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让神经技术人工智能（HNAI）人形机器人去颠覆制造业

1.我们一切的制造工艺都可以手工吗？
我们的思维源自我们经验，我们的制造经验源自我的手工，机器的制造只是手工工具的简单加速
2.我们的手工满足标准和产量吗？
2.1什么是标准：就是你做出的产品的一致性
2.1.1 你的机器人制造产品的精度足够的高
2.1.2 世界上最精密的加工人手可以完成吗？可以，只要能够观察得到，你用手分离过细胞吗？
2.2 产量是人的效率，你会担心机器人的速度和工作时间吗？你会为机器人创造舒适的工作环境吗？
3.如果汽车生产可以被人形机器人代替，我们可以代替任何制造业工艺.
3.1 我们最早的汽车是全手工的
3.2 现在有些豪车也是手工的
3.3 当机器人的速度和效率足够高的时候，可以完全取代现有汽车生产线，做出一个客户订单一个样子的汽车，也可以做出高速大批量的军用汽车
4.为什么富士康最最优秀的代工企业
4.1 人多，产线灵活
4.2 人因工程优秀，用人代替自动化生产线
5.什么问题阻碍了人形机器人的发展？
5.1四肢的灵活度已经没有问题
5.2手的骨骼已经没有问题
5.3多传感器的自适应全仿真手
5.4在多传感器自适应机器人需要的巨量参数模型训练需求的情况下，传统算法训练时间和训练效果更加无法接受。单独的人形机器人公司根本不能胜任所有制造业的工艺学习和训练
6.神经技术人工智能能做什么？
6.1 解决机器人所有的工艺学习训练问题，直接拷贝人类提纯的智慧
6.2 人形机器人公司只需要提供一个机器人开放操作系统，后面根据用户高柔性高速安装所需的工艺知识
6.3 人形机器人公司多了以后怎么办？
6.3.1 统一的操作系统平台和标准
6.3.2 市场直接采购人脑知识
6.3.2.1 人脑知识交易
6.3.2.2 人脑神经数据立法
7.我们未来的制造业模式——无人人形机器人工厂代工
8.我们现在发展神经技术人工智能需要什么？
8.1安全：让管理者和社会放心
8.1.1 产品放心：认证
8.1.2 人脑神经数据交易放心：立法
8.1.3 对抗犯罪
8.1.3.1 企业审查
8.1.3.2 雷达脑机接口防御性司法工具

Let human neuro artificial intelligence (HNAI) humanoid robots disrupt manufacturing

1. Can all our manufacturing processes be handmade?
   Our thinking comes from our experience, our manufacturing experience comes from my hand, and the manufacture of the machine is just a simple acceleration of hand tools
2. Does our manual meet the standard and output?
   2.1 What is the standard: It is the consistency of the product you make
   2.1.1 The precision of your robot manufacturing products is high enough
   2.1.2 Can the world’s most precise machining hands do it? Yes, as long as you can observe it, have you ever isolated the cells by hand?
   2.2 Output is human efficiency, will you worry about the speed and working time of the robot? Will you create a comfortable working environment for robots?
3. If automobile production can be replaced by humanoid robots, we can replace any manufacturing process.
   3.1 Our earliest cars were entirely handmade
   3.2 Some luxury cars are now also handmade
   3.3 When the speed and efficiency of robots are high enough, they can completely replace the existing automobile production line and make a car that looks like a customer order, or a high-speed and large-scale military car
4. Why Foxconn is the best foundry company
   4.1 There are many people and the production line is flexible
   4.2 Excellent human factors engineering, using people instead of automated production lines
5. What problems hinder the development of humanoid robots?
   5.1 There is no problem with the flexibility of the limbs
   5.2 There is no problem with the bones of the hand
   5.3 Multi-sensor adaptive full simulation hand
   5.4 In the case of the large-scale parameter model training requirements required by multi-sensor adaptive robots, the training time and training effect of traditional algorithms are even more unacceptable. A single humanoid robot company simply cannot handle the process learning and training of all manufacturing industries
6. What can neurotechnology AI do?
   6.1 Solve all the process learning and training problems of robots, and directly copy the purified wisdom of humans
   6.2 Humanoid robot companies only need to provide an open operating system for robots, and then according to the user’s high flexibility and high-speed installation required process knowledge
   6.3 What should I do if there are more humanoid robot companies?
   6.3.1 Unified operating system platform and standards
   6.3.2 The market directly purchases human brain knowledge
   6.3.2.1 Human brain knowledge trading
   6.3.2.2 Human brain neural data legislation
7. Our future manufacturing model – unmanned humanoid robot factory OEM
8. What do we need to develop neurotechnology AI now?
   8.1 Safety: reassure managers and society
   8.1.1 Product assurance: certification
   8.1.2 Human brain and neural data trading is assured: legislation
   8.1.3 Fight crime
   8.1.3.1 Enterprise Review
   8.1.3.2 Radar brain-computer interface defensive judicial tools