目前大家用AI做得最多的事情是什么？

用AI写小脚本当然非常方便，而且可以在较短时间内完成极大的工作量，一个人就可以顶一个小型开发团队。但是AI写代码60秒，你要debug 60分钟，技术栈稍微偏一点，AI就开始装疯卖傻，在代码里偷偷埋坑，让人相当痛苦，这也意味着你必须先在某个领域成为一个专家，才能使用AI辅助你的工作。它也没有办法完成大型任务，也不知道你开发出来的企业工具怎么用。这都限制了它的应用场景。基于以上的思考和逻辑推理，我决定在现阶段重仓AI+内容创作赛道。这是一个有完美的PMF（Product Model Fit），产品-模型匹配的赛道，AI能做且擅长，容错极大，小错小创新，大错大创新。这个赛道又有真正的需求，有钱赚，内容市场在AI出现之前就已经又成熟又大了，这是另一个PMF（Product Market Fit）,产品-市场匹配。最后则是天花板高，实际上现在用AI产出内容很容易，但是产出好的，人喜欢的内容是不容易的。内容泛滥，读者阈值不断提高，这对于技术比较好的公司是一种利好。所以，我决定坚定重仓内容创作赛道。叉着腰说自己厉害是不能说服人的，所以接下来，请允许我介绍一下我都做了哪些事情，也就是说“我都在用AI写什么样的内容”。我的业务主要包含两大板块:营销以及小说和短剧创作。在营销板块,我们开发了智能营销矩阵平台。目前这个平台采取低调运营策略,主要服务于各细分行业的头部企业,特别是那些已具备一定规模、业务相对成熟的公司。AI的一大优势“最高水平等同于平均水平”。只要产品本身做得够好,投入充分时间,你可以把文字输出的水平稳定保持在优秀的人类专家水平。相比之下,传统行业不仅需要招募优秀人才,还要面对人员状态不稳定、团队可能出现波动等问题。

I believe that a comIndeed,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.

1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.20