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Helix-agi sensory-actualizor

Reddit r/AI_Agents ↗ · 2026-10-17

The author introduces Helix-AGI, an open-source agent harness that replaces JSON tool-calling with a dual-RWKV bicameral architecture pairing a conversational Speaking Head with a non-language Sensory-Actualizer Head, coupled in latent space and driven by a Habitus graph of learned habitual behaviors with real-time visualization.

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HART: Hybrid Attention-RWKV Time series Foundation Model

arXiv cs.LG ↗ · 2026-10-12 Cached

论文提出 HART,一种混合注意力与 RWKV 的时间序列基础模型,通过交替注意力和 RWKV 模块解决非自回归多步预测中 RWKV-7 的长程退化问题(Placeholder Idling Decay)。仅用 36M 参数(约为 Toto-2.0-1B 的 1/28)在 GIFT-Eval 上达到可媲美的长程 MASE(0.752 vs 0.754)。

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NinaXander: Feasibility and Limits of Composing Frozen Language Models Across Architecture Families via a Shared Latent Space

arXiv cs.CL ↗ · 2026-10-01 Cached

NinaXander proposes composing frozen language models from different architecture families (Transformer and RWKV) via a single shared-latent adapter, achieving an 84.4% KV-cache reduction without accuracy loss to RWKV alone, though composed models still underperform their strongest parent and degrade out-of-domain.

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@seclink: Fun fact: Mamba camp: taking the "cloud-side frontier model" route, with customers like NVIDIA/AI21/IBM — companies that sell enterprise AI platforms → If you want to do cloud API data processing for long-context, low-cost inference, this direction is worth tracking. RWKV camp: taking the "on-device/edge embedded…

X AI KOLs Following ↗ · 2026-08-14 Cached

The article compares the routes of two AI model architecture camps, Mamba and RWKV: Mamba targets cloud-side enterprise AI platforms, while RWKV targets on-device and edge devices, each adapting to different hardware and inference scenarios.

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RWKV is an RNN with great LLM performance and parallelizable like a Transformer.

Reddit r/LocalLLaMA ↗ · 2026-07-15 Cached

RWKV is a novel language model architecture that combines the efficiency of RNNs with the parallelizability of Transformers, achieving strong LLM performance with linear time complexity and constant memory footprint.

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@BlinkDL_AI: RWKV-7 G1g is here: the world's best pure RNN LLM, and a competitive LLM in general. Try https://huggingface.co/spaces/…

X AI KOLs Following ↗ · 2026-05-23 Cached

BlinkDL announces RWKV-7 G1g, a pure RNN LLM that claims to be the best in its class and competitive with general LLMs, with high-speed inference on a single RTX 5090.

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@BlinkDL_AI: Gated DeltaNet-2 is almost exactly RWKV-7's DPLR recurrence, not acknowledging the elephant in the room

X AI KOLs Following ↗ · 2026-05-22 Cached

Ali Hatamizadeh announces Gated DeltaNet-2, a new linear attention model that outperforms KDA and Mamba-3 at 1.3B scale; @BlinkDL_AI notes its recurrence is nearly identical to RWKV-7's DPLR.

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