In the first post of this series, I introduced the Agent Storybook Project (ASP), an open-source multi-agent system on GKE that adapts public-domain classics into illustrated …
Category: AI and Machine Learning
In case you missed it, in the first post of this series, I introduced the Agent Storybook Project (ASP)—an open-source multi-agent system running on GKE that adapts classic public-domain literature into illustrated …
A couple months ago I had an idea for a novel (hehe 😏) project: I wanted to build an agent that would adapt a classic Russian book into a children’s book for my friend. …
Four shapes, one cluster, very different operational headaches.
“Agent” is doing some heroic heavy lifting as a word right now.
Depending on who you ask, an agent might be:
- A python script firing off 10,000 parallel …
Two weeks ago, Model Context Protocol shipped its 2026-07-28 specification revision.
The biggest updates in this release are: no more stateful initialize handshake, Mcp-Session-Id headers have been retired, and every request …
Have you heard the classic story about a county fair where people were guessing the weight of an ox? Nobody was exactly right, but somehow the average of all the guesses was remarkably accurate! Francis Galton wrote an …
I created a skill to save users 40-60% on token costs when migrating AI inference workloads from a serverless platform (like Cloud Run or Gemini Enterprise Agent Platform) to GKE. So what is it? What isn’t it? Why a …
Introduction to Distributed RL Sandboxing on GKE
Reinforcement Learning (RL) is the cornerstone of modern AI training. Rather than train a model to produce an expected output, we verify if it has achieved a particular outcome. This is …
The Am Dash And Discerning Human Writing from AI
Was This Post Written by Gemini?*
The other day I was listening to one of my favorite podcasts talking about AI’s writing style. And of course, they were talking about the Em dash. I’ll let …
Fine-Tuning Mixtral-8x7B: A Deep Dive into a Multi-Node Slurm and FSDP Workflow
Training or fine-tuning large language models like Mixtral-8x7B is a significant challenge due to their large size. Sometimes, to make these …