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simonw 6 days ago

Here's a summary of this Hacker News thread created by GPT-4.1 (the full sized model) when the conversation hit 164 comments: https://gist.github.com/simonw/93b2a67a54667ac46a247e7c5a2fe...

I think it did very well - it's clearly good at instruction following.

Total token cost: 11,758 input, 2,743 output = 4.546 cents.

Same experiment run with GPT-4.1 mini: https://gist.github.com/simonw/325e6e5e63d449cc5394e92b8f2a3... (0.8802 cents)

And GPT-4.1 nano: https://gist.github.com/simonw/1d19f034edf285a788245b7b08734... (0.2018 cents)

krat0sprakhar 6 days ago | parent | next [-]

Hey Simon, I love how you generates these summaries and share them on every model release. Do you have a quick script that allows you to do that? Would love to take a look if possible :)

jimmySixDOF 6 days ago | parent | next [-]

He has a couple of nifty plugins to the LLM utility [1] so I would guess its something as simple as ```llm -t fabric:some_prompt_template -f hn:1234567890``` and that applies a template (in this case from a fabric library) and then appends a 'fragment' block from HN plugin which gets the comments, strips everything but the author and text, adds an index number (1.2.3.x), and inserts it into the prompt (+ SQLite).

[1] https://llm.datasette.io/en/stable/plugins/directory.html#fr...

simonw 5 days ago | parent | prev [-]

I use this one: https://til.simonwillison.net/llms/claude-hacker-news-themes

ilrwbwrkhv 6 days ago | parent | prev [-]

Now try Deepseek V3 and see the magic!