Daily Research Brief 2026-06-23

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

Editor’s Note

OpenAI launched GPT-5.5-Cyber and the ‘Patch the Planet’ initiative; Anthropic’s ‘AI-driven AI’ recursive self-evolution strategy was exposed, compounding R&D efficiency. On the paper side: STARE fixes policy entropy collapse, Self-Harness lets agents modify their own runtime rules, and He Kaiming’s MiniT2I removes the VAE for 4x compute efficiency.

1. Latest arXiv Papers

1. OpenAI Milestone: LLM Alignment Is Essentially a ‘Personality’ Trait, Not Rules — https://arxiv.org/abs/2606.19236

2. Tsinghua & Tencent STARE: Solving the Policy-Entropy-Collapse Problem in RL — https://arxiv.org/abs/2606.22418

3. Shanghai AI Lab Self-Harness: AI Modifies Its Own Runtime Rules — up to 60% Better Performance — https://arxiv.org/abs/2606.17682

4. HKUST & Cambridge LLM-as-Environment-Engineer: 4B Model Surpasses GPT-5.4 — https://arxiv.org/abs/2605.14906

5. MemLens: First Multimodal Long-Term Memory Benchmark, Filling the Visual Memory Gap — https://arxiv.org/abs/2606.22097

6. Moebius: HUST’s 0.2B Image Inpainting Model Reaching 10B-Level Performance — https://arxiv.org/abs/2606.22314

7. He Kaiming Team MiniT2I: Removing VAE to Generate Images in Pixel Space — 4x Compute Efficiency — https://arxiv.org/abs/2606.22171

8. Multimodal Spatio-Temporal Reasoning Improves Epidemic Prediction by 27% — KDD 2026