THE VIDEO SHELF · research career advice
Hamming, "You and Your Research" (June 6, 1995)
Richard Hamming's 1995 recording of his talk 'You and Your Research', drawn from his graduate engineering course. He discusses how great scientists pick important problems and build careers, drawing on his years at Bell Labs.
Why HN readers recommended it
HN recommends it as career and research advice on choosing important problems and doing first-class work.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- securitylectures
- Topic
- research career advice
- Format
- lecture
- Level
- general
- HN recommenders in dataset
- 11
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2012–2023
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.
It's been posted here before, but Hamming's talk "You and Your Research" is one for the ages. [VIDEO] Hamming passed in 1998, this talk was given about three years earlier. So much sage advice as compiled over a very long and fruitful career.
jgalt212 on Hacker News · 2016-04
In Richard Hamming on Artificial Intelligence (1995) [video]Richard Hamming developed error-correcting codes while working along side Shannon at bell labs, his book The Art and Science of Engineering: Learning to Learn and the associated lectures he gave at the naval postgraduate academy are tremendous [VIDEO]
f00_ on Hacker News · 2018-01
In Fifty Years of Shannon Theory (1998) [pdf]Richard Hamming: You and Your Research It's on picking the right problems. When I heard him give it I was shocked that he criticized Einstein for working on a unified field theory (of course unlike me, he was actually qualified to offer such criticism). His …
gumby on Hacker News · 2019-01
In Ask HN: What tech talk does everyone need to see?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.