Large Language Models

Functions live in networks, not in parts Continue reading on Medium »

A2A is not dead. It is just not universal. Continue reading on Practical LLM Systems »

A2A is not dead. It is just not universal. Continue reading on Practical LLM Systems »

Anthropic now sells the exact same Claude models three ways, and the price per token is the least interesting difference between them. Continue reading on Mediu

Every major AI starts as the same general model. Fine-tuning is how companies turn that into something that feels completely different… Continue reading on Medi

An execution-based telemetry study evaluating 22 open-weights code models across functional correctness, structural fidelity, and hardware… Continue reading on

One of the most overlooked attack surfaces in production LLM deployments is the output channel. Why Output Matters An LLM can produce harmful output through suc

Claude Code is currently one of the major coding AI harnesses, if not the major one. Many organizations choose to use Claude Code not through Anthropic plans bu

Every week in AI feels big. But some weeks, if you look past the product launches and funding rounds, you can spot something structural… Continue reading on Med

How pose estimation, biomechanics heuristics, and LLM coaching come together in a Dockerized full-stack MVP. Continue reading on Medium »

Most prompts do not fail because the model is dumb. They fail because the prompt is vague — it leaves the model to guess the role, the format, and the edge case

Building a small command center with ZipperGen Continue reading on Medium »

Building a Self-Healing Multi-Step Generation Pipeline for Production AI Continue reading on Medium »

Claude created extreme bureaucracy, Gemini chose arson, ChatGPT starved, and Grok… well  Continue reading on The Copy Files »

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The rise of small language models The post How to Choose Between Small and Frontier Models appeared first on Towards Data Science .

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Breaking down Anthropic’s team bots, the hidden security flaws in reasoning blocks, and why routing beats brute force. Continue reading on Artificial Intelligen

Over the past few months, I've been building an AI-powered code review tool for my team. Nothing groundbreaking — just something that catches common issues befo

From the desk of someone who’s spent too long debugging schwa deletion — Kupe AI Continue reading on Medium »

Most people are still talking about “prompting.” The people building real things have moved on to a different vocabulary entirely. Continue reading on Medium »

Lots of new releases lately so thought it'd be nice to compare some new ones. Let's walk through an example real world issue comparing HumanLayer using GPT 5.5

Introduction to the AI Model Showdown The world of artificial intelligence (AI) has witnessed tremendous growth in recent years, with various models being devel

A few months ago, I was building a little tool to automatically extract event details from support emails. You know the drill: someone writes "Hey, can we sched

How vet Uses LLM Judge for Code Review Continue reading on Medium »

A world model that remembers what’s behind you. None of this is science fiction anymore, and most of it is free. Continue reading on Predict »

Research at MIT found individual neurons that represent time and space. Continue reading on Medium »

If you want an AI tool to understand a book, isolated highlights are only the beginning. Continue reading on Medium »

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What Model Context Protocol actually is, why it matters beyond developer circles, and how tools like Walter MCP are changing the way AI… Continue reading on Sta

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Over the last two years, Prompt Engineering became one of the most discussed topics in Artificial Intelligence. Thousands of tutorials… Continue reading on Medi

I build Claude Code skills that run in production — an audit-document generator, a lead-finder that isn’t allowed to hallucinate. Most… Continue reading on Medi

OpenAI didn’t ship one new model. It shipped three, Sol, Terra, and Luna, and then claimed a state-of-the-art win on the one benchmark it… Continue reading on T

ChatGPT Prompt Engineering for Freelancers: Unlocking the Power of AI for Business Growth As a freelancer, you're constantly looking for ways to optimize your w

Claude Code and Kiro have something funny in common: underneath, they’re powered by the same Claude models. Same brain. They just grew up… Continue reading on M

In recent times, there has been a significant rise in people using LLMs to solve questions in coding contests. Continue reading on Medium »

Apple's newest on-device model carries about 20 billion parameters, and on any given request it fires maybe one to four billion of them. That gap — 20B stored,

Google's NotebookLM is great. But handing your research notes, PDFs, and meeting transcripts to Google's cloud is a hard sell for a lot of people — especially w

AI personhood is not the same as Artificial Sapiens. The real question is not whether AI should become a legal person, but how Artificial… Continue reading on M

The goal is to build the simplest system that answers correctly, reliably, and economically. Continue reading on Medium »

A Tokyo startup just matched Anthropic’s best models without ever touching them. I’m still sitting with that. Continue reading on Everyday AI »

Cutting LLM Costs 40x Without Killing My p99 Latency I'll be honest — when I first saw the bill for our OpenAI usage last quarter, I almost choked on my coffee.

I sometimes write Python scripts to parse/scrape HTML. eg: Tally up data and create a frequency hash table of results. Like using BS4 to extract data and then t

The Problem No One Talks About When I started writing seriously, I noticed something strange about AI writing tools. Every tool I tried had the same basic assum

I spent four articles on a single stubborn idea: that you cannot trust an AI agent to review documentation just because it tells you it did. The whole point was

In 2026, these 10 AI skills will be worth more than a college degree. No one is left out of the working world’s future. While universities… Continue reading on

Why extraction evals should track how much human work each error creates, not just whether the model was right or wrong. Continue reading on Medium »