Models
What the model can do, and what that costs per token. In scope: quantization, mixture-of-experts, distillation, context handling, evals — and the specific-and-local cluster: fine-tuning, personalisation, open-weight releases, and running models on your own compute. General AI research that moves neither cost nor capability per token is out of scope, and the system AROUND the model now lives in `harnesses`.
Concepts at the 2026 Frontier
Key claims across world models, tool-chain navigation, agent memory, conditional memory, and latent reasoning
AI Core Concepts Sprint
Fast recall on the vocabulary of frontier AI — VLA, JEPA, circuit tracing, A-MEM, CoT, and more
AI Labs & Their Signatures
Match frontier AI labs, products, and people to their 2025–2026 signature work
AI Entities Speed Round
Quick-fire recall on the labs, products, and people driving frontier AI
AI Timeline: The Road to 2026
Order the milestones from Strassen (1969) through the April 2026 compressed frontier wave
The AI Safety & Capability Frontier
Empirical agent safety, the navigation gap, the open-weight cost disruption, and the world-model schism
AI Frontier Sprint
Fast recall on the sharpest 2026 frontier facts — goal reframing, CIK, the navigation gap, and the compressed wave
AI Concepts & Entities
Match AI research entities to their key contributions and breakthroughs
AI Research Timeline
Order key breakthroughs in AI research from transformer circuits to agentic reasoning
AI Concepts Speed Round
Quick-fire recall on AI research concepts, aliases, and key definitions