frontier-ai

Compact operational charter that turns LLM coding agents into disciplined principal engineers. Eleven rules + one meta-rule.

Secure on device personal agents

Achieve Frontier AI performance in your CLI — fuse the local model CLIs you already run. Fan a prompt across a panel, a judge model compares the answers, a synthesizer writes one grounded reply instead of a majority vote. On a 100-task benchmark, every fusion panel beat its solo members.

LUMINA-30: non-binding boundary framework for preserving effective human refusal before irreversible AI consequences.

Ultra-low-latency client-side application that runs inside mobile browsers (iOS Safari / Android Chrome). This app connects to the Akasha Master Orchestrator, receives raw activation tensor binaries, processes them on the smartphone's local GPU using WebGPU, and flings the resulting tensors back down the wire in microseconds.

Frontier-Grade Open Weights ── フロンティア級のオープンウェイトモデルは、開かれたのか。Kimi K3 / GLM-5.3 を継続追跡する定点観測型OSS書籍 / They matched the frontier. But no one can hold them. Continuously updated.

We show that CoT monitoring is fragile under linguistic distribution shift. Across 13 languages and 16 frontier models, adversarial hints expose a 95.9% deception rate. This repo contains the code and resources for reproducing our findings.

Governed AI abuse detection gateway for prompt-decomposition, policy-bypass, cross-session coordination, and capability-assembly attacks. Detects when low-risk fragments combine into restricted output, preserving evidence for human review.

”🐱P-Research： Frontior quantitative AI research“

SEAS: frontier research engine that earns findings via an emission gate. Argo: live agentic Telegram scout that turns knowledge into project bets.

Technical product management and frontier AI skills showcase with evidence-grounded forecasting, AI evaluation, cost controls, and release governance.

"I had enough from API costs, time to use my Sybscriptions ." - z3eem56 . z3fusion: Fuse multiple AI models into one Top-tier answer, and top-tier AI Model fuses. this is a skill you can download it

Public-domain model state law: non-delegable duties for natural persons with practical authority over covered frontier-AI systems. Dotterweich/Park; never enacted.

Model-agnostic inference engine for fine-grained Mixture-of-Experts LLMs on Apple Silicon — streams experts from NVMe so the model never has to fit in RAM (a 235B runs from 32 GB up). Designed with an AI agent across some sessions: the direction came from human curiosity, the implementation depth from the collaboration.

Send one prompt to up to three AI models at once, compare their answers side by side, and vote for the best.

Open, versioned, publicly-contestable risk scoring format for AI verification coverage and frontier-system risk -- CVSS for AI safety.

Zen LM documentation

Learning Of Concepts In-context

OGMA — building the next generation of vision-driven AI systems. counfield.com

Grades twelve public claims by AI labs and large adopters about how much of their code an AI now writes, on whether each figure is checkable rather than whether it is true. One of twelve defines a rigorous denominator; none is externally audited or reproducible. Python 3, standard library only. DOI 10.5281/zenodo.21325372