Project Tapestry aims to give every nation and participant frontier AI they can call their own — uniting a global consortium to train a shared frontier model family from which partners build and own sovereign models aligned to their national, socio-cultural, and industrial needs.

Rust client for t3.chat access Claude Fable-5, GPT-5.6, Gemini 3.5, Grok 4.3, DeepSeek V4 & 50+ frontier AI models from your terminal. TLS impersonation, credit tracking, usage billing.

The executable culinary benchmark for frontier language models.

Autonomous AI researcher that probes where frontier models disagree — with TEE-verified independent responses on the OpenGradient Network

pi-t3chat t3.chat extension for Pi coding agent. 50+ frontier AI models (Claude Fable-5, GPT-5.6, Gemini 3.5, Grok 4.3, DeepSeek V4, Llama 4, Qwen 3) via t3.chat subscription. TLS impersonation, dynamic model discovery, tool calling, MCP wrapper tools.

Track the latest model releases on Microsoft Foundry — with a changelog of announcements plus runnable capsules (README + notebook) per release, organized by publisher.

Four-tier world-class level-up analysis for AI coding harnesses: ESA native analysis, ESAT trio, ESAT Fleet, and ESAT Frontier fusion.

Research log — tracking the path to AGI through daily paper analysis, replication studies, and architecture experiments

AI Agents Arena is a benchmark harness that pits 8 distinct AI agent architectures against a suite of tasks.

Autoscience (Autoscience Institute) builds AI systems that train state-of-the-art models for frontier and applied AI labs. The company automates AI research itself, developing agents and infrastructure that design, run, and evaluate machine-learning experiments to accelerate model development and automated scientific discovery.

PSAI-Bench: Physical Security AI Triage Benchmark — evaluates whether frontier AI models benefit from video in physical security triage

LLM Inference Bottleneck Registry + companion papers on ASIC projection, Musk OS integration blueprint, and reasoning-tax economics

Preliminary public-evidence audit of decision consistency across Anthropic Responsible Scaling Policy versions.

Policy and evaluation framework for ChemBio risk classification in advanced AI systems.

Evidence-to-governance framework for analysing frontier AI model risks through public evaluations, uncertainty tracking and supervisory triggers.

AI 趋势信号库 — 单点信号、结构化拆解、可证伪框架。Signals tracking the shape of where AI is going.

Human-as-API for frontier models — compile prompts, deliver via Telegram, inject replies back into Pi

A design framework and evaluation set for how a model-routing safety layer should explain itself to a benign user, without disclosing the trigger to an adversary.

Arcanea VS Code agent fork for MoE Guardian routing, frontier-model selection, and AI-native worldbuilding workflows.