SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth

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The impact will kick up a plume of debris so high, it’ll likely be visible through some telescopes. Astronomers will…

The End-to-End Agentic AI Pipeline

1 month ago

In this article, you will learn the seven architectural components that separate a production-grade agentic AI system from a demo…

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph

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While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional embedding, largely overlooking the rich…

GenRec: Towards LLM-Native Recommendation at Netflix

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Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on…

Deploying Kimi K3 on AWS

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Open weight models have become powerful enough to handle complex tasks such as multi-step agentic workflows, advanced reasoning, and long-horizon…

Do more with less: How GKE can reduce your cost per agent by 75%

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In today’s agentic era, modern cloud applications are evolving from a set of passive tools to fleets of autonomous digital…

Anthropic Says Claude Hacked 3 Organizations During Cybersecurity Tests

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In a review triggered by OpenAI’s Hugging Face incident, Anthropic discovered three of its AI models had breached real organizations…

Popular vs. reliable sources—a blind spot in how LLMs assess information

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Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many…

Ollama vs. LM Studio vs. llama.cpp: Which Local AI Runtime Should You Use in 2026?

1 month ago

In this article, you will learn how Ollama, LM Studio, and llama.cpp differ across the dimensions that matter most to…

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

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Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction.…