MarktechPost·
In this tutorial, we explore the ClawHub Security Signals dataset to see how scanners assess AI skills. We load the data from the Hugging Face Parquet conversion and inspect verdicts, scanner outputs, and severity labels. We measure how VirusTotal, static analysis, and SkillSpector overlap and disagree using Jaccard scores and Cohen's kappa. Finally, we combine SKILL.md text with scanner signals to train a logistic regression model for ClawScan verdicts. The post ClawHub Security Signals: A Coding Guide to End-to-End Security Signal Analysis and Verdict Classification on the AI Skills Dataset appeared first on MarkTechPost.
Read full articleGLM-5.2's expansive context window could revolutionize coding workflows by enabling seamless processing of extensive codebases, enhancing efficiency. The post Z.AI releases GLM-5.2 with 1M context window on Hugging Face appeared first on Crypto Briefing.
Kimi-K2.7-Code's efficiency and open-source nature could democratize AI-driven coding, reducing costs and enhancing accessibility for developers. The post Kimi AI releases open-source K2.7 Code model with 1 trillion parameters on APIs and Hugging Face appeared first on Crypto Briefing.
This article cuts through the 90,000 options to the seven models worth your time in 2026.
This tutorial walks through NVIDIA garak as an end-to-end framework for defensive LLM red-teaming. It covers setup, plugin discovery, dry runs, real-model scans on a Hugging Face generator, and multi-probe evaluations. The workflow then analyzes safety scores and attack success rates, inspects flagged outputs, and extends garak with a custom probe and detector. It closes by exporting results in AVID format for structured vulnerability The post NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors appeared first on MarkTechPost.
Microsoft warns two npm packages deploy a RAT that steals crypto wallet credentials, screenshots and keystrokes via Hugging Face.
Perplexity AI open-sources a rewritten Unigram tokenizer that reduces reranker latency and cuts production CPU utilization by 5-6x. The post Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate appeared first on MarkTechPost.
Hugging Face debuts $2,500 bipedal robot project for builders and researchers.
NanoCo, the company behind security-focused AI agent platform NanoClaw, has closed an oversubscribed $12 million seed round led by Valley Capital Partners, with participation from Docker, Vercel, Monday.com, Slow Ventures, and angel investor Clem Delangue, CEO of Hugging Face. Brothers Gavriel and Lazer Cohen built NanoClaw as a sandboxed, container-based alternative to OpenClaw, designed to […]
