
NL
Nathan Lambert
· 1 min read
AnalysisInterconnects
Artificial Analysis v5 and the benchmarker's dilemma
Housekeeping: I’m on the road so the voiceover will be late.
Hill-climbing is easy, knowing what to hill-climb is hard. Making scores go up is expensive, but we have a much clearer playbook for it than we do for creating meaningful benchmarks at the true frontier of AI today.
Independent evaluation of language models is under-appreciated in how hard of a …
Original source
This story was published by Interconnects and written by Nathan Lambert. SyncAI.news shows a preview; the complete article is on the publisher's site.
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