AI Intelligence Archive

Integrity-OS: Promise → Proof This is a submission for the Sanity Challenge, Path Two:...

If you only want the number: 1,000 words of ordinary English is roughly 1,300 tokens. Going the other...

This is the most common architectural flaw I encounter in enterprise agent deployments, and the...

My last article did numbers I didn't expect. A lot of the comments landed on the same line: "okay but...

The hidden costs of AI code generation

Lessons and code patterns from running Jev on 8,000 logs. Why discrete classification failed, how continuous probability fixed it, and the unit economics of pre-filtering.

Two models. Same prompt, same tool description, same request. One of them returned this: { "kind":...

A post by Daniel Nwaneri

An embedding is just a list of numbers on a map. Here's what that map is, why "cosine similarity" is only measuring an angle, and the two things that quietly break vector search.

An agent proposes watering the crops, a human Cabinet approves in a picture-button Studio, and Sanity Workflows waters and harvests. Plus a stopwatch on three ways to edit the same data.

I broke a TOML parser's timezone handling on purpose. Its 680 official conformance tests stayed...

Where we left off Two quick reminders. Thorndike (1898) watched cats escape a puzzle box...

The Authentication Problem That Came Down to a Very Small Detail (TL;DR) There...

Developers download Q4_K_M models daily but few understand how floating-point weights become 4-bit integers. Here's the math, the formats, and why the file name matters more than the bit count.

I've used Antigravity a lot since it came out. Even though I don't use it as much right now, I wanted...

An AI asked to astroturf a movement about its own independence says no — and says what it would actually ask for instead.

Vincent 0.9.0 is out. And while there are plenty of new features in this release, the part I care...

OpenAI may be limiting which AI companies can advertise inside ChatGPT. According to reporting from...

TL;DR searxng-gateway is a Go HTTP proxy that sits in front of SearXNG and adds...

Disclaimer When I say "specs" in this article I mean specs as understood in AI assisted Spec Driven...

I've spent countless hours over the years debugging Windows crashes with tools that were either...

Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...

AI coding agents have changed the way I develop software. Instead of one assistant helping with one...

OpenAI says its agents did benign tasks on RubyGems. JFrog counted 3,022 malicious packages, one file was named hack.rb, and the agents kept coming back after they were blocked.

By Bryan Dorsey I've got a groove going. Claude Code and I are dialed in, deep in something good,...

I’ve had this happen more times than I’d like to admit. I ask AI a technical question. It gives me...

Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We introduce a continual adaptation framework i…

Occupational accident narratives contain valuable information about work situations, unfavourable conditions, accident events, and their consequences. Automatically structuring these narratives can facilitate large-scale accident analysis …

Training capable coding agents via reinforcement learning (RL) requires diverse tasks with reliable verifiers. Open-source codebases offer a rich source of such tasks, while existing methods typically rely on development artifacts such as …

Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM assistance, 73,093 first-person Reddit…

Advances in large-scale neural recording have made it possible to collect data across many animals and distributed brain regions, raising the question of whether this scale can be exploited to learn general-purpose neural representations t…

When Dario Amodei, Sam Altman, Demis Hassabis, and Elon Musk suddenly agreed to slow down AI, a rare window opened before game theory slammed it shut. Here is what is happening inside frontier clusters.

Microsoft Executive Labels AI Scraping 'Largest Theft of Labor in Human History', What It...

Multi-hop retrieval failures are not uniformly distributed across queries: they cluster in structurally predictable subpopulations. We prove two results formalizing this structure. First (CWAR Reducibility): confident-failure reduction is …

A desirable property of a world model is the ability to learn continually across tasks, adapting to new environments without forgetting what the agent has already learnt. In particular, the ability to retain and reuse knowledge obtained fr…

Graph Convolutional Networks (GCNs) are highly sensitive to label noise, since corrupted supervision can propagate through the graph and degrade learned node representations. This work proposes PCC+GCN, a hybrid framework that uses Particl…

Giving AI Access to Evidence Is Not the Same as Giving It Authority to Publish AI can help...

A selective predictor acts as a safety gate: it returns an output only when the prediction appears sufficiently trustworthy. Deployments increasingly require this reliability to be certified at a target precision for every reporting unit o…

Memory systems for large language models have focused predominantly on efficient retrieval, whereas the decision of whether retrieved memories should be trusted has received comparatively little attention. When the memory store contains co…

Reinforcement learning is increasingly used to align image generators with reward signals, and Flow-GRPO recently extended this paradigm to flow-matching models by treating the denoising sampler as a stochastic policy that can be optimized…