machines Lab published "The Future Worth Building Is Human." The essay frames human participation, model ownership, and decentralized alignment as technical challenges. It ties them to interaction models and Tinker's LoRA fine-tuning, where teams train and keep their own model weights. The post Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights appeared first on MarkTechPost .