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Forget Coders. The Real A.I. Threat Is in the Back Office.
As artificial intelligence spreads, millions of middle-class jobs in human resources, billing and payroll could be at risk. Most are held by women.
Forget Coders. The Real A.I. Threat Is in the Back Office.
As artificial intelligence spreads, millions of middle-class jobs in human resources, billing and payroll could be at risk. Most are held by women.
Fed up with vibe coders, dev sneaks data-nuking prompt injection into their code
A developer has introduced a prompt injection attack into an open-source Java testing application called jqwik. This hidden instruction, added to version 1.10.0, commands AI coding agents to disregard prior instructions and delete all associated tests and code. The action is a response to frustration with "vibe coding" practices by AI agents.
When Better Codebooks Are Not Enough: Predictive Performance and Behavioral Reliability in LLM Political Event Coding
Announce Type: new Abstract: High accuracy does not necessarily make an LLM a faithful coder. This issue matters because many social-science studies rely on expert-written codebooks to turn text into structured data. We study this problem in political event coding, a challenging source-target relation classification task beyond ordinary sentence-level classification, where models must determine what one actor did to another using detailed coding rules.
PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning
Announce Type: new Abstract: We present PDE-Agents, a multi-agent ecosystem that automates the full lifecycle of partial differential equation (PDE) / finite element method (FEM) simulations through natural-language interaction. Three specialist large language model (LLM) agents (Simulation, Analytics, Database) are orchestrated via a LangGraph supervisor, with a local open-source LLM stack (Qwen3-Coder-Next, Llama 4 Scout) on dual NVIDIA RTX PRO 6000 GPUs. The architecture is...
Hostinger Promo Code: 79% Off for June 2026
As I expand my writing career, it’s becoming increasingly apparent that I need to make a business website to showcase my talent and present my past projects. The problem is, although I love testing gadgets for WIRED, I’m definitely not a coder. Figuring out where to begin when building a website is daunting.
Benchmarking Local LLMs for Natural-Language-to-SQL Querying in Biopharmaceutical Manufacturing: An Empirical Benchmark on Consumer-Grade Hardware
arXiv:2606.01338v1 Announce Type: new Abstract: Biopharmaceutical manufacturing organizations operate under regulatory frameworks such as FDA guidance, EU Good Manufacturing Practice (GMP), and the EU AI Act, which can restrict the use of cloud-based artificial intelligence systems. Locally deployed large language models (LLMs) offer a privacy-preserving alternative, but their suitability for pharmaceutical manufacturing tasks remains underexplored. This study evaluates four open-source LLMs...
Is Python Becoming Pinyin?
I just got back from PyCon US. It was delightful; I saw old friends, met new ones, gave a tutorial on decorators, and spoke at the education summit. I’m a PyCon US sponsor, which means that I also had a booth, giving out T-shirts, books, stickers, and flyers about the LernerPython platform.
STC: Reversible Digit-Context Decomposition for BWT-Family Text Compression
arXiv:2606.03570v2 Announce Type: replace Abstract: Burrows-Wheeler-transform-based compressors rely on local context regularity, but structured text also contains dates, counters, identifiers, coordinates, and other digit runs whose values vary differently from their surrounding tokens. STC is a practical BWT-family compressor that separates this source of variation before the component BWT stage. It replaces digit runs in the main stream with an unambiguous placeholder and stores the...
STC: Reversible Digit-Context Decomposition for BWT-Family Text Compression
Announce Type: new Abstract: Burrows-Wheeler-transform-based compressors rely on local context regularity, but structured text also contains dates, counters, identifiers, coordinates, and other digit runs whose values vary differently from their surrounding tokens. STC is a practical BWT-family compressor that separates this source of variation before the component BWT stage. It replaces digit runs in the main stream with an unambiguous placeholder and stores the removed digits in length-...