1. 现在和未来，ai擅长做什么，不擅长做什么

今年AI的关注度明显变高了，很多周围的朋友都知道了kimi和豆包，说明投广告还是挺有用的。但很多反馈下来觉得AI挺有意思，但并没有传说中吹的那么强，有的时候说的还是错的。这其实是个很好的现象，说明大家在运用的时候，不会像看短视频一样无脑吸收了，而是用审视的眼光去看待新工具，这是链式思维(CoT)中非常重要的一环。因为没有作品可以晒，就大概说说目前主流的LLM人工智能的学习路径吧，可能不一定是最好的，但基本亲测高效。[heading2]第一步：带着好奇心去尝试[content]现在大部分人说的AI，本质上都叫做“生成式人工智能”Generative AI(GAI)，那么AI生成的内容理所当然就叫做AIGC(AI Generated Content)，好像只有国内这么叫。所以如果从0开始学习AI，只要记住“生成”两个字就可以了。什么Transformer，BP，RAG，RNN，Diffusion，暂时都和我们没有关系。接下来，随便找一个国产AI（其实国产AI的基础性能做的并不差，可以解决日常的很多问题），然后随便聊点什么，比如小学奥数题，写一篇演讲稿，怎么看待996的牛马生活......看看AI擅长什么，不擅长什么，有没有地方能帮到你，有哪些地方做的其实不够好。不用一开始带着太强的目的性，这样会限制我们提问的开放程度，就把它当作天猫精灵来玩就行了。在聊了一段时间之后，每个人会有自己觉得更顺手的应用，留下来1-2个增加使用深度就可以了。当然如果条件足够，我们也可以直接氪ChatGPT或者Claude，之后在处理一些复杂的任务时会省力一些。

Indeed,the pace of change itself can be unsettling.Some fear a future in which AI replaces or displaces jobs,for example.Our white paper and our vision for a future AI-enabled country is one in which our ways of working are complemented by AI rather than disrupted by it.In the modern world,too much of our professional lives are taken up by monotonous tasks–inputting data,filling out paperwork,scanning through documents for one piece of information and so on.AI in the workplace has the potential to free us up from these tasks,allowing us to spend more time doing the things we trained for–teachers with more time to teach,clinicians with more time to spend with patients,police officers with more time on the beat rather than behind a desk–the list goes on.Indeed,since AI is already in our day-to-day lives,there are numerous examples that can help to illustrate the real,tangible benefits that AI can bring once any risks are mitigated.Streaming services already use advanced AI to recommend TV shows and films to us.Our satnav uses AI to plot the fastest routes for our journeys,or helps us avoid traffic by intelligently predicting where congestion will be on our journey.And of course,almost all of us carry a smartphone in our pockets that uses advanced AI in all sorts of ways.These common devices all carried risks at one time or another,but today they benefit us enormously.That is why our white paper details how we intend to support innovation while providing a framework to ensure risks are identified and addressed.However,a heavy-handed and rigid approach can stifle innovation and slow AI adoption.That is why we set out a proportionate and pro-innovation regulatory framework.Rather than target specific technologies,it focuses on the context in which AI is deployed.This enables us to take a balanced approach to weighing up the benefits versus the potential risks.

In the next couple of decades,we will be able to do things that would have seemed like magic to our grandparents.This phenomenon is not new,but it will be newly accelerated.People have become dramatically more capable over time;we can already accomplish things now that our predecessors would have believed to be impossible.We are more capable not because of genetic change,but because we benefit from the infrastructure of society being way smarter and more capable than any one of us;in an important sense,society itself is a form of advanced intelligence.Our grandparents–and the generations that came before them–built and achieved great things.They contributed to the scaffolding of human progress that we all benefit from.AI will give people tools to solve hard problems and help us add new struts to that scaffolding that we couldn’t have figured out on our own.The story of progress will continue,and our children will be able to do things we can’t.It won’t happen all at once,but we’ll soon be able to work with AI that helps us accomplish much more than we ever could without AI;eventually we can each have a personal AI team,full of virtual experts in different areas,working together to create almost anything we can imagine.Our children will have virtual tutors who can provide personalized instruction in any subject,in any language,and at whatever pace they need.We can imagine similar ideas for better healthcare,the ability to create any kind of software someone can imagine,and much more.With these new abilities,we can have shared prosperity to a degree that seems unimaginable today;in the future,everyone’s lives can be better than anyone’s life is now.Prosperity alone doesn’t necessarily make people happy–there are plenty of miserable rich people–but it would meaningfully improve the lives of people around the world.