The discussion originally aired on the TWIML AI podcast
If you are new to recursive self-improvement, @samcharrington interviewed me at @twimlai about it in October 2024 and I like to believe this interview is still extremely timely: https://www.youtube.com/watch?v=5cuRo0bCmPY
Positive users praised the enduring relevance and timeless insights of Tim Rocktäschel's two-year-old interview on recursive self-improvement, while the negative reply dismissed the concept itself as a path to overthinking loops.
@_rockt @samcharrington @twimlai self-recommending an interview from two years ago is a power move
was it already RSI or still mostly vibes back then?
@_rockt @samcharrington @twimlai cool ill check it out, whats the one takeaway from the convo you still stand behind?
@InvincibleEdge @samcharrington @twimlai Everything
@_rockt @samcharrington @twimlai never seen a 2-year-old take age this well. might have to check that interview
@_rockt @samcharrington @twimlai recursive self-improvement sounds like a good way to overthink yourself into a loop
@_rockt @samcharrington @twimlai the idea of machines improving themselves is honestly wild to think about
@_rockt @samcharrington @twimlai few things stay timely past 6 months in ai, so thats actually rare
@_rockt @samcharrington @twimlai this kind of content ages weirdly well or terribly fast
which one is it with yours?
@_rockt @samcharrington @twimlai i remember that episode. curious what parts of it still hold up and what already got proven wrong
@_rockt @InvincibleEdge @twimlai If only there was an exclamation mark reaction on this site ‼️
The discussion originally aired on the TWIML AI podcast
If you are new to recursive self-improvement, @samcharrington interviewed me at @twimlai about it in October 2024 and I like to believe this interview is still extremely timely: https://www.youtube.com/watch?v=5cuRo0bCmPY