Nathan Lambert
@natolambert
Open model research @ something new.
Prev. co-led Olmo at Ai2.
Writes @interconnectsai, wrote
加入 December 2014
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Strong agree. There’s way less of this than I would expect — partially due to the fact that making a high quality environment usually involves fairly expensive verification (testing strong models). Still, there can be much more.
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releasing many high quality open-source RL environments is the most impactful thing anyone can do to push the open-source frontier right now
the equivalent of sharing high quality pretraining data but in the new RLVR paradigm
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