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"Create new games in seven days", "AI completes all games automatically!"... Following various AI paintings, AI synthesized photos and videos, AI has opened a new carnival in the gaming field.
For a long time, games and AI have always had a close relationship of "mutual support" - on the one hand, games serve as AI scientific research bases, driving the progress of AI technology; on the other hand, AI is positioned as an advanced technical tool, bringing benefits to the gaming experience. More possibilities. Today, ChatGPT has completely detonated the field of AI, and industries related to artificial intelligence have been deeply affected. The relationship between games and AI has also become deeper.
AI is the living water source of the game
With the popularity of AI painting and AI synthesized pictures and videos, the importance of AI technology applications has become more and more prominent. The discussion of "AI" in all walks of life continues to increase, and the topic of "AI games" has been even more popular by NVIDIA. , Microsoft, Tencent, MiHoYo and other major domestic and foreign companies frequently mention it. The reason is very straightforward and simple - now that artificial intelligence technology has entered the practical stage, AI can more easily play a role in the game field, and its highlighted value is more intuitive.
On the game development side, AI can run through the entire chain of game development, production, and operation, promoting high-quality development of the game industry. In the field of games, the cost of time and money behind high-quality game masterpieces is very high. With the improvement of productivity brought about by AIGC technology, the impossible triangle of "high quality-low cost-short time" in game development or will be broken.
For example, in the game development process, developers can first use AI to generate a large number of first drafts of designs, and then screen and modify them on this basis, effectively reducing game production time to a certain extent. At the same time, the application of AIGC can liberate some human resources from a large amount of repetitive work, allowing them to focus on more creative aspects, thereby making the development of "good games" more time-saving and labor-saving.
On the game client side, AI can make the machine more "soul" and enhance the user's interactive experience in the game. Generally speaking, NPCs in games are pre-produced by the game team with fixed texts to communicate with users. The dialogue content is rigid and lacks "soul". Adding appropriate AIGC functions can allow them to truly "speak."
Take the "Game Version ChatGPT" mobile game as an example. The NPC characters in this version of the game can independently give logical behavioral feedback based on the dialogue content. Players can freely generate dialogues with intelligent NPCs. , to achieve in-depth interaction with NPC.
Coincidentally, MiHoYo's "Honkai Impact: Orbital Orbit" also adds AI technology to the behavior model of NPCs, making it more natural to interact with users. It can be seen that to a certain extent, with the support of AI, game products can be more exquisite and better suited to user needs.
Of course, from the perspective of game industry participants, the core driving force that drives many major manufacturers to collectively increase their investment in AI games is not only that AI technology can be used to help games achieve a sense of reality and immersion, but also that AI can continue to Use the massive data generated by the game for self-correction and self-improvement.
Games are the testing ground for AI
As we all know, the four major elements of AI research are algorithms, data, computing power, and scenarios. However, faced with problems such as difficulty in algorithm testing, scarcity of scenarios and data, and expensive computing power, as well as the complex and changeable characteristics of real-world scenarios, there are not many environments suitable for AI research. But in game scenarios, AI can complete experiments relatively easily and reduce trial and error costs.
On the one hand, game avatars can repeatedly train AI interactive abilities such as dialogue, listening, and speaking. Looking back at the development of “AI games”, the most classic one is the impact of board games on the evolution of AI. There have long been chess games that inspired AI thinking and trained the DeepMind AlphaGo series to defeat human players; Meta currently uses the game "Diplomacy" to experiment with the negotiation, persuasion and cooperation capabilities of AI CICERO.
It is reported that Meta’s CICERO can infer the player’s beliefs and intentions through dialogue and generate dialogue based on its plan. It is currently able to achieve human-level performance in “Diplomacy”. Data shows that in 40 anonymous online matches, Cicero's average score was more than twice that of human players, and it ranked in the top 10% in more than one match.
There is no shortage of data resources in the game. Players generate a large amount of data every day in the game for AI to conduct in-depth learning. Choosing to explore AI capabilities in complex gaming games is a good way to "make AI closer to humans" .
On the other hand, the game can simulate most scenes in reality, providing a good reference for AI to be implemented in real-life scenarios. In the game, real-life scenes can be restored with high simulation to create suitable conditions and environment for AI learning, while the AI research team can continuously polish AI algorithms and verify technical effects through complex game scenes.
For example, in the study of self-driving AI algorithms, researchers extracted training data in different scenarios from "GTA", and then provided these labels to the machine learning algorithm, so that it can identify cars, pedestrians and cars displayed on real streets. other objects to further optimize the automatic driving effect.
Including the now well-known ChatGPT, its birth also benefited from the disguised promotion of the DOTA2 game project. It is undeniable that games have always been an important training ground in the field of artificial intelligence, and may also be a key driver of changes in the AI industry in the future.
At least judging from the successful case of ChatGPT, game technology can indeed drive the innovative development of AI, so it may be speculated that the next milestone product of AI is likely to be born with the continuous upgrading of game technology.
To sum up, now that ChatGPT is a big hit, the integration between AI and the game industry is getting closer. On the one hand, related AI technologies have been deeply involved in the gaming field, bringing new changes to the industry; on the other hand, the good simulation environment of game scenes has fed back the upgrade of related AI technologies. In this interactive relationship, the game track will be able to fully absorb new "nutrients" and achieve true growth.
ChatGPT gives AI games more possibilities
ChatGPT detonated the field of AI and ignited the enthusiasm of players on all tracks. It is not difficult to find that AI games have become the core direction of domestic and foreign leading companies such as Tencent, NetEase, NVIDIA, and Microsoft. The reason is that under the background of the popularity of ChatGPT, AI games have shown huge development potential.
The first is the re-improvement of profitability. On the one hand, ChatGPT resonates with the gaming industry and promotes the development of chips, terminal hardware and other related businesses. What is more obvious is the hot sales of chips. Take Nvidia, for example, its chip business base has always been games. The growth of artificial intelligence business can bring it additional profit directions, such as the big selling point of AI game chips.
On the other hand, from the perspective of the game product itself, ChatGPT related technologies improve players’ gaming experience, which to a certain extent will lead to an increase in the number of users, payment rates and ARPPU (average revenue per paying user).
The second is a new extension of application scenarios. On the B-side, major manufacturers can use AI technology to provide game developers with more diverse solutions. For example, Tencent launched a 3D virtual scene automatic generation solution that uses AIGC technology to help developers create highly realistic and diverse virtual city scenes in a very short time.
In fact, it’s not just Tencent. Nowadays, deep cultivation of B-side commercialization has become a common keyword among major manufacturers. They are all looking forward to the B-side’s explosion in the trend of “AI games”. At present, Baidu and Alibaba are actively embedding generative AI into their own products. In the future, it may be a matter of time before they, like Tencent, try to make the seeds of "AI games" come to fruition on the B-side.
Furthermore, the development of the two major industries of AI and gaming has been able to move forward. In the field of AI, games facilitate AI training and accelerate AI research and development progress; in terms of games, AI drives game innovation and enhances game experience. To a certain extent, AI games can simultaneously raise the development level of AI and gaming. For players like Nvidia and Tencent who intend to focus on both AI and gaming, it is imperative to promote the in-depth development of AI games.
AIGC continues to deepen, and games may become the best focus for AI
Through the launch of the ChatGPT series of products, AI technology has received unprecedented attention. However, in terms of reality, the influence of foreign AI technology is even greater. For domestic manufacturers who want to achieve long-term development of AI, it is urgently needed. Find a good starting point for AI, and games that integrate text, images, sound effects and other elements have become the best channels for the implementation of AI technology.
At present, major manufacturers are vigorously promoting the combination of AI and games, and "AI games" have become a general trend - Alibaba's Lingxi Interactive Entertainment "Three Kingdoms·Strategic Edition" adopts Qiyuan World Game AI solution, Muton Technology "MLBB" uses hyperparameter AI Bot and so on.
AI and games have been deeply bound. In the future, with the further implementation of AIGC-related technologies, the value of the game industry will also be re-examined. After all, in essence, games, as a collection of major content elements, can naturally fully benefit from the changes in content productivity.
According to calculations by Guotai Junan Securities, the actual sales revenue of the domestic game industry in 2022 will be 265.9 billion yuan, and the expected research and development expenses will account for 15%. Assuming that the proportion of AIGC that can be AIGC in the future is 50%, then the market size of AIGC application in the current game industry It can reach about 20 billion yuan. From this point of view, integration with AIGC is expected to increase the market value of the game industry.
However, it should be noted that for the entire game industry, "AI games" have become a trend, bringing new opportunities but also many unknown challenges.
For example, AI research and development is progressing slowly, and related product applications cannot be implemented in the game industry, which will have an impact on the commercial value and investment return of game products; data security issues involved in the training process of artificial intelligence models based on deep learning; AI technology With the development, game products are facing a new round of supervision and so on.
Like the development of anything, AI technology will also have two sides. The combination of games and it may not be completely satisfactory, but what is certain is that the addition of AI technology is expected to improve the quality ceiling of the game industry. In the future, it will be accompanied by As AIGC-related technologies continue to deepen, "AI games" may open up a different "new world."
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