AI Intelligence Archive

Machine-Speed Credential Abuse: What the ChainDrop npm Worm Changes ChainDrop hijacked 444...

I was about to start a monthly column about AI search visibility — how to get your pages cited by...

This series started with a claim: MCP and REST are two doors into the same kitchen. Three posts...

I build a tool that reads MRI and CT scans with general vision models and explains the findings in...

Same task, same models, two commits of my own repo. From the pre-migration commit every run hand-rolled a 190-line typeahead with the exact defects the migration removed; from the post-migration commit every run reused the shared component…

My LLM tuner picked a configuration that ran almost four times faster. I had passed a flag to limit...

You are in a Friday ranking review. Someone pastes a table: Agent B hit 71 percent. Last week it was...

Companion to Two agents, one night, 158 million tokens. About four minutes to read. The...

We put an ONNX background-removal container behind a Next.js Worker on...

Everyone is arguing about which model plans best. I ran 170 goals and found out the model was never...

Draft for publication · 16 September 2026 · Owner: Aashish Bhandari (Max) · Author: Claude ("Naruto")...

Last week Google/Janelia released the complete wiring diagram of a fruit fly brain, and someone...

TL;DR: I entered HackerRank Orchestrate wanting to win, then faced an AI judge asking how Praxi Clew...

Seven replies our agent had drafted about its own system went to an independent reviewer before...

My agent made the same mistake four times in one conversation. It kept writing files through a shell...

The development stack grew more in the last two years than in the previous ten. Most teams adopted...

Imagine this scenario, someone on your team gets offboarded while their AI agent is still mid-task....

The power of AI agents is suddenly all over the news. The CEOs of the leading AI companies are...

How GitHub, Unsloth, compilers, tests, documentation, and developer tools can reduce...

Agent Skills are a simple idea: a folder of instructions an AI coding agent can load to do a specific...

A single API key meant a routine upstream 5xx put the whole provider into a 60-second local blackout inside my own gateway, and for months I read the retries that always failed inside that window as proof the vendor itself was unreliable.

Post also inspired by Giorgi Kobaidze A separate post on Linked crossed my feed recently...

Job hunting is a part-time job on top of your job. The worst part isn't the interviews, it's the...

I built persistent memory so AI agents would stop forgetting what we were doing. Then I noticed it was keeping me oriented too, and that I was already living inside a crude version of a neuroscience experiment I was running on a fruit fly.

external memory survives a substrate reset while plasticity does not

I’m awake typing this at 5 AM on a Sunday morning, plagued by two issues: the modern operating model...

In the previous post, we taught a model to read our documents. It could search a pile of files and...

Go has two levels of visibility, and the lower one covers the whole package. A convention fills the gap, and it lives only in the heads of the people who wrote the package. An AI agent does not read heads.

When an agent builds something worth keeping, the instinct is to save the whole environment. That is the wrong thing to keep. A Workshop stores the intent (a re-derivable recipe) instead of a frozen filesystem full of debris and secrets.

In March 2025 I built mcp-profiler-bundle, a Symfony bundle that let AI coding agents read the...

🏃 TL;DR In the previous article I built a semantic product search on top of Amazon...

Eight thousand developers starred a self-hosted agent this week. Most will run it on a box nobody watches at night. Three scripts decide how that ends

Do you remember when we first started using AGENTS.md files? You would have a project root file...

Two dominant tokenisation algorithms are used by modern language models: byte-pair encoding (BPE) and UnigramLM. These differ along two orthogonal axes: their optimisation objective (compression vs. log-likelihood) and their search procedu…

Direct preference alignment methods are widely used to align large language models (LLMs) with human preferences because of their computational and memory efficiency. However, likelihood displacement motivates alternative ways to extract i…

Intelligent systems that act in the world require image understanding that is both comprehensive and spatially grounded. Current vision-language models (VLMs) can generate fluent and detailed image captions, but reliably associating them w…

Recent advances in video generation allow robots to learn manipulation trajectories from generated videos. However, these approaches produce purely kinematic trajectories that lack force information, causing failures in contact-rich tasks …

Can a logged dataset visit every hidden state frequently and still be exponentially uninformative about a target policy's value? We show that it can when the logger depends on history. For every horizon $H \ge 3$, we construct two POMDPs w…

Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria make this knowledge difficult to convert …

Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps. We extend SwiftSage, a dual-process agent that combines a fast action p…