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AI isn’t just evolving, it’s taking over how we think — here’s my take on ChatGPT’s big upgrade, Google's plan to make AI invisible, DeepSeek’s return and more
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AI isn’t just evolving, it’s taking over how we think — here’s my take on ChatGPT’s big upgrade, Google's plan to make AI invisible, DeepSeek’s return and more

This week, AI is all about "super" apps, invisible apps and a geopolitical AI race

AI Tools & Products · 10 min ·
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Founding Engineer (Full-Stack / AI) – Build the Future of Personalized Healthcare (San Francisco, In-Person)

Hi everyone Galen AI is an early-stage, YC-backed healthtech startup building a personal AI doctor by combining clinical data, wearable d...

Reddit - ML Jobs · 1 min ·
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Looking for Job Opportunities — Senior MLOps / LLMOps Engineer (Remote / Visa Sponsorship)

Hi Everyone 👋 I’m a Senior MLOps / LLMOps Engineer with ~5 years of experience building and operating production-scale ML & LLM platf...

Reddit - ML Jobs · 1 min ·

All Content

[2603.05120] Bidirectional Curriculum Generation: A Multi-Agent Framework for Data-Efficient Mathematical Reasoning
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[2603.05120] Bidirectional Curriculum Generation: A Multi-Agent Framework for Data-Efficient Mathematical Reasoning

Abstract page for arXiv paper 2603.05120: Bidirectional Curriculum Generation: A Multi-Agent Framework for Data-Efficient Mathematical Re...

arXiv - AI · 3 min ·
[2603.05044] WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents
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[2603.05044] WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

Abstract page for arXiv paper 2603.05044: WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

arXiv - AI · 4 min ·
[2603.05040] Enhancing Zero-shot Commonsense Reasoning by Integrating Visual Knowledge via Machine Imagination
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[2603.05040] Enhancing Zero-shot Commonsense Reasoning by Integrating Visual Knowledge via Machine Imagination

Abstract page for arXiv paper 2603.05040: Enhancing Zero-shot Commonsense Reasoning by Integrating Visual Knowledge via Machine Imagination

arXiv - AI · 3 min ·
[2603.05028] Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure
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[2603.05028] Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure

Abstract page for arXiv paper 2603.05028: Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure

arXiv - AI · 4 min ·
[2603.05016] BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human Decision-Making in Computational Psychiatry
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[2603.05016] BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human Decision-Making in Computational Psychiatry

Abstract page for arXiv paper 2603.05016: BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human ...

arXiv - AI · 3 min ·
[2603.04951] Retrieval-Augmented Generation with Covariate Time Series
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[2603.04951] Retrieval-Augmented Generation with Covariate Time Series

Abstract page for arXiv paper 2603.04951: Retrieval-Augmented Generation with Covariate Time Series

arXiv - AI · 4 min ·
[2603.04904] Alignment Backfire: Language-Dependent Reversal of Safety Interventions Across 16 Languages in LLM Multi-Agent Systems
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[2603.04904] Alignment Backfire: Language-Dependent Reversal of Safety Interventions Across 16 Languages in LLM Multi-Agent Systems

Abstract page for arXiv paper 2603.04904: Alignment Backfire: Language-Dependent Reversal of Safety Interventions Across 16 Languages in ...

arXiv - AI · 4 min ·
[2603.04900] EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
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[2603.04900] EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection

Abstract page for arXiv paper 2603.04900: EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and ...

arXiv - AI · 4 min ·
[2603.04896] Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs
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[2603.04896] Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs

Abstract page for arXiv paper 2603.04896: Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection...

arXiv - AI · 3 min ·
[2603.04894] Differentially Private Multimodal In-Context Learning
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[2603.04894] Differentially Private Multimodal In-Context Learning

Abstract page for arXiv paper 2603.04894: Differentially Private Multimodal In-Context Learning

arXiv - AI · 3 min ·
[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation
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[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Abstract page for arXiv paper 2603.04868: K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory ...

arXiv - AI · 3 min ·
[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
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[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models

Abstract page for arXiv paper 2603.04837: Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Languag...

arXiv - AI · 4 min ·
[2603.04822] VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment
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[2603.04822] VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment

Abstract page for arXiv paper 2603.04822: VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment

arXiv - AI · 4 min ·
[2603.04818] LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks
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[2603.04818] LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

Abstract page for arXiv paper 2603.04818: LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

arXiv - AI · 4 min ·
[2603.04791] Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
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[2603.04791] Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Abstract page for arXiv paper 2603.04791: Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

arXiv - AI · 4 min ·
[2603.04783] Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
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[2603.04783] Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction

Abstract page for arXiv paper 2603.04783: Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-T...

arXiv - AI · 4 min ·
[2603.04751] Evaluating the Search Agent in a Parallel World
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[2603.04751] Evaluating the Search Agent in a Parallel World

Abstract page for arXiv paper 2603.04751: Evaluating the Search Agent in a Parallel World

arXiv - AI · 4 min ·
[2603.04750] HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
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[2603.04750] HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

Abstract page for arXiv paper 2603.04750: HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

arXiv - AI · 3 min ·
[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics
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[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

Abstract page for arXiv paper 2603.04741: CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

arXiv - Machine Learning · 3 min ·
[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery
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[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

Abstract page for arXiv paper 2603.04735: Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

arXiv - AI · 4 min ·
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