📑 Table of Contents
📊 Token usage: estimated from retrieval and writing scale.
Covers the latest AI research, open source and industry moves, updated daily.
Editor’s Note
OpenAI released its first self-developed inference chip, Jalapeño, fabbed by Broadcom with far better efficiency than existing solutions; Qualcomm acquired Modular for $3.92B, challenging Nvidia’s CUDA monopoly. On the paper side: TransPrune’s 60% inference speedup, DeepSeek V4’s 92% linear scaling on Ascend, and CXMT’s 3D-stacked HBM.
1. Latest arXiv Papers
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Emergent Topic Detection LLM for Service Feedback, Improving Public Service Fairness — https://arxiv.org/abs/2606.26595
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TransPrune: Tracking Visual Token Evolution for Lossless Compression with 60% Inference Speedup (CVPR 2026) — https://arxiv.org/abs/2507.20630
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ICML 2026 Position Paper: Universal Aesthetic Alignment Is Narrowing the Expressive Diversity of AI-Generated Art — https://arxiv.org/abs/2512.11883
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DeepSeek V4 Completes Thousand-Card Training on Ascend — 92% Linear Speedup
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CXMT SPHBM4 Technical Paper: 3D-Stacked HBM with 80% Higher Bandwidth, 50% Better Efficiency
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A Safety Framework for Multi-Agent Collaboration — 99.7% Attack Interception
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Edge Federated Learning Optimization: Data Stays Local with <2% Accuracy Loss
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Zero-Shot Sim-to-Real Transfer for Embodied AI — 35% Higher Transfer Success
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