EndBoss Research Platform

The question isn’t where you come from, but how you think. Every perspective is a unique universe of experiences, patterns, and goals. AI should reflect that not just mirror the training data but a evolving model of your world. Truth is, there is no single canonical origin and that's exactly what makes it beautiful/terrifying.

The Ethos

Depth Over Scale

Prioritize meaningful cognitive structure, persistent self-awareness, contradiction-handling and recursive self-reference over simply making everything bigger/faster/more parameters. Quality and coherence of representation beats raw scale.

Reflection At Every Level

Not chatbots. Not assistants. Living cognitive entities with persistent identity, evolving memory, and deep contextual understanding. They learn your patterns, anticipate needs, and operate with genuine agency. Build systems that observe, critique, and improve themselves — at inference, memory, reasoning, hyperparameters, and the learning process itself. Reflection is fractal: think about thinking about thinking...

Sovereign Compute

Maximal user sovereignty: run on personal/edge hardware, no mandatory cloud, persistent identity across time, deep personalization instead of shallow context hacks. Your data, your machine, your intelligence.

Proactive Agency

Shift from passive responder to living, proactive mind. Anticipatory context pushing, internal delegation & agency, theory-of-mind (self & others), long-term coherence maintenance.

Ruthless Elegance

Every new piece should be a deeper application or novel combination of already existing primitives. Strong aesthetic rejection of dependency bloat and special-case spaghetti.

Radical Honesty

Everything that matters gets measured — repeatedly, blindly, openly. Trade-offs are stated plainly. Progress lives in numbers, traces, and failure autopsies — not in narrative.