GPT-3 is a probabilistic language model developed by Open.ai, trained on uncategorized internet text to produce human-like text. It has a massive capacity of around 170 billion parameters, making it significantly larger than its predecessors. GPT-3 can be used as a plug-and-play tool for common tasks like sentiment analysis and code generation, but requires fine-tuning for more specialized use cases. The model is being released with beta-only access to mitigate ethical concerns about bias and potential misuse. Despite its impressive capabilities, GPT-3 still struggles with common sense and simple math, and has room for improvement in addressing bias. Its release marks an important milestone in natural language processing, but not a revolutionary paradigm shift.