On TEDAI—what are the automated researchers automating? How does that end up colonising all other capabilities? Where are they getting the data?
They are making methods for creating general intelligence combined with methods for generally making AIs better at specific downstream domains (e.g., mechanical engineering). This requires data collection in that downstream domains, but I’d guess this data collection is pretty easy (e.g., you can deploy the AI to learn huge amounts in parallel in addition to learnings as much as possible in sim and you can compensate for weakness with additional time/effort or with specific superhuman abilities in many cases).
I think your questions are mostly better answered by How quick and big would a software intelligence explosion be? and AI Futures Model.
They are making methods for creating general intelligence combined with methods for generally making AIs better at specific downstream domains (e.g., mechanical engineering). This requires data collection in that downstream domains, but I’d guess this data collection is pretty easy (e.g., you can deploy the AI to learn huge amounts in parallel in addition to learnings as much as possible in sim and you can compensate for weakness with additional time/effort or with specific superhuman abilities in many cases).