1. Everyone should embrace AI
With the rapid development of AI, it brings us to a brand new era. In this era, AI will gradually penetrate into all aspects, such as: automatic driving, smart home, medical diagnosis, big models and so on. Everyone should actively embrace AI and let AI boost us.
2. AI is not replacing humans, but assisting them
Many people are very anxious about AI replacing human jobs, when in fact, AI is really positioned as an aid to humans to help us do our jobs more efficiently.
We can think of AI as a "co-pilot" that can help us with tedious tasks and provide valuable ideas, freeing up more time and energy for creative tasks.
Take the career of a designer, although AI can draw and come up with posters, but the design is certainly not 100% in line with what is to be fixed, but also need to continue to modify. Non-designer will modify? Can non-designers see what doesn't make sense?
To be honest, I don't get it, so even if the AI generates a series of images that require the designer to continue fine-tuning, the AI has just empowered the designer to be more efficient.
Then there are programmers, and while a lot of code can be generated automatically, do non-programmers understand the entire software engineering system? How does a non-programmer know if the code written is correct?
I guess it still has to be the programmer the only one who can go to a code generation tool. ai also just empowers the programmer and makes him funnier.
So AI is still assisting people in this industry and giving the industry in boosting efficiency. No need to be anxious, just embrace it positively.
3. What matters most is innovation and implementation
In the age of AI, innovation and execution, are paramount.
First of all, let's talk about creativity, innovation is based on our understanding of various industries, generate various ideas for application scenarios, and want to improve something through ideas.
Execution, then, is our ability to quickly turn those innovations into reality. In this era of rapid change and efficiency gains for everyone, it's all about speed.
Only with strong innovation and execution can we seize opportunities and stay ahead of the times.
4. Different people focus on different dimensions of AI
We divide the whole AI system into: technology bottom layer, technology middle layer, and technology top layer. The corresponding population is divided into: bottom layer researchers, middle layer technicians, and upper layer application personnel.
In the field of AI, different people can choose different directions to go deeper according to their backgrounds and interests:
- Bottom researchers: Responsible for algorithms and models that drive basic science advances in AI technology.
- Middle-level technical staff: Focus on application development for large or small models to ensure that AI technology can be effectively applied to real-world scenarios.
- upper layer application staff: Focuses on how to use a variety of AI tools to get work done, improve productivity and create value.
4.1 Underlying researchers
Underlying researchers are tasked with developing and improving AI algorithms and models. They usually have a deep background in math and computer science and are able to perform difficult scientific work. Their work lays a solid foundation for the development of AI technology.
Specific deep-dive directions include:
- Algorithmic Innovation: Researching new types of algorithms, such as deep learning and reinforcement learning, to improve the computational efficiency and accuracy of AI.
- model optimization: Developing more efficient model structures that reduce the consumption of computational resources and improve model performance.
- basic theory: Explore the fundamental theoretical issues of AI and provide theoretical support for future technological breakthroughs.
4.2 Middle-level technical staff
Mid-level technicians focus on how to apply large or small models to specific scenarios. They need to have good programming and system design skills to be able to translate research results into usable products and services.
Specific deep-dive directions include:
- application development: Develop applications based on large models, such as chatbots, intelligent customer service, etc.
- system integration: Integrate AI technology with existing systems to enhance overall system intelligence.
- data processing: Processing and managing large-scale data to provide high-quality training data for AI models.
4.3 Upper tier applications staff
The upper tier of applicators are general users and industry business experts, whose task is to find the best application scenarios for AI technology and utilize AI to improve work efficiency and create value. In this layer, we can refine a lot of groups, taking the self-publishing crowd as an example:
The self-publishing crowd can utilize AI technology to generate high-quality content, such as articles, images, videos, etc., to improve the efficiency and quality of content production.
- Content generation: Save time and effort by utilizing AI to generate high-quality articles, video scripts, and more.
- data analysis: Analyze user behavior data through AI to optimize content strategy and improve fan stickiness.
- automated marketing: Automation of marketing campaigns such as email marketing, social media marketing, etc. through AI.
5. Opportunities for ordinary people in the age of AI: the AI application layer
For the average person, the AI application layer is the area that presents the most opportunity.
While the underlying technical research can only be carried out by researchers and large companies, the application layer is accessible to everyone.
Just like when the Internet broke out, everyone was engaged in "Internet+", now we should focus on "AI+", applying AI technology to various industries and looking for new business opportunities.
At the AI application layer.AI AgentIt is the future direction for developers to make efforts. Developers can utilize programming skills and system design capabilities to build more and better AI application layer products. Combine AI Agent with industry business to create more useful applications.
For example, byAI Agentthat can develop intelligent customer service systems, automated marketing tools, industry-specific intelligent analytics platforms, and more. These applications not only improve efficiency, but also provide users with more personalized and specialized services.
6. Summary
Overall, in the age of AI, each of us should actively embrace AI technology and find our place in the AI ecosystem. Whether it's conducting basic research, developing applications, or utilizing AI to improve work efficiency, everyone can find their value in this era.
By focusing on the AI application layer, we are able to seize the opportunities of the times and enable AI to empower every industry and realize greater value.
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