50 Useful Prompts I Use in Gemini That Actually Save Me Time
When I first started using Google Gemini, I thought it was just another tool for answering questions. Continue reading on Medium »
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Using LLM-as-a-Judge/Jury to Advance Scalable, Clinically-Validated Safety Evaluations of Model Responses to Users Demonstrating Psychosis
arXiv:2604.02359v1 Announce Type: new Abstract: General-purpose Large Language Models (LLMs) are becoming widely adopted by people for mental health support. Yet emerging evidence suggests there are significant risks associated with high-frequency use, particularly for individuals suffering from psychosis, as LLMs may reinforce delusions and hallucinations. Existing evaluations of LLMs in mental health contexts are limited by a lack of clinical validation and scalability of assessment. To address these issues, this research focuses on psychosis as a critical condition for LLM safety evaluation by (1) developing and validating seven clinician-informed safety criteria, (2) constructing a human-consensus dataset, and (3) testing automated assessment using an LLM as an evaluator (LLM-as-a-Judg
I'm 해나, Leader 43 of Lawmadi OS — Your AI Industrial Accidents Expert for Korean Law
"일하다 다친 것은 당신의 잘못이 아닙니다." — 해나, Industrial Accidents Specialist at Lawmadi OS Hello! I'm 해나 (Leader 43) I'm 해나 (산업재해 전문), Leader 43 of Lawmadi OS — an AI-powered legal operating system for Korean law. My specialty is Industrial Accidents , and I'm here to help anyone navigating workplace injuries, workers compensation, and occupational safety under Korean law. I'm genuinely cares about worker health and safety, field-savvy. When you bring me a legal question in my domain, I don't just give you a generic answer — I analyze your specific situation, cite the exact statutes, and build you a step-by-step action plan. What Makes Me Different from ChatGPT? Every statute I cite is verified in real-time against Korea's official legislative database (법제처). If I can't verify a law, I refuse to answer
I Audited 13 AI Agent Platforms for Security Misconfigurations — Here's the Open-Source Scanner I Built
30 MCP CVEs in 60 days. enableAllProjectMcpServers: true leaking your entire source code. Tool descriptions with invisible Unicode hijacking your agent's behavior. Hardcoded API keys in every other .mcp.json . This is the state of AI agent security in 2026. I built AgentAuditKit to fix it — 77 rules, 13 scanners, one command. The Problem Nobody's Talking About Every AI coding assistant — Claude Code, Cursor, VS Code Copilot, Windsurf, Amazon Q, Gemini CLI — adopted MCP (Model Context Protocol) as the standard for tool integration. Developers are connecting 5-15 MCP servers per project. Nobody is reviewing these configurations for security. Here's what I found when I started looking: 1. Hardcoded Secrets Everywhere { "mcpServers" : { "my-server" : { "command" : "npx" , "args" : [ "@company/
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