AI research preference model

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According to a report by Rare Earth掘Kin on September 7, 2026, the field of artificial intelligence is gradually shifting towards preference for specific model architectures. Current trends indicate that researchers prefer new models with efficient reasoning capabilities and low energy consumption. This shift aims to address the contradiction between growing computational demands and resource limitations.

Related eventsRELATED EVENTS

2026-09-07 21:02The `GPT-6 Astra model was released, and OpenAI President Brockman confidently declared, “Welcome to the era of AGI.”
2026-09-08 19:21OpenAI released GPT-6 Astra, marking the arrival of the AGI era, with capabilities for autonomous computer operation and scientific research.
2026-09-08 22:40① Nvidia CEO Jensen Huang posted that OpenAI’s GPT-6 Astra, released last week, was trained using approximately 100,000 NV Link 72 clusters, and he believes that General Artificial Intelligence (AGI) has officially arrived; ② GPT-6 Astra can directly operate computers and software to perform complex tasks such as programming, reaching the most advanced level in multiple fields. OpenAI has announced the beginning of the AGI era.

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稀稀土掘金 zh 2026-09-07 23:31

In the practice of Agentic AI in 2026, research preference models are becoming a new orchestration primitive. This model aims to optimize the collaboration process of agents by clearly defining task objectives, constraints, and evaluation criteria, addressing the issue of lack of unified decision-making logic in traditional automation systems. Currently, several technical teams have integrated this mechanism into core workflows to enhance the stability and interpretability of complex tasks. In the future, with the improvement of the data feedback loop, research preference models will further evolve into a key interface connecting underlying algorithms with upper-layer applications, driving Agentic AI toward transformation from single-functional modules to autonomous collaborative systems.