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Show HN: HackYourNews – AI summaries of the top HN stories

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Re: Show HN: HackYourNews – AI summaries of the top HN stories

#44

Post by remexre »

jarulraj wrote: post #37

Congrats on the launch, @ukuina! Neat idea. Would love to learn more about how you are querying the summaries/comments database and how you are planning to extend the queries in this app. Shameless self-plug: We are building EvaDB [1], a query engine for shipping fast AI-powered apps with SQL. Here is an illustrative query for analyzing food reviews stored in Postgres and generating responses for negative reviews: SE…

Probably not the point, but shouldn't you be able to choose to sample only the tokens for "positive" and "negative" (they're both one token!) instead of (or in addition to) needing to put a request for model to restrict its responses in the context?

Re: Show HN: HackYourNews – AI summaries of the top HN stories

#45

Post by jarulraj »

remexre wrote: post #44
jarulraj wrote: post #37

Congrats on the launch, @ukuina! Neat idea. Would love to learn more about how you are querying the summaries/comments database and how you are planning to extend the queries in this app. Shameless self-plug: We are building EvaDB [1], a query engine for shipping fast AI-powered apps with SQL. Here is an illustrative query for analyzing food reviews stored in Postgres and generating responses for negative reviews: SE…

Probably not the point, but shouldn't you be able to choose to sample only the tokens for "positive" and "negative" (they're both one token!) instead of (or in addition to) needing to put a request for model to restrict its responses in the context?

Interesting observation :)

I guess this is the SQL query you have in mind that uses the LIKE operator:

  SELECT ChatGPT("Respond to the review with a solution to address the reviewer's concern", review)  
    FROM postgres_data.review_table  
    WHERE ChatGPT("Is the review positive or negative?", review) LIKE "%positive%"
        AND location = “waffle house”;
From a query processing standpoint, both queries should have equivalent performance -- unless we build an index over the output of the ChatGPT query in EvaDB, in which case the former query would be faster than this one.

Re: Show HN: HackYourNews – AI summaries of the top HN stories

#48

Post by JimA »

Great idea, I would also regularly use this with a few tweaks:

1) Main one - Separate stories more clearly. Maybe slightly outdent, enlarge, or bold the title, or add a little more space between stories so they don't all run together.

2) Some articles don't have content available for no apparent reason (Deciphering Mary Stuart’s lost letters from 1578-1584)

3) Filters would be nice (articles >rating, comment count, etc)

4) Collect a few more pages of articles instead of just one

Re: Show HN: HackYourNews – AI summaries of the top HN stories

#49

Post by rexpop »

> Overall, the comments provide a mix of technical insights, personal experiences, and opinions on the topic.

Yeah, I'll bet.

At first blush, I find this uselessly verbose. I get more out of just the headlines and I am already up to my eyeballs in plausible, zero-content boilerplate. I think our whole society has been since the 90s, frankly. Generally, filtering public comments through a language model reduces signal, papering over real humans' vital perspectives and misattributing to us bland cliche as above.

But congrats on getting something out the door! You have certainly built a tight little integration.

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