Article URL: https://ednamode.xyz/blogs/2.html
Comments URL: https://news.ycombinator.com/item?id=44456379
Points: 15
# Comments: 0

Article URL: https://github.com/Kazedaa/eBAF
Comments URL: https://news.ycombinator.com/item?id=44456389
Points: 12
# Comments: 5
Article URL: https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b
Comments URL: https://news.ycombinator.com/item?id=44456779
Points: 21
# Comments: 11
https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b

Article URL: https://www.contraption.co/postcard-open-source/
Comments URL: https://news.ycombinator.com/item?id=44456827
Points: 7
# Comments: 2
Hi HN, I'm Ben, from K-Scale Labs (https://kscale.dev). We're building open-source humanoid robots.
Hardware video: " rel="nofollow">
Software video: " rel="nofollow">
Docs: https://docs.kscale.dev
Article URL: https://www.commonwealmagazine.org/head-clouds
Comments URL: https://news.ycombinator.com/item?id=44454758
Points: 4
# Comments: 0
TLDR: Build a quick HN profile to see how little context LLMs need to personalise your feed. Rate 30 posts once, get a permanent ranked homepage you can return to.
Our goal was to build a tool that allowed us to test a range of "personal contexts" on a very focused everyday use case for us, reading HN!
We are exploring use of personal context with LLMs, specifically what kind of data, how much, and with how much additional effort on the user’s part was needed to get decent results. The t

Article URL: https://angadh.com/wherevonbraunwheel
Comments URL: https://news.ycombinator.com/item?id=44455022
Points: 7
# Comments: 1

Article URL: https://knightsdigest.com/what-exactly-is-the-peasant-railgun-in-dd-5e/
Comments URL: https://news.ycombinator.com/item?id=44455222
Points: 3
# Comments: 0
https://knightsdigest.com/what-exactly-is-the-peasant-railgun-in-dd-5e/