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Caihao Cui

Caihao Cui

Knowledge Grounds Action; Learning Nurtures Virtue.

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A vibrant, intricate network of gears and planned pathways representing research investment and infrastructure, contrasted with a single, brightly illuminated, unpredictable lightning bolt striking in an unexpected direction, symbolizing an original scientific breakthrough that cannot be scheduled or pre-planned. The background subtly suggests a vast, yet partially obscured, landscape of long-term exploration.

Scientific Research: Investment Can Be Planned, But Breakthroughs Cannot Be Scheduled — A Discussion Inspired by Two Fields Medals

30 August 2026·4029 words·9 mins

Visualizing the spectrum of AI model openness, from fully open source code to proprietary cloud APIs, with elements representing data, weights, and commercial restrictions.

Unpacking AI Model Open Source: What's Truly 'Open'? A Full Panorama from Open Weights, Business Closed Loops, to Enterprise Adoption

30 August 2026·5267 words·25 mins

A visual metaphor depicting the complex interplay between real-world disputes and online amplification. One side shows a dimly lit street scene with blurred figures in a heated argument, hinting at the initial offline conflict. The other side visually erupts into a vibrant, chaotic digital space filled with swirling data, polarized male and female symbols clashing, and comment bubbles, representing how online platforms and traffic incentives transform social tensions into amplified gender antagonism. A subtle connection, perhaps a digital thread or a magnifying glass, links the two scenes, emphasizing the shift from reality to content.

When Social Conflict Becomes a Recommendation Signal: Why Recommendation Algorithms Cannot Stay Neutral

30 August 2026·5042 words·11 mins

In a dark conceptual illustration, a robotic hand and a human hand operate controls linked to a gear system traversed by teal and amber paths.

Do Enterprises Really Need AI Agents? When to Let Models Decide the Next Step

29 August 2026·Updated: 30 August 2026·8821 words·18 mins

An abstract visual metaphor in which important structures are highlighted and reconnected within a vast network of data and parameters, representing how mathematics and algorithms reformulate problems so that large-scale AI systems can continue to train, adapt, and operate.

How AI Foundation Models Address Scaling Bottlenecks: Mathematical Structures, Algorithm Design, and Systems Engineering

25 August 2026·6165 words·29 mins