Natural language benchmarks don’t measure AI models’ general knowledge well
Judea Pearl has been bringing up the lack of causal knowledge in ML very often. He has even posted lots of interesting comments in Andrew Gelman&#x27;s blog, e.g.: <a href="https:&#x2F;&#x2F;statmodeling.stat.columbia.edu&#x2F;2009&#x2F;07&#x2F;05&#x2F;disputes_about&#x2F;" rel="nofollow">https:&#x2F;&#x2F;statmodeling.stat.columbia.edu&#x2F;2009&#x2F;07&#x2F;05&#x2F;disputes_a...</a><p>I tend to think that lots of solutions could come from topics like those discussed in this book, with a lot of further development: <a href="http:&#x2F;&#x2F;probmods.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;probmods.org&#x2F;</a>