Brian Sunter

Using machine learning to automatically organize notes by meaning and exploring them in a browser 3D interface

Uploading a dataset about coffee and using ChatGPT to automatically clean the data, understand insights, and generate cool charts.

Adding GPT-4 and ChatGPT to my Logseq OpenAI plugin, comparing usage costs, and looking at the best new features of GPT-4

Some thoughts on moving to Hawaii and what I'm doing to improve my fitness

Logseq GPT-3 OpenAI popup, YouTube captions plugin updates, and migrating to Substack

New features for the logseq openai plugin and my thoughts on why Large Language Models are interesting

How I use a Bluetooth headphone eye mask to sleep better

What is an algorithm? And why are algorithms important? This guide will help you understand basic algorithms concepts and how to use them to solve problems.

How to get started with Logseq and publish your notes online in 30 minutes.

Integer Sum Formula, Donald Knuth on Email, and Werner Herzog

How can we organize complex tasks that involve multiple steps over multiple days in Logseq?

I go over a few new useful AI and NLP techniques and how to use them for notetaking

I've remade my website using Logseq and the Hugo static site generator.

I wrote a simple introduction to algorithms and why they're important and a short guide to my current logseq-projects template.

Algorithms Bootcamp and the Elon Musk Controversy

This newsletter is a deep dive on using the latest AI techniques for knowledge management and a tutorial on using Logseq for task management.

This week, I wrote a few guides. I released a new plugin to download captions from YouTube directly into your notes to help you study videos. I also include some productivity tips and fun artwork created by OpenAI’s DALL-E image generation technology.

Intro to using AI to take notes and examples from of the community using the logseq openai plugin

My favorite productivity technique, the "Daily Highlight"

Launching my newsletter, public graph, and logseq gpt3 AI plugin

I've started using GPT-3 to create text summaries, outlines and perform many other AI-powered tasks directly within the Logseq notetaking app using a new plugin I developed.

How to set up a Python project with the latest tools and best practices

Daily journal prompts and the 5 minute journal have been helpful to improve my writing skills, productivity, self-awareness, and thinking. I've included a list of journal prompts and journal questions I use for daily journaling , including the five minute journal writing prompts.

By focusing on what is interesting and keeping written track of your own intellectual development, topics, questions, and arguments will naturally emerge without force.

What makes Clojure interesting and well suited for modern software development?

I updated the Logseq GPT-3 OpenAI plugin to have a popup UI and support user-defined commands.

How to implement binary search recursively and iteratively

Describes the Heap data structure, the operations it supports, and its time complexity.

Explanation of the merge sort algorithm

Discusses the recurrence relation for dividing functions, which decrease the number of subproblems by dividing

Discusses the recurrence relation, which is a mathematical notation to describe a sequence of values based on the previous term, which is useful for describing recursion and time complexity.

List of books I read in 2022 with short summaries

Best resources for studying machine learning

Best resources for machine learning

Large language models have a number of interesting properties

How to use the Omnivore read it later app

My review of Soma, a survival exploration game

One of the best introductory courses on algorithms. It's thorough, yet succinct and gives a broad overview of algorithms.

How do we find the sum of the numbers 1 through 100?

Cooklang is like markdown for recipes. It lets you write recipes in a human-readable format that a computer can parse to get the ingredient list, steps, etc.

An introduction to analyzing algorithms, comparing functions, and Big O notation, such as Big O, Theta, and Omega.

Theoretical analysis of algorithms vs benchmarking

Notes from the talk You and Your Research by Richard Hamming, about how to do Nobel Prize level work.

An outline of topics to study machine learning, suggested by GPT

I'm organizing some of my notes on data structures and algorithms in a "boot camp" form.

With a few examples of poodle mixes, it is able to generate names for every poodle mix

Can you create a special purpose tutoring chat bot to teach yourself Chinese internet slang?

How to use GPT-3 to make a Kubernetes Study Guide

An outline of all the most important topics for studying algorithms

John Steinbeck sets out on a road trip across America with his standard poodle, Charley, in search of "the character of the country."