AI Intelligence Archive

Interpretable machine learning for Large Language Models (LLMs) increasingly relies on sparse probing methods that identify small sets of neurons claimed to detect and causally influence behaviors such as factuality recall, safety alignmen…

Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added to the beginning of the LLM's response, i.e., an output prefix, then all subsequent tokens will be conditioned on it. This output-prefi…

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked AI models...

Auxiliary learning is an optimization paradigm in which a neural network's performance on a target task is improved by jointly training it on additional tasks. However, the mechanisms behind this improvement remain poorly understood. We st…

Many real-world tasks (e.g., office workflows, scientific experimentation) require LLM agents to interact repeatedly with their environments for context-dependent operations. However, such environments are often not agent-ready. First, inf…

Radar nowcasting is essential for short-term warning and emergency response, yet conventional systems mainly return future radar fields and provide limited support for operational communication and post-event verification. We formulate rad…

We ask whether Jev, a typed classifier that returns probabilities over permitted answers without generating text, can replace an LLM rubric judge. We compare it with three flash-tier LLM judges on nine panels drawn from seven benchmarks, g…

Cross-speaker acoustic-to-articulatory inversion requires accounting for anatomical differences between speakers. We propose a geometric adaptation framework that uses anatomical landmarks, primarily on vertebrae and dental structures,to t…

How phenotypic transformations are implemented by changes in underlying regulatory dynamics remains a central question in developmental biology. Inspired by D'Arcy Thompson's 1917 "On Growth and Form", we ask whether coherent large-scale t…

Originally published at cchinchilla.dev. Part 3 of From code to weights, a 12-part series on ML...

We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool built entirely by Claude AI, with no human-authored code or tests, (ii) two code-provenance tracing tools, (iii) three taxonomies for ins…

Objective: Heart failure (HF) presents a healthcare challenge due to its high comorbidity burden, aging patient population and frequent hospitalizations. Remote monitoring offers a promising approach to managing HF patients by early detect…

Ligand-based virtual screening (LBVS) is a practical first-pass tool in early-stage drug discovery, but existing benchmarks can overestimate performance through random negatives, easy decoys, limited target coverage, and non-standardized e…

Long-horizon tasks require preserving and later recovering cross-session evidence under a bounded, query-blind memory budget. Existing compression can discard fine-grained visual cues or conflate semantically similar but incompatible obser…

Arabic-language stance detection remains challenging, and previous shared-task systems have largely relied on multitask learning and ensembles. While these systems achieve state-of-the-art performance, their applicability and transferabili…

A technical deep dive into apowerb, the open-source AI agent runtime by [thaink²](https://thaink2.com/opensource) database-materialized agents, RAG, Text-to-SQL, event-driven execution, and how it compares to LangGraph, CrewAI and n8n.

How we built an evidence-driven, uncertainty-aware fraud investigation agent using TigerGraph, GraphRAG, deterministic planning, policy governance, and Next Best Action.

You've been there. You run the eval, the number comes back, and something about it doesn't sit...

Every tech stack today is legally required to have an "AI-powered" badge. Go-to project management...

Introduction Learn how to build an invoice verification app with ToolJet MCP for an...

On 2026-07-28, Google's deprecation page listed October 16, 2026 as the shutdown date...

Since early September, every public page of our website has had a Markdown twin, reachable by header...

Updated 3D Environment for Library Reading DEV Articles A lot of you...

In July 2025, researchers found manuscripts on arXiv with instructions such as "give a positive...

This is a submission for the Sanity Challenge: Ship an agent that queries real content. Every help...

Back in 1988, a compiler running on a commercial timesharing system had permission to write to a...

The UI: An example output: # Project...

Five payloads real MCP clients send, captured at a reference MCP server over stdio — including one that gets no response at all.

Ever find yourself working when you shouldnt be? I know I do... Infact, I'm supposed to be a jobless...

Every project I have worked on eventually needed a second language for some text stored in the...

An agent can remember an API that no longer matches the project in front of it. Giving it...

How I built an evidence-driven fraud investigation system combining TigerGraph, agentic workflows,...

A writing agent can produce a fluent paragraph and still choose the wrong spelling convention. A word...

Task #4 · TigerGraph problem statement · Hacker House Goa 2026 A risk score pings. Is it fraud, a...

AI agents are becoming more useful than ever; they’re now doing more than just generating text. They...

I got a lot of feedback on my post AI-assisted genealogy, some good, some not so good. In any case, I...

This is a condensed version. The full write-up — every snippet, the availability and failure paths,...

We replayed 288 questions to an ops assistant through a semantic cache. At a similarity threshold of...

How we combined a temporal knowledge graph, GraphRAG, agentic investigation, and deterministic policy...

Modern LLMs struggle with recent software releases, live news, and undocumented breaking changes....