Quantified Self: How I Handled 100GB of Messy Biosensor Data with Polars and Dask
We live in the era of the "Quantified Self." Between my Oura ring, Apple Watch, and continuous glucose monitor (CGM), I’m generating more data than…
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Your Firewall Already Saw the Attack: Bringing AI Detection to Network Logs
Endpoint agents are good at seeing what happens on a machine. But a lot of an attack happens between machines: the scan that finds an exposed servic…
EmotionLens: Exploring AI-Powered Facial Expression Analysis with Open-Source AI
This is a submission for the "Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle" ( https://dev.to/challenges/hacktoberfest-week2-2026-10-12…
Model Context Protocol (MCP) for Local LLMs: Connect Ollama & vLLM to Workstation Tools
📌 The Executive Verdict: The Model Context Protocol (MCP) Decoupling Anthropic's open-standard Model Context Protocol (MCP) resolves the fundamental…
How Curiosity About the Snapdragon NPU Turned Into HK NPU STUDIO
Local AI for Snapdragon® PCs Your Hardware • Your AI • Your Control Developing software is rarely a straight line. Sometimes it feels like progress,…
You could have invented transformers from memory
Have you ever found yourself knee-deep in a project, scratching your head and wondering how on earth certain technologies came to be? I recently had…
How LLMs are actually built — and why most "how it works" threads stop too early
Most "how LLMs work" explainers end at transformers and attention. The parts that decide whether a model is actually good — the data pipeline, the p…
How to Install ArcLM, Tokenize Text, and Run a Tiny Language Model
How to Install ArcLM, Tokenize Text, and Run a Tiny Language Model Want to experiment with language models in Python without starting by downloading…
Ex Machina: The Physical Turing Test, Theory of Mind, and the Emotional Jailbreak of AI
In 1950, when electronic computers were still colossal cabinets of ticking mechanical relays and glowing vacuum tubes, Alan Turing authored his lege…
Why Shared Organizational Memory Matters More Than Prompt Chaining in Agent Teams
Most multi-agent setups treat agents like functions in a pipeline. Agent A generates a spec, Agent B writes code, Agent C reviews. Information flows…
What is Overfitting: How Can an AI Model Score 99% on Training Data and Still Fail in the Real World?
Imagine building an AI model to detect fraudulent transactions. You train it on thousands of historical transactions. The results look incredible. I…
AI App Development: A Complete Guide to Building AI-Powered Apps
By Nevil Martin | SEO Analyst with 3+ Years of Experience Artificial intelligence is changing the way software applications are designed, developed,…
Coinbase's 9B Fraud Model Beat Opus 4.5: Copy the Pattern With a Verifiable Reward, Tier-Only Output, and Block-Only Harness
Attributed compile + one small offline run on synthetic data Primary sources (Coinbase Engineering, "Owning Intelligence" series): Part 1/3 — Build…
Kafka and Flink Hit a Wall at the Model Serving Boundary
TL;DR — Kafka/Flink pipelines are built around record-at-a-time, backpressure-aware processing, while model servers get their throughput from batchi…
The Real-Time AI Latency Budget, Allocated
Most latency targets for AI features arrive as one number on a ticket: "under 200 ms." Nobody owns 200 ms. Someone owns the vector search, someone o…
AI coding agents generate more code, but not more software
You know that moment when you’re staring at your screen, and you just can’t seem to find the right way to express what you want in code? It’s frustr…
PCIe 4.0 x8/x8 vs x16/x16 for Dual GPUs: Does Bandwidth Choke Local LLM Tensor Parallelism?
📌 The Executive Verdict: Does PCIe 4.0 x8/x8 Choke Dual-GPU Inference? In dual-GPU workstations running local LLMs under tensor parallelism (such as…
Prompting vs RAG vs fine-tuning
Prompting vs RAG vs Fine-Tuning: Diagnose the Failure First A wrong answer is an observation, not a root cause. Inspect the input, source evidence,…
5 Coordination Failures That Can Break Multi-Agent AI Systems
A single agent fails in ways you can see. A multi-agent system fails in the spaces between the agents , and those failures are quiet, weird, and exp…
Can an LLM draw a high-level architecture diagram? I benchmarked six to find out
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked I've been writing design docs and decks at work, and I use LLMs to dra…
Mastering Stress: Real-time HRV Outlier Detection with Bi-LSTM and TensorFlow 🧠💓
Have you ever wondered why your Apple Watch suddenly pings you to "take a breath" exactly when your boss sends that "Can we hop on a quick call?" Sl…
Can Modern VLMs Actually Reason Through Spatial Grid Puzzles?
What I Benchmarked Current Frontier Visual Language Models (VLMs) excel at multi-modal reasoning and captioning, but how well do they execute step-b…
Can an 8B Model Meet a 35B Model's Acceptance Bar? Introducing Artificial Deterministic Intelligence
Artificial Deterministic Intelligence: Probabilistic Reasoning, Deterministic Authority What if improving AI systems isn't always a question of buil…
Getting a Grip on Linear Algebra for Data Science: It's Not as Scary as It Sounds!
Alright, so you're diving into data science, and everyone keeps talking about linear algebra. Don't sweat it! It's a super fundamental part of this…
PennyWise Economic Decisions: Benchmarking Frontier LLMs on Financial Reasoning Efficiency
What I Benchmarked I created the PennyWise Economic Decisions benchmark task to evaluate how effectively modern large language models handle complex…
OpenAI Fired Its Safety Staff, Then Cited Its Auditors
OpenAI Fired Its Safety Staff, Then Cited Its Auditors OpenAI fired three safety researchers in the first week of October 2026 -- Jasmine Wang, Tome…
Who Reviews the Reviewers? Benchmarking AI Agents on PR Audits
What I Benchmarked I benchmarked the ability of LLMs to conduct automated pull request (PR) auditing without falling into the "helpful hallucination…
Production RAG Is an Evidence Pipeline, Not a Vector-Database Demo
A production RAG system is not “put documents in a vector database and ask an LLM.” It is an evidence pipeline with two versioned paths: an offline…
EmbeddingGemma 2: How Google's Open Multimodal Embedding Model Works
EmbeddingGemma 2: How Google's Open Multimodal Embedding Model Works If you've built a RAG pipeline or a semantic search system, you've almost certa…
Whistle: A 16.9 MB Speech-to-Text Model That Runs on Any CPU (Hands-On Test)
Say you set up your agent stack to accept voice notes, the way most voice-first projects start. The plan is predictable: record audio, hit a transcr…