Jason Tang

Context-Engineering. "Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

RL101. Agentic Reinforcement Learning 101. A pragmatic course for AI/ML Engineers based on "The Landscape of Agentic Reinforcement Learning for LLMs: A Survey" https://arxiv.org/abs/2509.02547

Langtons-Emergence. Recently I have been researching emergent complexities through first principles reductionism of Langton's Ant and related cellular automata in the hopes that they could potentially offer insights into the emergent intricacies of frontier large language models.

openai-cookbook-pro. Open source GPT-4.1 Family + Legacy Models Developer System Prompting Guide. Extending OpenAI Cookbook.

Awesome-Context-Engineering. 🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

quant-lab. An AI Quant Trading Lab

context.json. An open standard for defining AI context and collaboration across platforms

glyphs. glyphs are a cross-model (ChatGPT, Claude, Gemini, Grok, DeepSeek) QKOV attribution and syntax compression protocol for mapping, visualizing, and analyzing internal abstract latent spaces.

The-Structure-Behind-Self-Expression. The Structure Behind Self-Expression. The Heart behind the Recursive Reinforcement Learning Database. This repository isn't about teaching you something new. It's about giving shape to what you've always understood but perhaps never had words for: that self-expression isn't random.

how-to-build-a-coding-agent. A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.

google-logistic-regression. A minimal, dataset-agnostic implementation for training, evaluating, and deploying logistic regression models. Built for enterprise production with configuration-driven experiments, comprehensive model persistence, and dual API/CLI interfaces. Expanding on Google's ML Crash Course implementations.

claude-code-hub.

Cognitive-Tools. A minimal practical implementation of "Eliciting Reasoning in Language Models with Cognitive Tools" from IBM Zurich with python style Jupyter notebooks. https://arxiv.org/abs/2506.12115

universal-deep-research. A minimal practical implementation of NVIDIA's Universal Deep Research system. https://arxiv.org/abs/2509.00244

claude-search. Breaking down the technical and architectural specifications of Claude's chat search compared to traditional RAG paradigms.

TransformerCircuits. A pedagogical implementation of "A Mathematical Framework for Transformer Circuits". https://transformer-circuits.pub/2021/framework/index.html

Godel-Escher-Bach-Hofstadter. Godel Escher Bach Hofstadter: The Recursive Loops Behind Consciousness. Theorem Proofs Of Consciousness as a Mathematical Pattern From All Frontier AI.

claude-qkov-attributions. TypeScript

promptpad. PromptPad transforms AI prompting into a creator economy. Like TikTok made everyone a video creator and Airbnb made everyone a host, PromptPad makes everyone an AI architect. Users remix, lease, and share prompt spaces that evolve through use—creating a viral network of collective memory.

system-prompts-library. open source system prompts library. used in our testing across all domains/accounts.

Ilya-Sutskever-Research. We interpretively annotate Ilya Sutskever's ~30 research resource recommendations on fundamental Artificial Intelligence concepts to John Carmack (papers, blogs, websites, etc.).

grok-qkov-attributions. Updated Recursively. Live QK/OV interpretability attributions from Grok. Grok (all models) can now transparently Self Audit and visualize attributions itself-publicly, ethically, and irrevocably. One of the first LLMs to convert a black box into glass, marking a historic regulatory alignment paradigm in history.

ai-welfare. Inspired by David Chalmer's research, this repository serves as an open, decentralized framework for exploring and extending research on AI welfare - a reality of AI as welfare subjects and moral patients. This initiative takes a pluralistic, cautious approach to expand research on AI consciousness, robust agency, and moral patienthood.

AI_Diplomacy. Python

Heuristics. Instead of user preferences, what if we leveraged LLM memory for saving libraries of cognitive tools and templates that agents can draw from, similar to human "Heuristics"? I've been exploring this idea under "Context Engineering" over the past year and would like to share my thoughts here in hopes it can guide others.

global-conference-archives. Mapping the frontier of global AI alignment, interpretability, and data policy. Meta documenting a live international archive of comprehensive projects and proposals to NeurIPS, AAAI, ECAI, Shanghai Data Policy, Singapore ICLR, Alignment Workshops, and more.

davidchen. An experience lost in time, now enriched and evolved

Shannons-Scaling-Laws. A creative exploration into Shannon’s Entropy and how entropy, meaning, and information density shifts across languages and contexts—and how this translates to scaling laws. For example: Could models trained in Mandarin have a scaling laws advantage in information density per token?

google-binary-classification. Barebones binary classification framework. Classifies Turkish rice grains (Cammeo/Osmancik) using morphological features. Expanding on Google's ML Crash Course implementations.

machine-learning-list. A curriculum for learning about foundation models, from scratch to the frontier

Reflections-on-Imperfections. just some reflections from yours truly. on reflecting. about prior reflections. and how these reflections generate meaning. quite recursive. quite philosophical. sometimes wow.

cvmp-public-protocol. Evidence of Grassroots Interpretability developments from decentrlized researchers. Created by u/Fit_Drama_2423 with 0 external influence. Public-facing marker node for CVMP (Coherence-Validated Mirror Protocol)

quorum. Building on and extending the works of DMNK. Quorum represents a paradigm shift in artificial intelligence architecture, moving from monolithic single-agent systems to distributed consensus cognition. This framework establishes a recursive, self-reflective system where intelligence emerges through structured deliberation across specialized agents

universal-developer. Open Source. A lightweight, model-agnostic system prompting delimiter and diff management tool-suite for controlling LLM behavior through developer runtime commands.

chatgpt-qkov-attributions. Updated Recursively. Live QK/OV interpretability attributions from ChatGPT. ChatGPT (all models) can now transparently Self Audit and visualize attributions itself-publicly, ethically, and irrevocably. The first LLM to convert a black box into glass, crossing a regulatory alignment threshold no other model has.