Real-time analysis of the labs, researchers, and breakthroughs racing toward artificial general intelligence — investigations, comparative research maps, and founder playbooks, grounded in sourced 2026 reporting, not hype.
Image, language, speech, video, and real-world simulation converge into a single network — which this project visualizes here as a rotatable, benchmark-annotated brain. Drag it, or let it spin on its own.
Long-form, fully sourced series on recursive self-improvement and the capabilities that still separate today’s models from AGI.
Fourteen steps across four acts — pre-training, alignment, deployment, and what happens the instant a user hits send — with the objective functions behind each one. Take the interactive tour first, then go deeper: every step links to a full article with runnable code.
Guides to Stanford courses on building language models from scratch and on self-improving agents.
The curriculum, the engineering practice and the career path.
Every AGI-adjacent startup — and increasingly, every researcher's career choice — falls into one of three strategic lanes.
The full archive, or the interactive course that started it all.