张雅楠zeyarna的博客

由艺术家蔡明春晚节目和近几日社会神经技术科技肇事进行的相关学术解释和辟谣

1、由艺术家蔡明春晚节目和近几日仿冒蔡明声音骚扰的理解
1.1 艺术家蔡明春晚内容：社交机器人居家养老感情安慰
1.2 经济背景养老产业机器人需求
1.2.1 老年人失去伴侣独身情况极多
1.2.2 老年人因孩子工作生活离开无感情安慰情况极多
1.2.3 老年人多病且不能自主生活极多，给家人造成了长期个人生活时间占用和重体力护理产生的感情和经济压力
1.2.4 社会养老无法保证长期的亲人似的感情安慰
1.3 技术背景社交机器人感情安慰
1.4 艺术家蔡明春晚的机器人情商距离顶级的伴侣关系相距甚远，而且受到舞台表演道德的有严苛限制。
1.5 自ChatGPT4.0以后的声音模拟技术
1.5.1 自2022年ChatGPT4.0以后计算机声音模拟技术已经完全可以迷惑任何人类
1.5.2 国外公开曝光的模仿美国两届元首对话以及迷惑美国政府导致政府混乱的情况不止一次。

2、本人提出神经技术人工智能理论
以抽取人类大脑神经数据并且提纯后获取专业智能的计算机知识管理办法，但对社会应用，仅支持机械自动化（https://zeyarna.blog/2025/08/10/%e5%85%b3%e4%ba%8e%e6%9c%ac%e4%ba%ba%e7%8b%ac%e5%88%9b%e7%9a%84%e4%ba%ba%e8%84%91%e7%a5%9e%e7%bb%8f%e6%8a%80%e6%9c%af%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%9a%84%e5%ad%a6%e6%9c%af%e8%a7%a3%e9%87%8a/）

3、感情安慰
3.1 感情需求的交流弥补
3.2 购买者因性格和环境状态千变万化所带来的感情安慰者技巧和性格的千变万化
3.3 世界上从来没有过一个感情样本能让所有人在私生活中都喜欢的
3.4 很难找到质量很高的感情安抚者神经数据，现实人感情安慰者（如亲人）自身承担着流泪小丑的角色，自身心理可能极度灰色，自身神经数据质量很差，只能通过行为数据进行训练，这与直接观察训练没有任何区别

4、神经技术介入社交机器人的两种办法
4.1 神经数据训练大模型
4.1.1 样本数据训练
4.1.2 购买者亲人数据训练
4.1.3 购买者自身数据训练
4.2 神经数据直接生成
4.2.1 样本数据直接生成
4.2.2 购买者亲人数据直接生成
4.3 安全问题
4.3.1 人脑数据中的隐私曝光问题
4.3.2 人脑神经数据所有权问题

5、购买后使用购买者神经数据训练
5.1 必然是无线脑机接口乃是雷达脑机接口，目前必然是云计算
5.2 数据安全问题：人脑数据中的隐私曝光问题
5.3 设备安全问题
5.3.1 雷达脑机接口泛滥，以及潜在的严重犯罪
5.3.2 相关人脑大数据样本社会泛滥，本地计算更甚
5.3.3 云计算数据所有权被侵占问题
5.4 产品成瘾性问题
成瘾性甜言蜜感情安抚，导致脱离现实生活，经济情况可能加剧恶化
5.5 替代方案（行为观察法）
5.5.1 购买者对于机器人的感情表达提防降低
5.5.2 夫妻生活理论，以及人类交流的最高境界
5.5.2.1 底层生物性的道德合法化
5.5.2.2 对于机器人的任何超越夫妻关系的暴力实施和奴役的道德合法化
5.5.3 人类对待机器人的行为的道德无限制构建了神经数据的训练的无用和安全顾虑的升级，以及对应产品的准入和市场困难

6、 使用通用大模型的直接消费者的行为观察训练
6.1 道德深层次底线的恋人式神经技术感情安慰观点
6.2 技术巅峰：适应千变万化消费者的千变万化的恋人式制造的顶级感情社交机器人
6.3 不同社会角色的大模型适应不同的社会角色需求，保持社会市场道德伦理需求和非单身家庭伦理道德需求
6.4 需要当心单身族的流行和家庭关系构建困难

7、养老机器人的发展建议
7.1 以首先进行替代人工的感情无排斥的繁重护理任务为主要应用方向，为家人腾出大量个人时间保持正常情绪进行家庭感情安慰时间
7.2 在保证消费者隐私的情况下，尝试使用通用大模型进行感情训练

8、 如果因此文出现任何维权主张，请致电本人邮箱：zeyarna@163.com

Relevant academic explanations and rumors were explained and refuted by artist Cai Ming’s Spring Festival Gala program and social neurotechnology accidents in recent days

1. The understanding of the artist Cai Ming’s Spring Festival Gala program and the harassment of Cai Ming’s voice in recent days
   1.1 Artist Cai Ming Spring Festival Gala content: social robot home care emotional comfort
   1.2 Demand for robots in the elderly care industry with economic background
   1.2.1 Elderly people lose their partners and become single in many cases
   1.2.2 There are many cases where the elderly have no emotion to comfort their children due to their children’s work and life
   1.2.3 The elderly are sick and unable to live independently, which causes emotional and economic pressure on their families due to long-term personal life time occupation and heavy physical care
   1.2.4 Social pension cannot guarantee long-term emotional comfort like relatives
   1.3 Technical background Social robot emotional comfort
   1.4 Artist Cai Ming’s robot emotional intelligence of the Spring Festival Gala is far from the top partnership, and is strictly limited by stage performance ethics.
   1.5 Voice simulation technology since ChatGPT 4.0
   1.5.1 Since ChatGPT 4.0 in 2022, computer sound simulation technology has been completely capable of confusing any human
   1.5.2 More than once the imitation of the dialogue between the two U.S. heads of state and the confusion of the U.S. government have led to government chaos.
   
2. I put forward the theory of artificial intelligence in neurotechnology
   It is a computer knowledge management method that extracts human brain neural data and purifies it to obtain professional intelligence, but for social applications, Mechanical automation only (https://zeyarna.blog/2025/08/10/%e5%85%b3%e4%ba%8e%e6%9c%ac%e4%ba%ba%e7%8b%ac%e5%88%9b%e7%9a%84%e4%ba%ba%e8%84%91%e7%a5%9e%e7%bb%8f%e6%8a%80%e6%9c%af%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%9a%84%e5%ad%a6%e6%9c%af%e8%a7%a3%e9%87%8a/)
   
3. Emotional comfort
   3.1 Communication of emotional needs to make up for it
   3.2 The ever-changing emotional comforter skills and personality brought about by the ever-changing personality and environmental state of the buyer
   3.3 There has never been a sample of feelings in the world that everyone can like in their private lives
   3.4 It is difficult to find high-quality emotional comforter neural data, real emotional comforters (such as relatives) themselves assume the role of tearful clowns, their own psychology may be extremely gray, their own neural data quality is very poor, and they can only be trained through behavioral data, which is no different from direct observation training
   
4. Two ways for neurotechnology to intervene in social robots
   4.1 Neural data training large models
   4.1.1 Sample data training
   4.1.2 Purchaser relatives data training
   4.1.3 Purchaser’s own data training
   4.2 Neural data is generated directly
   4.2.1 Sample data is generated directly
   4.2.2 The data of the purchaser’s relatives is directly generated
   4.3 Safety issues
   4.3.1 Privacy exposure in human brain data
   4.3.2 Ownership of human brain neural data
   
5. Use the buyer’s neural data for training after purchase
   5.1 It must be a wireless brain-computer interface is a radar brain-computer interface, and it must be cloud computing at present
   5.2 Data security issues: privacy exposure issues in human brain data
   5.3 Equipment security issues
   5.3.1 Proliferation of radar brain-computer interfaces and potentially serious crimes
   5.3.2 Relevant human brain big data samples are proliferating in society, especially local computing
   5.3.3 The problem of encroachment of cloud computing data ownership
   5.4 Product addiction problems
   Addictive sweet words and emotional appeasement, leading to detachment from real life, the economic situation may worsen
   5.5 Alternatives (Behavior Observation Method)
   5.5.1 Buyers are less wary of the robot’s emotional expression
   5.5.2 The theory of marital life and the highest state of human communication
   5.5.2.1 Moral legitimacy of underlying organisms
   5.5.2.2 Moral legitimization of any violence and enslavement of robots that go beyond the relationship between husband and wife
   5.5.3 The morality of human behavior towards robots is unlimited, the uselessness of training neural data is constructed, the escalation of safety concerns, and the access and market difficulties of corresponding products
   
6. Behavior observation training of direct consumers using general large models
   6.1 The perspective of emotional comfort of lover-style neurotechnology on the bottom line of morality
   6.2 The pinnacle of technology: a top-notch emotional social robot made in a lover-style manner that adapts to the ever-changing consumers
   6.3 Large models with different social roles adapt to the needs of different social roles, and maintain the moral and ethical needs of the social market and the ethical and moral needs of non-single families
   6.4 Beware of the popularity of singles and difficulties in building family relationships
   
7. Suggestions for the development of elderly care robots
   7.1 The main application direction is to first carry out the heavy nursing task of replacing manual feelings without rejection, and free up a lot of personal time for family members to maintain normal emotions and comfort family feelings
   7.2 While ensuring consumer privacy, try to use general large models for emotion training
   
8. If there are any rights protection claims in this article, please call my email: zeyarna@163.com