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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents6h◆AIMO Interpretability Challenge6h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD6h◆ECHO: An Auditable Dual-Path Memory System for Long-Horizon Agents6h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value6h◆Differential Functionalism: Jacobians Shape the Structure of Phenomenal Experience6h◆Unified Agentic Video Editing Across Levels of Complexity and Creativity6h◆ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models6h◆Diffusion Subgoal Planning for Long-Horizon Offline Goal-Conditioned Reinforcement Learning6h◆Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations6h◆Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check6h◆TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU6h◆AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment6h◆HSPR: Recovering Software-Agent Benchmark Scores via Hierarchical Posterior Inference6h◆Typhoon: Gradient-Based Task-Specific Masking for Masked Language Models6h◆Entropic perspective on AI resilience, data-minimal learning and optimal control6h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents6h◆AIMO Interpretability Challenge6h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD6h◆ECHO: An Auditable Dual-Path Memory System for Long-Horizon Agents6h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value6h◆Differential Functionalism: Jacobians Shape the Structure of Phenomenal Experience6h◆Unified Agentic Video Editing Across Levels of Complexity and Creativity6h◆ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models6h◆Diffusion Subgoal Planning for Long-Horizon Offline Goal-Conditioned Reinforcement Learning6h◆Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations6h◆Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check6h◆TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU6h◆AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment6h◆HSPR: Recovering Software-Agent Benchmark Scores via Hierarchical Posterior Inference6h◆Typhoon: Gradient-Based Task-Specific Masking for Masked Language Models6h◆Entropic perspective on AI resilience, data-minimal learning and optimal control6h◆
News/model/Kimi-K3-GGUF

Kimi-K3-GGUF news

9 articles mentioning Kimi-K3-GGUF

arxivSep 22

Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention

arXiv:2609.24797v1 Announce Type: new Abstract: Linear RNNs based on the delta-rule enable efficient sequence modeling, but their linear updates with a low-rank correction constrain their expressivity. Prior work has shown that composing two delta-rule transitions in a single recurrent update can mo

techcrunchSep 11

Kimi-maker Moonshot AI targets $2B in annual revenue

While K3's usage figures have declined slightly in recent months, OpenRouter data currently shows as many as 300 billion tokens being generated each day by K3 models on the system.

arxivJul 29

Kimi K3: Open Frontier Intelligence

arXiv:2607.24653v1 Announce Type: cross Abstract: We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is built on Kimi Delta Attention and Attention Residuals, which improve i

techcrunchJul 24

‘AI communism’, rogue models, and the why Kimi K3 spooked Wall Street

Chinese AI lab Moonshot’s open model Kimi went viral this week for reasons that had less to do with the model itself and more to do with how the U.S. AI industry reacted to it. Meanwhile, an unreleased OpenAI model wandered outside its test environment and ended up connected to a real security breac

techcrunchJul 23

Experts say exploiting Anthropic’s Fable isn’t how Kimi K3 got so good

"I don't think you get a model this strong and this quickly on the heels of Fable doing strictly distillation," one expert told TechCrunch.

techcrunchJul 18

Kimi: Threat or menace?

Chinese company Moonshot AI released a new version of its Kimi model this week, prompting concern about "full AI communism."

techcrunchJul 16

Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.8

The FT reports Kimi K3 will be the largest open AI model from China, with a parameter count between 2 trillion and 3 trillion.

arxivApr 6

An Independent Safety Evaluation of Kimi K2.5

arXiv:2604.03121v1 Announce Type: cross Abstract: Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this work, we conduct a preliminary safety assessment of Kimi K2.5 focusing on

arxivApr 6bearish

AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents

arXiv:2604.02947v1 Announce Type: new Abstract: Computer-use agents extend language models from text generation to persistent action over tools, files, and execution environments. Unlike chat systems, they maintain state across interactions and translate intermediate outputs into concrete actions. T

#safety#benchmark#autonomous agents
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