I read a blog post two days ago, which mainly talks about the products of start-up companies by overseas entrepreneurs. I compiled it and shared it with you. If you are also paying attention to the field of AI, you may wish to compare it.
Return to the topic of this article.
From time to time, friends ask me: Is there a tool that can automatically complete this series of tasks? I would like to have a tool that can help me automatically splice these materials together?
For a while, it seems that you are out if you don’t use AI. AI has indeed strengthened the productivity and revenue structure of some people, but there are also some people who are not interested in AI because AI does not help their lives and work at all. When chatting, knowing this thing can reduce our communication costs, and nothing else. Those who are good at adapting AI to their own applications have already used AI to support themselves. Those who just watch and play with it will naturally not find out what AI can do for them. You can probably tell one or two from the number of visits to ChatGPT's official website, but it does not affect ChatGPT's revenue. What remains are customers who are willing to pay. The loss of those who look twice and find that there is nothing interesting is not good for ChatGPT. loss.
In the short term, people tend to overestimate the value of a technology, and in the long term, people tend to underestimate the value of a technology. This has been the case since ancient times.
The marketing of many courses is indeed profitable: if you master this set of AI tools, it is not a dream to realize hundreds of thousands of dollars a month. The gold that a gold digger can find on the gold panning road is random, but the shovel seller on the gold panning road must have found gold, because he doesn't care if you don't find gold, he just provides the tools, and how to use the tools is all up to you. . The same goes for similar courses. The course delivers content to you. Whether you can actually realize it based on your own conditions is a question that everyone needs time to think about. It's not that you can overcome obstacles by mastering a sharp weapon, but you have to learn and use it.
Recently, I have joined many WeChat groups intensively. The group titles are related to GPT, AI ecology, digital human live broadcast, AIGC entrepreneurship, AI business, AI players, AI learning, etc. In some groups, accounts and APIs are still the mainstream. , some groups have a strong technical atmosphere, some are discussing ecological development, some are studying how to start a business and develop new applications to become bigger and stronger, and some are discussing how to start a side business. This state will continue for a while, as With the opening of large domestic AI models, more and more people will join this feast.
The emergence of AI has given us new possibilities. Previously, some product technologies had bottlenecks. AI can already cover this problem, but the key issue lies in the application scenarios, rather than looking for nails everywhere with the hammer of AI. Unless it is a problem that can only be solved with AI, or a product that is native to AI, for products under other ideologies, AI can only be the icing on the cake and will not determine the direction of the product.
Agents are the mainstream direction in the future. MetaGPT or ChatDev are agents in the software industry. After receiving a task, the agents make plans and execute the plans independently, and finally deliver the results. It has gradually evolved from the earlier AI Agents and has made great progress. This is the early form of future intelligent assistants. The key application fields of generative AI: images, audio, video, text, code, 3D models, etc. are still iterating rapidly. This is also a relatively mature business model in the current entrepreneurial field, but AIGC is not the only one. There are other fields worthy of everyone’s attention. Go explore.
The following two pictures are derived from the classification and summary after reading a certain securities research report. Investors will do more in-depth research before the public. 
[Knowledge insight refers to obtaining deep insights and understanding through in-depth understanding and analysis of data, information and facts. 】
Therefore, you might as well check out the AI products currently available to you to see if any of them exceed this range. Only by starting from the macro form, then moving to the micro product level, closing and releasing, can we have a clearer view of the current development of things.
I hope the above can give you some thoughts. Welcome to leave a message for discussion.
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