[seydor]

We must thank the author for the content-free article, so each of us can freely ramble on tangents, as if we are looking at an abstract art piece.

My beef is with the Dwarkesh Patel podcast. While he has some very good interviews (Carl Shulman, or even Zuckerberg) he seems to have a lot of rambling-on conversstion by very young employees of AI startups (openAI). I don't get value from those because they don't really say anything other than patting each other's back about how awesome they are for having been hired by their companies. I think he should focus on people with actual contribution to the science who have meaningful things to say

[rocmcd]

100% agreed. His earlier conversations before the recent AI boom were pretty great, going deep into a wide range of topics. Since then, it's taken a sharp nose-dive into AGI navel gazing. He's clearly drank too much of the kool-aid.

Aschenbrenner et al are clearly smart, but they have no real world experience to base their (entirely biased) predictions on. It's all very on-brand for the EA and EA-adjacent folks, who spend way too much time on the internet and not enough time out in the real world.

[lherron]

I agree, but it is the nature of the content cycle. They can’t all be winners. I very heavily curate my listening, and bounce off when it’s obvious the guest is not contributing meaningfully to my understanding of the topic.

[dude01]

I've been enjoying the Machine Learning Street Talk podcast, they talk to real practioners on real topics.