## Setup N8N with FFMPEG ```bash mkdir ai-automation cd ai-automation mkdir n8n cd n8n nano Dockerfile ``` #### Then paste the content below into the file ```Dockerfile FROM n8nio/n8n:latest USER root # Install FFmpeg (example for Alpine Linux, common for n8n base image) RUN apk add --no-cache ffmpeg USER node ``` #### Then press `ctrl+o` then `enter` then `ctrl+x` ```yml services: n8n: container_name: n8n build: ./n8n/ ports: - "5678:5678" volumes: - n8n_data:/home/node/.n8n - ./n8n/shared:/data/shared restart: unless-stopped volumes: n8n_data: name: n8n_data ```

Hey guys, any recommendations would be really appreciated

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Google hides traces of Gemini's reasoning, drawing criticism from enterprise developers who are forced to "debug in the dark." The lack of transparency fuels the debate about opaque models versus the need for clarity. Full news: https://venturebeat.com/ai/googles-gemini-transparency-cut-leaves-enterprise-developers-debugging-blind/