The AIGC boom continues to "burn" and also affects and changes domestic investors from every aspect.

"After arriving at the company, we first answer emails, then check industry information and financing information, especially the AIGC track where new concepts appear every day, in addition to reading the latest academic papers from international academic journals. The biggest workload of this is checking industry research reports (research reports for short)." Xiaohui Wang, Managing Partner of Shengjing Jiacheng Investment, described his daily morning work rhythm to Burning Jiayuan.

Previously, if she wanted to obtain data on the scale of a certain industry, Wang needed to go through at least 5-6 research reports that were often dozens of pages long. In order to provide data to support the project, investors often need to spend more time looking for available data in the huge database of research reports.

Now "train AI to work for you", AIGC provides investors with efficiency tools.

"Now it's all AI+, I will use ChatGPT to highlight research reports and train ChatGPT to work for me." Wang told Burning Times that from the end of 2022 to the present, using AI tools to grab industry research reports and generate mind maps has multiplied her team's work efficiency. In addition, using ChatGPT to output basic code and take over design requirements has also saved Wang Xiaohui's efforts and costs.

Like Wang Xiaohui, Xiao, who is currently working in an overseas dollar fund, also said that in the overseas workplace, the AI tool is also a "magic tool for writing emails" to correct grammatical problems and expressions, and even some foreign investment institutions are trying to "let ChatGPT play the role of Soros, Warren Buffett, etc. to assist investment decisions. Some foreign investment institutions are even trying to "let ChatGPT play the role of Soros, Warren Buffett, etc. to assist investment decisions".

In addition to the auxiliary work, the AIGC fever has also brought about a change in the focus of investors.

At present, major domestic manufacturers such as Baidu, Tencent Youtu, Alibaba, Racer, Byte Jump, Netease, Shang Tang, Meitu, etc. have entered the AIGC track, including Baidu's Wenxin Yiyin, Tencent's writing robot "Dream Writer", Alibaba's AI online design platform Lubanner, etc., followed by AI leaders such as Wang Huiwen, Wang Xiaochuan, Li Zhifei, etc. also brought up the AI big model startup fever, AIGC, has become a hot area that people have to pay attention to investment.

Investors flocked to the AIGC investment track also appeared "good projects do not seek to invest" situation. A senior investor told Burning Sub-Year, "some investor friends and I complained, Wang Xiaochuan do big model, he took a large sum of money to invest were rejected."

At the same time, investors are looking for financing opportunities for good projects, but on the other hand, they need to be wary of being "cut leeks" by the AIGC entrepreneurs who rubbed the heat. But after researching, they found that they just copied the open source software of ChatGPT."

"Now many startups, back-end access to ChatGPT, front-end made a UI design, on the shelves of the Apple Store to boast that they are doing AIGC startups." Unknown Capital Managing Director William Wong said that this "batch of skin" AIGC project, "no technical barriers and business logic, just rubbing the heat.

Google CEO Eric Schmidt once said, "If someone offers you a place on a rocket, then, never mind the location is good or bad, go up first."

From web3 in 2022 to AIGC in 2023, investors are scrambling to get on the AIGC "express" train, after all, no one wants to fall in line under the boom.

But at present, there are still many challenges and problems to be solved in the domestic AIGC track, and even investors who are eager to get on the AIGC train are very cautious. Enterprise data shows that by the end of May, only 5 financing cases were completed in the field of AI text/image/video generation in 2023.

Under the wind mouth, investors are also inclined to rational, "now the concept of domestic AIGC is still on the early side, the wind mouth receded in the market whether there are still entrepreneurs continue to persist, is what we want to see." William added.

Crowding into the AI track, mud and sand

With the boom, investors are turning their attention to the AI track.

"Investors and entrepreneurs all over Silicon Valley are moving in this direction now." Jiang Tao, founder of CSDN and founding partner of Geek Gang Ventures, said bluntly at the Artificial Intelligence Conference Pioneer Session (GAIDC).

Under the boom, AIGC investment track also presents a hot, good projects have to be "grabbed", as well as the mud and sand, "rubbing the hot" projects and many other very different phenomena.

"Dabbling in the heat of more, too few good projects, encounter good projects, investors often rely on 'grab'." Wang Xiaohui told Burning Sub-Yuan.

As early as before 2018, Wang has been concerned about the AIGC field, spare early layout, she can also feel, with the end of 2022 ChatGPT triggered a buzz, driving the AI track investment projects completely "robbed", betting on the final good projects that can run out, become the goal of investors.

Wang added, "In any industry, there are not many good projects in the first place, and good projects are not worried about financing."

Even, as early as 2018, when Wang Xiaohui participated in a research institute exchange activity, he paid attention to the research shared by Zhang Linfeng, who was still a doctoral student at that time, about "AI for science", "his research was very peak technological innovation at that time and even now. That's why I expressed my investment intention early on, but he hadn't returned to China yet."

Wang Xiaohui said, wait until the epidemic during Zhang Linfeng returned to China to found the deep potential technology, a good project also triggered other large capital competition, and finally after several rounds of fighting, Wang Xiaohui only in the angel round of investment in deep potential technology, since then, deep potential technology and access to high tide, warp and woof, Qiming, Huawei Hubble and other institutions of multiple rounds of investment.

In this regard, Oasis Capital founding partner Zhang Jinjian said that with the influx of startups into the AIGC track, as of March 2023, the past three weeks, Oasis's team can only sleep four or five hours a day, a day to see close to 20 projects.

When we searched "activity line" and other platforms, ChatGPT and AIGC were on the top of the hot search list, and the AIGC summits, large and small, were also attended by major investment institutions.

Xiao said that in the financial sector, there will always be new hot spots, and with ChatGPT on fire, "companies will also ask us to look at the AI track," and just in the Japanese market she is responsible for, she also observed that "many AI companies that were originally listed and half-dead, after a fire many big funding came in."

Like Xiao, William told Burning Times that although he had previously been focusing on the AI track, he had mainly concentrated on face recognition and natural language processing directions, and the AIGC fever brought up by ChatGPT made him start to adjust his focus, "Now I will look more at the direction of chatbots and new application scenarios based on AI big models. "

Whether it is the early layout of the AI track investors, or just turn their attention to the later, busy in the "chaotic" AI track gold, but also because some of the hot startups "headache".

"Now many startups, in fact, no technical innovation at all, just access to ChatGPT, front-end packaging a little, do a UI design, on the shelves of the Apple Store to sell." william bluntly said.

This "batch of skin" AIGC project, the lack of technical barriers and mature business logic, more just to rub the heat for profit, "this project often only need to ask a few words, such as what is your algorithm? Where is the technical barrier? And then you can try to find out." william said.

"To digital people, for example, now the domestic start-up projects are saying they are original development, in fact, many (projects) are not at all, and end up spelling low price, application scenarios are also limited, there is not much to see." A small red book blogger @昊昊来过, who previously worked for a domestic dual-currency fund, told Burning Next Gen, "There is no lack of funding for the AI track, just that many good projects are now overseas."

And perhaps a more direct way to distinguish the startups that are rubbing it in is to distinguish the founders.

Wang Xiaohui told Burning Times, "In the past, capital liked entrepreneurs from big factories, but now capital prefers serial entrepreneurs, after all, past experience does not lie, and in the field of hard technology investment, we pay more attention to whether the founders have the ability to make disruptive technological innovations and industrialize these technological innovations. In this way we pay attention to their scientific background, whether they have published relevant papers in top international scientific journals, whether they are the lead author of the papers, whether the team has the ability to commercialize, etc."

"But in the AIGC field, we focus more on end-to-end models and want more people who are familiar with the industry to be able to translate AI capabilities into efficient tools." Wang added.

Training AI to work for itself

Under ChatGPT set off a big AI model startup boom, the value of AIGC, which burns hot, to assist investors in their work comes more directly and easily.

"For me, ChatGPT is simply the most efficient search portal for finding research reports (research reports) at the moment." William wong, Managing Director of Unknown Capital, told Burning Subgenre that as an investor, a necessary task every day is to find industry research reports, but in the past, to do in-depth research on an industry, one needed to switch multiple browsers, as well as brokerage websites, to download more than 10 research reports.

"After searching with ChatGPT, it can automatically grab the research reports, which can save me at least one to two days' time." william wong said excitedly.

"Investors all have to learn to train ChatGPT to work for themselves." Wang told Burning Times, "With ChatGPT you can take out industry research reports that are often dozens of pages and hundreds of pages, grab out the key points and form a mind map."

Wang graduated in 1991 from one of the few economics and management majors that had access to investment knowledge at that time. In the era without office software, Wang even needed to spend 2-3 weeks to build financial models, but now with AI tools, it also shortens the long document preparation time in the past.

And in addition to using ChatGPT to work for themselves, investors are also using AI to replace parts of their work such as design and code writing.

"ChatGPT is able to replace part of the design manpower." Wang said that because one of the data sources used to train ChatGPT is Github, which is the largest open source community for software, some common programs only need to input the needed functions, and ChatGPT can output the basic code, and many software companies are already using ChatGPT to improve the efficiency of software developers.

"Using AI to replace repetitive mechanical work can also help us reduce some of our expenses." Wang said.

Like Wang and William, Xiao said that in addition to using AI for document summarization, ChatGPT has become her "personal secretary" in the overseas English communication environment, "ChatGPT can help proofread grammatical problems and correct expressions. It is very useful for writing emails."

"In fact, ChatGPT can also be used to play the role of Soros, Warren Buffett, etc. It is very logical and can assist in decision making." @HaoHao came by to add.

Recently, according to the results of an experiment released by finder.com, a British financial advisory website, the net value of stock portfolios constructed from 38 listed companies recommended by ChatGPT rose about 4.9% in five weeks from March 6, outperforming 10 popular fund products recommended by Interactive Investor, a British online investment platform (average return Some European and American quantitative investment institutions are also trying to use ChatGPT to build investment strategies.

The AIGC boom continues to "burn" and also affects and changes domestic investors from every aspect.

"After arriving at the company, we first answer emails, then check industry information and financing information, especially the AIGC track where new concepts appear every day, in addition to reading the latest academic papers from international academic journals. The biggest workload of this is checking industry research reports (research reports for short)." Xiaohui Wang, Managing Partner of Shengjing Jiacheng Investment, described his daily morning work rhythm to Burning Jiayuan.

Previously, if she wanted to obtain data on the scale of a certain industry, Wang needed to go through at least 5-6 research reports that were often dozens of pages long. In order to provide data to support the project, investors often need to spend more time looking for available data in the huge database of research reports.

Now "train AI to work for you", AIGC provides investors with efficiency tools.

"Now it's all AI+, I will use ChatGPT to highlight research reports and train ChatGPT to work for me." Wang told Burning Times that from the end of 2022 to the present, using AI tools to grab industry research reports and generate mind maps has multiplied her team's work efficiency. In addition, using ChatGPT to output basic code and take over design requirements has also saved Wang Xiaohui's efforts and costs.

Like Wang Xiaohui, Xiao, who is currently working in an overseas dollar fund, also said that in the overseas workplace, the AI tool is also a "magic tool for writing emails" to correct grammatical problems and expressions, and even some foreign investment institutions are trying to "let ChatGPT play the role of Soros, Warren Buffett, etc. to assist investment decisions. Some foreign investment institutions are even trying to "let ChatGPT play the role of Soros, Warren Buffett, etc. to assist investment decisions".

In addition to the auxiliary work, the AIGC fever has also brought about a change in the focus of investors.

At present, major domestic manufacturers such as Baidu, Tencent Youtu, Alibaba, Racer, Byte Jump, Netease, Shang Tang, Meitu, etc. have entered the AIGC track, including Baidu's Wenxin Yiyin, Tencent's writing robot "Dream Writer", Alibaba's AI online design platform Lubanner, etc., followed by AI leaders such as Wang Huiwen, Wang Xiaochuan, Li Zhifei, etc. also brought up the AI big model startup fever, AIGC, has become a hot area that people have to pay attention to investment.

Investors flocked to the AIGC investment track also appeared "good projects do not seek to invest" situation. A senior investor told Burning Sub-Year, "some investor friends and I complained, Wang Xiaochuan do big model, he took a large sum of money to invest were rejected."

At the same time, investors are looking for financing opportunities for good projects, but on the other hand, they need to be wary of being "cut leeks" by the AIGC entrepreneurs who rubbed the heat. But after researching, they found that they just copied the open source software of ChatGPT."

"Now many startups, back-end access to ChatGPT, front-end made a UI design, on the shelves of the Apple Store to boast that they are doing AIGC startups." Unknown Capital Managing Director William Wong said that this "batch of skin" AIGC project, "no technical barriers and business logic, just rubbing the heat.

Google CEO Eric Schmidt once said, "If someone offers you a place on a rocket, then, never mind the location is good or bad, go up first."

From web3 in 2022 to AIGC in 2023, investors are scrambling to get on the AIGC "express" train, after all, no one wants to fall in line under the boom.

But at present, there are still many challenges and problems to be solved in the domestic AIGC track, and even investors who are eager to get on the AIGC train are very cautious. Enterprise data shows that by the end of May, only 5 financing cases were completed in the field of AI text/image/video generation in 2023.

Under the wind mouth, investors are also inclined to rational, "now the concept of domestic AIGC is still on the early side, the wind mouth receded in the market whether there are still entrepreneurs continue to persist, is what we want to see." William added.

Crowding into the AI track, mud and sand

With the boom, investors are turning their attention to the AI track.

"Investors and entrepreneurs all over Silicon Valley are moving in this direction now." Jiang Tao, founder of CSDN and founding partner of Geek Gang Ventures, said bluntly at the Artificial Intelligence Conference Pioneer Session (GAIDC).

Under the boom, AIGC investment track also presents a hot, good projects have to be "grabbed", as well as the mud and sand, "rubbing the hot" projects and many other very different phenomena.

"Dabbling in the heat of more, too few good projects, encounter good projects, investors often rely on 'grab'." Wang Xiaohui told Burning Sub-Yuan.

As early as before 2018, Wang has been concerned about the AIGC field, spare early layout, she can also feel, with the end of 2022 ChatGPT triggered a buzz, driving the AI track investment projects completely "robbed", betting on the final good projects that can run out, become the goal of investors.

Wang added, "In any industry, there are not many good projects in the first place, and good projects are not worried about financing."

Even, as early as 2018, when Wang Xiaohui participated in a research institute exchange activity, he paid attention to the research shared by Zhang Linfeng, who was still a doctoral student at that time, about "AI for science", "his research was very peak technological innovation at that time and even now. That's why I expressed my investment intention early on, but he hadn't returned to China yet."

Wang Xiaohui said, wait until the epidemic during Zhang Linfeng returned to China to found the deep potential technology, a good project also triggered other large capital competition, and finally after several rounds of fighting, Wang Xiaohui only in the angel round of investment in deep potential technology, since then, deep potential technology and access to high tide, warp and woof, Qiming, Huawei Hubble and other institutions of multiple rounds of investment.

In this regard, Oasis Capital founding partner Zhang Jinjian said that with the influx of startups into the AIGC track, as of March 2023, the past three weeks, Oasis's team can only sleep four or five hours a day, a day to see close to 20 projects.

When we searched "activity line" and other platforms, ChatGPT and AIGC were on the top of the hot search list, and the AIGC summits, large and small, were also attended by major investment institutions.

Xiao said that in the financial sector, there will always be new hot spots, and with ChatGPT on fire, "companies will also ask us to look at the AI track," and just in the Japanese market she is responsible for, she also observed that "many AI companies that were originally listed and half-dead, after a fire many big funding came in."

Like Xiao, William told Burning Times that although he had previously been focusing on the AI track, he had mainly concentrated on face recognition and natural language processing directions, and the AIGC fever brought up by ChatGPT made him start to adjust his focus, "Now I will look more at the direction of chatbots and new application scenarios based on AI big models. "

Whether it is the early layout of the AI track investors, or just turn their attention to the later, busy in the "chaotic" AI track gold, but also because some of the hot startups "headache".

"Now many startups, in fact, no technical innovation at all, just access to ChatGPT, front-end packaging a little, do a UI design, on the shelves of the Apple Store to sell." william bluntly said.

This "batch of skin" AIGC project, the lack of technical barriers and mature business logic, more just to rub the heat for profit, "this project often only need to ask a few words, such as what is your algorithm? Where is the technical barrier? And then you can try to find out." william said.

"To digital people, for example, now the domestic start-up projects are saying they are original development, in fact, many (projects) are not at all, and end up spelling low price, application scenarios are also limited, there is not much to see." A small red book blogger @昊昊来过, who previously worked for a domestic dual-currency fund, told Burning Next Gen, "There is no lack of funding for the AI track, just that many good projects are now overseas."

And perhaps a more direct way to distinguish the startups that are rubbing it in is to distinguish the founders.

Wang Xiaohui told Burning Times, "In the past, capital liked entrepreneurs from big factories, but now capital prefers serial entrepreneurs, after all, past experience does not lie, and in the field of hard technology investment, we pay more attention to whether the founders have the ability to make disruptive technological innovations and industrialize these technological innovations. In this way we pay attention to their scientific background, whether they have published relevant papers in top international scientific journals, whether they are the lead author of the papers, whether the team has the ability to commercialize, etc."

"But in the AIGC field, we focus more on end-to-end models and want more people who are familiar with the industry to be able to translate AI capabilities into efficient tools." Wang added.

Training AI to work for itself

Under ChatGPT set off a big AI model startup boom, the value of AIGC, which burns hot, to assist investors in their work comes more directly and easily.

"For me, ChatGPT is simply the most efficient search portal for finding research reports (research reports) at the moment." William wong, Managing Director of Unknown Capital, told Burning Subgenre that as an investor, a necessary task every day is to find industry research reports, but in the past, to do in-depth research on an industry, one needed to switch multiple browsers, as well as brokerage websites, to download more than 10 research reports.

"After searching with ChatGPT, it can automatically grab the research reports, which can save me at least one to two days' time." william wong said excitedly.

"Investors all have to learn to train ChatGPT to work for themselves." Wang told Burning Times, "With ChatGPT you can take out industry research reports that are often dozens of pages and hundreds of pages, grab out the key points and form a mind map."

Wang graduated in 1991 from one of the few economics and management majors that had access to investment knowledge at that time. In the era without office software, Wang even needed to spend 2-3 weeks to build financial models, but now with AI tools, it also shortens the long document preparation time in the past.

And in addition to using ChatGPT to work for themselves, investors are also using AI to replace parts of their work such as design and code writing.

"ChatGPT is able to replace part of the design manpower." Wang said that because one of the data sources used to train ChatGPT is Github, which is the largest open source community for software, some common programs only need to input the needed functions, and ChatGPT can output the basic code, and many software companies are already using ChatGPT to improve the efficiency of software developers.

"Using AI to replace repetitive mechanical work can also help us reduce some of our expenses." Wang said.

Like Wang and William, Xiao said that in addition to using AI for document summarization, ChatGPT has become her "personal secretary" in the overseas English communication environment, "ChatGPT can help proofread grammatical problems and correct expressions. It is very useful for writing emails."

"In fact, ChatGPT can also be used to play the role of Soros, Warren Buffett, etc. It is very logical and can assist in decision making." @HaoHao came by to add.

Recently, according to the results of an experiment released by finder.com, a British financial advisory website, the net value of stock portfolios constructed from 38 listed companies recommended by ChatGPT rose about 4.9% in five weeks from March 6, outperforming 10 popular fund products recommended by Interactive Investor, a British online investment platform (average return Some European and American quantitative investment institutions are also trying to use ChatGPT to build investment strategies.