Mamba-3
PulseAugur coverage of Mamba-3 — every cluster mentioning Mamba-3 across labs, papers, and developer communities, ranked by signal.
- 2026-08-22 research_milestone Introduction of the Mamba-3 architecture with data-dependent Rotary Position Embeddings, addressing formal logic failures and KV cache overhead. source
- 2026-03-17 product_launch Together AI released Mamba-3, a new state space model focused on inference efficiency. source
1 day(s) with sentiment data
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Mamba-3 architecture solves logic failures and KV cache issues
The Mamba-3 architecture has been introduced, featuring data-dependent Rotary Position Embeddings (data-RoPE) and other advancements to address limitations in sequence modeling. This new architecture reportedly achieves…
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New models enhance robot manipulation by integrating vision and state
Researchers have developed several new methods to improve robot manipulation capabilities by better integrating visual information with the robot's state and actions. GeoProp, for instance, is a lightweight adapter that…
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Gated DeltaNet advances efficient VLM memory with delta rule and forget gate
Researchers have detailed the Gated DeltaNet, a novel approach to efficient vision-language models (VLMs) that utilizes a linear-time recurrence with a fixed-size memory matrix. This method, developed by Yang et al. fro…
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Sebastian Raschka curates 2026 LLM research papers
Sebastian Raschka has compiled a curated list of LLM research papers from January to May 2026, focusing on topics he finds particularly relevant. The list highlights advancements in reasoning models, reinforcement learn…
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New Chess Benchmark Exposes Transformer State-Tracking Failures
Researchers have introduced Chess-World-Model, a new benchmark designed to evaluate the state-tracking capabilities of world models. This benchmark utilizes a dataset of 10 million chess games to test a model's ability …
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PapersWithCode adds multi-metric leaderboards and external paper support
Hugging Face has launched new features for PapersWithCode, a platform tracking AI state-of-the-art. The updates include support for multiple metrics on leaderboards, such as for Automatic Speech Recognition and Object D…
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NVIDIA unveils Gated DeltaNet-2 for improved linear attention
NVIDIA has introduced Gated DeltaNet-2, a new linear attention layer designed to improve memory editing in recurrent neural networks. This model separates the processes of erasing old information and writing new informa…
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Mamba-3 AI architecture gains researcher attention for efficiency
Mamba-3, a new AI architecture, is generating excitement among researchers due to its innovative approach to handling long sequences of data efficiently. This architecture utilizes a state-space model design, which allo…
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Together AI releases Mamba-3, prioritizing inference speed over training
Together AI has released Mamba-3, a new state space model (SSM) prioritizing inference efficiency over training speed. This model features a more expressive recurrence formula, complex-valued state tracking, and a multi…