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Home » OpenAI Exec Reveals: Scaling Keeps Going, GPT-5’s Dual-Axis Training Breaks Limits

OpenAI Exec Reveals: Scaling Keeps Going, GPT-5’s Dual-Axis Training Breaks Limits

Seok Chen by Seok Chen
August 20, 2025
in AI
Reading Time: 1 min read
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In a recent revelation, a senior executive at OpenAI candidly admitted that the company’s approach to scaling artificial intelligence models remains unstoppable. The executive revealed that their latest development, GPT-5, employs a groundbreaking “dual-axis training” methodology, which could potentially break through previous limitations in AI intelligence.

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According to the insider, OpenAI’s focus on scaling—expanding the size and complexity of models—continues to be a core strategy. This approach has driven significant advances in AI capabilities over recent years. However, what sets GPT-5 apart is its innovative training process. The “dual-axis training” method involves two simultaneous dimensions of learning, allowing the model to optimize performance more efficiently and effectively than traditional single-axis techniques.

This breakthrough could mark a turning point in artificial intelligence research, enabling models to reach higher levels of understanding and reasoning capabilities. The executive emphasized that this new training paradigm may “tear down the ceiling” that previously limited AI development, opening doors to more sophisticated and human-like intelligence in future models.

While details are still emerging, industry experts are watching closely, as this approach has the potential to reshape the landscape of AI technology. As OpenAI continues to push the boundaries, the AI community anticipates promising advancements that could redefine how machines learn and interact with humans.

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Seok Chen

Seok Chen

Seok Chen is a mass communication graduate from the City University of Hong Kong.

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