New Learning Track: Future of AI - AGI, Regulation, Safety & Economic Impact
AI Maniacs just launched its newest learning track - Future of AI - with 12 lessons covering the biggest questions about where artificial intelligence is heading. If you've ever wondered when we'll get AGI, what the EU AI Act means for you, or whether AI is coming for your job, this track has you covered.
Why a "Future of AI" Track?
We had scattered content about AI trends, emerging research, and the 2026 landscape, but no single place to explore the big-picture questions. The new Future of AI track brings it all together across four themes that affect everyone - not just engineers.
AGI and Milestones
Three lessons trace the arc from today's narrow AI to the possibility of artificial general intelligence:
- Understanding AGI - What AGI actually means, how it differs from the AI you use today, and common misconceptions worth clearing up
- AI Progress Timeline - From Deep Blue to ChatGPT to the agents era, the milestones that got us here and the benchmarks tracking what comes next
- Path to General AI - Current research directions, the capability gaps that remain, and what experts actually say about timelines
Regulation and Policy
Three lessons break down the global regulatory landscape without the legalese:
- Global Regulatory Landscape - How the EU, US, China, and others are approaching AI governance, from permissive to restrictive
- Major AI Regulations - The EU AI Act's risk tiers, US executive orders, China's generative AI rules, and what they require
- How Regulations Affect You - What these rules mean in practice for individuals, businesses, and developers
Safety and Alignment
Three lessons on the challenge of building AI systems we can trust:
- The Alignment Problem - Why getting AI to do what we actually want is harder than it sounds, featuring the paperclip maximizer and King Midas thought experiments
- AI Safety Research - RLHF, constitutional AI, interpretability, red-teaming, and the organizations leading safety work
- Responsible AI Development - Transparency, bias mitigation, human oversight, and what you can do right now
Economic Impact
Three lessons on AI and the workforce - balanced, practical, and forward-looking:
- Jobs and AI - The displacement vs. augmentation debate, which roles are most affected, and historical parallels with past technology shifts
- New Roles AI Creates - Prompt engineers, AI trainers, AI ethicists, automation specialists, and the skills these roles require
- Preparing for an AI Economy - Industry transformation patterns, skills worth developing, and strategies for building an AI-resilient career
Mixed Difficulty Levels
Most lessons are beginner-friendly and assume only AI 101-level familiarity. Three intermediate lessons - Path to General AI, Major AI Regulations, and AI Safety Research - go deeper for those ready to explore technical and policy details. Every lesson stands on its own, so jump into whatever interests you most.