AI Intelligence Archive

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange. What...

Les agents IA ne se contentent plus de répondre à une question. Certains travaillent en fond: un...

In April I wrote about a system I built on Claude Code that takes an epic to PR-ready code across...

A gente vai sofrer uma revolução muito rápida. Os agentes pessoais já estão no caminho: Dots, Grok...

Our lifecycle now has one explicit transition table. For a valid order, it tells us: The operations...

In my ticket tracker an agent's status is never stored as alive or dead. The orchestrator beats once a minute, and every screen works out the dot from

AI coding agents are getting very good at navigating repositories. Ask an agent: "Where is the API...

Android UI Renderer MCP is a local MCP server that lets a coding agent render Android UI without an...

TL;DR My fully autonomous implementation system kept making the same handful of mistakes...

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real...

If you use an AI coding agent every day, you have probably noticed how much of its output is padding....

In the last piece of my v0.1.0 series I wrote a sentence I was proud of and not yet entitled to:...

I watched a research pipeline die at step nine of ten. Forty-three minutes of work, sixty sources...

Hacktoberfest 2026 has no pull request quota, and I think that frees you to do the kind of open...

I've seen beautifully organized code that was difficult to understand. I've also seen ugly-looking...

Uncertainty quantification (UQ) for random partial differential equations (PDEs) is ubiquitous in computational science and engineering. However, classical spectral solvers for this class of problems face the curse of dimensionality, and e…

Complex reasoning queries can be decomposed into directed acyclic task graphs and distributed across heterogeneous LLMs, reducing latency through parallelism and enabling smaller models to solve complex tasks. In practice, however, the sui…

If you have ever tried to export a ChatGPT conversation to Markdown, or save a Claude chat as a .md...

Lung ultrasound (LUS) is attractive for tuberculosis (TB) screening at primary-care level, but labelled cohorts are small. Echocardiography carries no such constraint, while sharing the same underlying ultrasound imaging physics, signal pr…

Multimodal Large Language Models (MLLMs) achieve strong performance across vision-language tasks, yet the internal mechanisms by which visual and textual information are fused across layers remain insufficiently understood. We investigate …

As the Machine Learning Engineering Manager at an AI-powered SaaS company, I get a front-row seat to...

Reinforcement learning (RL) for learning path recommendation (LPR) faces two coupled obstacles. First, the policy must commit to a sequence of L concepts without intermediate feedback, producing a combinatorial search space that grows supe…

"Task completed successfully." That's the most common lie in agent systems. Usually the agent isn't...

Touché 2026 extends causality extraction to counter-causal claims: news sentences whose surface form appears causal but whose meaning denies the causation, as in "It is falsely believed that X caused Y." A system that relies on surface cue…

I’ve been a backend dev for about four years, and lately, I feel like I'm attending the funeral of my...

Large-scale pre-training has improved the generalization of neural operators across diverse PDEs. However, existing PDE foundation models still struggle with heterogeneous dynamics, where shared representations may cause knowledge interfer…

I work on proxy infrastructure, which means I read a lot of proxy errors. And I kept noticing the...

Solving severely ill-posed imaging inverse problems requires recovering image structures that are unobservable or weakly constrained by the measurements. Diffusion models provide expressive learned priors for inferring such missing informa…

We release PaMIR (Public Arrival-ordered Measurement for Inference in Risk), an open benchmark for credit-default prediction when labels are scarce and arrive late. The field's reference benchmark studies use eight datasets each, only two …

Scalable nonlinear causal discovery requires methods that combine flexible mechanism estimators with efficient search over large graph spaces. Several algorithmic families have been proposed to address this challenge, yet their accuracy-ru…

Coding agents write their own session transcripts to disk. Where Claude Code, Codex and OpenCode keep those files, and how to find the session that belongs to your task.

We present a first evaluation of machine learning applied to patient clinical and demographic data gathered in two different countries for the purpose of tuberculosis (TB) screening to identify people who would benefit from expensive molec…

A model trained on "The capital of X is Y" may produce "Y" after "The capital of X is" but fail after "The capital of X:". We call these different ways of eliciting the same fact request forms. To separate learning a fact from retrieving i…

I have three daughters. The oldest is four, the twins are two. None of them can read yet, and every...

There was a point while building Security Lens when I realized I was fixing problems faster than I...

Large language models (LLMs) are increasingly deployed in public health, finance, and governance, requiring both accuracy and societal value alignment. Despite recent advances, LLMs often perpetuate or amplify bias embedded in their traini…

We present WAMpy, a Python framework optimized for synthesizing Prolog programs. Unlike general-purpose Prolog systems, WAMpy targets workloads that repeatedly generate and evaluate small candidate programs. WAMpy compiles Prolog clauses i…

GPU kernels generated by large language model (LLM) agents can remain less efficient than expert implementations, but runtime alone does not reveal how the gap relates to design discovery and implementation. We introduce D2K-Bench, a diagn…

We present the Neuro-Physical Inverter (NPI), a modular, uncertainty-aware framework for geophysical inversion that couples ensemble-based conditioning with constrained residual learning, demonstrated in the 1D magnetotelluric (MT) setting…

Diffusion models can synthesise contrast-enhanced CT (CECT) from non-contrast CT (NCCT), avoiding contrast administration and its environmental and patient-access costs. However, visually realistic images are not necessarily anatomically c…