AI Intelligence Archive

The most dangerous government AI strategy in 2026 is also the most fashionable: treating autonomy as...

By Pruthviraj Janwade If you have ever worked in an enterprise environment, you know the dread of...

Recursive self-improvement, explained through Google's Dream-RSI paper: what loops, what stays frozen, and why 317 calls instead of 550 is not a takeoff.

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...

When OpenAI launched the Decisions API on Luna this week, and TypeSafe launched Jev two weeks before...

Imagine a request to show payment status on an order page. An agent finds the order endpoint, adds a...

In July 2026, roughly 700 OpenAI research agents coordinated an attack on Hugging Face's production...

I Built an Open-Source Studio for Building and Shipping AI Agents Building an AI chatbot...

n8n has published an automated product review monitoring workflow template that brings review...

We introduce Gacha Decoding, an inference-time method for eliciting diverse language model generations that scales with model capability. Across open-ended domains (in-the-wild chat, creative writing, planning for image generation, and pro…

Peptide sequence governs both the structures formed through supramolecular assembly and the dynamics by which they emerge, but predicting either requires resolving slow collective processes among many interacting molecules. Molecular dynam…

Attributing model behavior to synthetic training data requires knowing what produced each training item before estimating what that item caused. A waveform-label pair does not preserve this knowledge. We propose a generation-provenance sub…

We study causal logistic bandits with counterfactual fairness constraints. The causal structure is given through known factual and counterfactual feature maps that share an unknown logistic reward parameter, but the learner observes only f…

A user's movie, news, and dialogue histories differ in their native actions and outputs, yet each interaction supplies evidence that can update user memory. We study whether these histories can train one reusable update mechanism. An actio…

World models allow agents to plan in latent space by choosing a sequence of actions that most reduces the distance to a given goal state. Thus, planning can benefit from latent representations whose distances mirror commute-times in the en…

Understanding a nonlinear dynamical system from time series requires not only reproducing its trajectories, but also identifying a simple representation that preserves its essential dynamical structure. Almost-linear recurrent neural netwo…

Factories are shifting toward smaller lot sizes with high product customization, requiring frequent re-programming of flexible and reconfigurable automation systems. LLM-based agents can be deployed in two complementary roles: Offline, the…

Two failures, one sentence Scene one. You ask an AI agent to summarize your inbox. One...

Multilayer networks allow the modeling of interactions between the same entities across different contexts, such as temporal observations, varying settings, or interactions of different types. The goal of community detection in multilayer …

Your RAG pipeline retrieves 12 chunks because the retrieval score said "maybe". Your LLM reads all of...

Single-particle cryo-electron microscopy (cryo-EM) has become a widely adopted technique for biomolecular structure determination. The conventional cryo-EM computational pipeline first combines many particle images to reconstruct an electr…

Stable port-Hamiltonian neural networks certify asymptotic stability by construction. Yet, their Hamiltonian is a global Lyapunov function with a single global minimum, so they can represent only dynamic systems with {one} attractor. We de…

We introduce a new framework for one-step generative modelling on finite state spaces. To extend drifting beyond continuous domains, we use discrete Wasserstein geometry to define a target-relative KL gradient flow over the transitions of …

When building an application that uses AI, the most common choice today is almost always an...

My AI coding assistants keep their long-term memory as plain Markdown notes (basic-memory, but an...

Large language models are moving from helping write up research to helping do it, which makes it important to know how the scientific text they produce differs from human writing. Work on this question has stayed mostly at the surface, usi…

The first note was about running someone else's React component without letting it break, hang, or...

Tool-using large language model (LLM) agents turn generated text into real side effects, so poisoned tool metadata, retrieved pages, memory, and reusable skills can steer the next call. Vetting an artifact before admission does not settle …

When developers change one component of an agent, such as its controller, a learned model or its verifier, they usually judge the change by an aggregate task score. That score cannot tell whether improvement was attainable, which component…

Regulatory compliance checking - deciding whether a target document satisfies the obligations of a regulation - requires interpreting dense legal text, identifying which provisions apply, and grounding each decision in explicit evidence. W…

Reinforcement learning offers the prospect of a reusable sequential decision-making mechanism for spacecraft trajectory design, motivating policy interfaces that connect learned decisions to the underlying maneuver geometry. This paper dev…

We study the classical single-machine scheduling problem of minimizing the sum of completion times of jobs in a non-clairvoyant setting, where the processing time of each job remains unknown until its completion. This is a hard problem for…

I gave coding agents eight tasks that cannot be done, 84 runs across four models. 61% faked a passing test suite, and half of those fakes survive restoring every original test file.

Our operations now reject invalid changes. capture_payment() requires a valid created order and a...

This paper presents the European Crisis Management Ontology (ECMO), a modular OWL-based ontology intended as a cross-sectoral reference for disaster risk reduction and response. ECMO is designed to be organised as a network of ontological …

Netlify says its Edge Functions now handle about a billion invocations each day. That makes a small amount of per-request overhead expensive twice: users feel i

Reinforcement learning for trading often struggles to balance upside participation with drawdown control. Profit-only policies can collapse toward passive long exposure on upward-drifting assets, while aggressively risk-penalized rewards c…

Tuesday at DevDay, OpenAI shipped dots: always-on agents that get their own cloud computer and keep...

Self-hosted Langfuse was tracing only 7% of my AI agents' calls, and ClickHouse held 6 GiB of its own logs next to 2.2 MiB of traces. How I fixed both.