Artificial intelligence (AI) researchers have pushed the boundaries of innovation by crafting and honing large language models (LLMs), demonstrating astonishing aptitudes across diverse domains and challenges, which has significantly challenged our comprehension of learning and cognition. OpenAI's latest creation, GPT-4, harnessed unparalleled computational resources and data during its development. In this report, we delve into our exploration of an early iteration of GPT-4, when it was still in the dynamic phases of development by OpenAI. We argue that this early incarnation of GPT-4 represents a fresh cohort of LLMs, alongside peers such as ChatGPT and Google's PaLM, displaying a more generalized form of intelligence than previous AI models. We delve into the growing capabilities and implications of these models and illustrate that, surpassing mere mastery of language, GPT-4 can adeptly tackle novel and intricate tasks spanning domains like mathematics, coding, vision, medicine, law, psychology, and more, all without necessitating specialized prompts. What's more, in all these tasks, GPT-4's performance remarkably approaches human-level proficiency and often surmounts prior models, including ChatGPT. Given the extensive and profound spectrum of GPT-4's competencies, one might reasonably consider it as an early, though still developing, instance of an artificial general intelligence (AGI) system.
Throughout our examination of GPT-4, our primary focus revolved around uncovering its boundaries. Our endeavors delved into the intricacies of identifying the constraints and hurdles that lie ahead in the journey towards more profound and all-encompassing forms of artificial general intelligence (AGI). This endeavor also prompted us to contemplate the potential necessity of venturing into novel paradigms that extend beyond the realm of mere next-word prediction. As we draw our insights to a close, we offer reflections on the broader societal implications of this recent technological leap and provide signposts pointing to the directions of future research endeavors.
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