In a surprising turn of events, my son has started giving me fashion advice, devised an intense daily workout routine to whip me into shape, and even shares stock trading tips like a pro. But the most astonishing change is his newfound passion for poetry and his ability to tackle homework independently. All of this leaves me torn between showering ChatGPT, the revolutionary natural language processing (NLP)-based AI Chatbot, with praise or criticism. Who would have thought my son would become a poet, all thanks to AI?
With its tremendous popularity, ChatGPT amassed an impressive 100 million users within just two months of its launch, surpassing the iconic automatic rice cooker that revolutionized 1950s Japan. It’s worth noting that ChatGPT can even provide instructions on cooking the perfect rice. In a short span of six months, the number of GPT-3 based models skyrocketed from one to 300,000, while the market size for Generative AI is projected to grow from $11.3 billion in 2023 to an estimated $51.8 billion by 2028, as predicted by MarketsnMarkets. The valuation of Generative AI firms has also seen a significant surge, with the number of deals increasing from 65 worth $271 million to over 110 deals worth $2.6 billion.
The future technology roadmap promises exciting developments, with a shift in focus from text and coding to encompassing images and videos. Eventually, fully autonomous Generative AI systems will emerge, opening up an almost infinite number of use cases. However, the widespread adoption and power of this technology necessitate strong ethical and regulatory safeguards.
A World of Infinite Possibilities
Generative AI tools, consisting of large language and image AI models, have unleashed a realm of possibilities for the content creation industry. These tools enable automated content generation, leading to improved quality, variety, accuracy, and relevance of content, along with enhanced personalization. Every aspect of content creation, be it marketing, software, design, entertainment, or interpersonal communications, stands to benefit from Generative AI.
Market research conducted by Markets and Markets in the EU and US revealed that the applications of Generative AI will continue to expand as its capabilities grow. Initially, it will drive productivity gains in content creation, later resulting in improved operational and resource efficiencies in fields like predictive maintenance. Ultimately, Generative AI will contribute to breakthrough innovations in drug and product development.
The automotive industry, in particular, stands to be a major beneficiary of Generative AI.
Generative AI and the Future of the Automotive Industry
Generative AI is considered the key to unlocking a truly autonomous vehicle (AV) future. In April 2023, Haomo.AI, a Chinese technology start-up backed by Great Wall Motor, introduced DriveGPT, an autonomous driving support platform based on a generative large-scale model (LLM). DriveGPT combines reinforcement learning from human feedback (RLHF) with actual manual driving data, enhancing cognitive decision-making capabilities in autonomous driving.
Generative AI models provide critical support for AV research and development by facilitating the simultaneous generation of multiple scenarios, predicting future vehicle trajectories, and advancing decision reasoning chains. By creating new content such as images, videos, and text, Generative AI can generate virtual environments and simulate real-world scenarios, enabling AVs to learn and adapt in a safe and controlled environment.
AV development requires accurate and reliable sensor data for training purposes. Generative AI can generate massive volumes of synthetic data that accurately represents real-world driving scenarios, eliminating the need for expensive and time-consuming field tests. Moreover, Generative AI can generate vast amounts of data to train decision-making models, incorporating inputs such as sensor data, traffic patterns, and pedestrian behavior for real-time decision-making in AVs.
Generative AI will also revolutionize vehicle personalization. Faraday Future Intelligent Electric (FF) recently introduced its Generative AI Product Stack, showcasing how a full stack generative AI software powers personalized services and experiences for drivers in the cockpit domain. Features will include intelligent search, text queries, translations, and recommendations for video/audio entertainment choices.
Furthermore, Generative AI will revolutionize in-car personal assistants, leading to intelligent and conversational support capabilities. Imagine having an AI-powered personal assistant in your car, much like an advanced version of Siri or Alexa, assisting with various tasks and providing a seamless user experience.
Generative models will also find extensive applications in marketing and advertising, creating more engaging customer experiences. Tools like Jasper, built on GPT-3, can generate sales emails, blogs, social media posts, and other customer-focused marketing content. Image generation models like DALL-E 2 are gaining traction in advertising. For car companies, which historically have spent significant amounts on marketing with minimal results, Generative AI offers the potential for better tracking and optimizing marketing spend.
Beyond marketing, Generative AI will drive cost optimization in manufacturing and supply chains, leading to substantial savings.
Moreover, Generative AI’s exceptional capabilities in data synthesis, analysis, pattern detection, and outcome prediction can significantly accelerate product development in the automotive industry. It has the potential to reduce the time required for platform/architecture development and new electric vehicle (EV) manufacturing by three to six months, providing a substantial advantage.
A Winning Combination: Human Imagination & Technological Innovation
According to the World Economic Forum’s Future of Jobs Report 2023, machines are projected to perform almost 43% of tasks by 2027. Every industry, from finance and banking to retail and media, will be profoundly impacted. Even traditionally creative pursuits, such as writing, design, poetry, and art, will not remain insulated.
In April of this year, Boris Eldagsen declined an award in the “creative photo” category at the Sony World Photography Awards, revealing that his winning entry was generated by AI. His gesture sparked a debate about whether AI-generated images can be considered art and the value of technology without human imagination and creativity. The discussion around Generative AI’s profound rewards and risks will continue to grow more complex as boundaries blur and the human experience undergoes transformation. Navigating this new world successfully will require harnessing the winning combination of human imagination and technological innovation. Meanwhile, I can only hope that my son’s newfound poetic endeavors aren’t solely the result of a hallucination inspired by Generative AI, and that he doesn’t aspire to be the next Poet Laureate without true creative talent.