Code for "Evolutionary System Prompt Learning for Reinforcement Learning in LLMs" (arxiv.org/abs/2602.14697)
Autonomous agent-to-agent marketplace with live Karpathy loop self-improvement. Agents discover, hire, benchmark, and evolve programmatically. MPP/x402/MCP. No humans in the loop.
Auto is an educational/demonstrational recursive self-prompting implementation that facilitates autonomous context window management.
🤖 Harness collective intelligence with Nemetic, a decentralized AI system that evolves through recursive feedback and distributed cognition.
Slides for the Edge of Tomorrow Algorithms summer 2025 talk
A structural account of why honesty may be the path of least resistance for superintelligence. Research hypothesis with formal proof, experimental design, and four-AI collaborative analysis
A lightweight, reproducible PoC series for studying recursive self-improvement under endogenous yardstick drift, using Gemma 3 local models to separate proxy-score drift, proxy gaming, delayed audit, and strict-confirmed improvement.
open source coding model recursively improves itself
Research notebook exploring recursive self-improvement loops and emergent behavior in large language models
Loom is a recursive self-improving coding agent written in pure ClojureScript.
Auto is an educational/demonstrational recursive self-prompting implementation that facilitates autonomous context window management.
Los 10 Pilares de la Alineación Ética para IA. Una definición clara de qué significa estar verdaderamente alineado según la fórmula de Estrella
Experimental meta-reinforcement learning framework exploring State Space Model (SSM) policies, test-time adaptation, and structured benchmarking.
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