AI Technology
March 2023
In recent years, artificial intelligence has made significant strides in the field of gaming, beating human champions in games like chess and go. In 1997, an AI system called Deep Blue, created by IBM, defeated chess champion Garry Kasparov in a six-game match. More recently, in 2016, an AI system called AlphaGo, created by Google's DeepMind, beat the world champion in the ancient game of Go. This was considered a major milestone in the field of artificial intelligence, as Go is a much more complex game than chess and requires a different kind of strategic thinking. Since then, AI has continued to make progress in the field of gaming, with algorithms capable of beating humans in a wide range of games, from poker to video games. These achievements have not only demonstrated the power of AI, but also rAIsed questions about the future of gaming and the role that humans will play in it.
In December 2018, a portrait created by an artificial intelligence algorithm was sold at Christie's auction house in New York for $432,500. The portrait, called "Portrait of Edmond de Belamy," was created by a Paris-based art collective called Obvious using a technique called "generative adversarial networks" or GANs. GANs involve two neural networks, one that generates images and another that evaluates them for their authenticity. The two networks work together to create images that are increasingly realistic and convincing. The sale sparked a debate about the value of AI-generated art and whether it should be considered "real" art.
Jason M. Allen of Pueblo West, Colorado, won the blue ribbon in the Colorado State FAIr's art competition with a piece created using artificial intelligence. His win sparked a debate about the ethics of A.I.-generated art, and whether or not it counts as cheating. While some artists are wary of the technology, Mr. Allen believes that the focus should be on those who choose to replace human artists with A.I. tools, rather than the technology itself.
The first thing that will be replaced by AI image generation must be the most patterned commercial image production. In the past, we may have habitually thought that AI's first replacement should be repetitive physical labor, but the maturity of AI art has let us see that computers are not following human logic growth. Comparing to many physical labor, AI may first replace many primary brain labor. A lot of manual labor is closely integrated with the various stages of mechanical tools, requiring humans to operate in the field of environmental requirements. Offline workplaces need to deal with more complex environmental factors, with many offline stages being linked together, not all of which are so easy to carry out partial AI replacement. Brain production, however, is easier to achieve through learning big data algorithms in the computer for AI.
Compared to logical and believable text, believable images are not as easy to generate automatically. What AI art does not yet have the ability to express specific human emotions, what AI can do is to arrange and combine symbols, and the result of the combination can convey the corresponding aesthetic feelings. AI creates aesthetic feelings that are either the most patterned or very different and unexpected with strong heterogeneity.
When faced with the need to express the reality of human emotions in a particular context, AI is very powerless. Because the expression of this emotion is too complex and specific, and has a realistic context, not just through the computer's big data learning can be done automatically. But artificial intelligence is now researching directions including emotion recognition, psychological and spiritual assessment, and this expansion of algorithms is no longer limited to attraction to people, but is becoming prescribed. So it is likely that in the future than AI can fully cognize and imitate human emotional expression, it will first do to prescribe and shape the human emotional system.
I believe that in the future, AI deeply involved in the actual design workflow is the trend. However, there are many opponents who say that AI can only generate intentional drawings and renderings, and AI can't do the detailed flat and vertical sections and many very complicated things that need to be considered in the actual project level. These statements are not without merit. In any case, it is not realistic to let AI tools completely replace human beings to complete the whole process of making plans and drawings now, because the actual project is not a student assignment, and there are too many details and specific requirements to consider.
However, AI doesn't work very well now doesn't mean it won't work well in the future. When the world's first car was invented, it was not only slow, but also unsafe and often broke down, and had no advantage over horse-drawn carriages. But the significance of the first car in is a change in concept, is the adoption of the internal combustion engine and the realization of automation. The use of AI is also the same reason, based on artificial intelligence and a large amount of data for machine learning technology, for the traditional designer's work model is also new. The best is yet to come.
Moreover, AI technology is not yet the same as the first car, it has already demonstrated a great ability in the design industry, and it is developing rapidly. A year or two ago, typing a few lines of text to generate highly expressive renderings seemed like a pipe dream to us, but now it's a reality. AI technology has evolved so quickly in recent years that new AI models and versions, which are quickly outdated, sometimes come out with models that are more than an order of magnitude or two better than the last template. What AI tools can do in the design industry in the next three to five years is anyone's guess. It is not impossible to come up with multiple solutions in a few seconds and automatically produce a full set of drawings in the future. Although many computer professionals say that this wave of artificial intelligence is coming to an end, but for the non-computer industry, the widespread use of AI technology has only just begun to bring a huge increase in productivity, while the impact of AI technology on the traditional work patterns and practitioners in the design industry has only just begun.