Tootfinder

Google rolls out AI Mode to 180 countries and territories in English, after testing in the US, UK, and India, and plans to add more languages and regions "soon" (Abner Li/9to5Google)
https://9to5google.com/2025/08/21/google-ai-mode-countries-agentic/

Google AI Mode expanding to 180 countries, getting agentic restaurant finder, more
Google is now bringing AI Mode to many more countries around the world, while AI Ultra subscribers will get to use an agentic capability.

Guard [.] io says a new era of scam complexity is on the way because AI-powered browsers can interact with phishing pages and malicious prompts without human detection.
https://guard.io/labs/scamlexity-we-put-agentic-ai-browsers-to-t…

"Scamlexity": When Agentic AI Browsers Get Scammed
We Put Agentic AI Browsers to the Test - They Clicked, They Paid, They Failed

"AI Generated Algorithmic Virality"
https://aiforensics.org/work/gen-ai-slop
A recent report by
@…
🔹 "25% of…

AI Generated Algorithmic Virality
This investigation systematically analyzes AI-generated content across TikTok and Instagram in three European countries. We found that 25% of TikTok's top search results contain synthetic AI imagery, with over 80% produced by "Agentic AI Accounts." Despite platforms' DSA commitments, only half of AI content receives proper labeling, creating significant risks for users.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- CRISPR-GPT for Agentic Automation of Gene-editing Experiments
Qu, Huang, Yin, Zhan, Liu, Yin, Cousins, Johnson, Wang, Shah, Altman, Zhou, Wang, Cong

So, @… is working on using LLMs to process XML Except for, the models can’t write legal XML. So he’s using the model to generate a sloppy-XML parser: https://lucumr.pocoo.org/202…

My First Open Source AI Generated Library
In a first for me, I published some agentic programmed AI slop to PyPI.

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
Lixiang Yan
https://arxiv.org/abs/2508.14825 https://

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
The role of Artificial Intelligence (AI) in education is undergoing a rapid transformation, moving beyond its historical function as an instructional tool towards a new potential as an active participant in the learning process. This shift is driven by the emergence of agentic AI, autonomous systems capable of proactive, goal-directed action. However, the field lacks a robust conceptual framework to understand, design, and evaluate this new paradigm of human-AI interaction in learning. This pap…

ServiceNow reports Q2 revenue up 22.5% YoY to $3.22B, vs. $3.12B est., and net income up 47% YoY to $385M, fueled by AI growth; NOW jumps 7% after hours (Samantha Subin/CNBC)
https://www.cnbc.com/2025/07/23/servicenow-now-q2-earnings-2025.html

ServiceNow lifts guidance on AI growth
"Every business process in every industry is being refactored for agentic AI," said ServiceNow chair and CEO Bill McDermott in a release.

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa
Graham Hill, JingYuan Gong, Thulani Babeli, Moseli Mots'oehli, James Gachomo Wanjiku
https://arxiv.org/abs/2508.15110

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa
In this work, we highlight the transformative potential of Artificial Intelligence (AI), particularly Large Language Models (LLMs) and agentic AI, in the insurance sector. We consider and emphasize the unique opportunities, challenges, and potential pathways in insurance amid rapid performance improvements, increased open-source access, decreasing deployment costs, and the complexity of LLM or agentic AI frameworks. To bring it closer to home, we identify critical gaps in the African insurance …

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
Xiaozheng Gao, Yichen Wang, Bosen Liu, Xiao Zhou, Ruichen Zhang, Jiacheng Wang, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Chau Yuen, Jianping An, Kai Yang
https://arxiv.org/abs/2507.14633…

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
The development of satellite-augmented low-altitude economy and terrestrial networks (SLAETNs) demands intelligent and autonomous systems that can operate reliably across heterogeneous, dynamic, and mission-critical environments. To address these challenges, this survey focuses on enabling agentic artificial intelligence (AI), that is, artificial agents capable of perceiving, reasoning, and acting, through generative AI (GAI) and large language models (LLMs). We begin by introducing the archite…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
Choi, Kwon, Lopez-Lira, Kim, Kim, Hwang, Ha, Choi, Yun, Kim, Lee

RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems
Daniele Corradetti, Jos\'e Delgado Rodrigues
https://arxiv.org/abs/2508.13872 https…

RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems
The Id-Pattern system within the RED.AI project (Reabilitação Estrutural Digital através da AI) consists of an agentic system designed to assist in the identification of stone deterioration patterns. Traditional methodologies, based on direct observation by expert teams, are accurate but costly in terms of time and resources. The system developed here introduces and evaluates a multi-agent artificial intelligence (AI) system, designed to simulate collaboration between experts and automate th…

Agentic AI promises a swift revolution for cybersecurity defenders, with one expert calling it a "Cambrian explosion" and another likening it to "the fastest train ever made."
But it's a technology still in its infancy, and other experts caution CISOs to take it slow until the kinks can be worked out.
Check out my latest CSO piece on agentic AI for more details. Thanks to Jimmy Mesta of RAD Security, Andres Riancho and Hillai Ben-Sasson of Wiz, Ben Seri of…

Agentic AI promises a cybersecurity revolution — with asterisks
Experts say agentic AI will rapidly change cybersecurity, freeing up talent to focus on more dynamic work. But with AI agents still in their infancy, they also urge CISOs to ask a lot of questions before committing to this new security paradigm.

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization
Shengchao Liu, Hannan Xu, Yan Ai, Huanxin Li, Yoshua Bengio, Harry Guo
https://arxiv.org/abs/2507.16110

Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization
Large language models (LLMs) leverage chain-of-thought (CoT) techniques to tackle complex problems, representing a transformative breakthrough in artificial intelligence (AI). However, their reasoning capabilities have primarily been demonstrated in solving math and coding problems, leaving their potential for domain-specific applications-such as battery discovery-largely unexplored. Inspired by the idea that reasoning mirrors a form of guided search, we introduce ChatBattery, a novel agentic f…

Microsoft's Maggie Liu, Thiago Rotta, Vinicius Souza, and James Tooles have prepared and shared an exhaustive guide to architectural considerations applying to agentic AI.
The central concept revolves around these two ideas:
1. Distributing workloads to many specialized agents.
2. A contextually-aware central agent to orchestrate the specialized agents.
"Designing Multi-Agent Intelligence"

AI Agentic Programming: A Survey of Techniques, Challenges, and Opportunities
Huanting Wang, Jingzhi Gong, Huawei Zhang, Zheng Wang
https://arxiv.org/abs/2508.11126 https://

AI Agentic Programming: A Survey of Techniques, Challenges, and Opportunities
AI agentic programming is an emerging paradigm in which large language models (LLMs) autonomously plan, execute, and interact with external tools like compilers, debuggers, and version control systems to iteratively perform complex software development tasks. Unlike conventional code generation tools, agentic systems are capable of decomposing high-level goals, coordinating multi-step processes, and adapting their behavior based on intermediate feedback. These capabilities are transforming the …

Architecting Human-AI Cocreation for Technical Services -- Interaction Modes and Contingency Factors
Jochen Wulf, Jurg Meierhofer, Frank Hannich
https://arxiv.org/abs/2507.14034

Architecting Human-AI Cocreation for Technical Services -- Interaction Modes and Contingency Factors
Agentic AI systems, powered by Large Language Models (LLMs), offer transformative potential for value co-creation in technical services. However, persistent challenges like hallucinations and operational brittleness limit their autonomous use, creating a critical need for robust frameworks to guide human-AI collaboration. Drawing on established Human-AI teaming research and analogies from fields like autonomous driving, this paper develops a structured taxonomy of human-agent interaction. Based…

The latest large opensource AI model from China.
Kimi-K2
#AI #china #KimiK2

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web
Zihan Guo, Yuanjian Zhou, Chenyi Wang, Linlin You, Minjie Bian, Weinan Zhang
https://arxiv.org/abs/2508.13787 https…

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web
The rapid development of large language models (LLMs) has significantly propelled the development of artificial intelligence (AI) agents, which are increasingly evolving into diverse autonomous entities, advancing the LLM-based multi-agent systems (LaMAS). However, current agentic ecosystems remain fragmented and closed. Establishing an interconnected and scalable paradigm for Agentic AI has become a critical prerequisite. Although Agentic Web proposes an open architecture to break the ecosyste…

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System
Pallavi Zambare, Venkata Nikhil Thanikella, Ying Liu
https://arxiv.org/abs/2508.10043

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System
When combining Large Language Models (LLMs) with autonomous agents, used in network monitoring and decision-making systems, this will create serious security issues. In this research, the MAESTRO framework consisting of the seven layers threat modeling architecture in the system was used to expose, evaluate, and eliminate vulnerabilities of agentic AI. The prototype agent system was constructed and implemented, using Python, LangChain, and telemetry in WebSockets, and deployed with inference, m…

Analysis – When your LLM calls the cops: Claude 4’s whistle-blow and the new agentic AI risk stack
🤖 https://venturebeat.com/ai/when-your-llm-calls-the-cops-claude-4s-whistle-blow-and-the-new-agentic-ai-risk-stack/…

When your LLM calls the cops: Claude 4’s whistle-blow and the new agentic AI risk stack
Claude 4’s “whistle-blow” surprise shows why agentic AI risk lives in prompts and tool access, not benchmarks. Learn the 6 controls every enterprise must adopt.

Despite the country's financial straits, this is a wonderful time to be a technologist in government, according to Paul Mukherjee, CTO of the UK Department for Environment, Food and Rural Affairs (Defra).
https://www.computing.co.uk/news/2025/ai/g

Government CTO: 'I had a lightbulb moment with agentic AI'
Defra’s CTO believes AI may help government thinking move from processes to outcomes, while agents could assist in complex technical tasks like cloud migrations.

DeepSeek details V3.1 and says it surpasses R1 on key benchmarks and is customized to work with next-gen Chinese-made AI chips, after unveiling it on August 19 (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-21/deep…

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Marcelle Momha
https://arxiv.org/abs/2506.13818 https://arxiv.org/pdf…

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Synthetic data, which is artificially generated and intelligently mimicking or supplementing the real-world data, is increasingly used. The proliferation of AI agents and the adoption of synthetic data create a synthetic mirror that conceptualizes a representation and potential distortion of reality, thus generating trust and accountability deficits. This paper explores the implications for privacy and policymaking stemming from synthetic data generation, and the urgent need for new policy inst…

Agentic AI as the enemy's agent.
It is a bad idea to allow an LLM access to internal data and external communication (web pages, APIs, email, …) at the same time.
#AgenticAI #DataLeak #LLM

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
https://arxiv.org/abs/2506.08045

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs
Agentic UAVs represent a new frontier in autonomous aerial intelligence, integrating perception, decision-making, memory, and collaborative planning to operate adaptively in complex, real-world environments. Driven by recent advances in Agentic AI, these systems surpass traditional UAVs by exhibiting goal-driven behavior, contextual reasoning, and interactive autonomy. We provide a comprehensive foundation for understanding the architectural components and enabling technologies that distinguish…

Emergent Cognitive Convergence via Implementation: A Structured Loop Reflecting Four Theories of Mind (A Position Paper)
Myung Ho Kim
https://arxiv.org/abs/2507.16184

Emergent Cognitive Convergence via Implementation: A Structured Loop Reflecting Four Theories of Mind (A Position Paper)
We report the discovery of a structural convergence across four influential theories of mind: Kahneman's dual-system theory, Friston's predictive processing, Minsky's society of mind, and Clark's extended mind-emerging unintentionally within a practical AI agent architecture called Agentic Flow. Designed to address limitations in large language models (LLMs), Agentic Flow comprises five interdependent modules such as Retrieval, Cognition, Control, Memory, and Action arranged in a recurrent cogn…

Claude Code, Gemini CLI, and CLI Codex, terminal-based AI tools launched since February, have surprisingly gained ground on AI code editors with traditional UIs (Russell Brandom/TechCrunch)
https://techcrunch.com/2025/07/15/ai-coding-tools-a…

AI coding tools are shifting to a surprising place: the terminal | TechCrunch
For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe-coding takes off, a subtle shift has changed how AI systems are interacting with software. Instead of working on code, they’re increasingly interacting directly with the shell of whatever system they’re installed in. It’s a significant change in how AI-powered software development happens – and despite the …

@… This comment to the video seems on spot:
It seems McKinsey aren't aware that "agentic AI" is just an LLM that can utter some magic incantations that do stuff. It's like a difference between a chimpanzee with a typewriter vs a chimpanzee with a typewriter and a gun.

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
LG AI Research, :, Kyunghoon Bae, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Choi, Kyubeen Han, Seokhee Hong, Junwon Hwang, Taewan Hwang, Joonwon Jang, Hyojin Jeon, Kijeong Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Euisoon Kim, Hyosang Kim, Jihoon Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Gwangho Lee, Ha…

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
This technical report introduces EXAONE 4.0, which integrates a Non-reasoning mode and a Reasoning mode to achieve both the excellent usability of EXAONE 3.5 and the advanced reasoning abilities of EXAONE Deep. To pave the way for the agentic AI era, EXAONE 4.0 incorporates essential features such as agentic tool use, and its multilingual capabilities are extended to support Spanish in addition to English and Korean. The EXAONE 4.0 model series consists of two sizes: a mid-size 32B model optimi…

Focus and Context and LLMs | Taras' Blog on AI, Perf, Hacks
#AI

Prompt Injection 2.0: Hybrid AI Threats
Jeremy McHugh, Kristina \v{S}ekrst, Jon Cefalu
https://arxiv.org/abs/2507.13169 https://arxiv…

Prompt Injection 2.0: Hybrid AI Threats
Prompt injection attacks, where malicious input is designed to manipulate AI systems into ignoring their original instructions and following unauthorized commands instead, were first discovered by Preamble, Inc. in May 2022 and responsibly disclosed to OpenAI. Over the last three years, these attacks have continued to pose a critical security threat to LLM-integrated systems. The emergence of agentic AI systems, where LLMs autonomously perform multistep tasks through tools and coordination with…

DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models
Saleem A. Al Dajani, Abel Sanchez, John R. Williams
https://arxiv.org/abs/2506.13817

DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models
Generative AI foundation models offer transformative potential for processing structured biological data, particularly in single-cell RNA sequencing, where datasets are rapidly scaling toward billions of cells. We propose the use of agentic foundation models with real-time web search to automate the labeling of experimental data, achieving up to 82.5% accuracy. This addresses a key bottleneck in supervised learning for structured omics data by increasing annotation throughput without manual cur…

I just saw a post saying someone let their agent AI run for 19 hours to solve a problem.
Is that the expectation?
I’m going to predict a future scandal: A global consulting firm has been caught charging human hours for agentic AI elapsed time. If I were an unscrupulous consulting firm, I could charge customers 24 hours a day at ludicrously high prices to deliver what likely would have been an ill-advised and doomed project anyway.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web
Zihan Guo, Yuanjian Zhou, Chenyi Wang, Linlin You, Minjie Bian, Weinan Zhang

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, Mikel Irazabal, Sehad Nassim, Lina Bariah, Merouane Debbah, Navid Nikaein
https://arxiv.org/abs/2508.09197

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Future 6G radio access networks (RANs) will be artificial intelligence (AI)-native: observed, reasoned about, and re-configured by autonomous agents cooperating across the cloud-edge continuum. We introduce MX-AI, the first end-to-end agentic system that (i) instruments a live 5G Open RAN testbed based on OpenAirInterface (OAI) and FlexRIC, (ii) deploys a graph of Large-Language-Model (LLM)-powered agents inside the Service Management and Orchestration (SMO) layer, and (iii) exposes both observ…

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo, Tirthankar Ghosal, Robert Ross, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2508.02866

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Foundation models, such as Large Language Models (LLMs), are increasingly used as core components of AI agents in complex, large-scale workflows across federated and heterogeneous environments. In agentic workflows, autonomous agents plan tasks, interact with humans and peers, and shape scientific outcomes. This makes transparency, traceability, reproducibility, and reliability essential. However, AI-based agents can hallucinate or reason incorrectly, and their decisions may propagate errors th…

Agentic Document Extraction – #Python Library for Complex Document Processing 📄
powered by https://landing.ai
🔍 Extracts structured data from complex documents with tables, pictures & charts - retu…

Software Engineer Will Larson unpacks a lot in this July 2025 post. Key takeaway use cases of agentic AI include:
1. Using an LLM to evaluate a context window and get a result.
2. Using an LLM to suggest tools relevant to the context window, then enrich it with the tool’s response.
3. Managing flow control for tool usage.
4. Doing anything software can do to build better context windows to pass on to LLMs.
"What can agents actually do?"

And by “prevent crime,” what they mean is AI will be able to automatically yell at homeless people to move along! Innovation!
https://mastodon.social/@eff/114626708912715793

Amazon is creating an AI team within its Lab126 hardware R&D unit that will help develop an agentic AI framework for use in its robotics operations (Annie Palmer/CNBC)
https://www.cnbc.com/2025/06/04/amazons-rd-lab-forms-new-agentic-ai-group.html…

Amazon's R&D lab forms new agentic AI group
The new group will help develop an agentic AI "framework" for use in its robotics operations, an application often referred to as "physical AI."

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
Mohammed-Khalil Ghali, Cecil Pang, Oscar Molina, Carlos Gershenson-Garcia, Daehan Won
https://arxiv.org/abs/2508.06497

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
Accurate forecasting of commodity price spikes is vital for countries with limited economic buffers, where sudden increases can strain national budgets, disrupt import-reliant sectors, and undermine food and energy security. This paper introduces a hybrid forecasting framework that combines historical commodity price data with semantic signals derived from global economic news, using an agentic generative AI pipeline. The architecture integrates dual-stream Long Short-Term Memory (LSTM) network…

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
https://arxiv.org/abs/2508.10052

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
In this paper, we present NetMoniAI, an agentic AI framework for automatic network monitoring and security that integrates decentralized analysis with lightweight centralized coordination. The framework consists of two layers: autonomous micro-agents at each node perform local traffic analysis and anomaly detection. A central controller then aggregates insights across nodes to detect coordinated attacks and maintain system-wide situational awareness. We evaluated NetMoniAI on a local micro-test…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Nath, Peridis, Benjamin, Liu, Kolouri, Kinnell, Li, Liu, Dora, Soltoggio

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
Yang Lu, Shengli Zhang, Chang Liu, Ruichen Zhang, Bo Ai, Dusit Niyato, Wei Ni, Xianbin Wang, Abbas Jamalipour
https://arxiv.org/abs/2508.08620

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integration. This evolving complexity poses significant challenges in designing communication networks to satisfy the growing quality-of-service and time sensitivity of mobile applications in dynamic environments. Graph neural networks (GNNs) have emerged as fundamental deep learning (DL) models for complex communication ne…

Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
Haowen Xu, Yulin Sun, Jose Tupayachi, Olufemi Omitaomu, Sisi Zlatanov, Xueping Li
https://arxiv.org/abs/2506.13068

Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol
Optimizing urban freight logistics is critical for developing sustainable, low-carbon cities. Traditional methods often rely on manual coordination of simulation tools, optimization solvers, and expert-driven workflows, limiting their efficiency and scalability. This paper presents an agentic system architecture that leverages the model context protocol (MCP) to orchestrate multi-agent collaboration among scientific tools for autonomous, simulation-informed optimization in urban logistics. The …

Quantum Agents
Eldar Sultanow, Madjid Tehrani, Siddhant Dutta, William J Buchanan, Muhammad Shahbaz Khan
https://arxiv.org/abs/2506.01536 https://

Quantum Agents
This paper explores the intersection of quantum computing and agentic AI by examining how quantum technologies can enhance the capabilities of autonomous agents, and, conversely, how agentic AI can support the advancement of quantum systems. We analyze both directions of this synergy and present conceptual and technical foundations for future quantum-agentic platforms. Our work introduces a formal definition of quantum agents and outlines potential architectures that integrate quantum computing…

Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
Qiang Chen, Tianyang Han, Jin Li, Ye Luo, Yuxiao Wu, Xiaowei Zhang, Tuo Zhou
https://arxiv.org/abs/2506.00856

Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
Can AI effectively perform complex econometric analysis traditionally requiring human expertise? This paper evaluates an agentic AI's capability to master econometrics, focusing on empirical analysis performance. We develop an ``Econometrics AI Agent'' built on the open-source MetaGPT framework. This agent exhibits outstanding performance in: (1) planning econometric tasks strategically, (2) generating and executing code, (3) employing error-based reflection for improved robustness, and (4) all…

AI Agents and the Law
Mark O. Riedl, Deven R. Desai
https://arxiv.org/abs/2508.08544 https://arxiv.org/pdf/2508.08544…

AI Agents and the Law
As AI becomes more "agentic," it faces technical and socio-legal issues it must address if it is to fulfill its promise of increased economic productivity and efficiency. This paper uses technical and legal perspectives to explain how things change when AI systems start being able to directly execute tasks on behalf of a user. We show how technical conceptions of agents track some, but not all, socio-legal conceptions of agency. That is, both computer science and the law recognize the problems …

This https://arxiv.org/abs/2505.24584 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams
Recent advancements in generative AI have accelerated the discovery of novel chemicals and materials; however, transitioning these discoveries to industrial-scale production remains a critical bottleneck, as it requires the development of entirely new chemical manufacturing processes. Current AI methods cannot auto-generate PFDs or PIDs, despite their critical role in scaling chemical processes, while adhering to engineering constraints. We present a closed loop, physics aware framework for the…

They say "agentic AI", I think "self-driving bot". It helps me focus on what's actually being proposed beyond the expression I loathe.

> US government announces $200 million Grok contract a week after ‘MechaHitler’ incident
This is one of those headlines that zips by in the movie's exposition-heavy title sequence.
https://www.theverge.com/news/706855/grok-mechahitler-xai-de…

US government announces $200 million Grok contract a week after ‘MechaHitler’ incident
The US Defense Department is awarding Elon Musk’s xAI a contract to help “develop agentic AI workflows” following an ill-fated Grok update.

A look at 10 AI agent startups from YC's first-ever spring Demo Day; the batch included 144 companies, 70 of which focused on agentic AI (Samantha Stokes/Business Insider)
https://africa.businessinsider.com/new

The 10 most exciting AI agent startups at Y Combinator's Demo Day for its first-ever spring cohort
Christmas came early for Y Combinator

AI Agent Behavioral Science
Lin Chen, Yunke Zhang, Jie Feng, Haoye Chai, Honglin Zhang, Bingbing Fan, Yibo Ma, Shiyuan Zhang, Nian Li, Tianhui Liu, Nicholas Sukiennik, Keyu Zhao, Yu Li, Ziyi Liu, Fengli Xu, Yong Li
https://arxiv.org/abs/2506.06366

AI Agent Behavioral Science
Recent advances in large language models (LLMs) have enabled AI systems to behave in increasingly human-like ways, exhibiting planning, adaptation, and social dynamics across increasingly diverse, interactive, and open-ended scenarios. These behaviors are not solely the product of the models' internal architecture, but emerge from their integration into agentic systems that operate within situated contexts, where goals, feedback, and interactions shape behavior over time. This shift calls for a…

Agentic AI in Product Management: A Co-Evolutionary Model
Nishant A. Parikh
https://arxiv.org/abs/2507.01069 https://arxiv.org/pdf/25…

Agentic AI in Product Management: A Co-Evolutionary Model
This study explores agentic AI's transformative role in product management, proposing a conceptual co-evolutionary framework to guide its integration across the product lifecycle. Agentic AI, characterized by autonomy, goal-driven behavior, and multi-agent collaboration, redefines product managers (PMs) as orchestrators of socio-technical ecosystems. Using systems theory, co-evolutionary theory, and human-AI interaction theory, the framework maps agentic AI capabilities in discovery, scoping, b…

Agentic AI in 6G Software Businesses: A Layered Maturity Model
Muhammad Zohaib, Muhammad Azeem Akbar, Sami Hyrynsalmi, Arif Ali Khan
https://arxiv.org/abs/2508.03393 https://

Agentic AI in 6G Software Businesses: A Layered Maturity Model
The emergence of agentic AI systems in 6G software businesses presents both strategic opportunities and significant challenges. While such systems promise increased autonomy, scalability, and intelligent decision-making across distributed environments, their adoption raises concerns regarding technical immaturity, integration complexity, organizational readiness, and performance-cost trade-offs. In this study, we conducted a preliminary thematic mapping to identify factors influencing the adopt…

Microsoft Windows head Pavan Davuluri says the next Windows version will be more ambient, pervasive and multi-modal, with voice becoming more important (Zac Bowden/Windows Central)
https://www.windowscentral.com/microsoft/w

Microsoft's Windows lead says the next version of Windows will be "more ambient, pervasive, and multi-modal" as AI redefines the desktop interface
In a new video, Microsoft CVP and Windows boss Pavan Davuluri has teased that the future of Windows will consist of a truly ambient and multi-modal experience made possible by AI that will redefine our usage of computers.

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Sahar Salimpour, Lei Fu, Farhad Keramat, Leonardo Militano, Giovanni Toffetti, Harry Edelman, Jorge Pe\~na Queralta
https://arxiv.org/abs/2508.05294

Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Foundation models, including large language models (LLMs) and vision-language models (VLMs), have recently enabled novel approaches to robot autonomy and human-robot interfaces. In parallel, vision-language-action models (VLAs) or large behavior models (BLMs) are increasing the dexterity and capabilities of robotic systems. This survey paper focuses on those words advancing towards agentic applications and architectures. This includes initial efforts exploring GPT-style interfaces to tooling, a…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/3]:
- From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents
Tatiana Petrova, Boris Bliznioukov, Aleksandr Puzikov, Radu State

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
Hana Derouiche, Zaki Brahmi, Haithem Mazeni
https://arxiv.org/abs/2508.10146 https://

Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
The emergence of Large Language Models (LLMs) has ushered in a transformative paradigm in artificial intelligence, Agentic AI, where intelligent agents exhibit goal-directed autonomy, contextual reasoning, and dynamic multi-agent coordination. This paper provides a systematic review and comparative analysis of leading Agentic AI frameworks, including CrewAI, LangGraph, AutoGen, Semantic Kernel, Agno, Google ADK, and MetaGPT, evaluating their architectural principles, communication mechanisms, m…

Research by Anthropic how GenAI models blackmail in laboratory situations. Underlines the importance of checks and human oversight.
#AI

Agentic Misalignment: How LLMs could be insider threats
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs

Goldman Sachs CTO Marco Argenti says the bank is "going to start augmenting our workforce with Devin", Cognition's AI coding assistant, as Wall Street adopts AI (Hugh Son/CNBC)
https://www.cnbc.com/2025/07/11/goldman-sachs-auto…

Goldman Sachs is piloting its first autonomous coder in major AI milestone for Wall Street
The arrival of agentic AI at Goldman Sachs, in which programs don't just help with tasks but execute complex jobs, signals a shift on Wall Street.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
Quanyan Zhu
https://arxiv.org/abs/2507.10621 https://

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
Protecting cyberspace requires not only advanced tools but also a shift in how we reason about threats, trust, and autonomy. Traditional cybersecurity methods rely on manual responses and brittle heuristics. To build proactive and intelligent defense systems, we need integrated theoretical frameworks and software tools. Game theory provides a rigorous foundation for modeling adversarial behavior, designing strategic defenses, and enabling trust in autonomous systems. Meanwhile, software tools p…

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
Ren\'e Bohnsack, Mickie de Wet
https://arxiv.org/abs/2506.17339

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
This article develops the concept of Autonomous Business Models (ABMs) as a distinct managerial and strategic logic in the age of agentic AI. While most firms still operate within human-driven or AI-augmented models, we argue that we are now entering a phase where agentic AI (systems capable of initiating, coordinating, and adapting actions autonomously) can increasingly execute the core mechanisms of value creation, delivery, and capture. This shift reframes AI not as a tool to support strateg…

🌟 Real-World Impact
Companies are already seeing incredible results: • Goldman Sachs piloting autonomous AI coders • Developer tools integrating for enhanced productivity • Research institutions building custom agentic systems • Startups leveraging cost-effective AI infrastructure 🏢

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko, Tim Tsykunou, Piotr Varaksin, Matt Pavelle, Adam Z. Oskowitz
https://arxiv.org/abs/2507.22902

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a vir…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
VideoDeepResearch: Long Video Understanding With Agentic Tool Using
http…

I wonder if AI’s effectiveness will speed up the inevitable death of some ecosystems.
If folks want the “best” (and I mean least shit) Agentic AI experience, they will probably gravitate towards more populated communities where the training data can produce a semblance of “working”.
This will likely flat-line some communities since many devs want something that works.

Moonshot's Kimi K2 uses a 1T-parameter MoE architecture with 32B active parameters and outperforms models like GPT-4.1 and DeepSeek-V3 on key benchmarks (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/moonshot-ais-kimi-k2-outperfor…

Moonshot AI’s Kimi K2 outperforms GPT-4 in key benchmarks — and it’s free
Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with breakthrough agentic capabilities and competitive pricing.

Remagine Ventures: 342 Israeli startups are focused on generative AI in 2025, up by 198 since May 2024, and they have collectively raised $20B to date (Elihay Vidal/CTech)
https://www.calcalistech.com/ctechnews/article/s1yl6mlulx

Mapping Israel’s $20B GenAI boom: 342 startups and counting
New Remagine Ventures report charts explosive growth and the rise of agentic AI systems.

Agoran: An Agentic Open Marketplace for 6G RAN Automation
Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone, Ali Maatouk, Leandros Tassioulas, Roberto Morabito, Ioannis Pitsiorlas, Marios Kountouris
https://arxiv.org/abs/2508.09159

Agoran: An Agentic Open Marketplace for 6G RAN Automation
Next-generation mobile networks must reconcile the often-conflicting goals of multiple service owners. However, today's network slice controllers remain rigid, policy-bound, and unaware of the business context. We introduce Agoran Service and Resource Broker (SRB), an agentic marketplace that brings stakeholders directly into the operational loop. Inspired by the ancient Greek agora, Agoran distributes authority across three autonomous AI branches: a Legislative branch that answers compliance q…

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
Dany Moshkovich, Sergey Zeltyn
https://arxiv.org/abs/2507.11277 …

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
Large Language Models (LLMs) are increasingly deployed within agentic systems-collections of interacting, LLM-powered agents that execute complex, adaptive workflows using memory, tools, and dynamic planning. While enabling powerful new capabilities, these systems also introduce unique forms of uncertainty stemming from probabilistic reasoning, evolving memory states, and fluid execution paths. Traditional software observability and operations practices fall short in addressing these challenges…

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
Kiana Jafari Meimandi, Gabriela Ar\'anguiz-Dias, Grace Ra Kim, Lana Saadeddin, Mykel J. Kochenderfer
https://arxiv.org/abs/2506.02064

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
As industry reports claim agentic AI systems deliver double-digit productivity gains and multi-trillion dollar economic potential, the validity of these claims has become critical for investment decisions, regulatory policy, and responsible technology adoption. However, this paper demonstrates that current evaluation practices for agentic AI systems exhibit a systemic imbalance that calls into question prevailing industry productivity claims. Our systematic review of 84 papers (2023--2025) reve…

Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Shuo Jiang, Min Xie, Frank Youhua Chen, Jian Ma, Jianxi Luo
https://arxiv.org/abs/2506.09755

Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Research and practice in Intelligent Design (ID) have significantly enhanced engineering innovation, efficiency, quality, and productivity over recent decades, fundamentally reshaping how engineering designers think, behave, and interact with design processes. The recent emergence of Foundation Models (FMs), particularly Large Language Models (LLMs), has demonstrated general knowledge-based reasoning capabilities, and open new paths and avenues for further transformation in engineering design. …

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
Matteo Esposito, Alexander Bakhtin, Noman Ahmad, Mikel Robredo, Ruoyu Su, Valentina Lenarduzzi, Davide Taibi
https://arxiv.org/abs/2506.22185

Autonomic Microservice Management via Agentic AI and MAPE-K Integration
While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining ro…

Agentic AI and Multiagentic: Are We Reinventing the Wheel?
V. Botti
https://arxiv.org/abs/2506.01463 https://arxiv.org/pdf/2506.01463…

Agentic AI and Multiagentic: Are We Reinventing the Wheel?
The terms Agentic AI and Multiagentic AI have recently gained popularity in discussions on generative artificial intelligence, often used to describe autonomous software agents and systems composed of such agents. However, the use of these terms confuses these buzzwords with well-established concepts in AI literature: intelligent agents and multi-agent systems. This article offers a critical analysis of this conceptual misuse. We review the theoretical origins of "agentic" in the social science…

Leena AI, which develops an employee-facing agentic AI assistant, launches "AI colleagues" that it says can work and interact just like human employees (Kyt Dotson/SiliconANGLE)
https://siliconangle.com/2025/07/24/leena-ai-anno…

Leena AI announces voice-enabled AI ‘colleagues’ who can work alongside you - SiliconANGLE
Leena AI announces voice-enabled AI ‘colleagues’ who can work alongside you - SiliconANGLE

Agentic large language models improve retrieval-based radiology question answering
Sebastian Wind, Jeta Sopa, Daniel Truhn, Mahshad Lotfinia, Tri-Thien Nguyen, Keno Bressem, Lisa Adams, Mirabela Rusu, Harald K\"ostler, Gerhard Wellein, Andreas Maier, Soroosh Tayebi Arasteh
https://arxiv.org/abs/2508.00743

Agentic large language models improve retrieval-based radiology question answering
Clinical decision-making in radiology increasingly benefits from artificial intelligence (AI), particularly through large language models (LLMs). However, traditional retrieval-augmented generation (RAG) systems for radiology question answering (QA) typically rely on single-step retrieval, limiting their ability to handle complex clinical reasoning tasks. Here we propose an agentic RAG framework enabling LLMs to autonomously decompose radiology questions, iteratively retrieve targeted clinical …

Moonshot AI just dropped something incredible - Kimi K2, a massive 1-trillion parameter Mixture-of-Experts (MoE) model that's specifically designed for "agentic intelligence" 🤖. But here's the kicker: it's completely open-source under a Modified MIT License!

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, Anthony Green
https://arxiv.org/abs/2508.01997

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structu…

France's Capgemini plans to acquire US-listed IT outsourcing company WNS for $3.3B in cash, seeking to boost its agentic AI services; WNS serves 600 clients (Bloomberg)
https://www.bloomberg.com/news/articles/2025-07…

Capgemini to Buy WNS for $3.3 Billion to Boost ‘Agentic’ AI
France’s Capgemini SE plans to acquire IT outsourcing company WNS Holdings Ltd. for $3.3 billion in cash, beating rival suitors to a deal aimed at expanding its AI operations.

Oversight Structures for Agentic AI in Public-Sector Organizations
Chris Schmitz, Jonathan Rystr{\o}m, Jan Batzner
https://arxiv.org/abs/2506.04836 https:/…

Oversight Structures for Agentic AI in Public-Sector Organizations
This paper finds that the introduction of agentic AI systems intensifies existing challenges to traditional public sector oversight mechanisms -- which rely on siloed compliance units and episodic approvals rather than continuous, integrated supervision. We identify five governance dimensions essential for responsible agent deployment: cross-departmental implementation, comprehensive evaluation, enhanced security protocols, operational visibility, and systematic auditing. We evaluate the capaci…

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
Alaa Saleh, Roberto Morabito, Sasu Tarkoma, Anders Lindgren, Susanna Pirttikangas, Lauri Lov\'en
https://arxiv.org/abs/2508.09147

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing and autonomous agent-based service scenarios. This manuscript introduces WAAN, a cross-layer framework that enables intent-aware and proactive handovers by embedding lightweight TinyML agents as autonomous, negotiation-capable entities across heterogeneous edge nodes that contribute to intent propagation and network ada…

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael Yankoski, Trenton W. Ford, Diego Gomez-Zara
https://arxiv.org/abs/2508.04634

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study team behaviors. We introduce VirtLab, a user-friendly, customizable, multi-agent, and scalable team simulation system that enables testing teams with LLM-based agents in spatial and temporal settings. This system addresses the current frameworks' design and technical limitations that do not consider flexible simulation s…

Microsoft Edge adds Copilot Mode, an experimental feature that tries to make browsing an agentic AI experience, even anticipating links to click, free for now (Zac Bowden/Windows Central)
https://www.windowscentral.com/microsoft/micros…

Microsoft revolutionizes Edge as an AI-powered web browser with new experimental 'Copilot Mode' — but it won't be free forever
Copilot Mode in Microsoft Edge is a new experimental feature that transforms the browser into an agentic AI experience, but it's only free for a limited time.

Agentic Enterprise: AI-Centric User to User-Centric AI
Arpit Narechania, Alex Endert, Atanu R Sinha
https://arxiv.org/abs/2506.22893 https://

Agentic Enterprise: AI-Centric User to User-Centric AI
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - personal, social, health, education, professional. In this paper, we take a closer look at the potential of AI for Enterprises, where decision-making plays a crucial and repeated role across functions, tasks, and operations. We consider Agents imbued with AI as means to increase decision-productivity of enterprises. We hi…

Israeli customer service automation company Nice acquires Cognigy, which develops a conversational and agentic AI platform, for $955M, set to close in Q4 2025 (Shiri Habib-Valdhorn/Globes)
https://en.globes.co.il/en/article-nice-acquires-ai-co-cognigy-…

Nice acquires AI co Cognigy for $955m
The acquisition combines Nice's purpose built customer service AI platform with Cognigy's conversational and agentic platform, which will enable organizations to accelerate AI adoption in customer experience.

Collaborative Agentic AI Needs Interoperability Across Ecosystems
Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
https://arxiv.org/abs/2505.21550

Collaborative Agentic AI Needs Interoperability Across Ecosystems
Collaborative agentic AI is projected to transform entire industries by enabling AI-powered agents to autonomously perceive, plan, and act within digital environments. Yet, current solutions in this field are all built in isolation, and we are rapidly heading toward a landscape of fragmented, incompatible ecosystems. In this position paper, we argue that interoperability, achieved by the adoption of minimal standards, is essential to ensure open, secure, web-scale, and widely-adopted agentic ec…

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
Sree Bhargavi Balija, Rekha Singal, Abhishek Singh, Ramesh Raskar, Erfan Darzi, Raghu Bala, Thomas Hardjono, Ken Huang
https://arxiv.org/abs/2507.07901

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
The fragmentation of AI agent ecosystems has created urgent demands for interoperability, trust, and economic coordination that current protocols -- including MCP (Hou et al., 2025), A2A (Habler et al., 2025), ACP (Liu et al., 2025), and Cisco's AGP (Edwards, 2025) -- cannot address at scale. We present the Nanda Unified Architecture, a decentralized framework built around three core innovations: fast DID-based agent discovery through distributed registries, semantic agent cards with verifiable…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/9]:
- From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents
Tatiana Petrova, Boris Bliznioukov, Aleksandr Puzikov, Radu State

AI Agent Smart Contract Exploit Generation
Arthur Gervais, Liyi Zhou
https://arxiv.org/abs/2507.05558 https://arxiv.org/pdf/2507.0555…

AI Agent Smart Contract Exploit Generation
We present A1, an agentic execution driven system that transforms any LLM into an end-to-end exploit generator. A1 has no hand-crafted heuristics and provides the agent with six domain-specific tools that enable autonomous vulnerability discovery. The agent can flexibly leverage these tools to understand smart contract behavior, generate exploit strategies, test them on blockchain states, and refine approaches based on execution feedback. All outputs are concretely validated to eliminate false …

Nominal, which develops AI agents for ERP systems to automate tasks for finance teams, raised a $20M Series A led by Next47, bringing its total funding to ~$30M (Meir Orbach/CTech)
https://www.calcalistech.com/ctechnews/article/hjp11cpislx

Ex-Cognigo founders raise $20M Series A to bring AI automation to CFOs
Nominal’s agentic platform promises to cut thousands of hours of manual accounting work.

The US DOD announces OpenAI, Google, Anthropic, and xAI have won DOD contracts, each with a $200M ceiling, aimed at enabling agentic AI workflows and more (Deborah Sophia/Reuters)
https://www.reuters.com/business/autos-trans…

Google unveils Gemini CLI, an agentic AI tool that lets developers make natural language requests by connecting Gemini models to local codebases in terminals (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/25/google-unveil…

Google unveils Gemini CLI, an open-source AI tool for terminals | TechCrunch
Google launched a new, open source AI coding tool for terminals, Gemini CLI, to compete with similar offerings from OpenAI and Anthropic.

Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench
Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee
https://arxiv.org/abs/2507.02976

Are AI-Generated Fixes Secure? Analyzing LLM and Agent Patches on SWE-bench
Large Language Models (LLMs) and their agentic frameworks are increasingly adopted to automate software development tasks such as issue resolution and program repair. While prior work has identified security risks in LLM-generated code, most evaluations have focused on synthetic or isolated settings, leaving open questions about the security of these systems in real-world development contexts. In this study, we present the first large-scale security analysis of LLM-generated patches using 20,00…

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Weihao Tan, Changjiu Jiang, Yu Duan, Mingcong Lei, Jiageng Li, Yitian Hong, Xinrun Wang, Bo An
https://arxiv.org/abs/2507.07445

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
Autonomous agents navigating human society must master both production activities and social interactions, yet existing benchmarks rarely evaluate these skills simultaneously. To bridge this gap, we introduce StarDojo, a novel benchmark based on Stardew Valley, designed to assess AI agents in open-ended production-living simulations. In StarDojo, agents are tasked to perform essential livelihood activities such as farming and crafting, while simultaneously engaging in social interactions to est…

Q&A with Anthropic CEO Dario Amodei on Anthropic's growth to ~$5B in ARR, focusing on B2B, AI talent wars, open-source models, safety regulations, and more (John Collison/Cheeky Pint)
https://cheekypint.substack.com/p/a-cheeky-pint-with-anthropic-ceo

A Cheeky Pint with Anthropic CEO Dario Amodei
Dario Amodei joins John Collison to talk about Anthropic's growth to almost $5 billion in ARR, how AI models show capitalistic impulses, predictions for an agentic future, the economics of model businesses, and the 19th-century concept of vitalism.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Compliance Brain Assistant: Conversational Agentic AI for Assisting Compliance Tasks in Enterpris...
Zhu, Fang, Larson, Pochareddy, Rao, Zeng, Peng, Summer, Goncalves, Pudota, Robert

Google hires Windsurf CEO Varun Mohan, co-founder Douglas Chen, and some of Windsurf's R&D employees to focus on agentic coding efforts at DeepMind (Hayden Field/The Verge)
https://www.theverge.com/openai/705999/google-windsurf-ceo-openai

OpenAI’s Windsurf deal is off — and its CEO is going to Google
Key researchers from the AI coding startup are also heading to Google.

Agentic AI framework for End-to-End Medical Data Inference
Soorya Ram Shimgekar, Shayan Vassef, Abhay Goyal, Navin Kumar, Koustuv Saha
https://arxiv.org/abs/2507.18115 https://

Agentic AI framework for End-to-End Medical Data Inference
Building and deploying machine learning solutions in healthcare remains expensive and labor-intensive due to fragmented preprocessing workflows, model compatibility issues, and stringent data privacy constraints. In this work, we introduce an Agentic AI framework that automates the entire clinical data pipeline, from ingestion to inference, through a system of modular, task-specific agents. These agents handle both structured and unstructured data, enabling automatic feature selection, model se…

MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
Alexandru-Andrei Avram, Adrian Groza, Alexandru Lecu
https://arxiv.org/abs/2508.10143 https://

MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
The large spread of disinformation across digital platforms creates significant challenges to information integrity. This paper presents a multi-agent system that uses relation extraction to detect disinformation in news articles, focusing on titles and short text snippets. The proposed Agentic AI system combines four agents: (i) a machine learning agent (logistic regression), (ii) a Wikipedia knowledge check agent (which relies on named entity recognition), (iii) a coherence detection agent (u…