things i looked at vol 2
i began this week by closing lots of tabs. i have since opened many more! here are some of them and more:
- People keep chatting about wardley maps but I still can't get my head round them
- Ground News - Highlighting the difference in coverage of news stories depending on the political leaning of the source.
- oh no I think I need to try and understand the star schema for data models
- time for YouTube: Data Modeling Tutorial: Star Schema (aka Kimball Approach) and Let's Compare the Kimball and Inmon Data Warehouse Architectures
- a lot of time has been spent looking at the weather forecast. i sit next to the window. why do I look on the computer to see if its raining? 🤦♀️
- I came across this LLM Visualization (bbycroft.net) which I haven't fully run through as the number of tabs I have open is impeding it. i love things like this. its a visual walk through of how an LLM works. it reminded me of a visual representation of word embeddings I saw ages ago so I spent ages trying to find it
- it was the TensorBoard Embedding Projector
- during my search I also came across Perplexity: interactive LLM visualization which is very cute for visualising an LLM scoring words as it goes, and seeing how it adapts as it "understands" the context of a sentence
- and Engineering Principles for Building Financial Systems (wasteman.codes) is in the "not relevant to my work but very interesting" category
- someone commented on the HN post for the LLM Visualisation
"My jaw drop to see algorhythmic complexity laid out so clearly in a 3d space like that. I wish I was smart enough to know if it's accurate or not."
and another person responded
"To know, you must perform intellectual work, not merely be smart. I bet you are smart enough."
which I thought was lovely, and important, so I put it in one of my Notion scrapbooks