Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for Llama for the week ending July 24, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Gemini 3.1 Flash Image Preview.
Category cover image prompt:
A majestic llama in regal profile at the center of a deep cosmic purple-black sky, its wool rendered as flowing rainbow ribbons of hot magenta, electric orange, acid yellow, lime, turquoise, and violet rippling like sound waves, haloed by a descending mothership beam and surrounded by starburst sparkles, with the word LLAMA arcing above in fat rounded 1970s funk letters with chrome and glitter fills and stacked multicolor drop shadows, Afrofuturist psychedelic concert poster style, one clear central subject, balanced composition with breathing room.
This Week in Llama News
Here’s a quick AI-generated summary by Claude Sonnet 5.5, based on the headlines and excerpts accompanying this week’s links:
Ethan Mollick called Kimi K3 a very good model but warned that people are leaning too hard on its Arena score, comparing it to the Llama 4 episode. He argued that Arena ratings come from users voting on responses, which makes them limited, and that subjective chat answers are relatively easy to tune toward what voters prefer.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to Llama
Kimi K3 is a very good model, but people are overindexing on an Arena score again (remember Llama 4?) ELO scores as judged by Arena users are limited, and front-end is like text chat, relatively easy to train/system prompt to a state that people prefer when it is subjective.”
https://x.com/emollick/status/2077969350573572490
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