> LLM & AI-Native: Its structured, tokenizable nature makes it powerful primitive for time-based reasoning, prompt engineering, and log analysis in AI systems.
Being significantly OOD usually does not help in this case, did I miss something here?
> LLM & AI-Native: Its structured, tokenizable nature makes it powerful primitive for time-based reasoning, prompt engineering, and log analysis in AI systems.
Being significantly OOD usually does not help in this case, did I miss something here?
Also I use a little preamble... here is what I send Anthropic's Claude Sonnet when it asks for the current AlphaDec over an MCP tool
// AlphaDec units (approx): Period = UTC yr (different length leap yr vs common yr) / 26 ≈ 14.04 days | Arc ≈ Period / 10 ≈ 33.7 hours | Bar ≈ Arc / 26 ≈ 77.75 minutes | Beat ≈ Bar / 10 ≈ 7.78 minutes. The final part of canonical AlphaDec is milliseconds offset within the beat. Period F, Period M, Period S, and Period Z always contain equinoxes/solstices. Truncating significant digits creates natural time groupings, eg 2025_M2 contains 'every alphadec in this arc' [ { "timezone": "UTC", "iso": "2025-07-25T00:47:09.219Z" }, { "timezone": "AlphaDec", "alphadec": "2025_O6B3_087680", "readable": "O6:B3" } ]