GPT-4 — Sparks of AGI, capabilities, and limitations
Microsft research released a 154 paged paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4”, which explores the capabilities of GPT-4, an early version of OpenAI’s large language model (LLM), which exhibits more general intelligence than previous AI models (GPT-3 and ChatGPT) and can solve novel and complex tasks spanning multiple domains without any special prompting. This article covers key findings (to a major extent) of the paper that covers the advanced capabilities, implications, and limitations of GPT-4 and the challenges ahead for advancing toward deeper and more comprehensive versions of artificial general intelligence (AGI).
Note: The authors have repeatedly emphasized in the paper that the model they tested was an early version of GPT-4 that only accepted text inputs. The experiences in the final version may differ. For instance, there are more safety controls and measures to reduce biases. Nevertheless, the capabilities and limitations discussed in the paper provide a strong foundation for future explorations as the model keeps getting better.
While there is no broadly accepted definition of Artificial General Intelligence or Intelligence, the authors used the 1994 definition of intelligence to test GPT-4, inkling a starting point for investigating the model's performance. According…
