Here's a summary of this conversation so far, generated using o3 after 306 comments. This time I ran it like so:

  llm install llm-openai-plugin
  llm install llm-hacker-news
  llm -m openai/o3 -f hn:43707719 -s 'Summarize the themes of the opinions expressed here.
  For each theme, output a markdown header.
  Include direct "quotations" (with author attribution) where appropriate.
  You MUST quote directly from users when crediting them, with double quotes.
  Fix HTML entities. Output markdown. Go long. Include a section of quotes that illustrate opinions uncommon in the rest of the piece'

Then again with o4-mini using the exact same content (hence the hash ID for -f):

  llm -m openai/o4-mini \
    -f f16158f09f76ab5cb80febad60a6e9d5b96050bfcf97e972a8898c4006cbd544 \
  -s 'Summarize the themes of the opinions expressed here.
  For each theme, output a markdown header.
  Include direct "quotations" (with author attribution) where appropriate.
  You MUST quote directly from users when crediting them, with double quotes.
  Fix HTML entities. Output markdown. Go long. Include a section of quotes that illustrate opinions uncommon in the rest of the piece'

Cost 2,684 input, 2,681 output (of which 1,088 reasoning tokens) = 1.4749 cents

The above uses these two plugins: https://github.com/simonw/llm-openai-plugin and https://github.com/simonw/llm-hacker-news - taking advantage of new -f "fragments" feature I released last week: https://simonwillison.net/2025/Apr/7/long-context-llm/