64 lines
2.3 KiB
Markdown
64 lines
2.3 KiB
Markdown
# AI Daily Brief - 2026-03-06
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> Collected at: 3/6/2026, 11:00:51 PM
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> Total items: 101
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## 🔥 Top 10 Highlights
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1. login?return_to=%2FQwenLM%2FQwen-Agent
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https://github.com/login?return_to=%2FQwenLM%2FQwen-Agent
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2. Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
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http://arxiv.org/abs/2603.05210v1
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3. MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models
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https://huggingface.co/papers/2603.04800
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4. SageBwd: A Trainable Low-bit Attention
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https://huggingface.co/papers/2603.02170
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5. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
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https://huggingface.co/papers/2603.03756
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6. V_1: Unifying Generation and Self-Verification for Parallel Reasoners
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https://huggingface.co/papers/2603.04304
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7. login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
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https://github.com/login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
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8. login?return_to=%2Fopenai%2Fskills
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https://github.com/login?return_to=%2Fopenai%2Fskills
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9. sponsors/aidenybai
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https://github.com/sponsors/aidenybai
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10. Dissociating Direct Access from Inference in AI Introspection
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http://arxiv.org/abs/2603.05414v1
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## 📂 Categories
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### AI Coding Tools / Code Agent
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- Building AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
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http://arxiv.org/abs/2603.05344v1
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### AI Infrastructure / Inference Optimization
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- DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
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http://arxiv.org/abs/2603.05357v1
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- Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
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http://arxiv.org/abs/2603.05168v1
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- Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
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http://arxiv.org/abs/2603.05495v1
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- Harnessing Synthetic Data from Generative AI for Statistical Inference
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http://arxiv.org/abs/2603.05396v1
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- InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
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http://arxiv.org/abs/2603.05353v1
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- Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
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http://arxiv.org/abs/2603.05343v1
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- Bayes with No Shame: Admissibility Geometries of Predictive Inference
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http://arxiv.org/abs/2603.05335v1
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---
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*Generated by AINewsCollector*
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