AI Intelligence Archive

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Retrieval-augmented generation (RAG) is often used to address outdated knowledge by providing external evidence.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.

Europe's AI data center buildout is creating a power problem that cannot be solved by adding more...

Earlier this week I tested whether Jev remembers how 2023 earnings turned out. It doesn't. So I ran...

Originally published at cchinchilla.dev. Part 4 of From code to weights, a 12-part series on ML...

AI agents are producing more pull requests, but human review is not scaling with them. The solution is smaller changes, stronger automated gates and clear ownership of the merge.

AI coding assistants are getting very good at generating Laravel code. Give an AI a feature request...

Handrail takes a screenshot of whatever you are stuck in, answers your question about it, and then...

layaAgent: an AI agent where a small typed-decision encoder makes the routine decisions, a local LLM...

Introduction Here is how to construct an inventory and pricing command centre with ToolJet...

On Wednesday, September 30, Anthropic and Google Cloud are co-hosting a hands-on developer workshop...

What happened when I tried a model that doesn't generate text at all I spend a lot of...

As AI agents become a bigger part of the conversation around software development, I started thinking...

Most explanations of vector databases turn into a wall of math. Here's the one-minute version...

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...

I added one column to my crawler dashboard — verified against checked, counted per path. On the pages that exist, every check passed. On three paths that do not exist, all of them claiming to be ClaudeBot, every check failed.