dalf · HackerTrans

一昨日議論

At another layer :

Llama.ttf: A font which is also an LLM

https://fuglede.github.io/llama.ttf/

https://news.ycombinator.com/item?id=40766791 (June 23, 2024)

dalf

8 か月前議論

This blog post was really helpful to understand the ecosystem: https://alpopkes.com/posts/python/packaging_tools/

It mentions uv at the end and rye at first (which use uv internally).

dalf

10 か月前議論

I remember the kettle took forever at ~ 9000 ft (near Huanglong, Sichuan Province).

dalf

10 か月前議論

You might not have a fork if you dine with philosophers

( https://en.wikipedia.org/wiki/Dining_philosophers_problem )

dalf

10 か月前議論

Disclaimer: this is an *hypothesis* I made, all this might be wrong:

* A social graph is built from various sources <-- this is where I wonder what the sources are, what is extracted?

* If I'm connected to Bob, I will see content related to his interests : It appears that the system tries to pick video channels related to me, but the video selection is skewed towards Bob's topics. It seems that Bob's topic embeddings are mapped to the text embeddings of video thumbnails (same for the video titles but with less weight). Since the context is small, sometimes it's off.

* If you refresh the page, it may return to your original recommendations, unless new data from external sources is fed into the algorithm. What's scare me: I wonder if the feed is in near real time. If this is the case, that's explain why my recommendation are as usual and sometimes completely off track for me but related to some people I know.

* It might buffer some topics : if you connect again with Bob but there are no new topics, it gives back the old topic related to Bob.

Once again, this is a pill of a lot of gueses.

---

I really wish to go back to the previous algorithm which one of the reason I subscribed to YT premium, now it's just a minefield.

dalf

11 か月前議論

similar post 4 months ago:

Synology Lost the Plot with Hard Drive Locking Move (servethehome.com) https://news.ycombinator.com/item?id=43734706

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