By combining artificial intelligence, creative automation, and self-evolving component models, the platform seeks to establish a new paradigm for intelligent content and system creation.
# Idea: SAP as a coordination + verification layer for agentic robotics (2026)
DeepMind’s public roadmap signals for 2026 point toward: - agentic AI at product scale, - robotics as a general intelligence layer, - and AI-for-Science via automated labs.
SAP (Space AI Protocol) is a complementary systems layer: - It tokenizes space-time (VoxelTimeSlot) and grants execution rights via Tickets. - It resolves multi-robot contention via auctions. - It adds PredictiveSync and Rollback for resilience under drift and network variability.
Hypothesis: Gemini-like agents propose plans; SAP enforces safe, auditable execution. Next: a minimal sim benchmark measuring throughput, conflict rate, rollback recovery time, and generalization across different robot bodies.
**HAO (Human AI Orchestra)** is a next-generation collaborative development framework that maximizes synergy between **human intuition** and the **diverse strengths of multiple LLMs**—turning the human from a “coder” into a **conductor**.
At its core is an **11-step workflow** you can run immediately: divergence for wild ideas → convergence into architecture → critique & voting → synthesis → blueprinting (Gantree) → prototyping (PPR) → cross-review → refinement → roadmap → implementation. The philosophy is intentionally **anti-standardization**, treats **conflict as a resource**, and keeps **orchestration** (human-in-control) as the center.
This repo includes the **developer manual** (with concrete prompt templates), plus real artifact histories from two full runs: **Dancing with Noise** and **Dancing with Time**.
# Title: The Prophecy of Super AI/Rust-Native Humans
We are entering an era where children will grow up playing with AI while coding in Rust. By internalizing Rust’s ownership and memory-safety rules as naturally as their native tongue, they will evolve into AI/Rust-native humans—a new kind of superhuman capable of real-time system design, creative problem-solving, and building ultra-stable software ecosystems. Rust is not just a language; with AI as a tutor, it becomes a cognitive framework for the next generation.
Dropped a dataset on here for linking org data: half a billion records scraped from LinkedIn networks. Positive/negative matches, bipartite graphs, Markov clusters – all the goods to train models that actually work on fuzzy company names.
