THE VIDEO SHELF · sustainable computing
"An approach to computing and sustainability inspired from permaculture" by Devine Lu Linvega
Devine Lu Linvega of Hundred Rabbits talks about low-power, offline computing, esoteric languages and the Uxn virtual machine, informed by years of sailing the Pacific. The talk frames computing sustainability through a permaculture lens.
Why HN readers recommended it
Praised as a standout, non-standard Strange Loop talk explaining the reasoning behind Uxn and resilient computing.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Strange Loop Conference
- Topic
- sustainable computing
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 4
- Recommendation years in dataset
- 2023–2024
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
A bunch of great talks at Strange Loop this year! Two off the top of my head: • "An approach to computing and sustainability inspired from permaculture" by Devine Lu Linvega: [VIDEO] • "The Economics of Programming Languages" by Evan Czaplicki (Strange Loop 2023): [LINK] …
surprisetalk on Hacker News · 2023-11
In Ask HN: What's your favorite tech talk from the past year?Devine had a great talk about the "why" of Uxn at Strange Loop last year: [VIDEO] And there was another talk that used it as an example: [LINK] Both were great. I'm a big fan of 100R's work. Another language of theirs worth checking out …
levicole on Hacker News · 2024-03
In Tal is the programming language for the Uxn virtual machine (2021)My favourite quote from Devine: "If you stand on the shoulder of giants, it's really hard to steer". [VIDEO] @ after around the 6:00 mark.
danybittel on Hacker News · 2023-11
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Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.