Approaching AI
A working direction for AI-enabled systems.
Our work in AI is exploratory. At its core, it is an attempt to understand how a competent human can operate with AI as an extended agency.
Current understanding
- AI systems today include large language models as well as machine learning and deep learning models operating across domains.
- We engage with these systems primarily as tools for proposal generation, exploration, and coding assistance.
LLM, ML, deep learning, and more — AI systems operating across domains.Beat 1 · AI landscape
domains · 6 / 6
[ AI Systems ]
LLM
ML
DL
AGI
NLP
VISION
across domains
CCC and constructs
- CCC is our internal framework: a center hub that relates named research pieces.
- Constructs (CTyTin, CEN, CBB) are the building blocks; regimes (CTB, CDD, CKN) are the operating modes beneath each column.
CTyTin, CEN, and CBB link into the CCC hub.Beat 1 · Constructs
Constructs
CCC
CTyTin
CEN
CBB
framework · linked
NewAge SRS
We are exploring a NewAge approach to system representation. The system definition is constructed, refined, and stabilised over time rather than fixed upfront.
- Capturing initial fragments
- Structuring candidate representations
- Iterative refinement
- Stabilisation as clarity emerges
AI systems are used to generate proposals which are examined and incorporated selectively.
Fragments gather into structure as clarity emerges.Beat 1 · NewAge SRS
step · clarity
SRS grid
Experimental Work
Includes recursive tool evolution across multiple efforts.
CircSpec
STPro
CrowdSourced Social Research
StarStocks
Lagniappe
DhanaDa
HiranyaKit
CogCer
AgriTasksCalendar
Baliraja
CNivas
CNivasOnB
CRoxolid
CEN
EEK
ArkKaarig
CTyTin
Zope Extract
NewAgeSRS
CENSRS
CTyTin OCaml
CTyTin 2.0
MarkEt
Requests for specific details welcome.
A living research ecosystem across many efforts.Beat 1 · Experimental work
CircSpec
STPro
CrowdSourced Social Research
StarStocks
Lagniappe
DhanaDa
HiranyaKit
CogCer
CTyTin
CTyTin 2.0
NewAgeSRS
CENSRS
Research ecosystem