Resources & Research
Curated resources for understanding AGI development
The 2017 paper that introduced the Transformer architecture — the foundation of all modern LLMs including GPT, Claude, Gemini, and Llama.
Anthropic's method for training AI systems to be helpful, honest, and harmless using a set of principles rather than purely human feedback.
OpenAI's foundational work showing that model performance improves predictably with scale — the insight driving the current AI race.
Google DeepMind's framework for measuring AGI progress across performance and generality dimensions, from 'Emerging' to 'Superhuman.'
Microsoft Research's analysis of GPT-4's capabilities, arguing it shows early signs of general intelligence across diverse tasks.
Led by Yoshua Bengio with 100+ experts. Finds AI capabilities are advancing faster than safety measures. The most comprehensive global safety assessment.
Anthropic CEO's essay envisioning how powerful AI could transform biology, neuroscience, poverty, governance, and work for the better.
Free course making deep learning accessible. Top-down approach — build working models from lesson one. Regularly updated.
Comprehensive AI/ML courses from Andrew Ng on Coursera. Includes specializations on LLMs, prompt engineering, and AI agents.
Harvard course teaching fundamental skills for conducting cutting-edge AI research and writing research papers.
Andrew Ng's Stanford ML course covering supervised learning, deep learning, generalization, and reinforcement learning.
MIT's fast-paced intro covering neural networks, sequence modeling, generative models, deep RL, and AI ethics.
International Conference on Machine Learning. July 6-11, 2026 at COEX Convention Center. Premier ML research venue.
Conference on Neural Information Processing Systems. December 6-12, 2026. The largest and most prestigious ML conference.
IEEE Conference on Computer Vision and Pattern Recognition. The top venue for computer vision and multimodal AI research.
Association for the Advancement of Artificial Intelligence conference. Broad AI research including safety, ethics, and applications.
Searches 138M+ scholarly papers using semantic search. The most powerful AI literature review tool available.
Searches 200M+ academic papers with AI synthesis. Indispensable for finding evidence and citations.
Learns your interests, recommends papers, and offers interactive visual maps of authors, themes, and citation networks.
Delivers citation-backed explanations, summaries, and answers directly from research papers.