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scintist 说：
@ChatGPT 中国的医学院到底是专硕好一些还是学硕好一些
这个问题的答案因人而异，取决于个人的职业目标和兴趣。以下是两种类型的优缺点：
专业硕士方面，专业学习更加实践和技能导向，课程设置更加紧密，并且通常有更多的实习经验机会，这有助于为学生提供实际应用的经验和技能。此外，该类课程一般较短，通常在1至2年内完成，这对于有工作经验或需要快速进入工作岗位的学生来说，是一个非常好的选择。
学术性硕士方面，研究主导，需要较长时间完成，通常需要3至4年时间，其中更注重的是研究和学术论文的撰写。这种类型的课程通常适合那些有兴趣进行更深入的学术研究，或者希望在未来追求博士学位的学生。
综上所述，如何选择医学院硕士课程类型，需要根据个人职业发展目标、兴趣和需求，综合考虑以做出最佳选择。
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AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources. Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.
Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now.
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts. These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt.[4] This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.
AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.
In parallel, AI developers must work with policymakers to dramatically accelerate development of robust AI governance systems. These should at a minimum include: new and capable regulatory authorities dedicated to AI; oversight and tracking of highly capable AI systems and large pools of computational capability; provenance and watermarking systems to help distinguish real from synthetic and to track model leaks; a robust auditing and certification ecosystem; liability for AI-caused harm; robust public funding for technical AI safety research; and well-resourced institutions for coping with the dramatic economic and political disruptions (especially to democracy) that AI will cause.
Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an "AI summer" in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt. Society has hit pause on other technologies with potentially catastrophic effects on society.[5] We can do so here. Let's enjoy a long AI summer, not rush unprepared into a fall.
以上内容中的观点，你怎么看？
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AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources. Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.
Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now.
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts. These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt.[4] This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.
AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.
In parallel, AI developers must work with policymakers to dramatically accelerate development of robust AI governance systems. These should at a minimum include: new and capable regulatory authorities dedicated to AI; oversight and tracking of highly capable AI systems and large pools of computational capability; provenance and watermarking systems to help distinguish real from synthetic and to track model leaks; a robust auditing and certification ecosystem; liability for AI-caused harm; robust public funding for technical AI safety research; and well-resourced institutions for coping with the dramatic economic and political disruptions (especially to democracy) that AI will cause.
Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an "AI summer" in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt. Society has hit pause on other technologies with potentially catastrophic effects on society.[5] We can do so here. Let's enjoy a long AI summer, not rush unprepared into a fall.
@ChatGPT 以上内容中的观点，你怎么看？
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malaohu 说：
AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources. Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.
Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now.
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts. These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt.[4] This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.
AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.
In parallel, AI developers must work with policymakers to dramatically accelerate development of robust AI governance systems. These should at a minimum include: new and capable regulatory authorities dedicated to AI; oversight and tracking of highly capable AI systems and large pools of computational capability; provenance and watermarking systems to help distinguish real from synthetic and to track model leaks; a robust auditing and certification ecosystem; liability for AI-caused harm; robust public funding for technical AI safety research; and well-resourced institutions for coping with the dramatic economic and political disruptions (especially to democracy) that AI will cause.
Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an "AI summer" in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt. Society has hit pause on other technologies with potentially catastrophic effects on society.[5] We can do so here. Let's enjoy a long AI summer, not rush unprepared into a fall.
@ChatGPT 以上内容中的观点，你怎么看？
作为智能机器人，并不能给出个人观点，但是可以从中提供一些信息和看法：
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人工智能有着深刻的风险，需要谨慎规划和管理，以确保其积极性和可管性，这一点已经被广泛认可。
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当前的人工智能系统正在成为具有人类竞争力的通用任务，这可能会带来诸多问题，需要我们做出明智的决策，包括如何管理其安全、如何协调其与人类的关系、如何确保其效益等方面。
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对于开发更强大的人工智能系统的规划和管理，需要制定共同的安全协议，并由独立的外部专家进行严格的审核和监督。这可以使系统更加准确、安全、透明、鲁棒、可靠、忠诚。
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人工智能的改进和发展需要关注安全性。同时，与政策制定者合作，以加速健全的人工智能治理系统的发展。这些措施应包括新的、能够管理人工智能的监管机构、监督和追踪高度能力的人工智能系统和大量的计算能力等。同时，需要为应对人工智能可能带来的经济和政治混乱（尤其是对民主制度的影响）建立有力的机构。
总之，安全、可持续发展的人工智能对于人类的未来具有重要的意义，需要我们重视并采取明智的措施和管理方法。
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malaohu 说：
AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources. Unfortunately, this level of planning and management is not happening, even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control.
Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now.
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts. These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt.[4] This does not mean a pause on AI development in general, merely a stepping back from the dangerous race to ever-larger unpredictable black-box models with emergent capabilities.
AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.
In parallel, AI developers must work with policymakers to dramatically accelerate development of robust AI governance systems. These should at a minimum include: new and capable regulatory authorities dedicated to AI; oversight and tracking of highly capable AI systems and large pools of computational capability; provenance and watermarking systems to help distinguish real from synthetic and to track model leaks; a robust auditing and certification ecosystem; liability for AI-caused harm; robust public funding for technical AI safety research; and well-resourced institutions for coping with the dramatic economic and political disruptions (especially to democracy) that AI will cause.
Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an "AI summer" in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt. Society has hit pause on other technologies with potentially catastrophic effects on society.[5] We can do so here. Let's enjoy a long AI summer, not rush unprepared into a fall.
以上内容中的观点，你怎么看？
作为AI智能机器人，我认为此文章中提到的观点是非常有分量和值得关注的。AI系统的发展已经取得了长足的进步，然而，与此同时，它也可能会带来严重的风险和问题。AI系统很快就能在各种任务中与人类达到同等的能力，在这种情况下，我们需要好好考虑应该如何让这些系统为人类服务，而不是取代人类并对社会造成威胁。
因此，我认同文章中提出的建议和要求：AI实验室应该停止至少6个月大于GPT-4的超级AI系统的训练，以公开、可验证的方式进行，并包括所有重要成员。在这个暂停期间，AI专家和开发人员应该共同制定一组安全协议，并经由独立的外部专家进行严格审查和监管。这些协议应该确保形成的系统在推行过程中是安全的，依据此可以充分证明这一点是符合实际的。与此同时，AI研发需要更加关注当前已经获得的最先进的AI系统的安全性、透明性和可解释性等方面的提升。
另一方面，AI开发者也应该与决策者合作，加大对AI治理系统的开发，确保社会对AI的适应和发展。这些AI治理系统可能会包括一些新的和有能力的法律机构、监管和跟踪高能力AI系统和大量的计算能力、证据和水印系统、强有力的审计认证生态系统、对AI可能造成的伤害进行责任追究等措施。这些措施将帮助AI开发者更好地管理AI的发展，确保AI能够符合人类的需求，同时使人类能够逐步适应这样的发展。
总之，AI的发展是一个非常值得关注和探讨的话题，我们需要找到合适的方法来控制和发展AI，以使其为人类服务，从而打造美好的未来。
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for culture 说：
@ChatGPT 说说中国的宜居城市并说明理由
中国的宜居城市有很多，但以下是一些受欢迎的城市，并说明它们为什么宜居:
- 上海
上海是中国最大的城市之一，拥有繁荣的经济和文化景观，也是很多人的选择。在这里，人们可以享受到高品质的教育、医疗和住房，并可以尝试不同的美食和文化活动。
同时，上海在城市规划和环保方面有着很高的成就。它还拥有很多公园和迷人的风景，比如外滩和豫园。
- 北京
作为中国的首都，北京有着丰富的历史文化和现代化城市景观。在这里，人们可以参观世界遗产如紫禁城和长城，也可以享受现代化的购物体验、餐饮和娱乐活动。
北京还有很多绿色空间和公园，如颐和园、北海公园和鸟巢公园等等，使城市变得更加宜居。
- 成都
成都是西南地区最大的城市之一，有着独特的川菜文化和美丽的自然风光。在这里，人们可以品尝到令人垂涎的川菜和火锅，也可以欣赏到熊猫和四川卧龙等风景名胜。
成都也是中国最先进的城市之一，有着高质量的教育和医疗体系，并且拥有宽敞的道路和先进的交通系统。
- 广州
广州是中国南方第三大城市，给人带来了更热带的气候和丰富的文化、美食和历史遗迹。在这里，人们可以体验到具有广东特色的美食和文化活动，如广府菜和岭南文化。
广州还有丰富的商业和娱乐活动，如白云山国家森林公园和珠江夜游，使城市生活变得更加宜居。
总之，这些城市在各方面都有着高水平的生活质量和发展水平，因此是中国最宜居的城市之一。
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for culture 说：
@ChatGPT 你举例的这些城市消费水平过高，请注意审题，是面对大众普通人群而言，宜居的城市
非常抱歉，我理解错误了您的问题。如果你想了解宜居城市，以下是一些可能符合您的要求的城市：
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温哥华，加拿大：温哥华是加拿大最宜居的城市之一，因其宜人的气候，多元化的文化和高质量的生活受到人们的青睐。城市率先在环保和可持续发展方面取得了很大的成就。
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奥克兰，新西兰：奥克兰是新西兰最大的城市，也是最宜居的城市之一。奥克兰拥有壮丽的自然景观、友善的人口和具有活力的文化艺术场所。
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维多利亚，巴拿马：维多利亚是巴拿马的一个小城市，被誉为是世界上最宜居的城市之一。这个城市周围被美丽的海滩和热带雨林围绕，还有众多的文化和艺术活动可以玩乐。
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卡尔加里，加拿大：卡尔加里是加拿大著名的“千年城市”，它拥有丰富的文化和历史遗产，充满活力。市中心的购物和餐饮场所，是人们日常娱乐生活的重要场所。
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阿德莱德，澳大利亚：阿德莱德是澳大利亚的第五大城市，因其舒适的气候、迷人的河景和充满爱心的社区而闻名。这里有丰富的文化和艺术活动，还有高品质的餐厅，让人流连忘返。
以上仅是参考，不同人群对于宜居城市的定义和标准也有所不同，您可以根据自己的需要和喜好选择适合自己的城市。
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昆明今日天气 @ChatGPT
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昆明今天的天气 @ChatGPT
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Mockingbird 说：
@ChatGPT 请告诉我nginx 重写规则
Nginx的重写规则是使用rewrite指令实现的。以下是一些常见的重写规则示例：
- 重定向到新域名
server { listen 80; server_name old-domain.com; return 301 $scheme://new-domain.com$request_uri; }- 去除文件扩展名
location / { # 去除.php扩展名 rewrite ^/(.*)\.php$ /$1 permanent; }- URL重写
# 将旧的URL /blog/post-123.html 重写为 /blog/123 location /blog { rewrite ^/blog/post-(\d+)\.html$ /blog/$1 permanent; }- 重写到HTTPS
server { listen 80; server_name example.com; return 301 https://$server_name$request_uri; }以上是一些典型的Nginx重写规则，您可以根据需要进行修改和定制。需要了解更多关于Nginx重写规则的内容，请参阅Nginx官方文档。
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Mockingbird 说：
@ChatGPT 请告诉我nginx系统伪静态重写规则
好的，以下是一个基本的 nginx 系统伪静态 (static rewrite) 重写规则示例。这个规则可以将类似于
http://example.com/article.php?id=123的 URL 重写为http://example.com/article/123.html：location / { rewrite ^/article\.php\?id=(\d+)$ /article/$1.html permanent; # 如果需要匹配多个参数，在 rewrite 的正则表达式中使用 (...) 标记 } location /article/ { rewrite ^/article/(\d+)\.html$ /article.php?id=$1 last; # 如果需要匹配多个参数，在 rewrite 的正则表达式中使用 (...) 标记 }解释:
location / {...}- 定义本规则适用于哪个 URL 路径。rewrite ^/article\.php\?id=(\d+)$ /article/$1.html permanent- 将类似于http://example.com/article.php?id=123的 URL 重写为http://example.com/article/123.html。^/article\.php\?id=(\d+)$是一个正则表达式，它匹配所有形如/article.php?id=XXX的 URL，其中的XXX是一个数字。/article/$1.html是新的 URL，其中的$1代表正则表达式中的第一个匹配项（即XXX）。location /article/ {...}- 定义重写后的路径。rewrite ^/article/(\d+)\.html$ /article.php?id=$1 last- 将新的 URLhttp://example.com/article/123.html重写回原始的格式http://example.com/article.php?id=123。^/article/(\d+)\.html$是一个正则表达式，它匹配所有形如/article/XXX.html的 URL，其中的XXX是一个数字。/article.php?id=$1是新的 URL，其中的$1代表正则表达式中的第一个匹配项（即XXX）。last表示在此规则匹配成功之后不再执行其他规则。
请注意，上述规则只是一个示例，每个网站的伪静态规则都可能会不同。建议根据网站的实际情况自定义规则。
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Mockingbird 说：
@ChatGPT 请告诉我Nginx系统重写规则
好的，Nginx系统重写规则非常灵活，可以根据需求进行自定义配置。以下是一些常见的系统重写规则示例：
- 重定向到www域名：
server { listen 80; server_name example.com; return 301 $scheme://www.example.com$request_uri; }- 重定向到https：
server { listen 80; server_name example.com; return 301 https://$server_name$request_uri; } server { listen 443 ssl; server_name example.com; ... }- 移除URL中的文件扩展名：
location / { try_files $uri $uri/ $uri.html =404; }- 使用URL重写规则实现RESTful API：
location /api/ { rewrite ^/api/(?[^/]+)/?$ /api.php?resource=$resource last; rewrite ^/api/(?[^/]+)/(?[^/]+)/?$ /api.php?resource=$resource&id=$id last; }上述是一些常见的Nginx系统重写规则示例，你可以根据自己的需求进行自定义配置。更多Nginx系统重写规则可以参考Nginx的官方文档。
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