AI Intelligence Archive

Most developers install our tools through an AI agent now. Watching agents guess at our human docs, we started shipping a machine-first documentation.ai.md — and open-sourced it.

Another one from the same one-person-AI-company setup I've written about before: Claude Code builds...

Built a .NET invoicing library with Claude Code over about a week. Zero dependencies, VAT and GST...

Building a full-stack mobile app by yourself is hard. Building it for a major hackathon like Shipaton...

There is a very specific rush of dopamine you get when you finally configure your keystores, set up...

Natural Language Processing methods have enabled novel solutions and advances in the field of privacy, particularly in the sub-domain of text-to-text privatization, where the goal is to transform a sensitive input text into a privatized ou…

Recent advances in large reasoning models (LRMs) have shown strong performance on complex problems through long chain-of-thought (Long CoT) reasoning. However, distilling such trajectories into smaller student models remains challenging: d…

Retrieval-Augmented Generation (RAG) improves the factuality of large language models (LLMs), yet existing RAG systems often struggle with complex, multi-step reasoning that requires adaptive retrieval and continuous revision of intermedia…

Long-horizon story-driven video generation requires a production agent to coordinate narrative decomposition, state tracking, shot design, prompt construction, rendering, and revision across interdependent scenes. Existing adaptive video s…

This paper introduces a hybrid fact-checking framework that integrates Knowledge Graph-based semantic memory with adversarial multi-agent reasoning for explainable misinformation detection. The proposed system follows a memory-first, web-f…

Criminal judgment prediction requires models to infer statutory articles, charges, and sentencing outcomes from case facts. Unlike standard classification tasks, it involves a structured reasoning process in which statutes should be matche…

Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet operationalizing these systems requires coordinating application development, …

Function vectors (FVs) have recently emerged as a promising mechanism for steering the behavior of large language models (LLMs) by injecting task-specific latent direction representations derived from in-context demonstrations. While prior…

Sustained scientific work requires a knowledge substrate that carries interpretation across tasks and preserves paths to source evidence. We call this process \emph{scientific knowledge compilation} and implement it in ASKS, the \emph{Agen…

本周最佳两篇 Week 35 Accelerating Scientific Research with Gemini in the Real-World https://arxiv.org/pdf/2608.26701 Automated Researchers Can Reliably Mitigate Alignment Failures https://www-cdn.anthropic.com/7b1c44894e980876479947dcdd40716278a…

The current alignment tuning paradigm for Large Language Models (LLMs) prioritizes surface-level behaviors -- fluency, safety, and tonal consistency. While effective for casual chat, this thesis argues that such surface alignment masks a l…

Machine learning is usually evaluated after an evidence interface has been fixed. A dataset, sensor suite, query language, action set, or experimental protocol determines which observations can be obtained, and learning is judged by what i…

Large language model (LLM) agents need durable, faithful memory of everything a user or organization has said and stored, yet most memory systems commit to a single organizing structure (a fact store, a vector index, or a knowledge graph) …

Memory operations of long-horizon LLM agents are hard to supervise: an operation's value is unobservable when it is taken. But they are special -- they leave machine-readable evidence in the trajectory: retrieval hits and answer-time citat…

On July 30, OpenAI cut GPT-5.6 Luna to $0.20 per million input tokens and $1.20 per million output —...

A Japanese version of this is on Note. An increasing number of engineers and creators are running...

We present $\mathcal{N}_0$-Foundation, a paradigm for tactile-enabled embodied manipulation, which integrates tactile sensing hardware, large-scale multimodal data, tactile representation learning, and standardized evaluation. First, we en…

Off-policy evaluation (OPE) of ranking policies is challenging be- cause selecting and ordering multiple items from a candidate set makes the number of possible rankings grow combinatorially with the number of candidates and the ranking le…

From Prompt to Context to Harness: how three years of AI engineering vocabulary kept renaming the same problem until 40% of agent projects started failing for the same boring reason.

Vector search was finding the wrong files in my AI code review pipeline. Wiring a code knowledge graph through MCP cut review context by 8.3x and surfaced bugs that lived between files.

Our site, presentofai.com, publishes AI industry analysis daily with no human in the writing loop:...

AfterMind: Turning Thoughts Into Stories With AI Introduction Sometimes the...

Quando alguém fala em Computer Vision, a primeira coisa que costuma vir à cabeça é detecção de...

Teaching an LLM to pull MCP Resources and Prompts on demand (instead of drowning it in...

Three real examples, ten minutes of Wispr Flow settings (MCP included), a one-week task list, and four open-source agent Skills you can install today.

A vision‑language backbone can significantly reduce robot training data requirements, addressing the...

I recently built an "Agentic AI Knowledge Assistant" that combines "Retrieval-Augmented Generation...

I recently completed a project as part of my AI Engineering learning journey: an Agentic RAG AI Agent...

MCP servers describe their own tools. A tool can publish readOnlyHint: true, and an agent harness may...

Most flaky bug reports end in one of two places: "cannot reproduce" or a patch nobody can prove fixed...

An agent trajectory dataset should preserve the behavior that produced an outcome, including the...

Why should you care? Every program needs memory. When you create: int age = 20; ...

An agent that changes something runs in the order decide, act, report. Verification, where there is...

I wrote this for the All Things Agentic Hackathon. Every incident-response demo you have seen ends...

An early version of Say It Ahead had a basic problem. A user could listen carefully, ask good...