NVIDIA 推出机器人自改进框架 ENPIRE，并反思 AI 预测的局限性
原标题：Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era
AI 摘要
NVIDIA 研究人员开发了 ENPIRE 框架，使物理机器人能够像 AI 智能体一样自主实验和学习，在 PushT 等任务上达到 99% 成功率。该框架包含环境、策略改进、评估和进化模块，但扩展时面临基础设施挑战。此外，文章引用 Matthew Tokson 的论文，指出人类常低估或高估技术影响，提醒对 AI 未来保持谨慎。
正文节选
Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era What eras bookend our interregnum? Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. NVIDIA sets up a crude self-improvement loop for real world robotics: …What if you could take the best ideas from AI agents and put them into the real world?... Researchers with NVIDIA have dev