UniWALM: closing the loop between language and action
How a unified world–action–language model turns language into on-board robot memory.
New frontier and open models, architectures, training, fine-tuning, reasoning
How a unified world–action–language model turns language into on-board robot memory.
How Cortex turns transient context gains into durable parametric memory without trashing the rest of your model.
How autoregressive video pretraining and streaming execution make long-horizon robot control actually usable.
How READ composes many LoRA skills into one model by letting new adapters “read but never write”.
A routed wavelet library plus tiny per-task adapters gives multi-physics coverage while protecting earlier results.
Latent Flow Reasoning Models use continuous diffusion in latent space to generate full reasoning traces instead of token-by-token decoding.
MiMo-V3’s HySparse2 shows how to redesign attention around agent workloads with KV sharing and token-level sparsity.
How WorldCrafter uses camera-queryable implicit memory to keep long video rollouts consistent across time and viewpoints.
How to think about manifolds, layers, and optimizers when you adopt hyperbolic deep learning via hyperbolix in JAX.