Causal-rCM extends rCM from bidirectional few-step video generation to block-causal autoregressive video diffusion. The goal is to keep the streaming behavior of causal models while preserving the rCM ...
Google’s Gemma series continues to throw up all kinds of interesting models. The latest is Magenta RealTime 2 (MRT2), an open-weights model ...
This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...
The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
Human cumulative culture depends on our ability to innovate. While most research emphasizes how social learning spreads and preserves innovations, the cognitive processes that generate them remain ...
We'll find this reduces token usage by about 60%, easing the load on the parser while keeping the causal chain intact for the reflection mechanism. 4.5.2 Speculative Inference Synergy To get 70B-level ...
Triton kernels for causal depthwise separable convolutions with per-token (dynamic) convolution weights. The following example shows how to add low-rank dynamic short convolutions to the queries, keys ...
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