aaron ~# 
#Automating the installation of #ArchLinux was as easy as expected. Since the #arch installation media has an #ssh server installed, i can just copy the user_configuration.json and user_credentials.json and call archinstall with the --silent parameter like this archinstall --silent --config /root/user_configuration.json --creds /root/user_credentials.json.
Hacker NewsRobin: A multi-agent system for automating scientific discovery
https://arxiv.org/abs/2505.13400
#HackerNews #Robin #Multi-Agent #System #Automating #Discovery #Scientific #Research
Robin: A multi-agent system for automating scientific discovery
Scientific discovery is driven by the iterative process of background research, hypothesis generation, experimentation, and data analysis. Despite recent advancements in applying artificial intelligence to scientific discovery, no system has yet automated all of these stages in a single workflow. Here, we introduce Robin, the first multi-agent system capable of fully automating the key intellectual steps of the scientific process. By integrating literature search agents with data analysis agents, Robin can generate hypotheses, propose experiments, interpret experimental results, and generate updated hypotheses, achieving a semi-autonomous approach to scientific discovery. By applying this system, we were able to identify a novel treatment for dry age-related macular degeneration (dAMD), the major cause of blindness in the developed world. Robin proposed enhancing retinal pigment epithelium phagocytosis as a therapeutic strategy, and identified and validated a promising therapeutic candidate, ripasudil. Ripasudil is a clinically-used rho kinase (ROCK) inhibitor that has never previously been proposed for treating dAMD. To elucidate the mechanism of ripasudil-induced upregulation of phagocytosis, Robin then proposed and analyzed a follow-up RNA-seq experiment, which revealed upregulation of ABCA1, a critical lipid efflux pump and possible novel target. All hypotheses, experimental plans, data analyses, and data figures in the main text of this report were produced by Robin. As the first AI system to autonomously discover and validate a novel therapeutic candidate within an iterative lab-in-the-loop framework, Robin establishes a new paradigm for AI-driven scientific discovery.
Paper2Code: Automating Code Generation from Scientific Papers
https://arxiv.org/abs/2504.17192
#HackerNews #Paper2Code #Automating #Code #Generation #ScientificPapers #AIinResearch
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Despite the rapid growth of machine learning research, corresponding code implementations are often unavailable, making it slow and labor-intensive for researchers to reproduce results and build upon prior work. In the meantime, recent Large Language Models (LLMs) excel at understanding scientific documents and generating high-quality code. Inspired by this, we introduce PaperCoder, a multi-agent LLM framework that transforms machine learning papers into functional code repositories. PaperCoder operates in three stages: planning, where it constructs a high-level roadmap, designs the system architecture with diagrams, identifies file dependencies, and generates configuration files; analysis, which focuses on interpreting implementation-specific details; and generation, where modular, dependency-aware code is produced. Moreover, each phase is instantiated through a set of specialized agents designed to collaborate effectively across the pipeline. We then evaluate PaperCoder on generating code implementations from machine learning papers based on both model-based and human evaluations, particularly from the authors of those papers, with author-released repositories as ground truth if available. Our results demonstrate the effectiveness of PaperCoder in creating high-quality, faithful implementations. Furthermore, it consistently shows strengths in the recently released PaperBench benchmark, surpassing strong baselines by substantial margins. Code is available at: https://github.com/going-doer/Paper2Code.
Automating Interactive Fiction Logic Generation with LLMs in Emacs
https://blog.tendollaradventure.com/automating-story-logic-with-llms/
#HackerNews #Automating #Interactive #Fiction #Logic #Generation #LLMs #Emacs #Storytelling
brandon@xris @darwin i’d love to know if you find something out! i’m currently looking into #selfhosting and instance of #peertube and hopefully #automating it to download my youtube subscription feed. plus, with Loops coming out soon i think there’s room for a lot more #videocontent on the #fediverse
Merlin BögershausenGood morning #java and #hibernate #community 👋,
ever wanted to start automating your #migrations🤖? - Start with #automating
Hibernate 6.6 migration and @openrewrite recipe development here github.com/https://github.com/openrewrite/rewrite-hibernate/issues/49
We are happy to help and merge!
CM Thiede@lproven @theregister as much as I love the #freedom and #autonomy of #linux it's definitely a #purest #technically #adept approach to self #digitization
The majority of people I've worked with want nothing to do with knowing how anything works. They just want their computer to auto-load all their bents like #magic , be able to access anything on the #Network without getting permission and install any #app on their #device they choose.
#Government , #libraries especially, need to untether from #broZone #architecture and do things for themselves again.
I'm not a #statistician and only have #anecdotal #evidence to go by, but I don't see a whole lotta folks doing, or even wanting, to do things themselves. Let alone, pick up the #skills required to do so.
The worst part, the people actually willing and able to help, can't afford to, because it doesn't #pay well, enough.
So, we all have to figure out a way to fix "that" first. But, that would require everyone believing doing #work themselves is better for them and the #Earth in the long run rather than #automating each and every #human #interaction out of #existence
#MuzakLessons #Automation Don't lose your #touch make them #visible and #purposeful each time; every #time
Genesis - Invisible Touch (Official Music Video)
penworks OLD ACCOUNT
Hunt & Hackett2️⃣ At Hunt & Hackett, we’re not just responding to these threats – we’re actively improving our defenses. Our participation in the SANS Digital Forensics and Incident Response Summit & Training highlights our dedication to staying ahead of cybercriminals. Our CERT team will discuss how #automating incident response processes can significantly enhance our ability to combat ransomware attacks swiftly and efficiently.
Hacker NewsAdvanced Shell Scripting Techniques: Automating Complex Tasks with Bash
https://omid.dev/2024/06/19/advanced-shell-scripting-techniques-automating-complex-tasks-with-bash/
#ycombinator #Bash #Linux #CLI #Automating #Scripting
https://omid.dev/2024/06/19/advanced-shell-scripting-techniques-automating-complex-tasks-with-bash/
#ycombinator #Bash #Linux #CLI #Automating #Scripting
Advanced Shell Scripting Techniques: Automating Complex Tasks with Bash
Bash scripting, a cornerstone of Unix and Linux system administration, offers powerful tools to automate repetitive tasks, streamline workflows, and handle complex operations. For those already comfortable with basic scripting, diving into advanced techniques can unlock new levels of efficiency and capability. This post will explore advanced shell scripting techniques in Bash, focusing on script optimization, robust error handling, and automating complex system administration tasks. Script Optimization Optimization is crucial for ensuring that your scripts run efficiently, especially when dealing with large datasets or intensive tasks.