THE VIDEO SHELF · computer architecture
Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
Lex Fridman interviews chip architect Jim Keller about the future of computing, AI, life and consciousness. Topics include CPU design, branch prediction and why imperfect designs often win.
Why HN readers recommended it
Recommended as a stellar long-form interview with someone both very smart and wise, mined for CPU design insights.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Lex Fridman
- Topic
- computer architecture
- Format
- interview
- Level
- intermediate
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 8
- Recommendation years in dataset
- 2021–2023
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.
Something I have taken to doing these days is playing some mindless but fun game while listening to long-form interviews or talks. As a random example, these days I'm playing Slipways[1], but Diablo-style games or factory/builder games are also suitable. Meanwhile I like to listen …
jiggawatts on Hacker News · 2022-11
In Ask HN: Have you stopped reading most news?K8 seems pretty small after he made the fucking Zen architecture (and Tesla AI). Lex has good interviews with Jim[1], he's not just very smart, he is wise. He started Tenstorrent some time ago with Ljubisa Bajic so I'm assuming this fab is related. Here …
comboy on Hacker News · 2023-02
In Sam Zeloof and Jim Keller start a new semiconductor fabI didn't make the connection until now, but Jim Keller was on the Lex Fridman podcast twice [1, 2] and it was awesome. In terms of founders this is pretty great team. [1] [LINK] [2] [VIDEO]
WestCoastJustin on Hacker News · 2023-04
In Second IC – Homemade 1000 transistor array chip
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.
