62 lines
2.2 KiB
Markdown
62 lines
2.2 KiB
Markdown
# AI Daily Brief - 2026-03-05
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> Collected at: 3/5/2026, 11:01:12 PM
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> Total items: 89
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## 🔥 Top 10 Highlights
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1. Heterogeneous Agent Collaborative Reinforcement Learning
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https://huggingface.co/papers/2603.02604
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2. Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
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https://huggingface.co/papers/2603.03447
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3. Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
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https://huggingface.co/papers/2603.01375
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4. LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models
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https://huggingface.co/papers/2603.01563
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5. Humans and LLMs Diverge on Probabilistic Inferences
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https://huggingface.co/papers/2602.23546
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6. login?return_to=%2FTheCraigHewitt%2Fseomachine
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https://github.com/login?return_to=%2FTheCraigHewitt%2Fseomachine
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7. login?return_to=%2FinclusionAI%2FAReaL
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https://github.com/login?return_to=%2FinclusionAI%2FAReaL
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8. login?return_to=%2Fmicrosoft%2Fmcp-for-beginners
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https://github.com/login?return_to=%2Fmicrosoft%2Fmcp-for-beginners
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9. login?return_to=%2Fmicrosoft%2Fhve-core
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https://github.com/login?return_to=%2Fmicrosoft%2Fhve-core
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10. Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
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http://arxiv.org/abs/2603.04378v1
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## 📂 Categories
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### AI Coding Tools / Code Agent
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- Code Fingerprints: Disentangled Attribution of LLM-Generated Code
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http://arxiv.org/abs/2603.04212v1
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### AI Infrastructure / Inference Optimization
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- Low-Resource Guidance for Controllable Latent Audio Diffusion
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http://arxiv.org/abs/2603.04366v1
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- Dissecting Quantization Error: A Concentration-Alignment Perspective
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http://arxiv.org/abs/2603.04359v1
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- Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deployment Tradeoffs
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http://arxiv.org/abs/2603.04308v1
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- Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback
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http://arxiv.org/abs/2603.04247v1
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- $V_1$: Unifying Generation and Self-Verification for Parallel Reasoners
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http://arxiv.org/abs/2603.04304v1
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- Bielik-Q2-Sharp: A Comparative Study of Extreme 2-bit Quantization Methods for a Polish 11B Language Model
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http://arxiv.org/abs/2603.04162v1
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---
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*Generated by AINewsCollector*
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