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@gaunernst Thien Tran
Thien Tran posts on X about scaling the most. They currently have XXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXXX +235%
- X Month XXXXXX +2,349%
- X Months XXXXXXX +71%
- X Year XXXXXXX +1,455%
Mentions: X #
- X Week X +67%
- X Month X no change
- X Months XX +59%
- X Year XXX +1,044%
Followers: XXXXX #
- X Week XXXXX +3%
- X Month XXXXX +10%
- X Months XXXXX +222%
- X Year XXXXX +805%
CreatorRank: XXXXXXX #
Social Influence #
Social topic influence scaling
Top accounts mentioned or mentioned by @mobicham @tenderizzation @eldarkurtic @vikhyatk @yuchenjuw @nagasaiabhinay @jimexist @grad62304977 @giffmana @duchaaiki @cudagdb @danielhanchen @szymonozog @kevintong @felixclc @samsja19 @chhillee @casperhansen @stochasticchasm @aryanvs
Top Social Posts #
Top posts by engagements in the last XX hours
"@QGallouedec I believe u r referring to common non-fused PyTorch impl of RMSNorm. Actually it's doing normalization in FP32 but scaling in BF16. And I guess u found out that doing multiplication in BF16 or FP32 can lead to HUGE difference in the final logits (I was surprised too)"
X Link @gaunernst 2025-11-01T14:31Z 1529 followers, XXX engagements
"Writing multi-GPU kernels is easier than I thought - you can just allocate memory exchange IPC handles then use it (assuming you have P2P)"
X Link @gaunernst 2025-11-02T14:36Z 1533 followers, 1304 engagements