Now

May

• mjml
• Tauri

• Personal Responsibility under a Dictatorship— Hannah Arendt

April

• Claude Design
• Marimo

• Shogun— James Clavell
• Hvis jeg ikke ringer i morgen— Kim Eg Thygesen

March

• Marimo notebooks
• Kubernetes

• History of War in 100 Battles— Richard Overy
• Shoshin— Hiroshi Nakamura

February

• 初心
• Pandas
• OpenCode with Devstral Small 2

• Domain-Specific Small Language Models— Guglielmo Iozzia

January

• Enneagram
• 無心
• Mistral (functions)

• Russerne kommer— Tom Buk-Swienty

December

• 改善 初心 生き甲斐

• Kaizen - et lille skridt kan ændre dit liv— Robert Maurer

November

• 日本語

• Kryssing - Manden, der valgte forkert— Thomas Harder

October

• Claude Code commands

• Range— David Epstein

September

• Claude Code (subagents)

• Tælle til en, tælle til to— Jørgen Svejstrup

August

• Claude Code (subagents)
• MCP servers

• L'Heure des Prédateurs— Giuliano da Empoli

July

• Knowledge graphs
• RAG
• Claude Code

• Essential GraphRAG— Tomaž Bratanič & Oskar Hane
• Adopting Elixir— Ben Marx, José Valim, Bruce Tate
• Genesis— Henry A. Kissinger, Eric Schmidt, Craig Mundie

June

• html to pdf
• DeepSeek R1, Qdrant

• Real-World Event Sourcing— Kevin Hoffman

May

• Raycast
• Productivity

• Berlin brænder— Tom Buk-Swienty

April

• Svelte
• Elixir Phoenix & LiveView

• The Idiot— Fyodor Dostoyevsky

March

• Pydantic AI
• Model Context Protocol

• Learn Japanese— Paul Noble
• Shogun— James Clavell
• Personforsikring— Inge Brabrand

• How Transformer LLMs Work— DeepLearning.AI

February

• Obsidian
• 3 Echonomies
• DDD
• Modular Monolith

• Norwegian Wood— Haruki Murakami
• Software Engineering at Google— Titus Winters, Tom Manshreck and Hyrum Wright

January

• Rust
• Docling, Neo4J

• Software Engineering at Google— Titus Winters, Tom Manshreck and Hyrum Wright
• Gid min chef var høvding— Dennis Nørmark
• Empire of the Summer Moon— S. C. Gwynne

• ISTQB Foundation— Testhuset

December

• LLM - basics (Elixir)
• DuckDB, Polars, Pandas

• The Castaway— W. W. Jacobs
• It Doesn't Have to Be Crazy at Work— Jason Fried & David Heinemeier Hansson
• Vikingernes Helte— Niels Saxtorph
• Build a Large Language Model (From Scratch)— Sebastian Raschka

• Knowledge Graphs for RAG— DeepLearning.AI

November

• Knowledge graphs
• LLM - basics (Python)
• Elixir: Livebook, Nx, Explorer

• The Edgar Allan Poe Collection— Edgar Allan Poe
• Build a Large Language Model (From Scratch)— Sebastian Raschka

• Knowledge Graphs for RAG— DeepLearning.AI

October

• LLM - basics

• 1000-årsriget— Tonny Gulløv
• Seikatsu (生活)— Asger Røjle Christensen

September

• Structured Output - OpenAI
• Change Management
• Multimodal RAG

• Det ensomme hjerte— Tom Buk-Swienty
• Zen: The Art of Simple Living— Shunmyo Masuno
• Ulvehjerter— Puk Damsgård

• Japanese level A2 (まるごと)— FOF
• Prompt Compression and Query Optimization— DeepLearning.AI

August

• Mojo
• FastHTML
• Multimodal RAG

• Imminent— Lois Elizondo
• Kan man tænke sig rask— Thomas Breinholt
• What is ChatGPT Doing...and Why Does It Work?— Stephen Wolfram
• Die Welt von Gestern: Erinnerungen eines Europäers— Stefan Zweig

• Systems Thinking Course— Dave Shapiro / Patreon

July

• Multimodal RAG
• Embeddings, Voyage
• Pandas AI

• The Little Prince— Antoine de Saint-Exupéry
• Siddhartha— Hermann Hesse
• Artemis— Andy Weir

• Building Multimodal Search and RAG— DeepLearning.AI

June

• Embeddings, Nomic, Llama3, OpenAI

• AI Epoken— Anders Bæk
• Project Hail Mary— Andy Weir
• Uncommon Sense Teaching— Barbara Oakley & Terrence J. Sejnowski

• Building Multimodal Search and RAG— DeepLearning.AI

May

• LlamaIndex, RAG and ChromaDB
• BDD / Behave

• Den Falske Løjtnant— Martin Q. Magnussen
• Before The Coffee Gets Cold (コーヒーが冷めないうちに)— Toshikazu Kawaguchi
• Uncommon Sense Teaching— Barbara Oakley & Terrence J. Sejnowski
• Book You Wish Your Parents Had Read— Philippa Perry

• Open Source Models with Hugging Face— DeepLearning.AI
• Systems Thinking: Essential Concepts— Udemy
• Beginning Llamafile for Local Large Language Models— Coursera

April

• Systems Thinking
• Web Assembly
• BDD / Behave

• Factfulness— Hans Rosling
• En dag i Ivan Denisovitjs liv— Aleksandr Solsjenitsyn
• Turn the Ship Around!— L. David Marquet

• Agile Leadership: Introduction to Change— Coursera / University of Colorado System
• Systems Thinking: Essential Concepts— Udemy
• LLM University— Cohere
• Red Teaming LLM Applications— DeepLearning.AI

March

• Domain Storytelling
• Pydantic

• Magteliten— Markus Bernsen, Christoph Ellersgaard & Anton Grau Larsen
• Domain Storytelling— Stefan Hofer & Henning Schwentner
• Gopler ældes baglæns— Nicklas Brendborg

• LangChain Chat with Your Data— DeepLearning.AI
• Large Language Models with Semantic Search— DeepLearning.AI

February

• Weaviate
• AlpineJS
• Polars
• Pydantic

• Change By Design— Tim Brown
• Dit selvhelbredende sind— Mette Louise Holland
• Streamlit for Data Science— Tyler Richards

• Developing a Systems Mindset— Coursera / University of Colorado Boulder

January

• Weaviate
• LangChain
• Ludwig (ludwig.ai)
• AlpineJS

• You're Not Listening— Kate Murphy
• UFO-Mysteriet— Frederik Dirks Gottlieb
• The Case Against Reality— Donald D. Hoffman

• Developing a Systems Mindset— Coursera / University of Colorado Boulder
• Vector Databases: from Embeddings to Applications— DeepLearning.AI

December

• Vector Databases
• Scikit Learn
• LangChain

• Sapiens— Yuval Noah Harari
• Encounters— Diana W. Pasulka
• Atomic Habits— James Clear

• LangChain for LLM Application Development— DeepLearning.AI
• Unsupervised Learning, Recommenders, Reinforcement Learning— Coursera / DeepLearning.AI

November

• Scikit Learn
• MemGPT
• InsightFace library
• Zettelkasten & Obsidian
• OpenAI GPT 4.0

• Software Engineering at Google— Winters, Manshreck & Wright
• Die Vermessung der Welt— Daniel Kehlmann

• Generative AI for Everyone— Coursera / DeepLearning.AI

October

• Llama with Ollama
• Scikit Learn
• llama-index
• Figma, Dall-E and Midjourney
• InsightFace library

• grokking Machine Learning— Luis G. Serrano
• Jytte vender tilbage— Morten Münster

• Advanced Learning Algorithms— Coursera / DeepLearning.AI

September

• Machine Learning theory & application
• OpenAI API - ChatGPT 4.0
• Midjourney

• Jytte fra Marketing er desværre gået for i dag— Morten Münster
• Viking— Jeanette Varberg

• Japanese — level A2 (Marugoto)— FOF Lyngby 2023–2024
• Supervised Machine Learning: Regression and Classification— Coursera / DeepLearning.AI
• Probability & Statistics for Machine Learning and Data Science— Coursera / DeepLearning.AI
• Building Systems with the ChatGPT API— DeepLearning.AI

August

• OpenAI API - ChatGPT 3.5
• Midjourney

• Scary Smart— Mo Gawdat

• Calculus for Machine Learning and Data Science— Coursera / DeepLearning.AI
• Linear Algebra for Machine Learning and Data Science— Coursera / DeepLearning.AI
• Statistical Learning— StanfordOnline — STATSX0001

July

• Machine Learning theory & application
• Chat with your PDF (OpenAI, HuggingFace, Streamlit)
• OpenAI API — Davinci, ChatGPT 3.5
• Midjourney
• Ontology, metatheory
• Barefoot training

• Middelalderen i Danmark— Niels Knud Liebgott
• Fat Chance! Probability from 0 to 1— Benedict Gross, Joe Harris & Emily Riehl
• The Hundred-Page Machine Learning Book— Andriy Burkov

• Fat Chance: Probability from the Ground Up— HarvardX — FC1x

June

• Machine Learning theory & application
• OpenAI API - ChatGPT 3.5 & Whisper
• Midjourney
• Pyscript
• Mojo

• The Alchemist— Paulo Coelho
• Frankenstein— Mary Shelley

• Building Systems with the ChatGPT API— DeepLearning.AI

May

• Machine Learning theory & application
• OpenAI API
• Midjourney
• HuggingFace
• ChatGPT
• Python, Elixir Nx
• Anaconda 2023.3
• AlpineJS, Tornado & Websockets

• Modern Software Engineering— David Farley
• Pirate Latitudes— Michael Crichton

• ChatGPT Prompt Engineering for Developers— DeepLearning.AI

April

• Gradio, OpenAI, Whisper, AssemblyAI
• Python, Elixir Nx, Julia
• Midjourney
• Pandas 2.0
• Github Copilot X
• Playwright

• The Andromeda Evolution— Daniel H. Wilson and Michael Crichton
• Ikigai— Héctor García and Francesc Miralles

• MIT 6.S191: Introduction to Deep Learning— YouTube

March

• SQLite
• Arrow
• Pandas
• Polars

• Niels Bohr - Det beskedne geni— Charlotte Koldbye
• ZOV— Pavel Filatjev
• Stalingrad— Antony Beevor

December 2022 – February

• Lær at præstere, når du skal— Lars Robl
• Kaptajn Dinesen - Ild og blod— Tom Buk-Swienty
• Safari fra helvede— Tom Buk-Swienty

February – September

• Rust (primarily WASM)
• TypeScript, Vue 3 and Nuxt 3
• Python and Pandas

• Philosophy of Science: A Very Short Introduction— Samir Okasha
• Butcher's Crossing— John Williams
• What Every BODY is Saying— Joe Navarro & Marvin Karlins
• Tuesdays with Morrie— Mitch Alborn

• The Hardware of a Quantum Computer— DelftX — QTM2x

June 2021 – January

• Quantum Computing
• Qiskit
• Linear Algebra in QC

• Leading Change: Why Transformation Efforts Fail— John P. Kotter
• Extraterrestrial— Avi Loeb
• Quantum Computing for Everyone— Chris Bernhardt
• In Plain Sight— Ross Coulthart
• Blood and Thunder— Hampton Sides

• Introduction to quantum computing for everyone— UChicagoX — QUAN11000
• The quantum internet and quantum computers: how will they change the world?— DelftX — QTM1x