It has been two years since everyone’s attention has been occupied by generative AI and the “magic” it can create. ChatGPT, as the pioneer in this field, has probably been discussed the most in different contexts. Some researchers believe that generative AI will lead humanity into self-distraction, whereas others are optimistic that if we control it correctly, we will have extraordinary outcomes in a few years only, living in the world of advanced technology and robotics.
A Pew Research Center survey found that 52% of Americans are concerned that AI might cause negative consequences, however, a smaller portion (36%) also expressed mixed feelings about the issue. Of course, these percentages change over time when people get to know more about AI. One of the most promising applications of LLM technology lies in its ability to revolutionize the way we search for information, which is the most obvious usability people know about.
Recent studies estimate that AI-powered search engines could increase worker productivity by up to 1.9%, translating into trillions of dollars in additional global GDP in the future decade. Additionally, separate studies found that businesses that leverage AI for knowledge management report a 33% reduction in the time it takes employees to find the needed information.
With this article, we want to go beyond what is known about the capabilities of generative AI models, ChatGPT in particular, and discuss the significant transformations they can contribute to.
The hyper-personalization of gaming platforms
Generative AI is a unique tool for developers to enhance their coding functionalities and the outcome of their work, based on the active involvement of players in the development process, becoming a part of collaborative development. Players can use natural language to describe their desired game elements, with AI offering initial concepts, from character designs to level layouts. This doesn’t replace human creativity but augments the process, enabling even those without technical skills to contribute to building their dream game experiences.
This is one step toward game personalization, a crucial factor since every player would like to see a “tailor-made” game according to their preferences. Those who play online casino games usually have a wide selection of gambling options, but they may have different levels of skills in each game. Generative AI can transform the selection of offered casino games, not based on manual customization, but automated user personalization.
Do you enjoy high-stakes poker? The platform might highlight upcoming tournaments or suggest opponents with similar skill levels. Are you a fan of classic slots? AI could analyze your preferred themes and bonus features, recommending games that align with your interests. This level of personalization goes beyond simple suggestions, potentially influencing everything from the games themselves to bonus offers and loyalty rewards programs.
Workplace automation on a higher level
One intriguing area lies in generative AI’s potential to elevate document creation and analysis regarding the opportunities to automate workplace daily tasks. According to the research, knowledge workers spend an average of 19% of their workweek searching for information and 30% creating content.
But why waste precious time on those tasks when AI assistants can draft initial outlines, research summaries, and even presentation slide decks, tailored to your needs and communication style? They can easily learn the company jargon and preferred writing style, ensuring the output aligns seamlessly with the brand voice and style. Although many of us fear losing jobs to AI, it is worth mentioning that this doesn’t replace human input but frees us from the initial simple work, allowing us to focus on critical thinking and creative refinements.
ChatGPT’s ability to understand and generate human-quality text plays a pivotal role. It highlights the increasing power of generative AI to perform tasks and actively participate in our work’s creative and problem-solving aspects. The workplace of the future looks increasingly collaborative, where AI tools serve both as productivity accelerators and contributors to innovative ideas. This collaborative workflow requires good planning, not just around technology but also around training employees, in order to maximize the potential benefits of AI-empowered office work.
…Up to the creation of humanoid robots
The most fascinating part is the potential of having humanoid robots. Also, let’s admit, it sounds a little scary, too. Nvidia, one of the most advanced technology companies in the world, recently announced its plans to work towards creating humanoid robots, by helping specialized companies with high-end software development, where generative AI has a significant place.
Humanoid robots, with their attempts to mimic us humans have always been an interesting topic of observation. Yet, beyond the metallic exterior, there was a challenge in teaching them to understand the world and speech on a level that generative AI can today provide, unlocking the potential for humanoids to evolve from simple imitation to true interaction with their environment.
The example of humanoid robots and other technologies expected to occur in the future opens the door to possibilities generative AI contains, moving beyond just generating texts and images.