OpenAI CEO reveals GPT-6 development progress: personalization and memory functions become core breakthroughs

OpenAI CEO reveals GPT-6 development progress: personalization and memory functions become core breakthroughs


Last week, OpenAI CEO Sam Altman unveiled the company's future product plans to the media in San Francisco. Although GPT-5 had just been released, Altman explicitly stated that development of the next-generation model, GPT-6, had been accelerated, with significantly shorter iteration cycles. This news quickly sparked industry debate about the pace of AI technology evolution.

Altman emphasized that GPT-6's core upgrade will focus on personalized experience. Through its memory function, the model will not only respond to user commands but also learn individual preferences and behavioral habits, even allowing users to customize their own chatbots. He admitted, "People crave understanding, and that's exactly what we're working towards." To achieve this goal, OpenAI has partnered with psychologists to analyze user emotional responses to optimize the product experience, and the relevant data may be made public in the future.

Notably, Altman specifically mentioned that the new model will comply with the US government's requirements for neutrality in AI systems, allowing users to adjust output tendencies based on their needs. However, the controversy surrounding GPT-5's initial release, which was perceived as "indifferent," continued to linger. Altman acknowledged mistakes but revealed that updates have improved the tone of interaction.

Regarding privacy and security, Altman acknowledged the current issue of unencrypted temporary memories and pledged to strengthen protections in the future, particularly in sensitive areas like medicine and law. He also expressed a keen interest in brain-computer interface technology, envisioning a future where users could interact directly with AI through their thoughts. While ChatGPT remains the core product, Altman acknowledged that the chat function is approaching a performance bottleneck and may shift to other innovative directions in the future.

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