AI Intelligence Archive

Complex documents such as scientific papers contain rich information in tables, figures, and equations; however, existing deep research (DR) agents typically reduce papers to OCR-extracted text. We instead ask whether vision-language model…

Theoretical limitations of transformers on state tracking---the ability to track information about entities or variables over long contexts---have motivated new recurrent language modeling (LM) architectures such as Gated DeltaNet (GDN). T…

Claim verification is the task of deciding whether a source text supports a claim, contradicts it, or lacks sufficient evidence. Natural Language Inference (NLI) models can judge whether a single sentence supports or contradicts a claim, b…

AI coding agents are increasing the volume and speed of software changes. This practical guide explains how to redesign CI feedback loops so agents can work faster without sacrificing review and safety.

Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to invest substantial effort in specifying goals, resolving ambiguity, and verifying outcomes. We argue that progress shou…

While Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced multimodal reasoning, existing frameworks suffer from a critical "perception-reasoning gap." Due to an over-reliance on seemingly relevant visual tokens…

You add an AI feature to your support tool. It reads each incoming ticket, writes a summary, and can...

Last week I argued my cost tool should ship with an empty price book. Seven people told me how to make that less painful. Here is what I'm taking, and the one idea I'm saying no to.

Large language model (LLM) embeddings have been increasingly adopted in sequential recommendation to encode static item attributes and alleviate the limitations of item ID embeddings under sparse interactions. However, these embeddings typ…

You can't describe your own writing style. But you recognise it in a split second. How twelve messages on a table taught an AI agent to write to people in my voice.

This is the fourth series of the production LLM Systems and RAG of Vicquant. Step 1 was fixing the...

Google’s Q3 2026 earnings call offered a clearer view of how the company sees Search evolving: less...

I can tell you my AI bill to the cent. Ask me which tool call caused it and I used to shrug. Last...

Your agent just booked a flight, reserved a hotel, and drafted the itinerary email. Then it crashed...

How I built a language model from scratch on free GPUs: a measured register-conditioning idea, a dated lexicon and annotator, a lease-based training relay, a verified model stack, and a register error

I once watched a centralized orchestrator spend more time coordinating than producing. Fifty agents,...

LWON is JSON with the keys written once. Benchmarks against JSON and TOON, accuracy evals on Claude, and an MCP proxy that applies it to any server.

Three bugs that cost me a day building an ERC-721 + Seaport listing pipeline in Python.

A 7.72 TB repo billed as an Anthropic Mythos checkpoint: every audited tensor regenerates from its name. Its README asks you to run its Python.

You corrected the AI yesterday. Today, it made the exact same mistake again. Maybe it used an...

If you run an agent unattended for long enough, you will meet the loop. It does not crash. It does...

My desktop companion remembers things about me. That is the whole point of it — until it remembers...

Keep the Gate, Downgrade the Recursion Eight days of a first online A/B, and store-level...

The Newspaper of One: Inside a Lights-Out Publishing System For most of publishing...

Step Functions agent tools: how AI agents call workflows via MCP through AgentCore Gateway – with a CDK stack, SigV4 test script and clear security rules.

"Just ask the database in plain English" is one of the most useful things an AI agent can do. A sales...

A hands-on field guide to the main families of prompt-injection attacks, each with a short example and the specific defense that counters it.

Architecting Deterministic Safety Gates for Agentic Workflows TLDR: The moment you let...

GitHub is a great place to learn AI. You can find much more than just code. There are roadmaps,...

Your coding agent says the code is faster. Put both commits in worktrees, time them with hyperfine and benchstat, and read the p-value before you land.

A tested setup guide for spin-that-dice, the Spotify party dice: roll from the 305-track starter crate first, then add your own app or music server.

Illustrated Chief workflow from the asklog film. I kept opening another coding-agent terminal and...

"All tests pass." If you use an AI coding agent, you've probably read that sentence several times...

AI made building cheap, so nothing forces developers to choose anymore. Three rules that stop fast output from becoming a longer to-do list.

Hi! I am Ricardo Sueiras, leading SDLC transformation at Indicium AI. That means I get to work with...

Why Senior Engineers Are the True Targets of 'The AI Layoff Trap' There is an ironic...

I wanted to know why AI coding agents get expensive on real codebases, so I stopped guessing and...

agent_summary asks the agent's own model to label its last action in 3-5 words. How the timer works, how to measure its share, and why the numbers disagree.

An agent with write tools is coordinating distributed transactions over an unreliable network, and...

From DevOps to AI Platform Engineering — Part 1 I'm a DevOps engineer. I've spent years running...