AI Intelligence Archive

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked 😀: Shortform video...

This article is a submission for the Kaggle Benchmarking Challenge. "I told an AI something was...

It was a Tuesday in March when my Slack lit up. A friend who runs platform engineering at a...

A technical deep-dive into building a reliable local AI agent stack using free-tier LLMs, a custom proxy with key rotation, and self-hosted orchestration.

Demo stack: LangChain, Llama.cpp, Mistral.ai, Qwen Embeddings, PostgreSQL, Telegraf, Prometheus on...

I had three categories of document coming in, and a semantic classifier that scored every one against...

A lot of "AI" in production isn't generation at all. It's a pile of small decisions about a piece...

I recently published an RL environment — a reinforcement learning task that scores an agent on what...

TL;DR Bellman's math told you how to act perfectly — on paper. 1959 computers had neither...

I use AI almost every day. ChatGPT, Gemini, Claude, Copilot, and other AI tools have become part of...

A file-based delivery procedure for Claude Code and Codex that turns workflow preconditions into executable checks, with explicit limits.

Large language models (LLMs) have demonstrated promising performance in log anomaly detection, yet how their adaptation strategies, architectures, and deployment configurations affect detection effectiveness remains insufficiently understo…

Tree-Adjoining Grammars (TAGs) have recently been introduced to Nonlinear System Identification (NLSI) as a means of encoding an entire model class as a finite set of grammatical rules, from which candidate models are assembled as trees. E…

Distributionally robust optimization (DRO) provides a principled framework for learning under distribution shift, but its practical use is hindered by the difficulty of evaluating worst-case risks for nonconvex loss functions. We study a p…

Inference in LLMs is conventionally a fixed-depth, fixed-order forward pass through every layer, regardless of how difficult the input is. The human brain does not work this way: using the thalamus as a central hub, it routes information f…

The Model Context Protocol (MCP) provides a common interface through which AI applications discover and use external resources and tools. It allows language-model agents to ground their reasoning in current system state and interact with h…

Vision-Language Models (VLMs) exhibit remarkable zero-shot generalization, yet they often encode unwanted or hazardous stylistic domains such as idealized textbook diagrams in medical AI or cartoon vehicles in autonomous driving. Approxima…

Contemporary large language model (LLM) chat systems treat conversation history as an immutable sequence of turns that defines the model's working context. However, user intent in real interactions is not static: it evolves through correct…

Time-series carry structure simultaneously at multiple scales (fine-grained variation, mid-range motifs, and global properties) and downstream tasks operate at correspondingly different scales. Most existing self-supervised learning approa…

Large video diffusion models offer expressive priors for embodied prediction and learning, yet their many-step sampling remains costly for interactive downstream use. Distribution Matching Distillation (DMD) enables few-step video generati…

Retrieval-augmented generation (RAG) is often used to address outdated knowledge by providing external evidence. But retrieval helps only when that evidence is still valid. We identify a temporal alignment failure, stale-document poisoning…

Whether an information extraction pipeline should process page images or parsed text depends on the document, and the answer flips across the layout spectrum. We study this trade-off under a constraint that rules out (closed) cloud service…

Have you ever asked AI to do something very specific and it did almost everything right? Except the...

Morphology--control co-design jointly optimizes an agent's body structure and control policy as an integrated embodied system. However, existing methods typically model morphology design and control with separate networks coupled only indi…

Ordinal acne severity grading requires distinguishing visually similar neighboring grades while jointly weighing holistic facial appearance and localized lesion burden - evidence that most existing approaches collapse into a single opaque …

Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-based continual learning methods tie forecasting representati…

For most of human history, studying Earth meant looking backward. Scientists collected observations,...

AI agents combine language models with external data and tools that can modify files, call APIs, or execute code. Security failures can arise when adversarial content changes an agent's tool use or when the surrounding software contains vu…

Unobserved common causes are pervasive in real-world time series and can induce spurious associations that causal discovery methods mistake for direct edges. We propose LUCID (Learning Under Confounding for Inference and Discovery, a regim…

Vision-Language-Action models (VLAs), while showing strong potential for robot control, require massive amounts of high-quality imitation learning data. Moreover, the absence of an explicit world model casts further doubt on their control …

Tabular in-context learners such as TabPFN, Mitra, or ConTextTab rely on alternating row and column attention over 2D sequences of latent embeddings. These attention patterns differ markedly from the one-dimensional case in language models…

We study geometric moment contraction (GMC) of the constant-parameter stochastic Nesterov recursion \[ Y_k=Θ_k+β(Θ_k-Θ_{k-1}),\qquad Θ_{k+1}=Y_k-γG(Y_k,X_{k+1}). \] Under mean strong monotonicity and stochastic $L^p$ Lipschitz continuity, …

Large language model agents increasingly act on software systems, no longer merely generating text but also changing databases and online services. However, an approved database update may succeed yet leave an unapproved notification becau…

By Tanbir Hossain Ramim. Project page: VoiceMax. Source: github.com/TanbirRamim/VoiceMax. VoiceMax...

If you read my last post about how we keep Mautic's docs up to date with Promptless, you already know...

One base, many sources Raku documentation does not live in one place. The language docs...

n8n and NVIDIA will demonstrate a practical approach to governing AI agent actions at NVIDIA GTC...

How to build an app where two models get the same CSV, write matplotlib code, get sandboxed and...

I gave Claude Code and Codex a 1,472-line game bible for a point-and-click adventure about Martin...

Everyone agrees regulated agents need deterministic controls. The failures come from controls that are secretly probabilistic, and from not knowing where the line goes.