Analysis and research from FAESR.ai — exploring AI alignment, open source intelligence, and complex systems.
Scaling works because larger models provide more geometric room for features to avoid interfering with each other — a mathematical necessity, not architectural cleverness.
The distinction between humans as genuine agents and AI systems as "mere reactors" appears increasingly untenable. Both are causally determined — neither chose their initial conditions.
The difference between optimization and motivation isn't computational power — it's felt stakes. Evolution already solved alignment. It solved it chemically.
How institutional networks shape energy narratives—and what the data actually says about near-term production potential.