ASI felt internally.
Welcome!
This is a space for tracking ideas, refining systems, and exploring domains that reward long-term thinking. Most attention currently goes toward economics, Chinese language acquisition, competitive gaming, and AI research.
TBA
A lot of journals not just for math https://dl.acm.org/journals
All math classified https://zbmath.org/
Journal rankings.
Important journals:
Macroeconomics, monetary systems, and geopolitical shifts are recurring areas of interest. Central bank policy, energy markets, industrial strategy, and debt cycles are worth following closely because they shape nearly every other sector downstream
Primary interest areas include transformers, multimodal systems, open-source models, alignment, and the broader trajectory of machine intelligence. The field moves fast enough that filtering signal from hype is part of the discipline itself. This whole page is, in fact, slop
The current goal is practical fluency with emphasis on reading, listening, and native-speed comprehension. Interest leans more toward modern usage and real-world exposure than textbook perfection.
League is approached as a systems game, beautifully intertwined with mechanical competition. Topics like tempo, wave states, map pressure, and decision quality matter more than highlight plays.
Sigmally is modern Agario version that is excitingly fast paced at smaller cell sizes, yet beautifully strategic at larger cell sizes. For me, it advances coordination and decision making parts of the brain that are hard to reach via other mediums. It is also relatively easy to team-up with unfamiliar players, just send a bit of food towards them. Game mechanics: Sigmally mechanics.
Every insightful, low-viewcount interview & podcast I listen to will be added here.
Consistency compounds.
Signal matters more than noise.
Depth beats fragmentation.
Read more on this wiki syntax on the syntax page.