科技界对人工智能有了新的痴迷
正文翻译
The latest advances in AI (GPT, LLM, transformers, etc.) are like a Nokia phone in the 90''s – everyone could see the appeal, but no one could predict all that it would lead to. The tech world has a new obsession with Large Language Models (LLMs), GPTs, and AI in general.
人工智能的最新进展（GPT、LLM[大规模语言模型--译注]、transformers[一种神经网络--译注]等）就像90年代的诺基亚手机——每个人都能看到它的吸引力，但没有人能预测它会带来什么。科技界对大型语言模型（LLMs）、GPT和人工智能有了新的痴迷。
The latest advances in AI (GPT, LLM, transformers, etc.) are like a Nokia phone in the 90''s – everyone could see the appeal, but no one could predict all that it would lead to. The tech world has a new obsession with Large Language Models (LLMs), GPTs, and AI in general.
人工智能的最新进展（GPT、LLM[大规模语言模型--译注]、transformers[一种神经网络--译注]等）就像90年代的诺基亚手机——每个人都能看到它的吸引力，但没有人能预测它会带来什么。科技界对大型语言模型（LLMs）、GPT和人工智能有了新的痴迷。
There is no question that LLMs and transformers are important technically, The latest developments mark a major breakthrough in software capabilities. That being said, we are not sure anyone really knows what to do with those capabilities.
毫无疑问，LLM和transformers在技术上是重要的，最新的发展标志着软件能力的重大突破。话虽如此，我们不确定是否有人真的知道如何使用这些能力。
毫无疑问，LLM和transformers在技术上是重要的，最新的发展标志着软件能力的重大突破。话虽如此，我们不确定是否有人真的知道如何使用这些能力。
A few weeks ago, we spoke at the AI Edge Summit, where the organization's Chairman, Jeff Bier, said something that catalyzed our view of AI and GPT. To paraphrase, he said ChatGPT is like seeing the first Nokia phone in the 1990's. We had all heard about mobile phones before that, and these Nokia devices were for many the first phone that looked like something we would actually want to buy. But at the same time, no one looking at the device then would be able to predict all the things that would eventually stem from it – 3G, mobile data, smartphones, the iPhone, apps, and a complete reorganization of how we structure our time and daily activities.
几周前，我们在人工智能边缘峰会上发言，该组织的主席Jeff Bier说了一些话，催化了我们对人工智能和GPT的看法。换句话说，ChatGPT就像是看到了上世纪90年代的第一部诺基亚手机。在此之前，我们都听说过手机，这些诺基亚设备对许多人来说是第一部看起来像我们会真正想买的手机。但与此同时，当时看到这款设备的任何人都无法预测它最终会带来的所有东西——3G、移动数据、智能手机、iPhone、应用程序，以及我们如何安排时间和日常活动的完全重组。
几周前，我们在人工智能边缘峰会上发言，该组织的主席Jeff Bier说了一些话，催化了我们对人工智能和GPT的看法。换句话说，ChatGPT就像是看到了上世纪90年代的第一部诺基亚手机。在此之前，我们都听说过手机，这些诺基亚设备对许多人来说是第一部看起来像我们会真正想买的手机。但与此同时，当时看到这款设备的任何人都无法预测它最终会带来的所有东西——3G、移动数据、智能手机、iPhone、应用程序，以及我们如何安排时间和日常活动的完全重组。
That seems like a good analogy for ChatGPT. It is useful. The first "AI" application that is useful to ordinary people, but not something that is going to change their lives too meaningfully. For those who have been watching technology for a long time, it is clear that LLMs and transformers have immense potential, we may very well just be scratching the surface of what they can provide.
这似乎是ChatGPT的一个很好的类比。它是有用的。第一个对普通人有用的“人工智能”应用，但不会对他们的生活产生太有意义的改变。对于那些长期关注技术的人来说，很明显LLM和transformers有着巨大的潜力，我们很可能只是触及了它们所能提供的东西的表面。
这似乎是ChatGPT的一个很好的类比。它是有用的。第一个对普通人有用的“人工智能”应用，但不会对他们的生活产生太有意义的改变。对于那些长期关注技术的人来说，很明显LLM和transformers有着巨大的潜力，我们很可能只是触及了它们所能提供的东西的表面。
This has a few implications for what happens next:
这对接下来发生的事情有几点启示：
这对接下来发生的事情有几点启示：
1. We are very much in the middle of a massive hype cycle. Absent some incredible product surprise, this cycle will eventually fade away and turn to a trough of doubt and despair. It is no coincidence that the media's eye of Sauron has turned so intently on AI just as the rest of the Bubble is deflating.
1. 我们正处于一个大规模炒作周期的中间。如果没有一些令人难以置信的产品惊喜，这个周期将最终消失，并转向怀疑和绝望的低谷。就在泡沫的其他部分正在缩小的时候，媒体对索伦的关注转向了人工智能，这并不是巧合。
1. 我们正处于一个大规模炒作周期的中间。如果没有一些令人难以置信的产品惊喜，这个周期将最终消失，并转向怀疑和绝望的低谷。就在泡沫的其他部分正在缩小的时候，媒体对索伦的关注转向了人工智能，这并不是巧合。
2. No one really knows what all of this means. Maybe somewhere there is a rogue genius sitting in her cubicle or his mother's basement with a vision of 1,000 suns pointing the way forward. For everyone else, the future is much less certain. There are plenty of people who argue (very quietly right now) that AI is a dead end, with ChatGPT as just the latest version of chat bots (remember when those were the hot thing? It was only a few years ago.) There are also AI maximalists currently building their Skynet-proof bunkers in preparation for the imminent AI apocalypse because LLMs are just that awesome. Of course, the reality is somewhere in between.
2. 没有人真正知道这一切意味着什么。也许在某个地方有一个流氓天才坐在她的小隔间里或他母亲的地下室里，幻想着有1000个太阳在指引着前进的方向。对其他人来说，未来的确定性要小得多。有很多人认为人工智能是一条死胡同，ChatGPT仅仅是聊天机器人的最新版本（还记得那些热门的东西吗？）这只是几年前的事。）目前也有一些人工智能极端主义者正在建造他们的天网防御掩体，为即将到来的人工智能末日做准备，因为LLM就是这么棒。当然，现实是介于两者之间。
2. 没有人真正知道这一切意味着什么。也许在某个地方有一个流氓天才坐在她的小隔间里或他母亲的地下室里，幻想着有1000个太阳在指引着前进的方向。对其他人来说，未来的确定性要小得多。有很多人认为人工智能是一条死胡同，ChatGPT仅仅是聊天机器人的最新版本（还记得那些热门的东西吗？）这只是几年前的事。）目前也有一些人工智能极端主义者正在建造他们的天网防御掩体，为即将到来的人工智能末日做准备，因为LLM就是这么棒。当然，现实是介于两者之间。
3. We need to remember that AI is just software. These latest new tools are very powerful, but for the foreseeable future we should mostly just expect some aspects of our interaction with software to improve. Developers definitely seem to be enjoying huge benefits from tools like Microsoft's Copilot. Everyone else can probably just expect better written spam e-mail content for the time being.
我们需要记住，人工智能只是软件。这些最新的新工具非常强大，但在可预见的未来，我们应该主要期待我们与软件交互的某些方面得到改善。开发人员似乎确实从微软的Copilot(应该指的是github的copilot--译注)等工具中享受到了巨大的好处。其他人暂时只能期待一些有内容变得更好的垃圾邮件。
我们需要记住，人工智能只是软件。这些最新的新工具非常强大，但在可预见的未来，我们应该主要期待我们与软件交互的某些方面得到改善。开发人员似乎确实从微软的Copilot(应该指的是github的copilot--译注)等工具中享受到了巨大的好处。其他人暂时只能期待一些有内容变得更好的垃圾邮件。
We do not mean to be pessimistic, we are shooting for realistic. From what we can tell, LLMs and GPT offer huge potential to tackle really large data sets. Critically, transformers are probably going to allow us to interrogate problems that previously were too big to approach, or even data problems we had not even realized existed before. Moreover, there is the tantalizing possibility that these gains will be self-reinforcing, a Moore's Law for data analysis. This is important, albeit unexplored.
我们并不是要悲观，我们正在追求现实。据我们所知，LLM和GPT提供了处理真正大型数据集的巨大潜力。至关重要的是，Transformer可能会让我们审视以前太大而无法解决的问题，甚至是我们以前甚至没有意识到存在的数据问题。此外，这些收益很可能会自我强化，这是数据分析的摩尔定律。这很重要，尽管尚未探索。
我们并不是要悲观，我们正在追求现实。据我们所知，LLM和GPT提供了处理真正大型数据集的巨大潜力。至关重要的是，Transformer可能会让我们审视以前太大而无法解决的问题，甚至是我们以前甚至没有意识到存在的数据问题。此外，这些收益很可能会自我强化，这是数据分析的摩尔定律。这很重要，尽管尚未探索。
Finally, we think everyone needs to take a more sober approach to the ethics and societal implications of these tools. We do not usually cover this subject, and would skip over it here except for the fact that almost everyone engaged in these advances seems to be blithely (maybe deliberately) avoiding the subject.
最后，我们认为每个人都需要对这些工具的伦理和社会影响采取更清醒的态度。我们通常不涉及这个主题，并且会在这里跳过它，几乎每个参与这些发展的人似乎都在愉快地（也许是故意的）回避这个主题。
最后，我们认为每个人都需要对这些工具的伦理和社会影响采取更清醒的态度。我们通常不涉及这个主题，并且会在这里跳过它，几乎每个参与这些发展的人似乎都在愉快地（也许是故意的）回避这个主题。
We are likely months away from the ability to create highly realistic videos of anything. Anything. That is going to mess with a lot of people's heads and maybe we should take a more constructive approach to preparing the world at large for what that means. At the same time, the alarmists calling for a complete end to AI need to face the reality that the ship has sailed.
我们可能还需要几个月的时间才能制作出高度逼真的任何视频。任何事物。这会扰乱很多人的头脑，也许我们应该采取更具建设性的方法让整个世界为这意味着什么做好准备。与此同时，呼吁彻底终结人工智能的危言耸听者需要面对船已起航的现实。
我们可能还需要几个月的时间才能制作出高度逼真的任何视频。任何事物。这会扰乱很多人的头脑，也许我们应该采取更具建设性的方法让整个世界为这意味着什么做好准备。与此同时，呼吁彻底终结人工智能的危言耸听者需要面对船已起航的现实。
All in all, we are deeply excited by these latest developments. After years of incremental SaaS improvements being hailed as "technology advances," it is exciting to have a genuinely compelling new capability before us. We just wish everyone would take a breath.
总而言之，我们对这些最新进展深感兴奋。经过多年被誉为“技术进步”的SaaS(软件即服务--译注)的不断改进之后，在我们面前真正拥有引人注目的新功能是令人兴奋的。我们希望每个人都能喘口气。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
总而言之，我们对这些最新进展深感兴奋。经过多年被誉为“技术进步”的SaaS(软件即服务--译注)的不断改进之后，在我们面前真正拥有引人注目的新功能是令人兴奋的。我们希望每个人都能喘口气。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
评论翻译
Arturas
Interesting article, thanks for your thoughts on this, Jonathan!
有趣的文章，感谢您对此的想法，Jonathan！
Interesting article, thanks for your thoughts on this, Jonathan!
有趣的文章，感谢您对此的想法，Jonathan！
Most of the public seems to be impressed/confused by the trees and fail to see the forest. ChatGPT, Brad or whatever chatbot we're talking about are just one element of the LLMs themselves, and answering dumb questions that can be googled in just as much time is only a tiny fraction of their capabilities.
大多数公众似乎对树木印象深刻/感到困惑，而没有看到森林。ChatGPT、Brad或我们正在谈论的任何聊天机器人只是LLM本身的一个元素，回答可以在同样多的时间内用谷歌搜索的愚蠢问题只是他们能力的一小部分。
大多数公众似乎对树木印象深刻/感到困惑，而没有看到森林。ChatGPT、Brad或我们正在谈论的任何聊天机器人只是LLM本身的一个元素，回答可以在同样多的时间内用谷歌搜索的愚蠢问题只是他们能力的一小部分。
Company I work for develops custom solutions for ERP software (Enterprise Resource Planning, *not* Erotic Role-Play!), and we can already see great advantages from OpenAI's modules, especially their integrations with Microsoft's Automate platform. A previously expensive task of receiving invoices in PDF via email (or via snail-mail and then scanning them), getting it OCRd and correctly transferred to the accounting system are now riddiculously easy. Given how cheaply Microsoft offers that particular service, with no extra maintenance, a lot of business that previously worked on it will face serious issues.
我工作的公司为ERP软件（企业资源规划，*不是*色情角色扮演！）开发定制解决方案，我们已经可以看到 OpenAI 模块的巨大优势，尤其是它们与 Microsoft Automate 平台的集成。以前通过电子邮件接收PDF格式的发票（或通过蜗牛邮件，然后扫描它们）是一项昂贵的任务，现在获得OCRd并正确地转移到会计系统非常容易。鉴于微软提供该特定服务的成本非常低，且无需额外维护，许多以前提供该服务的企业将面临严重问题。
我工作的公司为ERP软件（企业资源规划，*不是*色情角色扮演！）开发定制解决方案，我们已经可以看到 OpenAI 模块的巨大优势，尤其是它们与 Microsoft Automate 平台的集成。以前通过电子邮件接收PDF格式的发票（或通过蜗牛邮件，然后扫描它们）是一项昂贵的任务，现在获得OCRd并正确地转移到会计系统非常容易。鉴于微软提供该特定服务的成本非常低，且无需额外维护，许多以前提供该服务的企业将面临严重问题。
Data analysis is also getting an insane uplift, even with basic ChatGPT features - throw in a dataset, tell it to provide an analysis and recommendations email to managers/shareholders and be amazed. After demoing stuff like that, a lot of smaller customers do not want to look at advanced data visualization tools like PBI - they'd much rather prefer to get a weekly email blast with summarized analysis. Same with summarizing transcxts of 4-hour long meetings into 3 paragraphs of notes. It's crazy that all of this can already be easily achieved with no programming knowledge whatsoever. The good part about it is that end-users are still scared of it and only dare dip their toes into the AI waters by asking ChatGPT basic questions Smile :)
数据分析也得到了疯狂的提升，即使有了基本的ChatGPT功能——丢进一个数据集，告诉它向经理/股东提供分析和建议电子邮件，你会感到惊讶。在演示了这样的东西之后，很多小客户不想看像Pitney Bowes这样的高级数据可视化工具——他们更喜欢每周收到一封包含汇总分析的电子邮件。把4个小时的会议记录总结成3段笔记也是一样。这是疯狂的，所有这一切都可以很容易地实现，没有任何编程知识。它的好处是，最终用户仍然害怕它，只敢通过问ChatGPT的基本问题来涉足人工智能领域。
数据分析也得到了疯狂的提升，即使有了基本的ChatGPT功能——丢进一个数据集，告诉它向经理/股东提供分析和建议电子邮件，你会感到惊讶。在演示了这样的东西之后，很多小客户不想看像Pitney Bowes这样的高级数据可视化工具——他们更喜欢每周收到一封包含汇总分析的电子邮件。把4个小时的会议记录总结成3段笔记也是一样。这是疯狂的，所有这一切都可以很容易地实现，没有任何编程知识。它的好处是，最终用户仍然害怕它，只敢通过问ChatGPT的基本问题来涉足人工智能领域。
Coding assistance is not yet there to be of practical usage, but it's getting there. My prediction is that the development of projects will become something like: detailed design document (humans) -> pseudo code (AI) -> expanding pseudo code with edge cases and such (humans) -> a foundation/skeleton of the code in whatever programming language (AI) -> improve the code and integrate it with the rest of the modules (humans) -> write tests, unit and general functionality (AI).
编码辅助还没有出现实际用途，但它正在逐步实现。我的预测是，项目的开发将变得像这样：详细设计文档（人类）-》伪代码（人工智能）-》扩展伪代码与边缘情况等（人类）-》任何程序设计语言（AI）的代码基础/框架->改进代码并将其与其他模块集成（人类）->编写测试、单元和通用功能（人工智能）。
编码辅助还没有出现实际用途，但它正在逐步实现。我的预测是，项目的开发将变得像这样：详细设计文档（人类）-》伪代码（人工智能）-》扩展伪代码与边缘情况等（人类）-》任何程序设计语言（AI）的代码基础/框架->改进代码并将其与其他模块集成（人类）->编写测试、单元和通用功能（人工智能）。
Bottom line, I believe that those who follow the developments in AI and try to implement them in their workloads will start saving time and resources. Those that don't will still have a good life for another few years as all of the advanced stuff becomes more and more accessible for the end-user
总而言之，我相信那些关注人工智能发展并尝试在工作负载中实施人工智能的人将开始节省时间和资源。随着所有的先进技术对终端用户来说越来越容易获得，那些不使用这些技术的人在未来几年里也会过得很好
总而言之，我相信那些关注人工智能发展并尝试在工作负载中实施人工智能的人将开始节省时间和资源。随着所有的先进技术对终端用户来说越来越容易获得，那些不使用这些技术的人在未来几年里也会过得很好
tellmewhyToday
The biggest advantage (from many others) of artificial intelligence is that it can swim in knowledge with greater speed and ease than the human mind can. For example, let's say we want to explore possible methods by which the functioning of the economy could be improved and those methods are based on Freud's theory. In order to answer this question a human being must first suspect this path of improvement and consider posing it as a question. From then on he must have taken the time to read Freud's books (very constrictive texts, most are examples of clinical cases in order to substantiate a conclusion), understand and remember them. Then he should also know about economics (other constrictive texts there) and of course have and some experience on them, he can't be 20 years old.
人工智能的最大优势（来自许多其他优势）是它可以比人类思维更快、更轻松地在知识中游泳。例如，假设我们想探索改善经济运行的可能方法，而这些方法基于弗洛伊德的理论。为了回答这个问题，人类必须首先怀疑这条改进路径，并考虑将其作为一个问题提出。从那时起，他一定是花时间阅读了弗洛伊德的书（非常狭隘的文本，大多数是临床病例的例子，以证实一个结论），理解并记住它们。然后他还应该了解经济学（那里的其他限制性文本）并且当然有一些经验，他不能只有20岁。
The biggest advantage (from many others) of artificial intelligence is that it can swim in knowledge with greater speed and ease than the human mind can. For example, let's say we want to explore possible methods by which the functioning of the economy could be improved and those methods are based on Freud's theory. In order to answer this question a human being must first suspect this path of improvement and consider posing it as a question. From then on he must have taken the time to read Freud's books (very constrictive texts, most are examples of clinical cases in order to substantiate a conclusion), understand and remember them. Then he should also know about economics (other constrictive texts there) and of course have and some experience on them, he can't be 20 years old.
人工智能的最大优势（来自许多其他优势）是它可以比人类思维更快、更轻松地在知识中游泳。例如，假设我们想探索改善经济运行的可能方法，而这些方法基于弗洛伊德的理论。为了回答这个问题，人类必须首先怀疑这条改进路径，并考虑将其作为一个问题提出。从那时起，他一定是花时间阅读了弗洛伊德的书（非常狭隘的文本，大多数是临床病例的例子，以证实一个结论），理解并记住它们。然后他还应该了解经济学（那里的其他限制性文本）并且当然有一些经验，他不能只有20岁。
Assuming one meets all these requirements, he must also have the mental capacity to put them together and correlate them in a creative way so it will come with some useful conclusion. Let's say he has that ability too, he sits and focus he thoughts for a day or two and comes up with "something". Now he has to publish it somewhere where it will be seen by someone involved in managing the economy, and it is not enough just to see it he has to be convinced (which in order to manage it and decide whether to be convinced or not, he has to have read, understood and remembered Freud as well). All these conditions cumulatively make it very difficult to come up with a potentially more efficient innovative method about the functioning of economy.
假设一个人满足所有这些要求，他还必须具有将它们组合在一起并以创造性方式将它们关联起来的心智能力，这样才能得出一些有用的结论。假设他也有这种能力，他坐下来集中精力思考一两天，然后想出了“一些东西”。现在他必须把它发布在某个参与管理经济的人可以看到的地方，而仅仅看到它是不够的，他必须被说服（为了管理它并决定是否被说服，他必须也阅读、理解并记住弗洛伊德）。所有这些条件累积起来，就很难想出一种可能更有效的经济运行创新方法。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
假设一个人满足所有这些要求，他还必须具有将它们组合在一起并以创造性方式将它们关联起来的心智能力，这样才能得出一些有用的结论。假设他也有这种能力，他坐下来集中精力思考一两天，然后想出了“一些东西”。现在他必须把它发布在某个参与管理经济的人可以看到的地方，而仅仅看到它是不够的，他必须被说服（为了管理它并决定是否被说服，他必须也阅读、理解并记住弗洛伊德）。所有这些条件累积起来，就很难想出一种可能更有效的经济运行创新方法。
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
With artificial intelligence, what has change? Now someone can simply ask the question and the LLModel with amazing speed will make all the correlations and give an answer (strongly grounded in the background) in a few seconds. Even if it “hallucinate” it will be an attempt to make new knowledge so it’s something useful too. And it can do it not only for this kind of question but for ALL kinds of questions in every field of knowledge!!! It is a possibility that has never existed before and is a supreme evolution advantage.
有了人工智能，改变了什么？现在有人可以简单地提出问题，LLM将以惊人的速度进行所有关联并在几秒钟内给出答案。即使它“产生幻觉”，它也是一种创造新知识的尝试，所以它也是有用的东西。而且它不仅可以解决这种问题，还可以解决各个知识领域的各种问题！！！这是一种前所未有的可能性，是一种无上的进化优势。
有了人工智能，改变了什么？现在有人可以简单地提出问题，LLM将以惊人的速度进行所有关联并在几秒钟内给出答案。即使它“产生幻觉”，它也是一种创造新知识的尝试，所以它也是有用的东西。而且它不仅可以解决这种问题，还可以解决各个知识领域的各种问题！！！这是一种前所未有的可能性，是一种无上的进化优势。
It's like with painting, before you had to find an artist with free time, tell him what you want, give him $1000, wait a week and at the end he has hand painted you something superior to what you could have painted yourself but not something truly exceptional and difficult to change. Now you go to AI and you say paint an astronaut cat just for fun.
就像绘画一样，在你必须找到一个有空闲时间的艺术家之前，告诉他你想要什么，给他1000美元，等一个星期，最后他手绘你的东西比你自己画的要好，但不是什么真的有什么特别之处，而且很难改变。现在你去人工智能，你说画一只宇航员猫，只是为了好玩。
就像绘画一样，在你必须找到一个有空闲时间的艺术家之前，告诉他你想要什么，给他1000美元，等一个星期，最后他手绘你的东西比你自己画的要好，但不是什么真的有什么特别之处，而且很难改变。现在你去人工智能，你说画一只宇航员猫，只是为了好玩。
psycrosToday
What is AI for? Well, anyone who's been paying attention knows what its for: eliminating jobs.
人工智能有什么用？好吧，任何一直关注的人都知道它的目的是什么：裁员。
What is AI for? Well, anyone who's been paying attention knows what its for: eliminating jobs.
人工智能有什么用？好吧，任何一直关注的人都知道它的目的是什么：裁员。
gamerk2Today 1:01 AM
We prefer to call it "reducing costs so we can enhance shareholder value".
I'll say it again, we're marching to a point where there simply will not be enough jobs for the population at large, and society is going to have to reach a decision: Are we going to accept a large cast of permanently unemployed workers, or are we going to accept that *some* form of Socialism is going to be necessary to keep them out of poverty and contributing to the economy at large?
我们更愿意称之为“降低成本，从而提高股东价值”。
我再说一遍，我们正在走向一个根本没有足够的工作岗位供广大民众使用的地步，社会将不得不做出决定：我们是否要接受大量永久性失业者工人，或者我们是否要接受*某种*形式的社会主义将是必要的，以使他们摆脱贫困并为整个经济做出贡献？
We prefer to call it "reducing costs so we can enhance shareholder value".
I'll say it again, we're marching to a point where there simply will not be enough jobs for the population at large, and society is going to have to reach a decision: Are we going to accept a large cast of permanently unemployed workers, or are we going to accept that *some* form of Socialism is going to be necessary to keep them out of poverty and contributing to the economy at large?
我们更愿意称之为“降低成本，从而提高股东价值”。
我再说一遍，我们正在走向一个根本没有足够的工作岗位供广大民众使用的地步，社会将不得不做出决定：我们是否要接受大量永久性失业者工人，或者我们是否要接受*某种*形式的社会主义将是必要的，以使他们摆脱贫困并为整个经济做出贡献？
noel24
No jobs, no consumers, no consumers, no shareholder value.
没有工作，就没有消费者，没有消费者，就没有股东价值。
No jobs, no consumers, no consumers, no shareholder value.
没有工作，就没有消费者，没有消费者，就没有股东价值。
gamerk2
Long term: The end result will be basically *everything* being automated, except for a few software engineers to keep things moving. The problem is getting from A to B without the world falling apart.
长期：最终结果基本上是*一切*都自动化，除了一些软件工程师来保持事物的运行。问题是如何从A点到B点，而不会让世界分崩离析。
Long term: The end result will be basically *everything* being automated, except for a few software engineers to keep things moving. The problem is getting from A to B without the world falling apart.
长期：最终结果基本上是*一切*都自动化，除了一些软件工程师来保持事物的运行。问题是如何从A点到B点，而不会让世界分崩离析。
takaozoToday
Remember the massive call centers back in the days? All replaced by IVR and CTI. All those workers are doing something different today. People can be retrained/repurposed, at least the company I work for did that.
还记得过去的大型呼叫中心吗？全部被IVR和CTI取代。所有这些工人今天都在做不同的事情。人们可以接受再培训或改行，至少我工作的公司是这样做的。
Remember the massive call centers back in the days? All replaced by IVR and CTI. All those workers are doing something different today. People can be retrained/repurposed, at least the company I work for did that.
还记得过去的大型呼叫中心吗？全部被IVR和CTI取代。所有这些工人今天都在做不同的事情。人们可以接受再培训或改行，至少我工作的公司是这样做的。
donnieD
Like we are all going to be equally poor with a few fatcats shareholders profiting. Socialism has been proven to fail in the XX century, always leading to a despotic dictatorship (democracy is not better in that aspect either), so what are the other options we got?
就像我们所有人都将变得同样贫穷一样，只有少数肥猫股东获利。社会主义在二十世纪被证明是失败的，那么我们还有什么选择呢？
Like we are all going to be equally poor with a few fatcats shareholders profiting. Socialism has been proven to fail in the XX century, always leading to a despotic dictatorship (democracy is not better in that aspect either), so what are the other options we got?
就像我们所有人都将变得同样贫穷一样，只有少数肥猫股东获利。社会主义在二十世纪被证明是失败的，那么我们还有什么选择呢？
Puiu
If there is one good thing that AI did, it was to shift Facebook's attention from the "metaverse" to AI.
Maybe they'll make an AI that can actually build the Metaverse since they obviously can't do it. Smile :)
如果说人工智能做了一件好事，那就是将Facebook的注意力从“元宇宙”转移到人工智能上。
也许他们会制造一个可以真正构建元宇宙的人工智能，因为他们自己显然做不到
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
If there is one good thing that AI did, it was to shift Facebook's attention from the "metaverse" to AI.
Maybe they'll make an AI that can actually build the Metaverse since they obviously can't do it. Smile :)
如果说人工智能做了一件好事，那就是将Facebook的注意力从“元宇宙”转移到人工智能上。
也许他们会制造一个可以真正构建元宇宙的人工智能，因为他们自己显然做不到
原创翻译：龙腾网 https://www.ltaaa.cn 转载请注明出处
BuckarooBonzaii
AI will make people laborers except for a few who will be privileged. With AI, democracy by the people will change. Democracy will mean democracy by your leaders.
除了少数享有特权的人外，人工智能将使人们成为劳动者。有了人工智能，人民的民主将会改变。民主将意味着你们领导人的民主。
AI will make people laborers except for a few who will be privileged. With AI, democracy by the people will change. Democracy will mean democracy by your leaders.
除了少数享有特权的人外，人工智能将使人们成为劳动者。有了人工智能，人民的民主将会改变。民主将意味着你们领导人的民主。
mbk34
Interesting but I just wish you'd explain the less familiar acronyms like GPT and SaaS.
A "bluffers guide to AI" might also make an interesting article.
很有趣，但我希望您能解释不太熟悉的首字母缩略词，例如GPT和SaaS。
“人工智能诈骗指南”也可能成为一篇有趣的文章。
Interesting but I just wish you'd explain the less familiar acronyms like GPT and SaaS.
A "bluffers guide to AI" might also make an interesting article.
很有趣，但我希望您能解释不太熟悉的首字母缩略词，例如GPT和SaaS。
“人工智能诈骗指南”也可能成为一篇有趣的文章。
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