IM GONNA BE HONEST I AM KINDA BANDWAGONING ON THE SUPER CUTE PUPPY <| sep |># Who is going to join the contest ? ??!!!!<| sep |> I typically cook for 25 people for family dinners . I make as many dishes ahead of time as possible , then reheat them at 350 for 20 minutes . When you say multiple large meals , are you talking about larger portions of the same dish , or more dishes ? <| sep |> I think the ML community is too benchmark and SOTAoriented . Interesting you say that , many actually argue that focussing on hard benchmarks has been one of the great things the deep learning community started to do right which resulted in their success . Before ML took over ImageNet and vice versa , the community was obsessed with microproblems and minidatasets . You just downloaded 50 datasets , you didn ' t even know what the data is about , just that this one is for regression that one is for classification , then you cherrypicked datasets that showed best results . Hard benchmarks are useful , especially ones where we do very poorly today . Go has been a nice benchmark .