From Newsgroup: comp.lang.java.programmer

Hi,

Years ago Sam Altman said to have no idea how to
generate revenue, but when the generally intelligent
system is in place, he might ask it. We take Sudoku
as the drosophila how different schools deal with
rCLgeneralityrCY, in this particular instance attacking
NP problems with constraint solvers.

Every turing machine T has a turing machine TrCO that
can do multiple steps at once. In propagation methods
repeated goal reconstructions happens, while static
methods construct goals once. The later is applied in
Dogelog Player and looking at AI Escargot it can beat
EyeProlog in the browser.

Bye

See also:

BlumrCOs Speed-Up Theorem and Sudoku
https://medium.com/2989/bb8acd0c3284

Mild Shock schrieb:

Dear All,

We are happy to announce a new edition of
the Dogelog Player:

- GPU Backend:
The two pilars of -C-calculus are processes and
channels. While processes in the CPU Backend
mapped straight forward to some platform threads
and a new predicate execute/[1,2]. The predicate
introduced here is expedite/[1,2] and it does
the same for your GPU via compute shaders. We
observed good results with iGPUs from
budget AI laptops.

- CPU Channels:
We mentioned already that the two pilars of
-C-calculus are processes and channels. In
search of easy channel objects, we arrived at
a kind of ADA RendezVous without ACK or NACK.
This is basically a 1-element mpmc queue, now
available via the predicate chan/1 for
the CPU backend.

- GPU Channels:
Channel objects are now also available for the
GPU backend via the predicate flit/1. The approach
is again some busy-wait, so dont use CPU or GPU
channels for isolated long waits. Because of a
batch oriented GPU command API, we could not
yet provide online communication
between CPU and GPU .

Have Fun!

Jan Burse, August 12, 2026, https://www.herbrand.ai/

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