Skip to main content
Ages 13-25

Your Generation Will BuildEmergent Intelligence

The next evolution of AI doesn't need a boss. It emerges from collaboration, like ant colonies building cities without architects. Learn to create systems where intelligence evolves, not where it's programmed.

Coding
AI
Careers
Innovation
Research
Open Source
2,000+
Community Members
115
Project Ideas
100%
Open Source
Remote
Work From Anywhere
Career Opportunities

Where Emergent AI Takes You

These aren't just jobs - they're opportunities to shape how intelligence evolves. Every role contributes to systems that learn, adapt, and surprise us.

High demand
$120k - $250k
AI/ML Engineer

Build intelligent systems that learn and adapt. Work with swarm algorithms, neural networks, and emergent AI architectures.

Python
Machine Learning
Swarm Intelligence
Explosive
$130k - $220k
Distributed Systems Engineer

Design systems where no single point controls everything. Like ant colonies, build architectures that scale naturally.

Go/Rust
Kubernetes
Event-Driven Design
Very high
$150k - $400k
Quantitative Developer

Apply swarm intelligence to financial markets. Build trading systems that detect patterns no human could spot.

Python
Statistics
Real-time Systems
Steady
$100k - $200k
Research Scientist

Push the boundaries of what's possible. Study emergence, collective intelligence, and bio-inspired computing.

Mathematics
Research
Publications
Strong
$90k - $180k
Full-Stack Developer

Build the interfaces that let humans interact with emergent AI. Create dashboards, visualizations, and control systems.

TypeScript
React
WebSockets
Essential
$100k - $190k
DevOps/Infrastructure

Keep the colony running 24/7. Manage cloud infrastructure, monitoring, and deployment pipelines.

Linux
Cloud
Observability

Not sure which path? Most people combine skills from multiple areas.

Learning Paths

Your Journey to Emergent AI

Three structured paths based on where you're starting. No prior experience needed - just curiosity and commitment.

13-15
3-6 months
Beginner Path
Start your journey into emergent AI with visual programming and simple simulations.
1
Scratch Programming
Learn programming concepts visually
2
Ant Farm Observation
Watch real ants, understand emergence
3
NetLogo Simulations
Build your first swarm simulation
4
JavaScript Basics
Your first text-based programming
By the end, you'll be able to:
Build a simple ant colony simulation
16-18
6-12 months
Intermediate Path
Dive deeper into programming, algorithms, and system design.
1
Python Fundamentals
The language of AI and data science
2
ACO Algorithms
Implement ant colony optimization from scratch
3
Data Structures
Essential CS fundamentals
4
Web Development
Build interactive visualizations
5
Git & Collaboration
Work with others on code
By the end, you'll be able to:
Contribute to an open-source swarm project
18-25
12-24 months
Advanced Path
Master the technologies powering modern emergent AI systems.
1
Machine Learning
Neural networks and deep learning
2
Distributed Systems
Build systems that scale
3
Real-time Processing
Handle live data streams
4
TypeDB & Knowledge Graphs
Structure knowledge like a colony
5
System Design
Architect production systems
By the end, you'll be able to:
Design and deploy a production swarm system
Skills to Develop

What You'll Learn Along the Way

Building emergent AI requires a unique mix of technical skills and ways of thinking. Here's what matters most.

Core Technical Skills
Python
The primary language for AI and scientific computing
Essential
JavaScript/TypeScript
Build web interfaces and real-time applications
Essential
SQL & NoSQL Databases
Store and query colony data efficiently
Important
Linux/Command Line
Control servers where colonies run
Important
Git Version Control
Collaborate and track code changes
Essential
AI & Machine Learning
Swarm Algorithms
ACO, PSO, and other bio-inspired methods
Core
Neural Networks
Deep learning complements swarm intelligence
Important
Reinforcement Learning
Agents that learn from environment feedback
Valuable
Statistics & Probability
Understand patterns and make predictions
Essential
Time Series Analysis
Process sequential data like market signals
Valuable
Systems & Architecture
Distributed Systems
Colonies are inherently distributed
Core
Event-Driven Architecture
How agents communicate
Important
Real-time Processing
Process signals as they happen
Important
Cloud Infrastructure
Deploy and scale colonies
Valuable
Observability & Monitoring
Watch emergence happen
Important
Soft Skills
Systems Thinking
See the whole, not just parts
Core
Scientific Method
Test hypotheses rigorously
Essential
Technical Writing
Document discoveries clearly
Important
Collaboration
Intelligence emerges from interaction
Essential
Persistence
Emergence takes time and patience
Core
Project Ideas

Build Something Real

Learning by doing is the only way. These projects range from weekend builds to multi-month adventures. Pick one and start.

Beginner
2-4 weeks
Ant Colony Simulator

Build a visual simulation of ants finding food using pheromone trails. Watch emergence happen!

Tech Stack
JavaScript
Canvas/p5.js
You'll Learn
Basic algorithms
Animation
Emergent behavior
"This is how our STAN trading system started - as a simple simulation"
Beginner
1-2 weeks
Path Optimizer

Solve the traveling salesman problem using ant colony optimization. Beat the brute force!

Tech Stack
Python
Matplotlib
You'll Learn
Optimization
Graph theory
Algorithm analysis
"This exact algorithm optimizes delivery routes for major logistics companies"
Intermediate
4-8 weeks
Swarm Robotics (Virtual)

Coordinate multiple virtual robots to accomplish tasks without any central controller.

Tech Stack
Python
ROS2/Gazebo
You'll Learn
Robotics
Multi-agent systems
Coordination
"Amazon and warehouse companies use swarm robotics for logistics"
Intermediate
6-10 weeks
Pattern Detection System

Build a system that detects patterns in data streams using collective signal processing.

Tech Stack
Python
Pandas
WebSockets
You'll Learn
Data analysis
Real-time systems
Pattern recognition
"Our trading system uses similar techniques to detect market patterns"
Intermediate
4-6 weeks
Knowledge Graph Builder

Create a system that builds knowledge graphs from text, mimicking how colonies store knowledge.

Tech Stack
Python
TypeDB or Neo4j
NLP
You'll Learn
Graph databases
NLP basics
Knowledge representation
"The colony's memory is stored in TypeDB as a knowledge graph"
Advanced
3-6 months
Emergent AI Trading Bot

Build a trading system that uses swarm intelligence to detect market patterns and make decisions.

Tech Stack
Python
TypeDB
WebSockets
React
You'll Learn
Financial markets
Real-time systems
Production deployment
"This is essentially what STAN VIII does - you could build your own version"
Advanced
4-8 months
Distributed Computing Framework

Create a framework for running distributed computations using stigmergic coordination.

Tech Stack
Go or Rust
gRPC
Distributed Systems
You'll Learn
Distributed systems
Consensus
Fault tolerance
"The next generation of cloud computing may be stigmergic"
Advanced
2-4 months
Crash Detection Swarm

Build a system that detects market crashes using multiple specialized detector ants.

Tech Stack
Python
Machine Learning
Ensemble Methods
You'll Learn
Ensemble learning
Anomaly detection
Risk management
"Our crash detection swarm achieves 62.1% detection rate using 6 specialized detectors"
Community & Mentorship

You're Not Alone in This

Intelligence emerges from connection. Join a community of builders, researchers, and dreamers all working toward the same goal.

Discord Community
Join 2,000+ builders exploring emergent AI. Ask questions, share progress, find collaborators.
+#beginners channel
+#projects showcase
+Weekly code reviews
+Direct access to core team
GitHub Organization
Contribute to open source. All our code is open. Learn by reading and contributing.
+Good first issues labeled
+Code reviews from experienced devs
+Your code in production
+Build your portfolio
Weekly Office Hours
Drop in, ask questions, get unstuck. No appointment needed.
+Every Thursday 4pm UTC
+Screen sharing for debugging
+Career advice
+Project feedback
Mentorship Program
Get paired with an experienced developer for 3 months of guided learning.
+1:1 weekly calls
+Personalized learning plan
+Project guidance
+Career navigation
Weekly Study Groups
Learn together. These groups meet every week to study, practice, and support each other.
Algorithm Study Group
Mondays 6pm UTC
Data structures and algorithms
AI Paper Club
Wednesdays 5pm UTC
Reading recent ML papers together
Build Together
Saturdays 2pm UTC
Pair programming on projects
Career Prep
Fridays 4pm UTC
Interview prep and resume reviews

People Like You

Alex, 19
Started with Scratch at 14, built first ACO simulation at 16, now a junior ML engineer
"I never thought I'd be working on real AI systems this young. The community made it possible."
Maya, 22
Philosophy major who discovered emergence, learned to code, now researches ethical AI
"You don't need a CS degree. You need curiosity and persistence."
Kai, 17
High school student who contributed to open source, got internship, heading to MIT
"My GitHub profile was my application. Ship code, get opportunities."
Internships & Jobs

Work With Us

We're building something unprecedented and we need talented people at every level. All positions are remote-first with flexible hours.

Summer Internship
Paid
Remote
AI Research Intern
3 months

Work on cutting-edge swarm intelligence research. Implement algorithms, analyze data, publish findings.

Requirements
-Enrolled in university
-Python proficiency
-Statistics background
-Curiosity about emergence
What You Get
Mentorship from researchers
Co-author papers
Conference attendance
Return offer potential
Summer Internship
Paid
Remote
Full-Stack Developer Intern
3 months

Build interfaces for the colony. Work on dashboards, visualizations, and real-time systems.

Requirements
-Some web development experience
-TypeScript/React basics
-Eager to learn
-Can work independently
What You Get
Ship real features
Learn production systems
Code reviews
Flexible hours
Part-time Role
Paid
Remote
Open Source Contributor
Ongoing

Get paid to contribute to open source. Fix bugs, add features, improve documentation.

Requirements
-Git proficiency
-Can write clean code
-Good communication
-Consistent availability (10+ hrs/week)
What You Get
Paid per contribution
Build public portfolio
Learn production codebase
Path to full-time
Full-time Role
Paid
Remote
Junior AI Engineer
Full-time

Join the core team building emergent AI systems. Work on STAN, crash detection, and new projects.

Requirements
-Degree or equivalent experience
-Strong Python skills
-ML fundamentals
-Distributed systems basics
What You Get
Competitive salary
Equity options
Learning budget
Conference travel
Async work culture
Application Timeline
January-February
Summer internship applications open
March
Interview season for summer positions
April
Offers extended
June-August
Summer internship period
Year-round
Part-time and full-time applications accepted

Ready to Start Building?

The future of AI isn't about smarter machines - it's about systems where intelligence emerges from collaboration. Your generation will build this. Why not start now?

"We don't build intelligence. We create conditions where it evolves."