#Mamba architecture

33 related articles

Aug 1, 2026·4 min

Heretic Uncensoring Technology Explained: Practical Applications on Jamba2 and Qwen3.5 Open-Source Models

Deep dive into Heretic uncensoring technology applied to Jamba2-Mini, Qwen3.5-9B, and 27B open-source models, exploring how refusal rates dropped from 97% to 4% and the safety debates involved.

Jul 30, 2026·4 min

AI Agent Memory Systems: Genuine Technical Progress or RAG in Disguise?

In-depth analysis of AI agent memory systems: examining whether current improvements represent real progress or just RAG repackaged, and what architectural changes are truly needed.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Explore its technical principles, performance gains, and value for long-context training and inference.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Learn about its technical principles, performance gains, and value for long-context training and inference acceleration.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

A deep dive into Kimi Delta Attention (KDA): tracing the evolution from quadratic Softmax attention through linear attention, Delta rules, and gated decay mechanisms, with insights on associative memory and hardware optimization.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

Deep dive into Kimi Delta Attention (KDA): from standard Softmax attention's quadratic bottleneck through linear attention, Delta Rule, and gated decay mechanisms — the complete evolution explained.

Jul 27, 2026·3 min

Deconstructing Agents: Task Decomposition, Context Compression, and the Case Against Heavy Frameworks

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Jul 26, 2026·3 min

Kimi K3 Released: How a 2.8 Trillion Parameter Open Model Reshapes AI Cost-Effectiveness

Moonshot AI unveils Kimi K3: a 2.8 trillion parameter, 1M context, natively multimodal open model. With KDA architecture and ultra-low cost, it rivals GPT-5.6 and Fable 5, redefining AI cost-effectiveness.

Jul 24, 2026·6 min

Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Jul 20, 2026·4 min

Understanding Transformer From the Ground Up: How Language Models Predict the Next Word

From Tokenization and Embedding to the Attention mechanism, this article systematically breaks down how Transformer works — and how ChatGPT turns input text into next-token probabilities.

Jul 20, 2026·3 min

NVIDIA's Dual-Tower Diffusion Language Model Explained: How Freezing Half the Network Achieves 2.4× Speedup

NVIDIA's dual-tower diffusion LM freezes the context tower while fully retraining the denoiser, achieving 2.4× speedup with 98.7% quality retention. A deep dive into the architecture, performance, and fragility.

Jul 17, 2026·2 min

19-Year-Old AI Learner: How to Balance Passion and Employability?

A 19-year-old AI learner torn between passion for LLMs and job market pressure. This article breaks down AI Engineering vs. research paths and offers actionable strategies.

Jul 17, 2026·3 min

Open-Source LLM Surge: K3 and V4 Drop Together as the Marginal Cost of Intelligence Approaches Zero

Kimi K3, DeepSeek V4, Liquid, and Mistral are all dropping at once. MXFP4 quantization and MoE architecture are pushing the marginal cost of intelligence toward zero. Here's what it means.

Latent Reasoning: The Next-Generation …

Jul 14, 2026·3 min

Latent Reasoning: The Next-Generation AI Reasoning Paradigm Beyond Chain of Thought

Is CoT really AI 'thinking'? This deep dive covers latent reasoning's rise — Coconut, HRM, BDH — and the core trade-offs between interpretability, efficiency, and governance in high-stakes AI.

Jul 14, 2026·3 min

31 Companies Sign Agent Privacy Pact: Industry Self-Regulation Framework Goes into Effect

31 companies sign China's first AI agent privacy pact covering screen-reading authorization, training data restrictions, and payment caps. Plus: domestic LLM tops OpenRouter, Meta's $40B compute bet, and agent commercialization challenges.

Jul 13, 2026·3 min

The Real Bottleneck for Conversational AI: Model Capability or Training Data Quality?

Conversational AI shines in the lab but fails in real conversations. This article analyzes voice assistants' core weaknesses—model architecture or overly "clean" data? Covering ASR, VAD, and end-to-end systems engineering.

Jul 12, 2026·3 min

Why Transformer Dominates AI Foundation Models: A Deep Dive into Its Three Core Advantages

Why do ChatGPT and Gemini both use Transformer? This deep dive explains how self-attention solves RNN's serial inefficiency and CNN's local limitations across three key dimensions.

Jul 12, 2026·3 min

Neuro-Symbolic AI Architecture: A New Approach Inspired by Neurotransmitters and Sleep Cycles

Explore how neuro-symbolic AI architecture fuses neural networks with symbolic reasoning, simulating neurotransmitter regulation and sleep cycles to tackle hallucination and catastrophic forgetting.

Jul 12, 2026·3 min

CPU-Native Language Models: Breaking Through Inference Bottlenecks with Memory Bandwidth Co-Design

SiliconLLM builds a CPU-native LLM architecture from scratch, combining selective SSM, ternary (1.58-bit) LUT MLP, and granular MoE, co-designed around the L3 cache bandwidth cliff. Ternary kernels show 4-5x speedup over fp32.

Jul 12, 2026·4 min

LingBot-World 2.0 Meets SGLang: A Deep Dive into the Evolution of Real-Time Interactive World Models

SGLang-Diffusion now officially supports LingBot-World 2.0, delivering leaps in resolution and temporal consistency. With live sessions, chunked streaming, and camera control, world models achieve low-latency controllable interaction.