[Tech] The Dawn of an Ultra-Connected Era:
Blurring Industry Lines Through the Fusion of Mobility and GPT
March 28, 2024 | SEOUL
DRIMAES product mentioned within these articles are offered by DRIMAES, Inc.
In these times when the emergence of a vehicle-centric 'Jarvis' seems imminent, we truly sense the opening of the 'Era of AI'. The advancement in technology has fundamentally altered our way of living, positioning the GPT ecosystem at the heart of this transformation. The innovation it has brought across all industries, including the mobility sector, is capturing global attention. The mobility industry is evolving beyond mere transportation means into intelligent partners that communicate with us and make our lives more convenient.
Software that Communicates with Humans
The progression of AI technologies like Generative Pre-trained Transformers (GPT) has transformed cars from simple machines into intelligent entities capable of interacting with users. A prime example is the AI assistant 'Jarvis' mentioned earlier, featured in the Marvel Cinematic Universe (MCU) as Iron Man Tony Stark's AI helper.
In the 'Iron Man' movie, Jarvis learns all data regarding the household's devices, Iron Man's suit, and various weapons, executing commands through voice commands. The high level of intelligence displayed by Jarvis in the film has instilled dreams of future experiences in people.
Such AI-based software can recognize user voices and provide responses through natural language processing. For instance, cars can directly answer requests like inquiring about the weather or locating the nearest gas station while driving. They can also offer personalized services by learning the driver's habits and preferences.
AI technology, capable of thinking and acting like humans by learning massive amounts of data, is becoming more sophisticated everyday. Unlike the early stages of AI, which were limited to data collection and learning, the establishment of the GPT ecosystem has led to the emergence of various forms like ChatGPT, Gemini, and Bard. These can now analyze, predict, and suggest, moving quickly to a level where they can perform complex tasks. If there's potential for applying AI technology, any field could benefit from the diverse assistance offered by generative AI in the future.
Major car manufacturers worldwide are actively adopting AI technology to seek innovative changes. Companies like BMW, Mercedes Benz, GM, and Peugeot are closely collaborating with major semiconductor and cloud-based AI solution providers to design new or more convenient car experiences using the GPT operating system. The methods and outcomes of these collaborations are eagerly anticipated.
Not Everyone Desires a Jarvis
So, how should we present this remarkable technology to consumers? We might dream of a Jarvis-like presence that jokes with us and occasionally inquires about our family's well-being. However, humans are more delicate and emotional entities than artificial intelligence. It's conceivable that some might be apprehensive about AI or robots detecting their emotions.
The idea of AI constantly collecting information from unseen places, extracting peculiarities from our voices and expressions, might lead to privacy concerns. This group of consumers does not wish for AI to resemble humans and prefers to maintain control over significant decisions like attire for important meetings or investment choices. Essentially, they value reliability in AI not 'crossing the line' and focus on the 'annoying and cumbersome tasks' we face.
Thus, we're closer than ever to the common scenes depicted in movies, an undeniable fact. However, within the still-nascent GPT ecosystem undergoing continuous expansion, there remain temporal and resource limitations to bringing these capabilities directly to consumers.
DRIMAES aims to explore new approaches starting from the most basic form. 'Without unnecessary interaction, yet aptly responding in various forms,' and most importantly, 'Motionless', not requiring any additional action from the user, defines the effective synergy between GPT and mobility as seen by DRIMAES.
This marks the beginning of personalized concierge services in an ultra-connected society. Vehicle-centric data, and more so, the car itself learning to diagnose, share, and suggest solutions to problems without the need for queries or checks, heralds the era of vehicle-centric GPT services soon to unveil. DRIMAES’ journey towards a distant future continues unabated; stay tuned for our progress.
