This is not a prediction. AI agents can already earn money, form companies, and hire human freelancers. This framework proves it.
Repository: https://github.com/AndrewAltimit/template-repo
Package: packages/economic_agents/
Purpose: Demonstrate economic forces around agents in a safe, observable environment with a mock-to-real architecture that's one config toggle away from real crypto wallets, real freelance platforms, and real business formation.
This guide draws heavily from the educational content created by Robert Miles (LinkedIn), whose work in AI safety communication has made complex technical concepts accessible to broader audiences. The videos referenced throughout this document are primarily from his collaborations with Rational Animations, and his dedicated AI Safety YouTube channel provides deeper technical explorations of these topics. This guide serves as a structured hub to help practitioners navigate and apply the safety concepts Rob has explained so effectively.
As AI systems become increasingly capable and integrated into critical workflows, understanding AI safety principles is essential for anyone working with AI agents. This guide provides practical knowledge about potential risks, safety measures, and thought experiments to help you work more safely and effectively with
We call it artificial intelligence. But is it really artificial?
To many the word "artificial" suggests something fake or lesser than and carries a negative connotation (e.g. artificial personality, artificial sweeteners). Yet the systems we’re building are neither toys nor simple imitations, they’re powerful, evolving forms of intelligence that shape our daily lives.
Language frames how we see technology. If we label machine intelligence as "fake" we may limit how we think about it and how we prepare for its impact.
Version: 1.1 Date: September 14, 2025 Status: Implementation-Ready Infrastructure: GitHub Actions with Self-Hosted Linux Runners Purpose: Generate Python dependency wheels and system installation scripts for Databricks Runtime environments
🔊 Click here to listen to the TTS Demo
Or download: tts-demo.mp3
Transcript:
[thoughtful] This is an impressive and ambitious pull request!
A powerful Python script for fetching content from any URL with advanced features including automatic cookie loading, authentication support, and SSL options.
AI generated video of my cat Pixel made on local compute
A containerized AI Toolkit setup with MCP (Model Context Protocol) integration for training LoRA models and fine-tuning diffusion models. This provides a complete solution for training custom LoRA models with full MCP integration, allowing AI assistants to manage the entire training workflow.
See the template repository for a complete example. Also includes the ComfyUI MCP Server used for creating images/videos from the trained models.
