Viewing profile — BarakWidawsky

You’re mostly right but conflating attention with autoregressive/causal which is the real issue that prevents you from using more compute You can use diffusion with attention, and …

I think it's extremely important to distinguish being friendly (perhaps overly so), and agreeing with the user when they're wrong The first case is just preference, the second case…

Looks like the dataset is distilled from Gemini nano-banana Definitely very useful, but I’m so curious how the original datasets from these image editing models were created. I’m g…

I’m guessing this is so they optimize processor yields as manufacturing improves Smaller chips means more of a wafer is usable when a defect exists

I wonder how much of this is due to Diffusion models having less capacity for memorization than auto regressive models The auto regressive models consistently show better loss for …

It’s interesting that it looks like they didn’t apply their own RL to the model, and instead fine tuned on reasoning traces from large datasets and generating reasoning traces from…

If this is a faster backend for LLVM, does it potentially obviate the niche Cranelift is optimizing for?

I have taken a Waymo in the rain before, if they have stopped supporting that as part of the service that’s new, buts it’s definitely within the systems capabilities. It worked gre…