Although details about GPT-5 remain sparse, we can infer several potential advancements based on current trends and insights from industry leaders.

Parameter Size: GPT-4’s parameter count is estimated to be around 1.5 trillion. If this trajectory continues, GPT-5 could significantly expand this figure, enhancing its capacity to generate even more accurate and contextually relevant responses.

Multimodality: Building on GPT-4’s ability to handle text and images, GPT-5 is expected to incorporate video processing. This would allow users to interact with AI in more dynamic ways, such as analyzing video content or generating video-based responses.

From Chatbot to Autonomous Agent: OpenAI’s focus may shift towards creating fully autonomous agents capable of performing tasks without direct human oversight. Imagine assigning routine tasks, like scheduling appointments or managing emails, to a GPT-powered assistant that learns and adapts to your preferences over time.

Enhanced Accuracy and Factuality: GPT-5 will likely continue to improve upon the accuracy of its predecessors, reducing instances of “hallucinations” (incorrect or nonsensical outputs). This is particularly crucial for applications in fields like medicine, education, and law, where reliability is paramount.

Expanded Context Windows: One limitation of current models is their context window—the amount of information they can consider at once. GPT-5 is expected to handle larger context windows, allowing it to maintain coherence over extended interactions or documents.

Cost-Effective Access: As newer models emerge, the cost of using older models like GPT-4 is expected to decrease. This democratization of AI could spur innovation, enabling more developers and organizations to harness advanced AI capabilities.