Daily Research Brief 2026-07-04

📊 Token usage: estimated from retrieval and writing scale.

Covers the latest AI research, open source and industry moves, updated daily.

Editor’s Note

The AI compute arms race hits an inflection point — head players shift from pouring in capex to chasing returns, and domestic AI chip share crossed 52% for the first time, entering a dominant cycle. On the paper side: generative reward models with dynamic routing, AI-discovered superconductors, world models for robots, and physics-aware evaluation of generated content.

1. Latest arXiv Papers

1. E-GRM: Dynamic Routing of Generative Reward Models with On-Demand Compute Allocation — https://arxiv.org/abs/2604.10072

2. Agents-A1: A 35B-Parameter Agent Model Rivaling Trillion-Parameter Models — https://arxiv.org/abs/2606.30616

3. ElementsClaw: AI Discovers New Superconducting Materials

4. A2World: A World Model for Robots to Rehearse the Future — https://arxiv.org/abs/2606.29501

5. ManCAR: Manifold-Constrained Reasoning Improves Recommendation Ranking by 46.88%

6. HiAR: Making AI-Generated Infinite-Length Video Stop Degrading — https://arxiv.org/abs/2603.08703

7. InnerZoom: Solving AI’s ‘See but Can’t Click’ GUI Operation Problem — https://arxiv.org/abs/2606.30084

8. TailOR: Evaluating Whether AI-Generated Content Understands Physics — https://arxiv.org/abs/2606.24256