AI Intelligence Archive

We study body-only, 12-class acted-emotion classification from skeleton motion under leave-performer-out (LPO) evaluation, a hard, underdetermined setting: chance is 8.3%, and a protocol-matched reproduced STGCN++ baseline reaches only 25.…

Test-Time Adaptation (TTA) has recently emerged as a promising strategy that allows the adaptation of pre-trained models to changing data distributions at deployment time, without access to any labels. To mitigate error accumulation, resea…

For the last month, every AI coding session on this machine ran under grith, which intercepts every...

Text-to-image (T2I) models have achieved remarkable success at faithfully rendering specified objects and attributes, yet their ability to produce visual metaphors, images that convey abstract ideas by combining elements from two distinct …

Recommender-system experiments often rely on a single random training seed, assuming that run-to-run stochasticity has limited impact on evaluation conclusions. This assumption is risky, as a training seed may influence several algorithm-d…

A real estate website can generate a buyer inquiry in seconds, but one wrong chatbot answer can undo...

Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen, unlabeled targets, yet domain shift can make source-derived notions of normality unreliable. We introduce RINSE (Robust Iterative Normality Se…

My last article shared the high-level architecture of KODA (my AI coding mentor built on a POCO C55)....

If you are using AI coding assistants like Cursor, Windsurf, Claude Desktop, or ChatGPT, you have...

TL;DR I learned and applied Open Knowledge Format (OKF), a vendor-neutral Markdown-and-YAML format...

Why tool scoping matters more than anything the model is told Part 7 findings of an experiment:...

Something strange has been happening lately, I keep forgetting small things. Not names. Not...

While making social media creatives for clients. AI tools design them fine now, but the output is one...

You are likely using Cursor wrong. Here is how to set boundaries for the AI so it stops hallucinating your architecture and starts delivering usable code.

The junior's pull request appeared fantastic. They had made clean commits, maintained a tidy...

A worked example of the frontmatter contract, and a short threat model for agents that are allowed to call tools.

Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...

Three real patterns for gating an agent before it does something irreversible, drawn from projects I built.

Here's a fact that surprises people new to Kubernetes and should genuinely alarm them a little: by...

Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...

There is a ceiling on your test coverage and it is not technical. Running tests has been a solved...

My publish-pass agent hit a beat that no source label could satisfy — every relabel that cleared one automated gate tripped another, provably, by arithmetic. The fix wasn't to relabel harder; it was a recorded, attributable waiver, reserve…

I run Claude Code across eleven projects at the same time. Not eleven files. Eleven separate...

Every week someone asks which coding agent is better, and every answer is a vibe. I wanted a...

I have been building an AI-native PCB editor for a few months. Before I wrote a line of it, I did the...

Undo almost never proves what it undid Falsifier, up front: if you can point me to a real,...

Every additional agent in a chain is supposed to make the system smarter. Too often, it just makes...

Agents are getting wired to money — order food, top up credits, call paid APIs. Between 'the agent wants to spend' and 'the money moves' you need a decision layer: ALLOW / human approval / DENY, with audit.

A reported Claude Fable 5.1 prompt extraction reveals why production AI agents depend on tools, retrieval, memory policies, provenance, and application-level safeguards.

Six weeks after I fixed capture with hooks, my second brain was still confidently wrong. The nightly...

On September 1 my upstream provider repriced one of the models I depend on. Here's the part of the...

When I started in this field, I quietly believed there would come a point where I had learned enough....

I ran two Claude Code sessions against one repository and assumed the hard part was coordination. It...

Security controls in AI systems often end up duplicated across applications. One team adds prompt...

I have spent the better part of the last five years watching the relationship between developers and...

Most teams still optimise for Google alone. But large language models (LLMs) crawl and compress your...

WebLLM: The Rise of AI That Runs Directly in Your Browser For the last few years, the...

AI coding tools can write a function in seconds. The harder question is whether that function...

NLP Meaning: What is Natural Language Processing & How Does It Work? You’ve...