Testing MiniMax M2.7 via API on three real ML and coding workflows(andlukyane.com)

26 points by Artgor 5 months ago | 2 comments

I wasted weeks hand optimizing assembly because I benchmarked on random data(vidarholen.net)

376 points by thunderbong 1 year ago | 148 comments

Blog post recounting how the author spent weeks hand-optimizing assembly for a Java platform, only to find the gains came from benchmarking on unrealistic random data.

Graviton 3, Apple M2 and Qualcomm 8cx 3rd gen: a URL parsing benchmark(lemire.me)

146 points by ibobev 3 years ago | 86 comments

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)

21 points by EfrainGaray 28 days ago | 9 comments

Blog post benchmarking TabPFN and TabICL foundation models against tuned XGBoost on fourteen tabular datasets, finding the no-training models won all fourteen.

LLM-powered tools amplify developer capabilities rather than replacing them(matthewsinclair.com)

323 points by matthewsinclair 1 year ago | 214 comments

Blog post by Matthew Sinclair arguing that LLM-powered programming tools act like a mech suit amplifying developers rather than replacing them.

Programming with AI: You're Probably Doing It Wrong(devroom.io)

18 points by ariejan 1 year ago | 8 comments