Tuesday, 29th October 2024
Matt Webb’s Colophon. I love a good colophon (here's mine, I should really expand it). Matt Webb has been publishing his thoughts online for 24 years, so his colophon is a delightful accumulation of ideas and principles.
So following the principles of web longevity, what matters is the data, i.e. the posts, and simplicity. I want to minimise maintenance, not panic if a post gets popular, and be able to add new features without thinking too hard. [...]
I don’t deliberately choose boring technology but I think a lot about longevity on the web (that’s me writing about it in 2017) and boring technology is a consequence.
I'm tempted to adopt Matt's XSL template that he uses to style his RSS feed for my own sites.
You can now run prompts against images, audio and video in your terminal using LLM
I released LLM 0.17 last night, the latest version of my combined CLI tool and Python library for interacting with hundreds of different Large Language Models such as GPT-4o, Llama, Claude and Gemini.
[... 1,399 words]Generating Descriptive Weather Reports with LLMs. Drew Breunig produces the first example I've seen in the wild of the new LLM attachments Python API. Drew's Downtown San Francisco Weather Vibes project combines output from a JSON weather API with the latest image from a webcam pointed at downtown San Francisco to produce a weather report "with a style somewhere between Jack Kerouac and J. Peterman".
Here's the Python code that constructs and executes the prompt. The code runs in GitHub Actions.