HackerTubewatch
Surprise me
Frame from Joe Rogan Experience #1342 - John Carmack Plays via YouTube's privacy-enhanced embed

Joe Rogan Experience #1342 - John Carmack

22 videos recommended on HN
YouTube
3 HN users recommended this podcast episode2 months2019–2020 score 2.5
Years with an HN recommendation, 2007–2026

Recommended as a wide-ranging Carmack interview, noted for his views on work ethic and AGI.

A long Joe Rogan podcast conversation with John Carmack covering his career, work habits, open source, AGI, quantum computing and CPUs.

“Fantastic listen for anyone honestly.” (HN, 2019)

1 strong recommendations · 2 recommendations · 3 citations · Podcasts

6 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@puranjay Oct 2019 Strongly recommends
on HN thread The SpaceX Starship is a big deal
I'm an idiot. I wrote John Cusack when I wanted to write John Carmack. I don't know how I could even confuse the two names. Here's the Carmack podcast where he talks about it. Fantastic listen for anyone honestly. Carmack is a fascinating guy. [this video]
Fascinating Carmack podcast conversation
@tosh Aug 2019 Recommends
on HN thread John Carmack on the Joe Rogan Experience [video]
On open sourcing Wolfenstein, Doom, Quake: [this video] Neuralink: [this video] Artificial General Intelligence: [this video] Quantum Computing: [this video] “Engineering is figuring out how to do what you want with what you’ve actually got”: [this video] End of Moore’s Law / On CPU architecture: [this video] 5G and streaming (games & video): [this video] edit: like already mentioned there are a lot of topics covered, some even for just a few sentences, the conversation flows, worth watching the whole thing
Wide-ranging Carmack interview covering open source, AGI, quantum and CPUs

Citations, criticism and jokes

@leftyted Aug 2019 Cites it
on HN thread John Carmack on the Joe Rogan Experience [video]
Read more
He talks about AGI at [this video] I wonder if all the really smart people who think AGI is around the corner know something I don't. Well, clearly they know a lot of things that I don't, but I wonder if there's some decisive piece of information I'm missing. I'm a "strict materialist" too, but that doesn't mean I think we can build a brain or a sun or a planet or etc within X years, it just means that I think it's technically possible to build those things. I don't see how we get from "neural net that's really good at identifying objects" to "general intelligence". The emphasis on computational power also makes no sense to me. If we had infinite compute today , what steps would you take to build AGI? Does anyone have any good ideas about that? Sometimes I wonder if AGI (and the concept of a "technological singularity") isn't just "intelligent design for people with north of 140 IQ". Maybe really smart people tend to develop a blindspot for really hard problems (because they've solved so many of them so effectively).
Carmack discusses AGI timelines
@nickjj Nov 2019 Cites it
on HN thread John Carmack: I’m going to work on artificial general intelligence
John Carmack is practically a machine. He's openly talked about his work ethic in a bunch of places. He's the type of guy who after a life time of coding calculated he's 100% efficient up until 13 hour work days and then he drops off[0]. Although he did mention working those long hours is often best working on multiple things instead of 1 topic but maybe with AGI there's a bunch of different avenues to explore. [0]: [this video]
Carmack describes his work efficiency and long hours
@adventured Aug 2020 Cites it
on HN thread How Shopify reduced storefront response times with a rewrite
Read more
They have a very good thing going. Perhaps there is no great reason to bite off so much at one time. They can take their time and do that later if it makes enough sense. I would expect it would require a very substantial effort to rebuild their platform in a different language. If you're 75/100 of where you want to be on performance, it can be easy to lose immense amounts of time chasing a 95/100 type ideal performance outcome when you can maybe far more easily get to 90/100 by making eg straight-forward caching improvements to what you already have and not have to rewrite all of your code. Good enough is almost always underrated in tech. People destroy opportunity, time, money, and entire businesses chasing what supposedly lies beyond good enough. John Carmack has a good example of this in his Joe Rogan interview [1], in how id Software burned six years on Rage, making incorrect (in hindsight) choices that involved trying to do too much. He regrets his old standard line and approach that it'll be done when it's done. He wishes they had made compromises instead and shipped Rage several years earlier. That's a pretty classic storyline in all of tech, taking on far too much when 85% good enough would have worked just as well most likely. [1] [this video]
Carmack on id Software overreaching on Rage

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

Keyboard shortcuts

/
Search
j k
Next / previous video
r
Surprise me
l
Like (video page)
w
Watch later (video page)
?
This help
Esc
Close