THE VIDEO SHELF · future of programming
In Search of Tomorrow
Chris Granger, creator of Light Table and the Eve language, gives a Berkeley data science lecture on what computation and programming might look like in ten years. He covers the path that led to Eve and ends with demos.
Why HN readers recommended it
HN keeps pointing to it as a thoughtful vision of programming for non-programmers and as background on Eve's motivations.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Berkeley Institute for Data Science (BIDS)
- Topic
- future of programming
- Format
- lecture
- Level
- intermediate
- HN recommenders in dataset
- 9
- HN mentions in dataset
- 14
- Recommendation years in dataset
- 2015–2018
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.
I absolutely loved the semantic wiki stuff that was shown towards the end of the "In search of tomorrow" video. This seems fairly different to that system. Is there a write up/talk about why you changed? Is there anything like that semantic wiki thing available …
kybernetikos on Hacker News · 2016-10
In Eve: Programming designed for humansChris Granger's latest experiments with Eve (github.com/witheve) look surprisingly like a semi-structured personal knowledge system. Take a look at the last 15 minutes or so of this video for a demo: [VIDEO] (the whole video is interesting for the evolution of it)
dangoor on Hacker News · 2015-12
In The Sad State of Personal KnowledgebasesI just came across this a few days ago on HN: [VIDEO] [LINK] Eve, the new "programming" tool developed by Chris Granger of Light Table fame, looks absolutely amazing for this use case. I personally can't wait to try it out.
lewisl9029 on Hacker News · 2015-12
In The Sad State of Personal Knowledgebases
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.