AI Intelligence Archive

How a single AGENTS.md or CLAUDE.md file in your Downloads folder or a pull request can silently hijack your AI coding agent, steal OAuth tokens, and execute shell commands—plus how to lock down your local workflow.

I got tired of the same loop: copy a stack trace, paste it into a chat window(chat gpt), paste the...

Built for Flip the Switch by WeMakeDevs, on Switch. #FlipTheSwitch #HowISwitch It's 10:35 on a...

GA4 referral reports can make AI-assisted discovery look negligible. New analyses summarized by Marie...

Other professions worked out what a signature has to mean. We're about to need their answer. A few...

If you've built an AI agent that uses web search, you've probably run into this. You ask it a simple...

"Rewrite these two bars, then let me hear them." That is a reasonable request to make while working...

Handling webhooks at scale presents a unique set of engineering challenges. When a third-party...

The FDE Mindset Shift: From Code Craftsmanship to Organizational Rewiring TLDR: The...

Construct an external security gateway in Flask to inspect incoming prompts, enforce guardrails, and...

Every codebase has rules nobody wrote down. One package always checks rows.Err() after iterating....

TL;DR LLMJacking is the theft of access to a commercial language model, through a cloud...

Originally published on the Cloud ex Machina engineering blog. We run our AI coding agents on a...

Originally published at cchinchilla.dev. Part 10 of From code to weights, a 12-part series on ML...

AI coding only started paying off for my team when we stopped treating it as a tool everyone uses...

Three weeks ago I started a desktop app. Since then: 169 commits, about 48,000 lines in src/, and I...

Every Claude Code user has the same file, and nobody reads it. settings.json accumulates permission...

Arguments about which AI coding CLI is "best" usually rest on vibes or on synthetic leaderboards. So...

If you design board games, you know the problem. A bad rule can hide for months, because getting...

The exponential growth of textual and audiovisual information has made the task of automatic keyphrase extraction (KE) increasingly significant. This article provides a comprehensive analysis of contemporary theoretical approaches and prac…

It is well established that molecular substructures can contribute unequally to chemical and physical properties, with specific motifs or side chains often playing dominant roles. Fragment-based representations have therefore emerged as an…

Model compression can facilitate the deployment of large language models in resource-constrained legal settings, but its effects on domain-specific performance may depend on the evaluation protocol. We investigate this issue using ArabLega…

Language-generating AI systems are no longer only objects of linguistic interaction: their outputs increasingly re-enter the communicative and institutional practices from which their training material was drawn. Drawing on social theory, …

Intent-based networking (IBN) promises QoS provisioning in which the network derives the configuration from operator-stated goals. Its first step, translating a natural-language intent into enforceable service-level objectives (SLOs) groun…

DeepSearch LLM agents repeatedly search and carry retrieved sources into subsequent reasoning steps. This expanding context increases token consumption and latency, although many results do not contribute to later reasoning. We propose Que…

Schoots et al.~\citep{schoots2025relating} (AISTATS 2025) established a generally loose upper bound on the number of linear regions of continuous piecewise-linear (CPWL) Kolmogorov--Arnold networks (KANs), without providing a lower bound. …

Can large language models (LLMs) advance theoretical computer science and resolve its long-standing open conjectures? To study progress toward this goal, we introduce TCSExam, a unified framework and benchmark covering the full range of TC…

On-policy distillation trains a student on its own rollouts, so states the teacher would reach but the student does not are seldom supervised. We introduce CoRD (coupled-rollout distillation), which keeps the on-policy loss and moves only …

Part 1 of a multi-part series on WebMCP, browser agents, and web platform security. By Damisile...

In a long Claude Code session, most of what gets sent to the API isn't your prompts. It's tool...

Frontier artificial intelligence (AI) systems are increasingly operating over longer horizons with diminishing human oversight, raising the risk of loss of control: systems acting beyond effective human control with potentially irreversibl…

Learned representations show striking invariance across biological and artificial neural networks, with different substrates and variations driven by drift, heterogeneity and initialisation. To understand this invariance, we propose Emerge…

Benchmarks of class-imbalance strategies for multimodal chest X-ray (CXR) and electronic health record (EHR) prediction are often evaluated on record-level splits of cohorts in which one patient contributes several radiographs. We audit su…

Keyword retrieval returns expressions of personal anxiety together with many other uses of anxiety-related language. We present a benchmark of 1,000 Arabic Twitter/X posts retrieved with the keyword qalaq ("anxiety/worry") and annotated fo…

As large language models (LLMs) are increasingly deployed in real-world applications, evaluating the correctness of their responses is crucial for reliable use. However, such evaluation is challenging because reference answers are rarely a…

ChemE-as-Code provides an open-source environment in which AI agents built on large language models (LLMs) can carry out chemical engineering work and engineers can check it. Its calculation tools range from catalysis through process simul…

tok is a plain-text notation for Business Process Model and Notation (BPMN) 2.0.2 process models and Decision Model and Notation (DMN) 1.5 decisions. One engine checks a tok document against both standards, compiles the document to XML wit…

Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain concentrated in English, and no existing benchmark is card…

Functional data analysis provides a framework for studying time-varying associations between covariates and high-frequency biological signals. In digital health, participants often contribute repeated functional trajectories, yet existing …

The growing adoption of digital pathology has rapidly expanded collections of hematoxylin-and-eosin whole-slide images, yet efficient navigation through these archives remains challenging, as metadata is often inconsistent or unavailable. …