Scott Leibrand

Looking good now in testing: ``` Temp refreshed: monitor/temp_basal.json: {"duration":51,"temp":"absolute","rate":0} Autotune exists! Hoorah! You can use microbolus-related features. {"iob":0.295,"activity":0.0075,"basaliob":-0.095,"bolusiob":0.389,"netbasalinsulin":-2.5,"bolusinsulin":5.9,"time":"2023-08-20T04:39:38.000Z","iobWithZeroTemp":{"iob":0.295,"activity":0.0075,"basaliob":-0.095,"bolusiob":0.389,"netbasalinsulin":-2.5,"bolusinsulin":5.9,"time":"2023-08-20T04:39:38.000Z"},"lastBolusTime":1692497386000,"lastTemp":{"rate":0,"timestamp":"2023-08-19T21:29:15-07:00","started_at":"2023-08-20T04:29:15.000Z","date":1692505755000,"duration":0.03}} {"delta":-1,"glucose":152,"noise":null,"short_avgdelta":-0.17,"long_avgdelta":3.46,"date":1692504407000,"last_cal":0,"device":"share2"} null No deliverAt found. {"reason":"If current system time Sat Aug...

That's not a software installation problem, that's a problem with your OpenAI account. You can go to https://beta.openai.com/account/usage to see your overall daily/cumulative usage, and a breakdown of a given...

For comparison, here's what I see on https://beta.openai.com/account/usage for the two script runs used to generate the https://github.com/scottleibrand/gpt-summarizer/tree/main/examples. At $0.02 per 10k tokens, that totals to $0.76 worth of usage...

That has a TOC that was tripping up my code, in the format: ``` Contents Introduction 1. Background 2. Cubulation of hulls 3. Quasiflats and asymptotic cones 4. Orthants and...

[HHS_quasiflats.tar.gz](https://github.com/scottleibrand/gpt-summarizer/files/10273766/HHS_quasiflats.tar.gz) [HHS_quasiflats.overall_summary.txt](https://github.com/scottleibrand/gpt-summarizer/files/10273770/HHS_quasiflats.overall_summary.txt)

That overall summary is only based on the first 3000 tokens of the section summaries: ``` Exceeded 3000 tokens, stopping concatenation of summaries Overall summary written to /Users/sleibrand/Downloads/HHS_quasiflats.overall_summary.txt ```

It should probably summarize each section based on the section part summaries, and then use only the section summaries to generate the overall summary, but that didn't work in this...

`python summarize.py paper.pdf` will only work if the summarize.py is in your the directory you're currently in. If it's in some other directory, you need to provide the path to...

Can you share which LLM model, prompt, and context (repositories, etc.) were used to generate this report? It's missing some context that likely mitigates these concerns in practice, and shows...

This is likely caused by https://github.com/MarkMpn/AutotuneWeb/issues/54 If they don't have it sorted by next weekend, I'll take a look at updating the repo to work with modern dependencies.