Show HN: Nightcrawler – A local AI pentesting agent running on a smartphone
Nightcrawler is an open-source AI-powered penetration
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How to Secure AI Agents, MCP Servers, and LLM Apps in Production
The article discusses securing AI agents, MCP servers, and LLM applications by addressing emergent risks from model behavior, system prompts, and tool interactions, which traditional CVEs do not cover. It emphasizes that…
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Smaller, faster, safer: running Kimi and GLM at scale
Cloudflare's blog post details techniques for deploying Kimi and GLM large language models at scale with reduced size, improved latency, and enhanced safety. The article explores optimization strategies that enable effic…
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LLMs reward expertise
The article discusses how large language models (LLMs) increasingly reward expertise by excelling in domain-specific tasks. In the 2010s, individuals lacking certain technical skills such as writing CSS were forced to de…
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Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
Wnuan introduces a three-stage pipeline for enterprise question answering that preserves general language capabilities while incorporating proprietary knowledge. The process builds task-oriented supervision from document…
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GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation
GEOID-Flood is a large-scale multi-modal benchmark dataset for flood segmentation that combines bi-temporal SAR
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WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity
WorldExam introduces a new benchmark for evaluating controllable video generation models acting as world models. Unlike existing benchmarks that focus on visual quality, WorldExam assesses inherent reactivity—the model's…
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EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents
The EMBL AI Librarian project develops a specialized knowledge layer for AI agents in life-sciences, addressing limitations of existing resources like Europe PMC that require complex syntax and manual searches. It aims t…
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Building AI Data Pipelines — How to Feed Your LLM Fresh Web Data
Your AI is only as good as its data. Here's how to build automated data pipelines. The Problem Most developers still write custom scripts for data collection. This means: Hours of develo
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Trump admin invited OpenAI, Anthropic and Google to the White House on Tuesday to preview the new AI voluntary framework, AI companies were lobbying for specific language on issues including open-source
The voluntary framework outlined in the June 2nd executive order is complete. Discussions with industry about next steps are underway. Reps from the AI companies will be meeting
→ View original sourcePrevent cognitive debt by manually retyping LLM-generated code
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