The Ledger
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why aren't all 6 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Frankle: Needle in a Haystack eval fails to measure holistic context usage
“I think the problems with needle in a haystack are well known. You know, it doesn't measure anything real. You're not even testing the model's ability to holistically use the context just to identify one part of the context. So you can do some wacky things to …”
Frankle: Fault tolerance is missing from fundamental model training primitives
“Fault tolerance is still not really built into any of the fundamental primitives of training models. And so if something breaks, you have to go figure out what broke your job stops. You have to restart your job. It is a nightmare just to get to the point where…”
Frankle: Large-scale model training forces teams to debug the full infrastructure stack
“It's kind of impossible if you're doing training to not go all the way through the entire stack, regardless of what happens. Like somehow I'm still chatting with cloud providers about power contracts, even though the whole point of dealing with the cloud provi…”
Frankle: Training MoE models with FSDP creates severe network bandwidth bottlenecks
“And those models are very demanding when it comes to network bandwidth, at least if you're training them in kind of FSTP zero three style. Where there's just a lot of parameters getting shuffled back and forth and your ratio of kind of compute to amount of dat…”
Frankle: Deep learning log scales can make trends look however you want
“Anything can look however you want it to look if you put it on a log scale to a certain extent. And log, we love our log scales and deep learning for various reasons. Everything looks very clean on a log scale until everything looks very flat on a log scale.”