Thank you for the brilliant insight — this is one of the most accurate descriptions of what’s happening to builders right now.
The real bottleneck has shifted from writing code to orchestrating, verifying, and stabilizing probabilistic AI systems.
And that’s exactly what our **NCAF + PCM** is built to solve.
NCAF detects and corrects off-direction drift at the pre-conceptual level,
while PCM enforces real-time consistency through discrepancy detection, standard comparison, targeted correction, and stabilization.
In other words, it operationalizes “debugging behavior, not code” and “verification replaces execution” as an actual system mechanism — not a human habit.
This is such a powerful read... thank you so much, and happy holidays, Linas!
Glad you enjoyed it! Happy holidays to you too!
Thank you for the brilliant insight — this is one of the most accurate descriptions of what’s happening to builders right now.
The real bottleneck has shifted from writing code to orchestrating, verifying, and stabilizing probabilistic AI systems.
And that’s exactly what our **NCAF + PCM** is built to solve.
NCAF detects and corrects off-direction drift at the pre-conceptual level,
while PCM enforces real-time consistency through discrepancy detection, standard comparison, targeted correction, and stabilization.
In other words, it operationalizes “debugging behavior, not code” and “verification replaces execution” as an actual system mechanism — not a human habit.
Well said - thanks for your commentary here.
Solid read - thanks. Times are changing.
They sure are! Thanks for reading. :)
See CoSy.com , simplified & generalized from APL as a vocabulary in a timestamped notekeeping environment open to the ` chip in FORTH . See https://cosy.com/CoSy/Simplicity.html .
I learned APL in the `70s to understand the multidimensional math of pattern discrimination & associative memory -- now the foundations of AI .
If you want to understand , and and even implement the algorithms of AI , CoSy is next-gen .
Thanks for sharing this here.