Featured projects
We are excited to announce the release of PyTorch® 2.12 (release notes)!
The PyTorch 2.12 release features the following changes:
- Batched
linalg.eigh
on CUDA is up to 100x faster due to updated cuSolver backend selection - New
torch.accelerator.Graph
API unifies graph capture and replay across CUDA, XPU, and out-of-tree backends torch.export.save
now supports Microscaling (MX) ...
In examining the article, several patterns of interest emerge:
ARC-0043 Motte-and-Bailey: The introduction of Arc Codex presents a strong case for its effectiveness in objective analysis but does not provide concrete examples or comparisons to other models. This creates an impression of superiority without offering substantial evidence, which can be seen as a Motte-and-Bailey strategy, with the "high ground" of objective analysis easily defensible while leaving room for less tangible claims.
ARC...
