Yes, that’s the news item that probably promoted the submission. Yann’s later chaser to the above take (https://twitter.com/ylecun/status/1628390522892025860 h

Yes, that’s the news item that probably promoted the submission. Yann’s later chaser to the above take (https://twitter.com/ylecun/status/1628390522892025860 https://twitter.com/ylecun/status/1628390522892025860) — > Even hotter take: the fact that ML and Computer Vision researchers were largely using Matlab held back progress for years, mostly because implementing something like a ConvNet in 2005 Matlab would have been a total nightmare. And there are arguments back and forth about that. It’s funny, though, because a lot of the leading 1990s-2000s ML work was default-Matlab and people mostly loved it. Kevin Murphy used to advise Mathworks on bayes net implementation, and a lot of researchers from that time really liked the “numerical shell” that the Matlab REPL offered. But of course one can see Yann’s point that the lack of clean capability for abstractions (I think struct’s came in the later 90s, lambda’s in the mid 2000s?) and licensing costs did hold the field back.