AI Intelligence Archive

This was first published on my site and is cross-posted here; the version on my site is canonical and...

Exposing a Java method to an AI agent should take one annotation, not a protocol implementation. How I built java-mcp-server on Spring Boot 3, and what I'd change next.

So I went sideways instead. Here is what happened, and what a week spent teaching a computer to read...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

AI Workflow Orchestration A deep-dive walkthrough of building AI pipelines that run...

Quick answer: Measure intake review time per submission packet, from receipt to ready-to-quote, and...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. ...

Titanic Séance is a small web app where you tell the spirits who you would have been in April...

An AI companion that can edit your files will eventually delete the wrong one. That is not a...

There's an old programmer's joke: the first 90% of the code takes 90% of the time, and the remaining...

Spine landmark detection from spinal X-ray is a key step for estimating spine deformation severity, for building biomechanical models, and for pre-operative planning. We reframe anatomical landmark detection as a pixel-level contrastive re…

Hybrid language models keep a key-value (KV) cache only in their few full-attention layers, but this cache is still the part of a prompt's state that grows with the prompt and that must be stored or moved to reuse it. We present DCKV, a di…

A large language model maintains conversational content in an external storage that is outside the model and grows as the dialogue continues. This work assumes an environment where a language model has no external memory and no prior knowl…

Can additional specialist language-model contexts improve software assurance when deterministic tool evidence is already available? We study this question through five experiments spanning authored Java warning controls, OWASP Benchmark as…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

Machine learning recommendations are often evaluated one model at a time, despite deployment across interconnected decision makers. For continuous NPK fertilizer prescriptions, correlated errors can aggregate across farms and generate syst…

Masked diffusion language models repeatedly compute representations for unresolved tokens, but conventional denoisers do not explicitly retain these representations for reuse across steps. We introduce Temporal Self-Conditioning Diffusion …

As kids we played a lot of Stronghold. Build a castle, keep the peasants fed, set taxes too high,...

On September 8, 2026, a security researcher told Cloudflare that very long prompts sent to one of its...

Generative recommendation (GR) represents items as semantic identifiers (SIDs) and autoregressively generates the next item's SID from interaction history. However, most methods assign the same SID length to all items despite highly unequa…

Optimizing discrete allocation weights across competing segments of a shared budget is a fundamental challenge in resource-constrained, sequential decision-making environments. In practice, this optimization is often hindered by delayed, n…

Diffusion models have revolutionized the generation of realistic artificial images. Efficient techniques such as Low Rank Adaptation (LoRA) can modify these models for particular use cases, making them more diverse and widely usable. At th…

My agent asked me "can I order this part?". I said yes. And the answer came back as a...

1. The problem: an agent that can spend money Most agent demos stop at "the model called a...

Multimodal transformer models have driven unprecedented performance breakthroughs in modern document understanding. However, the inherent black-box nature of these models remains a major obstacle to their safe deployment in high-stakes sec…

Learning from experience is essential for building the next generation of agents that continually expand their capabilities. Pretrained vision-language models (VLMs) already internalize rich world knowledge, yet this knowledge is rarely le…

Large language model (LLM) agents rely on memory systems to leverage long-term interactions, yet existing systems typically retrieve memories based on their relevance to the current query and use them as contextual evidence. However, relev…

When the sources retrieved for a query disagree, the right response depends on why they disagree: a question with several valid answers, a contested topic, stale information and a false source each call for different behaviour. Cattan et a…

Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace. This work presents the first open Speech Language Model for Basque, designed for low-latency, end-to-…

Many AI systems need to find every relevant items in a large collection and then organize what they found. The standard way to do this is to tag each item with labels from a curated vocabulary and search on those labels. Those labels are u…

We propose HiLo-RD (High-to-Low Budget Representation Distillation) to improve masked diffusion language models (MDLMs) under a limited generation budget. Unlike autoregressive models, MDLMs choose both what to generate and where to commit…

Instruction-following information retrieval (IFIR) requires retrievers to rank documents by both a query and its instance-specific instructions, yet instruction-conditioned contrastive supervision remains scarce. Existing synthetic methods…

We present PREEN (Preset Regression via an Exemplar-based Editor Network), which casts color style transfer as regression onto the 29 parameters of a deterministic image editor. Given a content image and a style reference, PREEN predicts a…

Existing noise mitigation strategies for wind farms usually consist in reducing turbines power output, without accounting for the wake interactions between them and the noise emission directivity. This leads to over-conservative policies a…

In this study, we propose a dual-branch evolutionary framework that simultaneously performs Neural Architecture Search (NAS) and Hyperparameter Optimization (HPO) for Reinforcement Learning (RL) in Autonomous Driving (AD) tasks. While NAS …

I maintain GEO Optimizer, an open-source CLI that audits whether ChatGPT, Perplexity, Claude and...

This week wasn't about flashy model releases — it was about the plumbing catching up to the ambition....

Hacktoberfest Open-Source AI Challenge: Ghost in the Machine Submission A system error rarely...

I build my own sites with AI tools, and after launching a couple of them I wanted a simple answer:...

This post is part of the Monthly MLH × DEV Writing Challenge — a look back at what I built, how I...