Pillar 01
AGI
General intelligence
Definitions, technical roadmaps, agentic architectures, memory, and self-improvement on the path toward artificial general intelligence.
Agentic Architectures: ReAct, Reflexion, Planning, and Multi-Agent Coordination
A practical survey of the reasoning patterns behind autonomous AI agents, from ReAct and Reflexion to planning, self-consistency, and the trade-offs of multi-agent coordination.
Building an AGI-like Autonomous Agent: A Practical Overview
A practical, end-to-end overview of how an AGI-like autonomous agent is actually built, covering the control loop, model routing, tools, memory, safety guardrails, and evaluation.
Frontier Models in 2026: An Overview and Capability Roadmap
An overview of the 2026 frontier model landscape, the capabilities they have unlocked, the limitations they still face, and the practical roadmap from here towards more general intelligence.
Memory and Self-Improvement in AI Agents
How autonomous agents remember and improve over time without retraining, including the four-tier memory model, Reflexion, Voyager-style skill libraries, and prompt optimization with GEPA.
What is AGI? Definition, Roadmaps, Benchmarks, and Timelines
A practical explanation of what Artificial General Intelligence (AGI) means in 2026, how it differs from narrow AI and superintelligence, leading technical roadmaps, benchmarks tracking progress, and the debate over timelines.