search
HomeTechnology peripheralsAIKaifu Li talks about ChatGPT for the first time: revealing six major areas and three major investment opportunities

Kaifu Li talks about ChatGPT for the first time: revealing six major areas and three major investment opportunities

Beijing Innovation Works Headquarters, Li Kaifu, Chairman and CEO of Innovation Works and Dean of the Artificial Intelligence Engineering Institute of Innovation Works, first talked about ChatGPT and discussed AI2.0 Make trend judgments based on the times.

Kaifu Lee pointed out that ChatGPT is an application, which is built on a large model. ChatGPT is generative AI, and generative AI is a phenomenal application in the AI ​​2.0 era.

1. What is artificial intelligence 2.0?

"The United States is leading in 2.0, isn't the United States also leading in 1.0? Aren't we also catching up?" So what is AI2.0? Kaifu Lee explained in detail.

AI1.0 is a computer vision technology with the CNN convolutional neural network model as the core. It kicks off the era of AI perception intelligence. Machines begin to surpass humans in fields such as computer vision and natural language understanding technology, and create of significant value.

Kaifu Li talks about ChatGPT for the first time: revealing six major areas and three major investment opportunities

“But AI1.0 has also encountered bottlenecks. Most industries want to use AI, which requires huge costs to collect and label data. These data sets and many models are siled."

Li Kaifu pointed out that this is why most AI1.0 companies have invested large sums of research and development funds but still suffer losses all year round. In addition, AI 1.0 lacks the same scale capabilities as Windows and Android in the Internet era to lower the threshold of application development and create a complete ecological chain.

He admitted that because of this, AI 1.0 has not yet achieved real commercial success in several years.

The huge leap of AI2.0 has overcome the limitations of single domain and multiple models. It can use super massive data without manual annotation to train a basic large model with cross-domain knowledge and adapt it through fine-tuning. Assign and perform a variety of tasks to explore new business opportunities.

Lee Kai-fu believes that at this point, all user interfaces will be redesigned and rewritten, new platforms will be born and all applications will be rewritten.

2. Optimistic about applications in six major fields

Li Kaifu said that the development paradigm of AI2.0 is iterative. The first stage is human-machine collaboration, the second stage is partial automation, and the third stage It's fully automatic.

Based on this, Kai-fu Lee proposed that AI2.0 will accelerate the ignition of business potential in six major areas and enter a blowout period of applications that improve productivity.

First, AI 2.0 e-commerce/advertising. In the AI ​​2.0 era, e-commerce and advertising will be more driven by AI big data, capable of real-time testing and dynamic adjustment, and even integrate social hot spots a few minutes ago into advertising content to maximize conversion rates. Tailor-made and real-time content generation for different audiences, truly achieving “thousands of people, thousands of faces” marketing.

Kaifu Li talks about ChatGPT for the first time: revealing six major areas and three major investment opportunities

Second, AI 2.0 film and television/entertainment. AI can customize TV and short video content according to the public’s preferences, making it easier for the content it creates to attract the public’s attention and gain better ratings and reputation.

Third, AI 2.0 search engine. In the future, search engines will change from the traditional search model to a "question and answer" model. The next generation of conversational search engines will become the “AI 2.0 Holy Grail” that global technology giants compete for.

Fourth, AI 2.0 Metaverse/Youcan. AI 2.0 will greatly reduce the cost of content generation in virtual worlds such as games and the Metaverse, and AI’s multi-modal imaginative content generation will also become the mainstay of the Metaverse.

Fifth, AI 2.0 finance. Faster, more accurate, and smarter production methods will greatly improve the timeliness and output of financial news and market research analysis.

Sixth, AI 2.0 medical care. AI can quickly and accurately analyze a patient's overall health status, absorbing all data, biometrics, physical examinations, medical history and personal model predictions, becoming a powerful assistant for doctors and promoting the arrival of "personalized medicine".

3. Be optimistic about the three major investment opportunities

First, AI 2.0 intelligent applications. AI 2.0 applications will usher in a stage of blooming everywhere, including vertical AI assistants in various industries, metaverse applications and other previously unavailable applications will appear, creating new business models.

Second, AI 2.0 platform. AI 2.0 integration will accelerate the research and development and commercialization of the new generation of AI 2.0 applications. Sinovation Ventures is optimistic about AI 2.0 platform companies with strategic heights. AI large models are ushering in a period of major opportunities.

Third, AI infrastructure. In addition to applications and platforms, the infrastructure that supports AI model operation, management, and training is also a focus of Sinovation Ventures, including AI chip companies that support AI 2.0 giant model training, as well as those that can accelerate, reduce costs, and simplify AI training. An innovative technology enterprise with AI 2.0 infrastructure.

Li Kaifu introduced that Sinovation Ventures’ layout of “spire incubation + angel investment + VC funds” will help China lead the world in the next golden decade of artificial intelligence.

4. The "social harm" that AI 2.0 may bring

From a rational perspective, Kai-fu Lee reminded that in the future, AI may have hidden dangers of giant monopoly and information fraud, and repetitive workers may face unemployment.

Kaifu Lee pointed out that the current AI 2.0 cannot be completely correct, because AI cannot save the world's data and can only form abstract concepts through compression, so there will be a phenomenon of "seriously talking nonsense" .

More importantly, AI is currently unable to distinguish between authenticity and right from wrong. If it is used maliciously, it will bring immeasurable negative consequences.

The risk of unemployment is also worth worrying about. There is no doubt that the most creative top talents will take advantage of AI2.0 to comprehensively improve productivity and efficiency. But what follows is that repetitive jobs will be replaced by AI 2.0. People in these positions have to seek career changes and skill upgrades, including a high proportion of white-collar positions. They are in urgent need of It is necessary to enter industries that require greater value creation.

The above is the detailed content of Kaifu Li talks about ChatGPT for the first time: revealing six major areas and three major investment opportunities. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
2023年机器学习的十大概念和技术2023年机器学习的十大概念和技术Apr 04, 2023 pm 12:30 PM

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

人工智能自动获取知识和技能,实现自我完善的过程是什么人工智能自动获取知识和技能,实现自我完善的过程是什么Aug 24, 2022 am 11:57 AM

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

超参数优化比较之网格搜索、随机搜索和贝叶斯优化超参数优化比较之网格搜索、随机搜索和贝叶斯优化Apr 04, 2023 pm 12:05 PM

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠​审校 | 孙淑娟​简介​通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。​顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

得益于OpenAI技术,微软必应的搜索流量超过谷歌得益于OpenAI技术,微软必应的搜索流量超过谷歌Mar 31, 2023 pm 10:38 PM

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。​​​​截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

荣耀的人工智能助手叫什么名字荣耀的人工智能助手叫什么名字Sep 06, 2022 pm 03:31 PM

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有哪些人工智能在教育领域的应用主要有哪些Dec 14, 2020 pm 05:08 PM

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

30行Python代码就可以调用ChatGPT API总结论文的主要内容30行Python代码就可以调用ChatGPT API总结论文的主要内容Apr 04, 2023 pm 12:05 PM

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有哪些人工智能在生活中的应用有哪些Jul 20, 2022 pm 04:47 PM

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Atom editor mac version download

Atom editor mac version download

The most popular open source editor