Show HN: State of the Art of Coding Models, According to Hacker News Commenters
The article presents a method for auditing coding model evaluations based on sentiment analysis of Hacker News comments. Results are logged in a Google Sheet, allowing transparency and verification through direct access to comment IDs and sentiment data. Users can view the data and embedded charts to assess community sentiment toward various coding models.
- ▪The author created a system to audit coding model evaluations using Hacker News comment sentiment.
- ▪Results are recorded in a publicly accessible Google Sheet with comment IDs and sentiment classifications.
- ▪Each comment can be viewed by appending its ID to the Hacker News item URL.
- ▪An embedded chart visualizes the sentiment data and is sourced directly from the Google Sheet.
Opening excerpt (first ~120 words) tap to expand
I wanted the ability to audit the process and the results, for debugging and for occasional sanity checks of the model outputs. So the results are logged to a Google Sheet, where you can see the comment IDs that mention specific models and the sentiment that the model determined for that comment and model. You can open a comment by appending the comment ID to https://news.ycombinator.com/item?id=. The chart below is embedded from Google Sheets. If it doesn't load for you, you should be able to see the same chart by opening the Sheet directly.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News: Front Page.
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