descriptive claim
SPEAKER_02 says language models used with RLV contain substantial base knowledge.
Tim Scarfe · Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 21 Sep 2026
In their words
The transcript segments this claim was taken from
“the amazing things about RLV are is that it kind of it doesn't solve but it helps the exploration problem because the base LLM knows so much so it has lots of conceptual understanding and rather than just blindly searching all over the place because obviously back in the days of deep Q networks and whatnot we actually needed to guide and and put a lot of priors into the exploration process because otherwise not very many interesting things will happen and now of course with the RLV are on the language models that they have a lot”
“They have a lot of base knowledge,”1:37:57Report a misattribution
0.90how strongly it was put, not whether it is true
0.65importance to the conversation
0.96confidence the claim was read correctly