I spent some time watching this Machine Learning Street Talk (MLST) interview with Yannic Kilcher this morning.
As a brief disclaimer, you can learn from somebody without having to agree with them or support everything they do along the way. People are complex and sometimes they can be chaotic. One of the early topics they covered was the complexity and reliability of the content being produced. I’m actually totally ok with MLST going as deep as they want during discussion and episodes. Not everything has to be written or shared for a general audience. Sometimes it is ok to have a highly technical conversation and dialogue with people who are capable of tackling those sorts of higher order challenges. A consequence of that type of effort will be that the audience size will be smaller. I generally believe that around 10,000 people worldwide are really hyper focused on consuming highly technical machine learning content. Audience sizes beyond that are picking up a different type of community based on purpose, interest, or circumstance creating an intersection with the general machine learning community of interest.
I’m going to try to utilize Twitter going forward to share links to the YouTube videos I consume each week. That should help allow me to provide some context and it will give you a sense of the content creators that take up several hours of my week every week. To be fair every week it will be me sharing the same links and commentary for the most part to the creators in my top 5. It turns out that I cannot really have more than about 5 podcasts in my weekly rotation. That is where I max out in terms of content consumption.
My Top 5 podcasts right now (when this post was written):
- All-In with Chamath, Jason, Sacks & Friedberg
- The Vergecast & Decoder (both are Nilay productions)
- Hard Fork with Kevin Roose and Casey Newton
- Machine Learning Street Talk
- Lex Fridman Podcast (I’m 30/70 on listening to these based on topic)
My honorable mention would be the New Heights podcast from Kelce brothers.
Earlier this morning I was able to really work ahead of the backlog by one block of writing and I’m considering just scheduling the content to go live without recording audio for that post. I’ll probably spend some more time refining that block of writing and end up recording the podcast audio during some evening this week. We will see how that goes.