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A single AI is like an oracle: you can only choose to accept it or not; but when two AIs from different sources with different value orientations give different answers to the same question, you have to start judging — which answer is better? Better in what way? Why?
That shift itself is AI literacy.
Photosynthesis rate is mainly constrained by three external factors: light intensity, carbon dioxide concentration and temperature; when any one factor is insufficient, it becomes the limiting factor⋯⋯
These can be divided into two categories: the environment and the plant itself. Environmental factors include light intensity, CO₂ and water availability; the plant itself includes chlorophyll content and stomatal opening and closing⋯⋯
Illustrative battle · simulated content
The Arena's model line-up is divided into four categories according to "development philosophy". They are not merely different in capability; they also represent different answers to "who should build AI, and whom should it serve?"
A frontier model trained with substantial investment from commercial companies; powerful, but its model weights and training data are not public.
The academic team fine-tunes open-weight models for Traditional Chinese and local contexts; anyone can download and inspect them.
Trained with national resources, with the goal of ensuring that key language technologies are not controlled by technology companies from other countries.
From training data, code and weights to full public release, taking reproducibility as the first principle of AI development.