I’m gonna start a column on cool blog posts I found, that got 0 or minimal traction. I suspect I will also have no traction doing that 🤦‍♂️.

The Problem

I really enjoy thoughtful writing on deep technical problems. It’s even better when one sees thoughtful comments, that further contribute new directions to throughts presented. HackerNews is where most of that writing tends to land. Unfortunately it tends to not do well vs trendy, click-baity, etc content. Twitter is even worse.

First, a blog post on my tooling for reading HN.

The Problem

Ukraine had a lot of power outages due to Putin’s bombing of our power infrastructure, I needed to switch to fiber + battery-backup to continue able to able to work.

I’m at a rental apartment and I’m not allowed to drill walls. The idiot that layed the internet into the apartment used a 4-wire cat5 cable to save a few pennies, then cemented it in.

TLDR: I prompt-engineered the system prompt in chatcraft to turn it into a github analytics tool: github analyst chat . Longer Story I suggested to David that we have a newsfeed of new features on chatcraft.org . He replied that we should try to use chatcraft.org to generate those. Found simonw’s blog post on using a public clickhouse instance. Used David’s new “edit system prompt” feature in combination with my “Run Code” feature with the new-sh chatgpt-16k model to chat with the rather wide github history table in clickhouse.

chatcraft.org is my open source project for working with GPT. It completely changed how I work. Cool thing about chatcraft is that it’s completely client-side, almost completely stateless(except for sharing) on serverside. I am also working on a project that uses LLMs to help navigate a knowledge base. Making a wrong tech choice there could kill my project. Few thoughts from that perspective: The 3 YOLOs of LLM development “You only live once” (YOLO) is a modern adaptation of the Latin phrase “Carpe diem,” which means “Seize the day.

George Holtz (geohot) just raised $5M for tinygrad and plans to sell a $15,000 Machine Learning AMD Epyc box with AMD 7900 XT video cards. At first glance, this seems like a really risky investment into a low-margin commodity hardware company. AMD can’t compete with NVidia, so how can we expect geohot to compete with NVidia on AMD hardware? Well, I’ve been following geohot for a long while. He delivers what he promises, but does it years later and on different hardware than initially promised :) Here’s the timeline of my evolution alongside George that informs my conviction:

Ah, the world of software! A place where creativity and collaboration come together to create amazing projects. But sometimes, this world can be a bit… confusing. Let me tell you a story about the frustration of open source naming, featuring our protagonist: PGVector. Once upon a time, I though that pgvector was a postgresql extension. And that langchain did not support SQL storage out of the box. After reading the source, turned out there were three things named PGVector: