The AI landscape is witnessing a pivotal transformation akin to the introduction of the Transformer, with two contrasting views emerging regarding its development. One camp argues that AI growth has plateaued, while another highlights ongoing advancements exemplified by innovations like GPT-5.1 and Gemini 3. Ćukasz Kaiser from OpenAI asserts that AI’s evolution is not stagnating; rather, it is shifting from pre-training to reasoning models, indicating a generational change. This shift underscores the gradual progress of AI capabilities, analogous to Mooreâs Law, driven by technological iterations and improved computational power. GPT-5.1 represents more than a minor update, offering heightened reasoning abilities and user-oriented enhancements. The transition to multimodal reasoning is set to redefine AI’s future applications, making it an exciting period for tech enthusiasts. Despite challenges, advancements in reinforcement learning and context-based reasoning signal a robust trajectory for AI innovation, promising continued growth and improved user experiences.
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