Lex Fridman Podcast #367 – Sam Altman
lexfridman.com
lexfridman.com
The long ones are the best to me because I enjoy interesting conversations rather than edited quick cut tiktok/twitter hot take style stuff.
There's a world of difference between a 10 second TikTok clip and a 25 minute episode of some show. The latter used to be enough time to get an entire day's worth of news not too long ago. So I don't think that the medium fundamentally needs to be movie length to be effective.
I suspect it's simply the case that shorter, more information-dense content takes a longer time to produce. It's a lot easier to have a 3 hour conversation with someone and dump it online. And I understand that there's an audience for just that. I do also think that there's a huge gap for short form podcast content waiting to be filled.
Indicator by Planet Money is 15 mins with news about the economy in a fun way
Adam Grant's podcast has a bunch of episodes that are 40-45 mins about organizational psych that are awesome. This is the highly produced one you are looking for https://open.spotify.com/show/0uFXKiNiC05GOrjE9AXnkn?si=2172...
HBR's ideacast presents an idea in a rigorous info dense way in 20-40 mins https://open.spotify.com/show/4gtSBBxIAE142ApX6LqsvN?si=6fe6...
Paid ones: https://dithering.fm/ Ben Thompson and John Gruber have a 15 min conversation about latest strategy and tech news.
The Stratechery podcsast (ben reads articles) is about 15-20 mins.
There are tons and tons of any style you want. Just tried to choose some that matched business/founder/interview/idea that this one hit on.
As for 25 minute, produced podcasts? I really enjoy The Economist‘s Intelligence podcast for that. It’s definitely in the middle ground. Each episode is about 25 minutes. They’re tightly produced. They come out every week day. And each episode talks about 3 things going on in the world. If that’s what you’re looking for, give it a try!
There's also the passivity of it. I can't read while I drive, but I can listen, and length doesn't really matter in these cases because it's a way for me to pass time as much as anything else.
May just not be your cup of tea though!
Yes! People really do have time to do all sorts of long attention span things. Podcasts for me are a mostly-downtime activity. They fall into the same category of activity as chilling on the couch with a good book. But the advantage is I can be doing something else while I’m listening - like driving, cooking, drawing or going for a walk.
You have just as many hours in your week as I do. We all need some downtime from time to time. I think podcasts are a delightful option. (If you find the right ones!)
You don’t just… sit there and listen. (At least I don’t). Slap on some headphones and go for a walk, do household errands, etc. Put it on the background during your commute. Some folks have it on the background while they work, like people have done with radio shows for decades.
There are podcasts that try to edit down long conversations but they tend to cut the tangential and inadvertently revealing good stuff to deliver main points. If you just want main points you should just read an article.
"Just listen to it in the background" isn't really workable for everybody. I barely listened to my own podcast episode. Text is just better for some people, which happen to be a majority on HN.
It's better for HN too. Note that we can't get any interesting comments until submission plus two hours, since it's two hours long.
Besides that, yes, I love to read articles, too. I do a lot of transcription skimming of episodes where the voices and cadence don’t add much but the information is solid.
YouTube auto-transcripts are usually fairly readable or at least skimmable for the interesting time stamps. There are sites and services (like Readwise) that display them side by side with the video.
I don’t think HN benefits from people quickly skimming article text to add comments, unless they are primary sources themselves and can quickly address a misunderstanding, but that’s another discussion…
In the spirit of the podcast, I asked GPT-4 for help in writing a reply, and it did a pretty okay job. https://imgur.com/a/MBQoq4A
Any progress on automatic transcriptions? Seems like Whisper should be able to give a readable version of both. This one’s a bit hard to listen to since it’s not a YouTube link, which means you can’t use your phone for other purposes for two hours.
Ad free, plays videos in background and after closing screen
Maybe there’s an option to download the audio off safari somehow, but it doesn’t seem like it through any of the standard controls.
The real website is vancedapp.com but the project is discontinued. Revanced on GitHub (only) is continuing development.
Anyone recommend any others in this vein, on this topic?
Think of it as a conversation that you can listen in on if you want to.
But you can't. What you get is a hour long PR fluff piece about a man related to OpenAI. But you listen anyway, and because it's appearing as this useful thing, your normal skepticism guards are down. So you swallow what could be abject nonsense.
And that's why they're Bad, not bad.
Autism doesn’t really play into this; no human gets intuition correct, due to bias.
What I said is applied to people in generally good health and free from any kind of impairment.
It’s not generally considered relevant to list out all the conditions and diseases that could alter one’s experience…
He's running out of people to fire.
For example, I first used Google in summer 2000 at a college internship, one where I flailed and didn't really know how to program. In high school and even college I could write code, but not anything real. (The CS program I went to was good, but focused on CS).
I think my programming skill and productivity took off when I had access to the web, and more people posted content to the web.
It really is like an external brain. Tim Berners-Lee isn't wrong; we just take it for granted now (and large parts of it have been ruined by advertising.)
And this is from a person who read the MS-DOS manual from front to back when I was a teenager. I also installed a Borland C compiler from a bunch of floppy disks, yet never really managed to write much of a C program.
So Google (in addition to education) made me much more productive, and StackOverflow attests that it has made millions of programmers similarly more productive. But yet I lived through a huge programmer tech boom in San Francisco for over a decade -- increasing staff, increasing salaries, etc.
What would be different about 2023?
It seems clear that the demand to build things will just get larger, just as it got larger from 2000 to now. There seems to be a "fixed pie" fallacy in the opposite view.
Why would it be the same? Think about it from first principles instead of assuming that what happened in the past will keep happening in the future. If there's a ceiling to the demand for programming work and we're near that ceiling, and you then increase the productivity of all programmers, the number of jobs will have to go down.
Is there a ceiling for demand and are we near it? I don't know. But the argument that stackoverflow and search made things better and so it goes for GPT-4 isn't thought out very well.
> If there's a ceiling to the demand for programming work and we're near that ceiling, and you then increase the productivity of all programmers,
Look at the history of civilization. Throughout millenia, we've advanced tremendously but still the vast majority of people across all (current) industries have jobs.
https://en.wikipedia.org/wiki/Lump_of_labour_fallacy
Just to put something out there, I think LLMs will be something like Google.
I remember when Google started improving a lot in 2003-2004, a coworker wrote a blog post "Is Google God?" People thought it was conscious.
It was absolutely revolutionary. It created huge amounts of wealth for itself and others
But clearly it hit a limit. It wouldn't surprised me if LLMs were huge boon for 5 or 10 years, and they hit a fundamental wall, stagnate, and then we repeat the cycle.
I was also pleasantly surprised at how open he sounds to things like open sourcing the model weights.
Overall, he seems fairly grounded in reality and I came away from the interview feeling less judgmental of the guy than I did before it.
Lex Fridman remains as annoying as ever.