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Tiny Jetson Orin Nano Super Benchmark Across 8 models | The Ollama vs llama.cpp story

Tiny Jetson Orin Nano Super Benchmark Across 8 Models In a fascinating demonstration of edge AI capabilities, a single Jetson Orin Nano Super 8GB device hosted a comprehensive benchmark of eight distinct language models.…

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DSpark: Speculative decoding accelerates LLM inference [pdf]

DSpark: Enhancing LLM Inference Speed via Speculative Decoding DeepSeek introduces DSpark, a novel approach to speculative decoding designed to accelerate the inference process of Large Language Models (LLMs) by reducing…

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Trump Administration Partially Lifts Anthropic's AI Export Ban: The 2026 Trusted Access Tier Guide

Trump Administration Partially Lifts Anthropic's AI Export Ban: Introduction of the 2026 Trusted Access Tier The Trump administration has implemented a partial lift of the export ban on Anthropic's AI models, introducing…

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deepseek-ai/DeepSeek-V4-Pro-DSpark • Huggingface

DeepSeek-V4-Pro-DSpark: Advancing Model Efficiency via DSpark Architecture DeepSeek has released the DeepSeek-V4-Pro-DSpark, a new iteration in their model series accompanied by a technical paper detailing the DSpark fra…

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The 12 Building Blocks Every AI Engineer Must Know (Before Writing a Single Line of Model Code)

The 12 Building Blocks Every AI Engineer Must Know Before Writing Model Code A comprehensive overview of the foundational prerequisites and systemic architectural components that AI engineers must master to ensure scalab…

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The gap between open weights LLMs and closed source LLMs

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U.S. allows Anthropic to release Mythos AI to ‘trusted’ US organizations

U.S. Government Grants Conditional Release of Anthropic's Mythos AI to Selected Organizations The United States government has authorized Anthropic to deploy its powerful new model, Mythos AI, providing access to a restr…

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Dual RTX 3090s for Higher Throughput with Qwen3.6-27B-MTP – Should I Move to Linux and vLLM?

Optimizing Throughput for Qwen3.6-27B-MTP: Evaluating vLLM and Linux on Dual RTX 3090 Hardware A technical analysis of hardware utilization and software stack optimization for the Qwen3.6-27B-MTP model, specifically focu…

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NYT slams Microsoft for building copyright-infringing supercomputer for OpenAI

User Safety: safe

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Built a causal graph RAG — +0.33 on multi-hop vs flat RAG with Haiku

Implementing Causal Graph RAG to Enhance Multi-Hop Reasoning and Root-Cause Analysis A new approach to Retrieval-Augmented Generation (RAG) leverages directed causal graphs instead of traditional text chunking, resulting…

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OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

Outcome-based reinforcement learning provides a stable optimization backbone for language agents, but its sparse trajectory-level rewards provide little guidance on which intermediate decisions should

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In-Context World Modeling for Robotic Control

In-Context World Modeling for Robotic Control Researchers propose a novel approach to enhance the generalization of Vision-Language-Action (VLA) models by incorporating in-context world modeling, allowing robots to adapt…

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