Recent submissions

Comment · 2 months ago
"If you’re searching for an air fryer, Amazon already knows quite a bit. They know the best-reviewed, least-returned, best-priced model. The only purpose of the ads is to get you to pick an air fryer that isn’t that one (or for the best air fryer, to keep you on track to buy the one you wanted in the first place)"

I don't get this part. Aren't those things unrelated? The aim of ads is to convince to buy regardless of the quality and other data points.

Comment · 2 months ago
Nice one! Really shows why we should run those in sandboxes without env access. I like the proxy swap approach
Comment · 3 months ago
Priced in before the event then?
Comment · 3 months ago
I liked the ending well said
Comment · 7 months ago
What's the dataset used for this task? How does one prevent data leakage on the experiment itself? Are we asking about past events to predict the future?
Comment · 7 months ago
Why not grep the output to abother tool?
Comment · 7 months ago
Comment · 7 months ago
Comment · 7 months ago
Can't we just iteratively inspect the network traces then? We don't need to consume the whole 2mb of data, maybe just dump the network trace and use jq to get the fields to keep the context minimal. I haven't added this in https://news.ycombinator.com/item?id=47207790 , but I feel it would be a good addition. Then prompt it with instructions to gradually discover the necessary data.

But then I wonder, where the balance is between a bunch of small tool calls, vs one larger one.

I recall some recent discussion here on hn on big data analysis

Comment · 7 months ago
Comment · 7 months ago
Comment · 7 months ago

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton