220 karma · joined December 10, 2017
Yes, the underlying dataset very much conditions the quality of the responses. Additionally, the retrieval strategy is also a really important factor (and that is something which I haven't had time to extensively optimize).
I'm writing a blog post that will answer your questions! Will post it here when it's fully baked.
Tech stack is https://news.ycombinator.com/item?id=40238913 + the addition of turbopuffer for the new functionality.
- https://x.com/janleike/status/1791498187313963308
- Screenshot copy https://jnnnthnn.com/leike.png
GPT-4o outperforms all local models so I figured using it as a fallback was the right approach :)
Try clicking on the relative time (e.g. "over 1 year ago"). Should take you immediately to that comment on HN, and you can then hit back in your browser to return to Hacker Search.
Agreed on the extension. That's coming next!
As to your second question, someone looked up “What are some famous Google office pranks?” (https://hackersearch.net/ask?q=What%20are%20some%20famous%20...?) earlier today and I found some gold in there. Some of the hot takes on Gary Marcus have cracked me up too (https://hackersearch.net/ask?q=what%20do%20you%20think%20of%...?).
As far as I know, this is the first integration of other cloud products in ChatGPT that's done as a 1st party integration (vs. "GPTs", which are all 3rd party)?
https://ollama.com models also works really well on most modern hardware