Braden Hancock(@bradenjhancock):The simpler the algorithm, the more willing I am to believe that it's a real breakthrough and not just overfitting to a niche domain or a few datasets (a sort of meta "bias vs variance" tradeoff in action). What got me excited about explorative modeling is that this algorithmic insight (1) is just "add a for loop here" (doesn't get much simpler than that), (2) shows gains across video, image, and text, (3) shows even larger advantage at larger scale, and (4) results in pretty substantial improvements ("X times better", not "X percent better"). Congrats to @AlexiGlad, @hengjinlp, and @du_yilun on exciting results! It's been fun watching this come together -- @LaudeInstitute Slingshot time & resources well spent. With more results to come...

2026.07.31 17:17

The simpler the algorithm, the more willing I am to believe that it's a real breakthrough and not just overfitting to a niche domain or a few datasets (a sort of meta "bias vs variance" tradeoff in action). What got me excited about explorative modeling is that this algorithmic insight (1) is just "add a for loop here" (doesn't get much simpler than that), (2) shows gains across video, image, and text, (3) shows even larger advantage at larger scale, and (4) results in pretty substantial improvements ("X times better", not "X percent better"). Congrats to @AlexiGlad, @hengjinlp, and @du_yilun on exciting results! It's been fun watching this come together -- @LaudeInstitute Slingshot time & resources well spent. With more results to come...

436

轉發到社區

熱門用戶