The Replacement Parts: Making Every Component Brain-Compatible
FENA doesn't just add neuroscience on top — it replaces the biologically impossible components of standard AI with mechanisms the brain actually uses. Here's what got swapped, and why.
The Climb — FENA's 16 Milestones to General Intelligence
FENA follows a deliberate 16-milestone roadmap from basic text understanding to ARC-AGI-3. Here's the full capability ladder, where we stand, and the road ahead.
Always On — FENA's Continuous Streaming Architecture
FENA doesn't wait for prompts. It processes information continuously through an always-on perception-action loop, fundamentally departing from the request/response paradigm of modern AI.
The FENA Swarm: A Vision of Intelligence Without Limits
What happens when you replace LLMs with brain-inspired FENA models inside a multi-agent swarm? A vision of agents that never stop thinking, truly remember, perceive their world, and collaborate as a living intelligence.
Training Day — How FENA Learns and What We Found
The story of getting FENA to train: how the local learning pipeline works in practice, what the first results looked like, and the challenges we overcame along the way.
Continuous Time — Why FENA Thinks in Differential Equations
FENA's Continuous-Time Dynamics Engine replaces discrete processing steps with differential equations, enabling multi-timescale processing and smooth energy minimization.
Free and Better: Why We're Building an Alternative to Modern AI
Intelligence shouldn't require a data center, a subscription, or permission. We're building FENA — an architecture that makes AI both free to run and fundamentally more capable.
Learning to Remember — How FENA Consolidates Experience Into Knowledge
FENA's Memory Consolidation Pipeline transforms fleeting experience into stable knowledge through a biologically inspired three-tier system — working memory, episodic storage, and semantic understanding.
Memory Without Matrices — How FENA Remembers
FENA's three-tier memory architecture mirrors biological memory systems — working memory, episodic storage, and semantic knowledge — all integrated through energy-based settling dynamics.