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Agentic AI capabilities to be integrated into defense platforms by BAE Systems, Scale AI
Ai Agents

Agentic AI capabilities to be integrated into defense platforms by BAE Systems, Scale AI

FALLS CHURCH, Virginia. BAE Systems and Scale AI have signed a strategic relationship agreement to speed the development and fielding of ...

AI News - General · 3 min ·
Llms

I cut Claude Code's token usage by 68.5% by giving agents their own OS

Al agents are running on infrastructure built for humans. Every state check runs 9 shell commands. Every cold start re-discovers context ...

Reddit - Artificial Intelligence · 1 min ·
Ai Agents

AMD introduces GAIA agent UI for privacy-first web app for local AI agents

submitted by /u/Fcking_Chuck [link] [comments]

Reddit - Artificial Intelligence · 1 min ·

All Content

[2512.12594] ceLLMate: Sandboxing Browser AI Agents
Llms

[2512.12594] ceLLMate: Sandboxing Browser AI Agents

Abstract page for arXiv paper 2512.12594: ceLLMate: Sandboxing Browser AI Agents

arXiv - Machine Learning · 3 min ·
[2512.11781] Agile Flight Emerges from Multi-Agent Competitive Racing
Machine Learning

[2512.11781] Agile Flight Emerges from Multi-Agent Competitive Racing

Abstract page for arXiv paper 2512.11781: Agile Flight Emerges from Multi-Agent Competitive Racing

arXiv - AI · 4 min ·
[2510.24702] Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
Llms

[2510.24702] Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents

Abstract page for arXiv paper 2510.24702: Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents

arXiv - AI · 4 min ·
[2509.25541] Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Llms

[2509.25541] Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Abstract page for arXiv paper 2509.25541: Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

arXiv - AI · 4 min ·
[2509.13471] An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
Llms

[2509.13471] An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software

Abstract page for arXiv paper 2509.13471: An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software

arXiv - AI · 4 min ·
[2511.01343] CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Continuum
Machine Learning

[2511.01343] CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Continuum

Abstract page for arXiv paper 2511.01343: CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Con...

arXiv - Machine Learning · 4 min ·
[2602.09937] Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?
Llms

[2602.09937] Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?

Abstract page for arXiv paper 2602.09937: Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?

arXiv - AI · 4 min ·
[2601.16529] SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care
Llms

[2601.16529] SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care

Abstract page for arXiv paper 2601.16529: SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters fo...

arXiv - AI · 3 min ·
[2505.02888] When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger
Llms

[2505.02888] When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

Abstract page for arXiv paper 2505.02888: When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

arXiv - AI · 3 min ·
[2507.15796] From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
Llms

[2507.15796] From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0

Abstract page for arXiv paper 2507.15796: From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Lea...

arXiv - AI · 4 min ·
[2507.15518] HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
Llms

[2507.15518] HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics

Abstract page for arXiv paper 2507.15518: HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics

arXiv - AI · 4 min ·
[2603.04293] LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance
Llms

[2603.04293] LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance

Abstract page for arXiv paper 2603.04293: LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance

arXiv - AI · 3 min ·
[2603.03664] Principled Learning-to-Communicate with Quasi-Classical Information Structures
Ai Agents

[2603.03664] Principled Learning-to-Communicate with Quasi-Classical Information Structures

Abstract page for arXiv paper 2603.03664: Principled Learning-to-Communicate with Quasi-Classical Information Structures

arXiv - Machine Learning · 4 min ·
[2603.03589] stratum: A System Infrastructure for Massive Agent-Centric ML Workloads
Llms

[2603.03589] stratum: A System Infrastructure for Massive Agent-Centric ML Workloads

Abstract page for arXiv paper 2603.03589: stratum: A System Infrastructure for Massive Agent-Centric ML Workloads

arXiv - Machine Learning · 4 min ·
[2603.03977] Right in Time: Reactive Reasoning in Regulated Traffic Spaces
Machine Learning

[2603.03977] Right in Time: Reactive Reasoning in Regulated Traffic Spaces

Abstract page for arXiv paper 2603.03977: Right in Time: Reactive Reasoning in Regulated Traffic Spaces

arXiv - AI · 4 min ·
[2603.04378] Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
Llms

[2603.04378] Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization

Abstract page for arXiv paper 2603.04378: Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization

arXiv - AI · 3 min ·
[2603.03780] MACC: Multi-Agent Collaborative Competition for Scientific Exploration
Ai Agents

[2603.03780] MACC: Multi-Agent Collaborative Competition for Scientific Exploration

Abstract page for arXiv paper 2603.03780: MACC: Multi-Agent Collaborative Competition for Scientific Exploration

arXiv - AI · 3 min ·
[2603.03772] Towards Effective Orchestration of AI x DB Workloads
Machine Learning

[2603.03772] Towards Effective Orchestration of AI x DB Workloads

Abstract page for arXiv paper 2603.03772: Towards Effective Orchestration of AI x DB Workloads

arXiv - AI · 3 min ·
[2603.03768] Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport
Robotics

[2603.03768] Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport

Abstract page for arXiv paper 2603.03768: Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport

arXiv - AI · 4 min ·
[2603.03759] Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
Ai Agents

[2603.03759] Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling

Abstract page for arXiv paper 2603.03759: Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean...

arXiv - Machine Learning · 3 min ·
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Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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