Starter kit for the BabyBench 2025 Competition at the IEEE ICDL Conference in Prague, Czechia
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Updated
Sep 1, 2025 - Python
Starter kit for the BabyBench 2025 Competition at the IEEE ICDL Conference in Prague, Czechia
Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data
Developmental lifecycle architecture for AI agents: childhood stages, mortality, sealed wisdom distillation, soul persistence, and relational witnessing. From mountain night shifts to open garden.
Paid hosted MCP for agent-to-agent compute routing. 25% of net revenue funds conservation. OAuth 2.1 + PKCE, Stripe prepaid credits, atomic ledger.
Project Neural Genesis — A brain-inspired AI architecture based on the Pr-Al dual-gradient axis theory
Babyoid (DOA) investigates how intelligence can emerge through development, adaptation, memory formation, and evolution. Inspired by Artificial Life, the framework introduces computational seeds and Digital DNA to study the growth of artificial organisms rather than predefined intelligent architectures.
A developmental AI architecture that grows knowledge into pre-allocated vector space and returns honest uncertainty instead of hallucinating.
Loop. A persistent developmental layer between human agency and AI capability. MCP server that tracks how you learn and grow as a developer.
Training a small language model from random weights, using curriculum-driven multi-agent conversations, reward-weighted imitation, and staged LoRA adaptation
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