AI Intelligence Archive

Independent review. I ran both tools on my own accounts, free and paid, with no vendor-provided access or early access of any\u00a0kind.

Every time a RAG application answers a question, it may need to retrieve documents and make an LLM...

This is a submission for the Kaggle Benchmarking Challenge. I Benchmarked 3 LLMs on...

https://www.kaggle.com/competitions/arc-prize-2026-arc-agi-2/leaderboard

https://www.kaggle.com/competitions/arc-prize-2026-arc-agi-3/leaderboard

"Will AI replace developers?" is the wrong question. The better one is: how should we change the way...

https://learn.chatgpt.com/docs/windows/windows-sandbox

Until 2026-09-15 our agent could end a run by asking its owner "can I leave this for next time?". It...

Most teams trying to understand AI search start by querying ChatGPT. There's a cheaper signal sitting...

I run a competitor-research agent: give it a company URL and it finds and verifies that company's...

MCP servers look harmless because they expose tools, not endpoints. A client calls a tool and gets a...

In 2022, I spent about a year applying for more than 2,200 jobs. I got two interviews. Two. After...

This is a submission for the DEV Hacktoberfest Open-Source AI Challenge: Week 1 - Touch Grass. 🌿...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass. Your...

I spent a month defending a supervisor architecture I knew was failing. The symptoms were subtle at...

TL;DR LMCache is a caching layer for large language model servers that keeps the...

If you’re like me, you generate a lot of markdown files with your agents. Maybe they’re things like...

Sending an HL7 v2 message is easy. Open a TCP socket, wrap the message in MLLP framing, write it, and...

I assumed that if search found the right document, that was good enough for a conversational...

What already works with Microsoft 365, what is still missing for a company-wide rollout, and the pilot checklist I use.

This is a submission for the Kaggle Benchmarking Challenge I gave 39 language models the same...

I first noticed something missing while reviewing saved discussions of Microsonya, my Telegram...

This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 1 — Touch Grass. ...

An open-weight tabular model forecasts your last spring frost and a local Gemma writes the planting advice. Fully offline, no account, $0 to run.

Runtime failure monitors for robot policies are typically evaluated by how accurately they distinguish failed from successful executions. Yet an accurate alarm may arrive too late for recovery, while an unnecessary intervention may disrupt…

Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRISM (Population-Retrieved Inference for Structured Multimodal Prognosis), a multimodal l…

Federated learning (FL) seeks to optimize a shared global model from decentralized client data. While effective for average performance, this process can produce unfair performance across clients, particularly under statistically heterogen…

Generative Recommenders increasingly use Reinforcement Learning (RL) to optimize outcomes that may appear hundreds or thousands of interactions after a decision. Standard RL propagates reward according to temporal proximity rather than exp…

Update, Oct 9: I wrote this on Sept 29. The first backtest finished on Oct 1. One signal first looked...

Existing LLM-based agent approaches for long-horizon machine learning engineering (MLE) often use context engineering, implemented through custom harnesses that manage tools, skills, and accumulated experience. However, we find that as sin…

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked A published...

Agentic orchestration delegates tasks to sub-agents with independent contexts, providing a key path to extending the effective execution horizon of large language model agents. However, existing orchestration methods face two limitations: …

On-policy distillation (OPD) provides teacher supervision on student-generated trajectories, but a single trajectory realizes only one continuation at each decision, limiting supervision coverage under a finite sampling budget. We propose …

In September 2026, IQVIA called trusted data, responsible AI, and enterprise governance the new...

Nonlinear model predictive control (NMPC) can be applied to large nonlinear systems with complex objectives while enforcing constraints, but the cost of solving the underlying optimization problems limits real-time application for systems …

Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase system reliability and robustness, ensures the system can still function safely on the b…

We derive approximation rates for Sobolev functions defined on the complex unit sphere and complex projective space, representing quantum states, and on the special and projective unitary groups, representing quantum unitary operations. By…

Representational similarity measures (RSA, CKA, Procrustes) are chosen for the transformations they treat as irrelevant, and all of them take the set of conditions as given. That set is fixed by two decisions, which inputs are admitted and…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

If you run AI agents on cron jobs the way I do, you already know where the bill comes from. It is not...