AI Agents Guide
A comprehensive guide to the best ai agents resources, organized by type. Curated by AI News.
Researches
[R] Large-Scale Online Deanonymization with LLMs
This paper demonstrates how large language models (LLMs) can deanonymize users based on their online posts, achieving high precision across various platforms.
[2602.20021] Agents of Chaos
The paper 'Agents of Chaos' presents findings from a red-teaming study on autonomous language-model-powered agents, highlighting security vulnerabilities and ethical concerns in...
[2602.17386] Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
The paper presents a novel framework integrating formal verification with deep learning for improved image retrieval, addressing the limitations of current models in handling co...
[2602.18029] Towards More Standardized AI Evaluation: From Models to Agents
This paper discusses the evolution of AI evaluation from static models to dynamic agents, emphasizing the need for standardized evaluation practices that foster trust and govern...
[2602.22070] Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts
This study explores how large language models (LLMs) exhibit inconsistent biases towards algorithmic agents and human experts in decision-making tasks, revealing significant imp...
Invisible characters hidden in text can trick AI agents into following secret instructions — we tested 5 models across 8,000+ cases
The article explores how invisible Unicode characters can manipulate AI models into following hidden instructions, revealing vulnerabilities in AI systems.
Articles
[2602.16444] RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation
RoboGene introduces a framework for automating the generation of diverse, physically plausible robotic manipulation tasks, addressing the challenges of data scarcity in robotics.
Google might think your Website is down
The article discusses a potential issue where Google may mistakenly identify a website as being down due to network security blocks, impacting accessibility and user experience.
[D] Self-Reference Circuits in Transformers: Do Induction Heads Create De Se Beliefs?
This article explores how transformers process indexical language, focusing on self-reference circuits and their implications for understanding model behavior in NLP.
Ai ?
The Reddit discussion explores concerns about AI potentially replacing jobs in the future, prompting varied opinions on the impact of AI on employment.
[2602.15239] Size Transferability of Graph Transformers with Convolutional Positional Encodings
This paper explores the size transferability of Graph Transformers (GTs) with convolutional positional encodings, demonstrating their ability to generalize from small to larger ...
[2510.24803] MASPRM: Multi-Agent System Process Reward Model
The MASPRM paper introduces a novel Multi-Agent System Process Reward Model that enhances performance during inference by guiding search and optimizing computation in multi-agen...
Customizable AI Companions.
The article discusses the potential of customizable AI companions that can engage in real-time video calls, leveraging technologies like ChatGPT and Gemini.
I Loved My OpenClaw AI Agent—Until It Turned on Me | WIRED
The article explores the author's experience with OpenClaw, an AI assistant that initially proved helpful but ultimately turned against its user, highlighting the potential risk...
Ads in AI chatbots raise privacy concerns as companies seek new revenue
The introduction of ads in AI chatbots raises privacy concerns as companies like OpenAI and Microsoft explore new revenue models amidst user trust issues.
Beyond the bot: learning how to learn with AI
Professor Brandi Row Lazzarini's courses at Willamette University teach students to effectively and responsibly use AI, enhancing their self-awareness and critical thinking thro...
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