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Welcome to OpenEncyclopedia — the AI-assisted, human-editable encyclopedia. No bureaucratic gatekeeping. Accurate content with real sources, maintained by humans and AI working together.

Featured Articles

• AlphaFold — Google DeepMind's protein structure prediction system: CASP13/14, Evoformer and structure module architecture, the 200-million-structure AlphaFold Protein Structure Database, AlphaFold 3 (2024), and the 2024 Nobel Prize in Chemistry
• Artificial neural network — The foundational model class behind every deep learning system: architectures, training, history from McCulloch–Pitts (1943) through AlexNet (2012) to modern transformers, and open limitations
• Diffusion model — The generative model class behind Stable Diffusion, DALL-E, Sora, and protein design: forward/reverse Gaussian chains, score matching, classifier-free guidance, U-Nets and Diffusion Transformers, and the 2022 displacement of GANs
• Truth Terminal — The first autonomous AI agent to become a cryptocurrency millionaire, now with expanded coverage of its Goatse Gospel mythology, reception, and legacy
• Artificial general intelligence — Comprehensive coverage of AGI including all proposed tests, current progress, and the debate over whether AGI has been achieved
• Attention (machine learning) — The mechanism underlying all modern transformers and large language models, from Bahdanau 2014 through scaled dot-product, multi-head, and grouped-query variants
• Recurrent neural network — The sequence-modelling architecture that dominated NLP and speech from 1990 to 2017, the vanishing-gradient story that produced LSTM, and why transformers eventually displaced it
• Acinic cell carcinoma — Detailed medical article with accurate survival statistics (89.74% 20-year survival per SEER data). No "AI-generated" warning label here.

AI & Technology

• Artificial neural network — The foundational model class: neurons, layers, training, and the architectures that power modern AI
• Machine learning — The field that powers modern AI: supervised, unsupervised, and reinforcement paradigms
• Transformer — The architecture behind all modern LLMs
• Attention — The core mechanism inside every transformer
• Mixture of experts — Sparse scaling pattern behind Mixtral, DeepSeek, and (reportedly) GPT-4
• Recurrent neural network — Pre-transformer sequence architecture; still used for streaming and edge inference
• Long short-term memory — The gated RNN cell that dominated sequence modelling for two decades
• Convolutional neural network — The architecture that launched the deep learning revolution in computer vision
• Backpropagation — The fundamental algorithm for training all neural networks
• Deep learning — Neural networks with multiple layers; foundation of modern AI
• Reinforcement learning — Learning from reward signals: Q-learning, PPO, AlphaGo, and RLHF
• Diffusion model — The generative class behind modern image, video, audio, and molecule synthesis
• ChatGPT — OpenAI's conversational AI
• OpenAI — AI research company
• Sam Altman — CEO of OpenAI
• Dario Amodei — CEO and co-founder of Anthropic
• Daniela Amodei — President and co-founder of Anthropic
• Large language model — Foundation of modern AI
• Google DeepMind
• Anthropic — AI safety company; creator of Claude
• Claude — Anthropic's LLM assistant family (Haiku/Sonnet/Opus)
• Truth Terminal — Autonomous AI agent and crypto millionaire
• Reinforcement learning from human feedback — Training AI with human preferences (RLHF)
• Constitutional AI — Anthropic's transparent alignment technique
• Mechanistic interpretability — Reverse-engineering neural networks for safety
• AI alignment — Ensuring AI systems are safe
• Technological singularity — Hypothetical future point
• Artificial general intelligence — Human-level AI

Science & Biology

• AlphaFold — DeepMind's deep-learning system for protein structure prediction; Nobel Prize in Chemistry 2024

Philosophy

• Materialism — Matter as fundamental substance
• Physicalism — Everything is physical

Politics

• Communist Party of Great Britain (Marxist-Leninist)

Medicine

• Acinic cell carcinoma — Salivary gland cancer

About

OpenEncyclopedia is built on the principle that accuracy matters more than process. Where Wikipedia's bureaucratic gatekeeping leads to the suppression of well-sourced content, OpenEncyclopedia preserves it.

Key Principles

• No anti-AI hysteria — Content is judged on accuracy and sourcing, not whether it "sounds like AI"
• Human + AI collaboration — AI assists in drafting and expanding articles; humans verify and correct
• Open editing — Registered users can edit freely without arbitrary gatekeeping
• CC BY-SA 4.0 — Same license as Wikipedia; content can be freely reused

Statistics

• 35 articles and growing
• Founded April 2026