GradientsFlow @Gradientsflow
making them flow @nvidia 🌉 San Francisco, CA Joined March 2025-
Tweets133
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Followers42
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Following268
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Likes1K
GradientsFlow retweeted
This is Providence before/after it removed the I-195 highway, which is one of the best I've seen. It's not unrealistic to think Louisville and the Portland area could all look like this someday if we #8664.
GradientsFlow retweeted
this is actually incredible
Cars = on their way out in SF
GradientsFlow retweeted
I feel omnipotent after filling out form 1120 by myself
GradientsFlow retweeted
At this point, you should stop using Adam in favor for Muon/Shampoo et al. For context, this was a vqgan run and the training was significantly more stable and had faster convergence
At this point, you should stop using Adam in favor for Muon/Shampoo et al. For context, this was a vqgan run and the training was significantly more stable and had faster convergence
GradientsFlow retweeted
Eric Hoffer, evergreen
GradientsFlow retweeted
wow
GradientsFlow retweeted
Before you talk to me, ask yourself: would Van Gogh have wanted to hear the opinion of someone who's never created a masterpiece?
GradientsFlow retweeted
My favourite X-Men is the Wolverine.
GradientsFlow retweeted
New essay exploring why experts so strongly disagree about existential risk from ASI, and why focusing on alignment as a primary goal may be a fundamental mistake
GradientsFlow retweeted
The Eiffel Tower if it were built in Southern California.
GradientsFlow retweeted
bro has been vagueposting since 2016 oh my god
GradientsFlow retweeted
This is stunningly important information. Let this sink in.
This is stunningly important information. Let this sink in.
GradientsFlow retweeted
Houston does it in 10.
Houston does it in 10. https://t.co/JZ3OUiyse5
GradientsFlow retweeted
The field of model collapse can largely be explained as "doing stupid & unrealistic things with synthetic data yields stupid & unrealistic outcomes" But those papers are on the front cover of Nature and spotlights at ICLR and I'm on Arxiv. We are not the same 😵💫 3/3
GradientsFlow retweeted
nature cover - july 2024: synthetic data causes model collapse nature cover - august 2021: synthetic data leads to improved accuracy in protein prediction (and wins nobel in 2024) ---- in other words: if your model collapses with synthetic data... it's probably a skill issue.
GradientsFlow retweeted
Isn't the Strong Model Collapse paper basically impossible to be correct since synthetic data is a huge part of frontier model training already? > results show that even the smallest fraction of synthetic data (e.g., as little as 1% [...]) can still lead to model collapse ???
GradientsFlow retweeted
The online discussion seems to have largely missed this key point. The complaint wasn't "they didn't cite us wahhhh" but that prior work was selectively omitted to tell a misleading narrative that ANY amount of synthetic data can be toxic 1/3
The online discussion seems to have largely missed this key point. The complaint wasn't "they didn't cite us wahhhh" but that prior work was selectively omitted to tell a misleading narrative that ANY amount of synthetic data can be toxic 1/3
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