Tootfinder

How AI automation can fulfill Thomas Piketty's predictions on rising economic inequality, and why highly progressive taxes on capital can help slow the spiral (Philosopher Count)
https://philiptrammell.substack.com/p/capital-in-the-22nd-century

Capital in the 22nd Century
Piketty was wrong about the past. He’s probably right about the future.

«The moment was absurd but revealing; the university wasn’t resisting bullshit education, it was onboarding it. Education at its best sparks curiosity and critical thought. “Bullshit education” does the opposite: it trains people to tolerate meaninglessness, to accept automation of their own thinking, to value credentials over competence.»
An excellent read about how/why uni admin pushes the use of "AI" and the impact
https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself

Just finished "Valor", edited by Isabelle Melançon and Megan Lavey-Heaton. It's a collection of re-told fairy tales with female protagonists and includes a mix of comics and written stories. Lots of great stuff, even if my distaste for monarchy soured it a bit for me (not all of the heroines are princesses, at least). Has a lot of cool queer romance in it.
I think I liked "The Steadfast Tin Automation", "Black Bull", and "Eggchild" best overall.
#AmReading #ReadingNow

[OT] Dilbert? Salesforce steps back from AI: Executives reveal overconfidence in LLMs, pivot to deterministic automation https://opentools.ai/news/salesforce-steps-back-from-ai-executives-reveal-overconfidence-in-ll…

Snapcase afternoon. This is my favorite Snapcase record. 2000 strong.
#Snapcase

Gravis Robotics, which adds cameras, sensors, and AI to heavyweight construction machines so they can operate autonomously, raised $23M led by IQ and Zacua (Beatrice Nolan/Fortune)
https://fortune.com/2025/11/28/gravis-robotic…

Exclusive: Gravis Robotics raises $23M to tackle construction’s labor shortage with AI-powered machines
The Swiss startup is aiming to automate construction equipment as the industry faces a severe shortage of skilled operators and surging demand.

Open-source security group pulls out of U.S. grant, citing DEI restrictions
https://cyberscoop.com/python-software-foundation-rejects-federal-grant-funding-citing-dei-restrictions/

Is anyone using Packer and VMware and Rocky Linux? I'm having an issue with Rocky 10 and the packer boot. Using the example boot command here https://docs.rockylinux.org/10/guides/automation/templates-automation-packer-vsphere/ I end up with a …

I've been distrustful of Docker for so long that I've never really got into using containers. I get very confused by how it takes over the networking and needs to add and remove its own firewall rules. They clash with my use of nftables, and IPv6, and my other automation. It's made me avoid it.
But Podman has really been coming along and I've been looking at it again. It's going quite well.

We introduce the Remote Labor Index (RLI),
a broadly multi-sector benchmark comprising real-world, economically valuable remote-work projects
designed to evaluate end-to-end agent performance in practical settings.
Across evaluated frontier AI agent frameworks, performance sits near the floor,
with a maximum automation rate of 2.5% on RLI projects.

I hope everyone who celebrates it had a great Christmas yesterday. Today was 2/3 for #automation #diy. I can now see #co2 levels in the living room and toggle the garage door from

This widely-linked story is, I think, much ado about nothing. Anyone who's seen the inside of an Amazon warehouse immediately thinks “Shouldn’t robots be doing this?” and that includes every Amazon biz and engineering leader, starting like 25 years ago. There is no doubt that the whole warehouse sector would love to replace humans with robots. It’s hard. So what’s new? Is it possible LLM fairy dust will solve the problem? Unconvinced.

Amazon hopes to replace 600,000 US workers with robots, according to leaked documents
Amazon is leaning into automation plans that will enable the company to avoid hiring more than half a million US workers, according to leaked documents.

#Amazon will bis 2033 drei Viertel seiner Lagerprozesse automatisieren – 600.000 Jobs weniger, "Workforce Reduction through Process Automation" inklusive. Fortschritt oder kalte Rationalisierung? Der Mensch wird zum Supervisor seiner eigenen Ersetzung. Ein globales Arbeits‑Experiment mit offenem Ende.
🔗

How can business leaders design & implement agentic AI, run high impact pilots & build the human skills that set Frontier firms apart?
▶️ AI and automation expert on how leaders use AI agents to get ahead | Pascal Bornet - #Microsoft #Worklab

the final stage of playing an automation game is automating away the automation game by watching a letsplay instead

I’ve been testing a theory: many people who are high on #AI and #LLMs are just new to automation and don’t realize you can automate processes with simple programming, if/then conditions, and API calls with zero AI involved.
So far it’s been working!
Whenever I’ve been asked to make an AI flow or find a way to implement AI in our work with a client, I’ve returned back with an automation flow that uses 0 AI.
Things like “when a new document is added here, add a link to it in this spreadsheet and then create a task in our project management software assigned to X with label Y”.
And the people who were frothing at the mouth at how I must change my mind on AI have (so far) all responded with resounding enthusiasm and excitement.
They think it’s the same thing. They just don’t understand how much automation is possible without any generative tools.

AATMAA – SOUNDS OF AUTOMATION
https://emerge.bandcamp.com/album/sounds-of-automation
https://www.

Some Japanese stores are using robots from the startup Telexistence to restock shelves, piloted remotely by Filipino workers whose actions train AI models (Michael Beltran/Rest of World)
https://restofworld.org/2025/philippines-offshoring-automation-tech-jobs/

Japanese convenience stores are hiring robots run by workers in the Philippines
Filipino tele-operators remotely control Japan’s convenience store robots and train AI, benefiting from an uptick in automation-related jobs.

I was happy to see the Dr. Smith's Insult Library is still online!
Animated Weather Station
Arrogant Automation
Bulbous Bumpkin
Neanderthal Ninny
Silly Looking Bucket of Bolts
Tarnished Trumpet
https://www.bellaonline.com/articles/art3316.asp

I’ve automated it so now I don’t have to actively perform the task — I only have to fix it when the automation breaks, which only happens extremely regularly

Got a new fun home automation project to play with in the coming days: Open Epaper displays with https://openepaperlink.de/
Currently figuring out the optimal position for this AP to get the base range out of it before adding all the automations to @…

Amazon blames a rare software bug and "faulty automation" for this week's massive AWS glitch, and says it has turned off the flawed automation worldwide (Todd Bishop/GeekWire)
https://www.geekwire.com/2025/how-the-aws-…

DNS strikes again
"Amazon reveals cause of AWS outage that took everything from banks to smart beds offline"
https://www.theguardian.com/technology/2025/oct/24/amazon-reveals-cause-of-aws-outage

from my link log —
Exploring the fragmentation of Wayland: an xdotool adventure.
https://www.semicomplete.com/blog/xdotool-and-exploring-wayland-fragmentation/
saved 2025-11-21

This week's legacy edu space goes to "[...] an American technology company that provides a marketing automation platform, used primarily for email marketing and SMS marketing."
Yay
https://social.bgp.tools/@transfers/statuses/01K86WJ0N3EAWS9AW2QXNFR…

Post by IP/ASN Transfers, @transfers@bgp.tools
"St. Francis Xavier University" transferred 141.109.240.0/20 (Taken from 141.109.176.0 - 141.109.255.255) to "Klaviyo, Inc" (Estimated Market Value: $90.11 K)

Accurate and Noise-Tolerant Extraction of Routine Logs in Robotic Process Automation (Extended Version)
Massimiliano de Leoni, Faizan Ahmed Khan, Simone Agostinelli
https://arxiv.org/abs/2510.08118

Accurate and Noise-Tolerant Extraction of Routine Logs in Robotic Process Automation (Extended Version)
Robotic Process Mining focuses on the identification of the routine types performed by human resources through a User Interface. The ultimate goal is to discover routine-type models to enable robotic process automation. The discovery of routine-type models requires the provision of a routine log. Unfortunately, the vast majority of existing works do not directly focus on enabling the model discovery, limiting themselves to extracting the set of actions that are part of the routines. They were a…

Reclaiming the human mind 🧠
In our latest #GEANTCybersecurity expert article, Panayiota Smyrli (Digital Security Authority) examines a quiet shift: as automation grows, our critical thinking shrinks.
AI drafts our ideas, finishes our sentences, and even nudges our decisions.
Panayiota invites us to step back, slow down, & reintroduce small mental challenges: doing t…

Worktrace AI, founded by ex-OpenAI product lead Angela Jiang and researcher Deepak Vasisht, launches with a $9.3M seed, and unveils a workflow automation agent (Alex Konrad/Upstarts Media)
https://www.upstartsmedia.com/p/worktrace-ai-automation-openai

OpenAI-Backed Automation Startup Worktrace AI Launches With $9M
Worktrace AI founders Angela Jiang and Deepak Vasisht are launching a workflow automation agent with $9M from Conviction, 8VC, OpenAI and prominent alumni like Mira Murati.

New project post: AnotterKiosk
AnotterKiosk is another full-page web-browser OS for Pi's and other PCs, displays a webpage in full screen 24/7.
It has support for multi-touch input, a watchdog/heartbeat feature, local webserver, fully read-only root FS (won't kill SD cards, ever!), manual EDID overrides, configurable caching, reverse SSH tunnel support...
Can be used for signs, conference info screens, dashboards, home automation, etc.

Proof Strategy Extraction from LLMs for Enhancing Symbolic Provers
Jian Fang, Yican Sun, Yingfei Xiong
https://arxiv.org/abs/2510.10131 https://arxiv.org/p…

Proof Strategy Extraction from LLMs for Enhancing Symbolic Provers
One important approach to software verification is interactive theorem proving. However, writing formal proofs often requires substantial human effort, making proof automation highly important. Traditionally, proof automation has relied on symbolic provers. Recently, large language models (LLMs) have demonstrated strong capabilities in theorem proving, complementing symbolic provers. Nonetheless, prompting LLMs can be expensive and may pose security risks for confidential codebases. As a result…

Introducing "Hey #Copilot..." that recognizes what's happening on the screen to understand what you're doing.
Now with a built-in voice agent that does GENERAL #AUTOMATION for user tasks.
✅ Making every

«But hegemony is fragile – it must be reinforced and modified through continued reassertion of power. […] AI automates this reinforcement – the WEIRD values of the texts that build this new form of intelligence are not just common sense, they are how the machine knows how to answer questions and produce text…»
Really enjoyed @…'s notes on "Gramsci’s Nightmare: AI, Platform Power and the Automation of Cultural Hegemony"
https://ethanzuckerman.com/2025/12/05/gramscis-nightmare-ai-platform-power-and-the-automation-of-cultural-hegemony/

A recurring issue:
Source of Truth vs Point of Truth with many-system setups.
Imagine having separate
- issue tracking (e.g. JIRA)
- time tracking (e.g. Toggl)
- development tracking (e.g. GitLab)
- daily team sync (e.g. Confluence)
- weekly sync with stakeholders (...)
Without diligent manual labor or a lot of handcrafted automation, those keep getting out of sync.

A look at Amazon's Sparrow, Cardinal, Proteus, and other warehouse robots, taking over roles like selecting and picking items, carrying shipping carts, and more (Karen Weise/New York Times)
https://www.nytimes.com/2025/10/21/technology/amazon-robotics-automa…

The Robots Fueling Amazon’s Automation
Meet Sparrow, Cardinal and Proteus. They’re the robots that, step by step, are replacing human workers in the company’s warehouses.

🐘 PostgreSQL? ☁️ Kubernetes? 🦀 Rust? 🛠️ Automation?
If you use it, build it, or broke it—we want to hear about it.
#SCaLE23x

@… @… @… yeah! someone (else) should build an automation for this 😅

#LongPost Last weekend, I spent some time figuring out how I could control one of my storage heaters via Bluetooth and #HomeAssistant. It was relatively straightforward, adjusting settings, seeing what changes happened using BLE Scanner, and then using ESP32-BLE2MQTT to handle the integration. Sorted.
I'd also noticed that the OEM app synced the heater's clock whenever it connected. "Great!", I thought, and set up an automation to do that automatically each night at midnight. Everything looked great.
Except it wasn't. During the week I'd noticed the room getting colder and colder and that the heater wasn't taking a charge. Yesterday, looking through the heater diagnostics, I saw it hadn't recorded any usage data for the week, so updating the clock at midnight was preventing it from charging. Changed that automation and - hurrah - last night gave us heat! Creda storage heater Home Assistant = win!

#AdventOfSystemSeeing I finally caught up with @… - partly by using some skill enhancement automation. Here’s days 8 and 9 on Contexts and Interactions.

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Griffin Pitts, Anurata Prabha Hridi, Arun-Balajiee Lekshmi-Narayanan
https://arxiv.org/abs/2510.03719

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Novice programmers benefit from timely, personalized support that addresses individual learning gaps, yet the availability of instructors and teaching assistants is inherently limited. Large language models (LLMs) present opportunities to scale such support, though their effectiveness depends on how well technical capabilities are aligned with pedagogical goals. This survey synthesizes recent work on LLM applications in programming education across three focal areas: formative code feedback, as…

Leveling Up My #Homelab
https://cweagans.net/2025/09/leveling-up-my-homelab/

Did I mention IC reversing is absolute crack for AuDHD brains?
I should probably put down the EEPROM, at least for a while, and move on to other stuff. But I'm having too much fun.
This is the dangerous part, and the part I have the most trouble with... the problem is so big you'll *never* be done (especially doing it manually without any automation, figuring out what each cell is by hand, etc).
There's always more to discover. Nerd sniping to the 20th power.

An MIT study finds that AI can replace 11.7% of the US labor market, or ~$1.2T in wages, based on the "Iceberg Index", which measures job automation potential (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2025/11/26/mit-study-

MIT study finds AI can already replace 11.7% of U.S. workforce
Artificial intelligence can already replace 11.7% of the U.S. labor market, across finance, health care and professional services, according to MIT's study.

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Jacopo Tagliabue, Ciro Greco
https://arxiv.org/abs/2510.09567 https://a…

Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
Data lakehouses run sensitive workloads, where AI-driven automation raises concerns about trust, correctness, and governance. We argue that API-first, programmable lakehouses provide the right abstractions for safe-by-design, agentic workflows. Using Bauplan as a case study, we show how data branching and declarative environments extend naturally to agents, enabling reproducibility and observability while reducing the attack surface. We present a proof-of-concept in which agents repair data pip…

its insane how broken Confluence Cloud is. All the Atlassian Automation and AI can't achieve a simple thing: Create a page from a template and replace variables from user input ...
One would think this is pretty straightforward.... but not with Atlassian Cloud ... 🤦

This is part of why I feel confident that I am in my last real job.
In 40 years of working, I've *never* gotten a job in IT/#InfoSec by applying for a publicly visible opening. I have had some interviews from *trying* to do it that way, but never made it to hiring. I think I may not mask or hype myself well enough. I suspect that this would be made worse by today's "AI" desolation.
I also stopped even trying to hide my professional cynicism some time ago...

"The effort focused on dozens of targets and involved a level of automation that Anthropic’s cybersecurity investigators had not previously seen"
Chinese Hackers Used Anthropic’s AI to Automate Cyberattacks
https://www.wsj.com/tech/ai/china-hackers-

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration
Mohanakrishnan Hariharan, Satish Arvapalli, Seshu Barma, Evangeline Sheela
https://arxiv.org/abs/2510.10824

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration
We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation. We combine autonomous AI agents with hybrid vector-graph knowledge systems to automate test plan, case, and QE metric generation. Our approach addresses traditional software testing limitations by leveraging LLMs such as Gemini and Mistral, multi-agent orchestration, and enhanced contextualization. The system achieves remarkable accurac…

SilvaScenes: Tree Segmentation and Species Classification from Under-Canopy Images in Natural Forests
David-Alexandre Duclos, William Guimont-Martin, Gabriel Jeanson, Arthur Larochelle-Tremblay, Th\'eo Defosse, Fr\'ed\'eric Moore, Philippe Nolet, Fran\c{c}ois Pomerleau, Philippe Gigu\`ere
https://arxiv.org/abs/2510.09458…

SilvaScenes: Tree Segmentation and Species Classification from Under-Canopy Images in Natural Forests
Interest in robotics for forest management is growing, but perception in complex, natural environments remains a significant hurdle. Conditions such as heavy occlusion, variable lighting, and dense vegetation pose challenges to automated systems, which are essential for precision forestry, biodiversity monitoring, and the automation of forestry equipment. These tasks rely on advanced perceptual capabilities, such as detection and fine-grained species classification of individual trees. Yet, exi…

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Minglun Wei, Xintong Yang, Yu-Kun Lai, Ze Ji
https://arxiv.org/abs/2510.01438 https://

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Robotic automation is accelerating scientific discovery by reducing manual effort in laboratory workflows. However, precise manipulation of powders remains challenging, particularly in tasks such as transport that demand accuracy and stability. We propose a trajectory optimisation framework for powder transport in laboratory settings, which integrates differentiable physics simulation for accurate modelling of granular dynamics, low-dimensional skill-space parameterisation to reduce optimisatio…

Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
Ilia Revin, Leon Strelkov, Vadim A. Potemkin, Ivan Kireev, Andrey Savchenko
https://arxiv.org/abs/2510.09566

Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
There are many critical challenges in optimizing neural network models, including distributed computing, compression techniques, and efficient training, regardless of their application to specific tasks. Solving such problems is crucial because the need for scalable and resource-efficient models is increasing. To address these challenges, we have developed a new automated machine learning (AutoML) framework, Parameter Efficient Training with Robust Automation (PETRA). It applies evolutionary op…

Navigating the complexities of online business expansion? 🤔 As an experienced Online Business Consultant, I’ve witnessed how strategic automation can transform your digital presence. Streamline growth, and mastering the digital realm becomes efficient and effective. What's your biggest challenge today?
#BusinessGrowth #OnlineSuccess #EntrepreneurMindset

My new hobby: discovering how many mindblowing AI automation wonders are just invoking a command that already existed in that product, except less reliably

Agent P: Guiding UI Agents via Symbolic Planning
Shang Ma, Xusheng Xiao, Yanfang Ye
https://arxiv.org/abs/2510.06042 https://arxiv.org/pdf/2510.06042

Agent+P: Guiding UI Agents via Symbolic Planning
Large Language Model (LLM)-based UI agents show great promise for UI automation but often hallucinate in long-horizon tasks due to their lack of understanding of the global UI transition structure. To address this, we introduce AGENT+P, a novel framework that leverages symbolic planning to guide LLM-based UI agents. Specifically, we model an app's UI transition structure as a UI Transition Graph (UTG), which allows us to reformulate the UI automation task as a pathfinding problem on the UTG. Th…

Numeric, which automates accounting workflows, raised a $51M Series B led by IVP, bringing its total funding to $89M, and says OpenAI and Brex are clients (Ryan Lawler/Axios)
https://www.axios.com/pro/fintech-deals/2025/11/19/numeric-51-million-acc…

Exclusive: Numeric raises $51M to automate accounting
Company connects close, cash and analytics in one data layer.

Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
Muhammad Abdullah Soomro, Fatima Muhammad Anwar
https://arxiv.org/abs/2510.06421 https://

Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
The Precision Time Protocol (PTP), standardized as IEEE 1588, provides sub-microsecond synchronization across distributed systems and underpins critical infrastructure in telecommunications, finance, power systems, and industrial automation. While prior work has extensively analyzed PTP's vulnerability to network-based attacks, prompting the development of cryptographic protections and anomaly detectors, these defenses presume an uncompromised host. In this paper, we identify and exploit a crit…

The analogy theorem in Hoare logic
Nikitin Nikita
https://arxiv.org/abs/2510.03685 https://arxiv.org/pdf/2510.03685…

The analogy theorem in Hoare logic
The introduction of machine learning methods has led to significant advances in automation, optimization, and discoveries in various fields of science and technology. However, their widespread application faces a fundamental limitation: the transfer of models between data domains generally lacks a rigorous mathematical justification. The key problem is the lack of formal criteria to guarantee that a model trained on one type of data will retain its properties on another.This paper proposes a so…

from my link log —
Coding for non-programmers: we need better web GUI automation tools.
https://matduggan.com/why-we-need-better/
saved 2021-10-23 https://<…

#Zigbee #HomeAutomation without :homeassistant: #HomeAssistant, instead all defined in :nixos: #nix /

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Vincenzo Norman Vitale, Antonia Maria Tulino, Andreas F. Molisch, Jaime Llorca
https://arxiv.org/abs/2510.11535

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Timely delivery of delay-sensitive information over dynamic, heterogeneous networks is increasingly essential for a range of interactive applications, such as industrial automation, self-driving vehicles, and augmented reality. However, most existing network control solutions target only average delay performance, falling short of providing strict End-to-End (E2E) peak latency guarantees. This paper addresses the challenge of reliably delivering packets within application-imposed deadlines by l…

Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
Wenxing Zhu, Hao Ai
https://arxiv.org/abs/2510.08126 https://

Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
Arranging many modules within a bounded domain without overlap, central to the Electronic Design Automation (EDA) of very large-scale integrated (VLSI) circuits, represents a broad class of discrete geometric optimization problems with physical constraints. This paper develops a variational and spectral framework for Poisson energy-based floorplanning and placement in physical design. We show that the Poisson energy, defined via a Neumann Poisson equation, is exactly the squared H^{-1} Sobolev …

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
Wen Guan, Tadashi Maeno, Aleksandr Alekseev, Fernando Harald Barreiro Megino, Kaushik De, Edward Karavakis, Alexei Klimentov, Tatiana Korchuganova, FaHui Lin, Paul Nilsson, Torre Wenaus, Zhaoyu Yang, Xin Zhao
https://arxiv.org/abs/2510.02930

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
The intelligent Distributed Dispatch and Scheduling (iDDS) service is a versatile workflow orchestration system designed for large-scale, distributed scientific computing. iDDS extends traditional workload and data management by integrating data-aware execution, conditional logic, and programmable workflows, enabling automation of complex and dynamic processing pipelines. Originally developed for the ATLAS experiment at the Large Hadron Collider, iDDS has evolved into an experiment-agnostic pla…

Modulation Discovery with Differentiable Digital Signal Processing
Christopher Mitcheltree, Hao Hao Tan, Joshua D. Reiss
https://arxiv.org/abs/2510.06204 https://

Modulation Discovery with Differentiable Digital Signal Processing
Modulations are a critical part of sound design and music production, enabling the creation of complex and evolving audio. Modern synthesizers provide envelopes, low frequency oscillators (LFOs), and more parameter automation tools that allow users to modulate the output with ease. However, determining the modulation signals used to create a sound is difficult, and existing sound-matching / parameter estimation systems are often uninterpretable black boxes or predict high-dimensional framewise …

Cybersecurity firm Deepwatch lays off dozens, citing move to “accelerate” AI investment
https://techcrunch.com/2025/11/12/cybersecurity-firm-deepwatch-lays-off-dozens-citing-move-to-accelerate-ai-investment/

Cybersecurity firm Deepwatch lays off dozens, citing move to "accelerate" AI investment | TechCrunch
Deepwatch’s CEO told TechCrunch that the layoffs allow the company to accelerate investments in “AI and automation.”

DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
Zahin Ibnat, Paul E. Calzada, Rasin Mohammed Ihtemam, Sujan Kumar Saha, Jingbo Zhou, Farimah Farahmandi, Mark Tehranipoor
https://arxiv.org/abs/2510.05327

DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
As large language models (LLMs) continue to be integrated into modern technology, there has been an increased push towards code generation applications, which also naturally extends to hardware design automation. LLM-based solutions for register transfer level (RTL) code generation for intellectual property (IP) designs have grown, especially with fine-tuned LLMs, prompt engineering, and agentic approaches becoming popular in literature. However, a gap has been exposed in these techniques, as t…

Power Distribution System Blackstart Restoration Using Renewable Energy
Wenlong Shi, Hongyi Li, Cong Bai, Zhaoyu Wang
https://arxiv.org/abs/2510.02495 https://

Power Distribution System Blackstart Restoration Using Renewable Energy
Integrating renewable energy sources into the grid not only reduces global carbon emissions, but also facilitates distribution system (DS) blackstart restoration. This process leverages renewable energy, inverters, situational awareness and distribution automation to initiate blackstart at the DS level, obtaining a fast response and bottom-up restoration. In this Review, we survey the latest technological advances for DS blackstart restoration using renewable energy. We first present mathematic…

U-Turn: Enhancing Incorrectness Analysis by Reversing Direction
Flavio Ascari, Roberto Bruni, Roberta Gori, Azalea Raad
https://arxiv.org/abs/2510.09292 https://

U-Turn: Enhancing Incorrectness Analysis by Reversing Direction
O'Hearn's Incorrectness Logic (IL) has sparked renewed interest in static analyses that aim to detect program errors rather than prove their absence, thereby avoiding false alarms -- a critical factor for practical adoption in industrial settings. As new incorrectness logics emerge to capture diverse error-related properties, a key question arises: can the combination of (in)correctness techniques enhance precision, expressiveness, automation, or scalability? Notable frameworks, such as outcome…

Hyro, whose AI agents let US health care organizations automate tasks like scheduling and prescription renewals, raised $45M, taking its total funding to $95M (Sophie Shulman/CTech)
https://www.calcalistech.com/ctechnews/article/rylcu6valg

Hyro secures $45 million to scale AI automation in US healthcare
The startup aims to ease staffing pressures and improve patient access by deploying AI agents across hospitals and health systems nationwide.

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu, Yunjia Xi, Yong Yu, Weinan Zhang
https://arxiv.org/abs/2510.09686

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Survey papers are foundational to the scholarly progress of research communities, offering structured overviews that guide both novices and experts across disciplines. However, the recent surge of AI-generated surveys, especially enabled by large language models (LLMs), has transformed this traditionally labor-intensive genre into a low-effort, high-volume output. While such automation lowers entry barriers, it also introduces a critical threat: the phenomenon we term the "survey paper DDoS att…

CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan \"O. Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
https://arxiv.org/abs/2510.03194

CoDA: Agentic Systems for Collaborative Data Visualization
Deep research has revolutionized data analysis, yet data scientists still devote substantial time to manually crafting visualizations, highlighting the need for robust automation from natural language queries. However, current systems struggle with complex datasets containing multiple files and iterative refinement. Existing approaches, including simple single- or multi-agent systems, often oversimplify the task, focusing on initial query parsing while failing to robustly manage data complexity…

Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
Viktor Koz\'ak, Jan Chudoba, Libor P\v{r}eu\v{c}il
https://arxiv.org/abs/2510.04840

Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
An accurate and up-to-date model of a photovoltaic (PV) power plant is essential for its optimal operation and maintenance. However, such a model may not be easily available. This work introduces a novel approach for PV power plant mapping based on aerial overview images. It enables the automation of the mapping process while removing the reliance on third-party data. The presented mapping method takes advantage of the structural layout of the power plants to achieve detailed modeling down to t…

Automation in quantum logic experiments with cold molecular ions
Richard Karl, Meissa Diouf, Aleksandr Shlykov, Mikolaj Roguski, Stefan Willitsch
https://arxiv.org/abs/2510.27582

What Types of Code Review Comments Do Developers Most Frequently Resolve?
Saul Goldman, Hong Yi Lin, Jirat Pasuksmit, Patanamon Thongtanunam, Kla Tantithamthavorn, Zhe Wang, Ray Zhang, Ali Behnaz, Fan Jiang, Michael Siers, Ryan Jiang, Mike Buller, Minwoo Jeong, Ming Wu
https://arxiv.org/abs/2510.05450

What Types of Code Review Comments Do Developers Most Frequently Resolve?
Large language model (LLM)-powered code review automation tools have been introduced to generate code review comments. However, not all generated comments will drive code changes. Understanding what types of generated review comments are likely to trigger code changes is crucial for identifying those that are actionable. In this paper, we set out to investigate (1) the types of review comments written by humans and LLMs, and (2) the types of generated comments that are most frequently resolved …

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
Suresh K. Damodaran, Paul D. Rowe
https://arxiv.org/abs/2510.06420 https://arxiv…

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
The emulation of multi-step attacks attributed to advanced persistent threats is valuable for training defenders and evaluating defense tools. In this paper, we discuss the numerous challenges and desired attributes associated with such automation. Additionally, we introduce the use of Effects Language (EL), a visual programming language with graph-based operational semantics, as a solution to address many of these challenges and requirements. We formally define the execution semantics of EL, a…

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
Dongrong Yang, Xin Wu, Yibo Xie, Xinyi Li, Qiuwen Wu, Jackie Wu, Yang Sheng
https://arxiv.org/abs/2510.11754

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
Radiation therapy treatment planning is an iterative, expertise-dependent process, and the growing burden of cancer cases has made reliance on manual planning increasingly unsustainable, underscoring the need for automation. In this study, we propose a workflow that leverages a large language model (LLM)-based agent to navigate inverse treatment planning for intensity-modulated radiation therapy (IMRT). The LLM agent was implemented to directly interact with a clinical treatment planning system…

Calibrated Dynamic Modeling for Force and Payload Estimation in Hydraulic Machinery
Lennart Werner, Pol Eyschen, Sean Costello, Pierluigi Micarelli, Marco Hutter
https://arxiv.org/abs/2510.11574

Calibrated Dynamic Modeling for Force and Payload Estimation in Hydraulic Machinery
Accurate real-time estimation of end effector interaction forces in hydraulic excavators is a key enabler for advanced automation in heavy machinery. Accurate knowledge of these forces allows improved, precise grading and digging maneuvers. To address these challenges, we introduce a high-accuracy, retrofittable 2D force- and payload estimation algorithm that does not impose additional requirements on the operator regarding trajectory, acceleration or the use of the slew joint. The approach is …

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
Andr\'e Coelho, Pedro Ribeiro, Helder Fontes, Rui Campos
https://arxiv.org/abs/2510.03829 https://

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
This position paper presents A4FN, an Agentic Artificial Intelligence (AI) architecture for intent-driven automation in Flying Networks (FNs) using Unmanned Aerial Vehicles (UAVs) as access nodes. A4FN leverages Generative AI and Large Language Models (LLMs) to enable real-time, context-aware network control via a distributed agentic system. It comprises two components: the Perception Agent (PA), which semantically interprets multimodal input -- including imagery, audio, and telemetry data -- f…

DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
Rohan Kadekodi, Zhan Jin, Keisuke Kamahori, Yile Gu, Sean Khatiri, Noah H. Bayindirli, Sergey Gorbunov, Baris Kasikci
https://arxiv.org/abs/2510.00229

DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems
The deployment of Large Language Models (LLMs) as agentic orchestrators has revolutionized task automation, but the need for privacy-preserving, cost-effective solutions demands on-device inference capabilities. However, local LLMs consistently underperform compared to frontier models in tool calling scenarios, struggling with both tool selection from large tool sets and accurate argument generation for complex parameter structures. We introduce a methodology that disaggregates a tool-calling t…

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Mattia Samory, Diana Pamfile, Andrew To, Shruti Phadke
https://arxiv.org/abs/2510.06350

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Online communities rely on a mix of platform policies and community-authored rules to define acceptable behavior and maintain order. However, these rules vary widely across communities, evolve over time, and are enforced inconsistently, posing challenges for transparency, governance, and automation. In this paper, we model the relationship between rules and their enforcement at scale, introducing ModQ, a novel question-answering framework for rule-sensitive content moderation. Unlike prior clas…

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer, Bingqing Chen, Guannan Qu, Kevin J. Kircher, Mario Berg\'es
https://arxiv.org/abs/2510.01475

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Advanced control strategies like Model Predictive Control (MPC) offer significant energy savings for HVAC systems but often require substantial engineering effort, limiting scalability. Reinforcement Learning (RL) promises greater automation and adaptability, yet its practical application in real-world residential settings remains largely undemonstrated, facing challenges related to safety, interpretability, and sample efficiency. To investigate these practical issues, we performed a direct com…

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
Noah Barnes, Ji Woong Kim, Lingyun Di, Hannah Qu, Anuruddha Bhattacharjee, Miroslaw Janowski, Dheeraj Gandhi, Bailey Felix, Shaopeng Jiang, Olivia Young, Mark Fuge, Ryan D. Sochol, Jeremy D. Brown, Axel Krieger
https://arxiv.org/abs/2510.09497

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
In endovascular surgery, endovascular interventionists push a thin tube called a catheter, guided by a thin wire to a treatment site inside the patient's blood vessels to treat various conditions such as blood clots, aneurysms, and malformations. Guidewires with robotic tips can enhance maneuverability, but they present challenges in modeling and control. Automation of soft robotic guidewire navigation has the potential to overcome these challenges, increasing the precision and safety of endova…

Cobots, or robots that collaborate with humans, are bringing automation to even the smallest US factories, amid a push to bring manufacturing back to the US (Christopher Mims/Wall Street Journal)
https://www.wsj.com/bus…

Scribe, which helps enterprises identify where AI and automation investments will yield genuine returns, raised a $75M Series C at a $1.3B post-money valuation (Jagmeet Singh/TechCrunch)
https://techcrunch.com/2025/11/10/scribe…

Scribe hits $1.3B valuation as it moves to show where AI will actually pay off | TechCrunch
Scribe Optimize is the startup's next major offering to help organizations identify where AI will be most useful.

Learning to Lead Themselves: Agentic AI in MAS using MARL
Ansh Kamthan
https://arxiv.org/abs/2510.00022 https://arxiv.org/pdf/2510.00022

Learning to Lead Themselves: Agentic AI in MAS using MARL
As autonomous systems move from prototypes to real deployments, the ability of multiple agents to make decentralized, cooperative decisions becomes a core requirement. This paper examines how agentic artificial intelligence, agents that act independently, adaptively and proactively can improve task allocation and coordination in multi-agent systems, with primary emphasis on drone delivery and secondary relevance to warehouse automation. We formulate the problem in a cooperative multi-agent rein…

Serval, which offers an AI-powered IT support assistant, raised a $75M Series B led by Sequoia at a $1B valuation, bringing its total raised to $127M (Reuters)
https://www.reuters.com/technology/ai-startup-serval-…

Towards Autonomous Tape Handling for Robotic Wound Redressing
Xiao Liang, Lu Shen, Peihan Zhang, Soofiyan Atar, Florian Richter, Michael Yip
https://arxiv.org/abs/2510.06127 htt…

Towards Autonomous Tape Handling for Robotic Wound Redressing
Chronic wounds, such as diabetic, pressure, and venous ulcers, affect over 6.5 million patients in the United States alone and generate an annual cost exceeding \$25 billion. Despite this burden, chronic wound care remains a routine yet manual process performed exclusively by trained clinicians due to its critical safety demands. We envision a future in which robotics and automation support wound care to lower costs and enhance patient outcomes. This paper introduces an autonomous framework for…

Q&A with Square product chief Willem Avé on Block's restructuring in 2024, AI automation, investing in crypto, the Lightning Network, and more (Nilay Patel/The Verge)
https://www.theverge.com/podcast/839062/square-product-ch…

Square’s product chief on the death of the penny and the future of money
Square’s Willem Avé thinks AI is the most exciting technology shift in two decades. Here’s what he thinks it will do for fintech.

Giga, which develops voice-based AI agents for customer support, raised a $61M Series A led by Redpoint with participation from Y Combinator and Nexus (Beatrice Nolan/Fortune)
https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-serv…

Exclusive: Voice AI startup Giga raises $61 million to take on customer service automation
Voice AI has the potential to streamline a lot of businesses' customer service tasks, such as answering routine customer questions or scheduling appointments, without a human agent needing to step in.

Google launches Workspace Studio, a no-code tool to create, design, manage, and share AI agents, for users on Business and Enterprise Workspace plans (Abner Li/9to5Google)
https://9to5google.com/2025/12/03/google-workspace-studio/

Google launches Workspace Studio to create automated Gemini-powered agents 
After teasing at I/O 2024 and announcing this April, Google today is launching Workspace Studio as a new automation tool that lets...