Explainer podcast for Richard Ngo's "Clarifying and predicting AGI" post on Lesswrong, which introduces the t-AGI framework to evaluate AI progress. A system is considered t-AGI if it can outperform most human experts, given time t, on most cognitive tasks.
This is a new format, quite different from the interviews and podcasts I have been recording in the past. If you enjoyed this, let me know in the YouTube comments, or on twitter, @MichaelTrazzi.
