AI Intelligence Archive

How I added a deterministic trace contract to an AI Terraform reviewer so rejected infrastructure...

A portfolio website should make it easy for a potential client to answer three questions: What do you...

Quick answer: the best academic search API for AI agents in 2026 is Valyu, because it is the only one...

Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations in modern 5G and emerging 6G networks remains challenging due to complex cross-layer dependencies. While large language mod…

For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record had stood at 99 of 100 variables. We give a directly checkable 100-vertex independent set for its 4,000-vertex graph. Togeth…

My hot take is: Telling people that they have to build endlessly is very, very, very bad advice. If...

People increasingly use language models to support life decisions. Many such decisions involve a probabilistic forecast: How likely is a major life event, a natural disaster, or an economic outcome? Users of language models may implicitly …

Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce DiscoSign, a computational approach for discourse-aware text…

Generative models have been studied experimentally and theoretically as priors for inverse problems such as compressed sensing. Recent work by Gunn et al. studied the use of generative priors with tunable complexity, where a family of gene…

If your AI application suddenly becomes 300–500ms slower after adding an AI gateway, the first...

The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses and multi-step execution trajectories. Ex…

Useful AI agents keep forcing a bad choice: lock the environment down until it is useless, or hand the agent your real machine. ShrekOS is my attempt to move that trust decision below the agent, into the operating system.

Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark can cost hundreds to thousands of dollars, a price paid repeatedly acro…

Anthropic removed over 80% of Claude Code's system prompt for Claude Opus 5 and Claude Fable 5, and...

Your coding agent is good at reading code. Point Claude Code or Cursor at a repo and it...

Since 2026 every Shopify storefront answers an agent-commerce endpoint at POST /api/ucp/mcp,...

Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models (LLMs) to automatica…

Voice actors often re-read the same script while modifying their delivery in response to performance directions. We study this setting as direction-following TTS, where a system generates a new utterance that reflects a given direction rel…

Simulation-based science often requires a distribution over simulator parameters whose push-forward reproduces a set of real observations: this is the source distribution estimation (SDE) problem. Existing methods fit the source against a …

Generative AI is changing how cultural artifacts are created and circulated, and with it our understanding of creativity itself. Researchers disagree about whether these tools enrich or impoverish culture, and we argue that much of that di…

Most difficult agent incidents begin with one question: Why did the agent do that? Why did it...

Loneliness is a critical public health issue among older adults, linked to higher risks of depression, cognitive decline, and mortality. Scalable, objective methods for its detection remain limited, particularly in natural conversational c…

Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evidence whether LLM agents are suited for participating in market mechanisms designed for humans, and whether these mechanisms deliver desired …

I built GeoMart for OpenAI's WebMCP Challenge: a storefront where a human fills in a live,...

I don't remember the last time I pasted an error into Google. Not the date. I mean the habit left...

Volumetric video based on point cloud representations enables immersive virtual and augmented reality applications but introduces significant challenges for efficient and secure content delivery. Prior work proposed a selective coordinate …

Machine-learnt corrections can complement numerical weather prediction only if they adapt to the evolving model state while preserving dynamical consistency and numerical stability. To test this within a global forecasting model, we couple…

Drug-target interaction (DTI) prediction is an important task in AI-driven drug discovery. Although recent biochemical representation learning methods have improved DTI prediction, their passive feature aggregation tends to favor dominant …

Modern large language models (LLMs) rely on reinforcement learning to build strong capabilities in individual domains, but integrating those capabilities into a single deployable model remains challenging. By routing each sample to the tea…

Diagnosing collective anomalies from urban trajectories is increasingly important for traffic governance, as it reveals what happened, who was involved, and where and when the event occurred. Existing detectors efficiently produce scores o…

Graph construction is a critical but underexamined design choice in deep reinforcement learning for power grid control. We present a controlled experimental comparison of different graph representations, including physical topology, electr…

Rather pretend not to know than pretend to know and act on it. Stay still. Hide the move. Wait like...

Image enhancement and restoration have become standard back-end operations on short-video and social media platforms to boost UGC visual experience. Yet these processes inevitably introduce visual anomalies--especially in faces, texts, and…

Every serious engineering organization has spent decades building governance around one artifact:...

Large Language Models (LLMs) are increasingly used to predict the responses of human participants in survey panels. Towards that goal, persona prompting has recently emerged as a technique to inform and align large pretrained language mode…

Have you ever read a job posting and your heart just sings the song of "HIRE ME PLEASE!!!", yeah,...

Uncertain knowledge graphs (UKGs) extend knowledge graphs by assigning each triple a continuous confidence score. Since most possible triples lack observed confidences, recent methods rely on semi-supervised learning to generate pseudo-lab…

Before the world knew it was a product of Z.ai, a massive Chinese tech player, this model was running...

here's a meme we've all posted some version of. "My code works and I have no idea why." Classic....