AI办公

海报赛道（任选其一）创作四个方向的元旦主题海报（可任选一），突出产品特色同时传达新年氛围。[heading4]①纳米AI搜索[content]-核心价值主张：没有套路，直接给答案。拍照问、语音搜、听答案。[heading4]②360AI办公[content]-核心价值主张：每天6毛钱，尽享200+AI权益-产品能力说明：AI图片、AI文档、AI写作、AI音视频、AIPPT、AI翻译、模版大全、办公工具[heading4]③360安全卫士[content]-核心价值主张：全面安全全面精彩-其他可用元素：360IP形象——小安，小安设计规范可查看；360logo球[heading4]④360安全云[content]-核心价值主张：内防数据泄密，外防勒索攻击，打造最优守护屏障-产品说明：to B产品-其他可用元素：360LOGO球[heading4]设计方向建议[content]-可融入元旦节庆元素-营造喜庆、温暖的视觉效果-突出在新年场景下的产品核心优势/可解决的问题

Here is one narrow way to look at human history:after thousands of years of compounding scientific discovery and technological progress,we have figured out how to melt sand,add some impurities,arrange it with astonishing precision at extraordinarily tiny scale into computer chips,run energy through it,and end up with systems capable of creating increasingly capable artificial intelligence.This may turn out to be the most consequential fact about all of history so far.It is possible that we will have superintelligence in a few thousand days(!);it may take longer,but I’m confident we’ll get there.How did we get to the doorstep of the next leap in prosperity?In three words:deep learning worked.In 15 words:deep learning worked,got predictably better with scale,and we dedicated increasing resources to it.That’s really it;humanity discovered an algorithm that could really,truly learn any distribution of data(or really,the underlying“rules”that produce any distribution of data).To a shocking degree of precision,the more compute and data available,the better it gets at helping people solve hard problems.I find that no matter how much time I spend thinking about this,I can never really internalize how consequential it is.There are a lot of details we still have to figure out,but it’s a mistake to get distracted by any particular challenge.Deep learning works,and we will solve the remaining problems.We can say a lot of things about what may happen next,but the main one is that AI is going to get better with scale,and that will lead to meaningful improvements to the lives of people around the world.AI models will soon serve as autonomous personal assistants who carry out specific tasks on our behalf like coordinating medical care on your behalf.At some point further down the road,AI systems are going to get so good that they help us make better next-generation systems and make scientific progress across the board.

在tob领域，目前看到比较成体系的主要有这几类：1）一类是智能办公这类产品价值点主要体现在办公垂域场景中，比如办公场景下，需要快速总结群聊内容或会议信息，那就可以把群聊记录丢给大模型，让其总结出个一二三四出来。或者需要写个公文但没有思路时，ai给出的结构模板参考等。2）一类是智能客服这类产品通常借助agent来实现，接入企业的QA知识库，对用户的信息予以回应。并且依据用户的回答，下达诸如取消订单、催快递之类的action指令。3）一类是AI导购这类产品主要在用户和商家之间发挥作用。以往的商品搜索体验，往往是商家猜测用户会搜索的标签，用户猜测商家设置的标签。然而运用AI导购，能够依据用户的问题，结合产品的介绍和评论信息等，为用户推荐更为准确、精准的产品。比如，用户期望购买一个能容纳三个篮球的篮球背包。按照以往的流程，用户需要先查询能装下三个篮球的背包所需的容量，然后再在平台上搜索对应容量的背包。而使用AI导购，就能够将这一整个过程完全交由AI来处理。4）一类是智能营销此类别主要应用于营销环节，通过AIGC生成一些话术、物料、口播等内容，有些还会融入用户的个性化元素，以指导物料的生成。5）一类是智能人力资源目前，这类主要利用模型进行一些诸如简历初筛、JD自动生成、数据分析等工作。