From Newsgroup: comp.lang.javascript

Hi,

At the end of 2025 we acquired a couple of AI
Laptops , that were still cheap, since RAM prices
had not yet rocketed. The intend was to tap into
the Copilot+ certified hardware, and shave off
some of the TOPS to do Prolog inferencing. Amazingly
our π-WAM can churn 11.4 GIGA LIPS.

GPUs have evolved form lock-step to independent
thread scheduling. This made it possible to port
the Hack VM variant, that forms the basis for
our π-WAM, to WebGPU computer shaders. Using
NUM_SHADERS = 4096 we could produce 11.4 Giga Lips
on a Ryzen AI 7 350 w/ Radeon 860M.

Bye

See also:

Dogelog Player: 11.4 Giga Lips with a Budget Laptop https://medium.com/2989/899b0d5c027b

Mild Shock schrieb:

Dear All,

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

- Unicode 17.0:
We lifted the Dogelog Player for Java build
to JDK 26 and regenerated our Unicode database
for category and number value for the JavaScript
and Python build. The supported version is now
17.0 and we managed somehow to reduce the footprint
from 16848 words to 15000 words.

- Emulating π-WAM:
The new library(edge/brainfog) permits the
execution of certain Prolog goals in a π-WAM
backend. The concept of a π-WAM embraces a
fusion of a processs (π) calculus and a Warren
Abstract Machine (WAM). Optimized for speed the
WAM is very primitive and currently only supports
the ‘$SEQ’/2 control construct, plus rudimentary
32-bit integer arithmetic and between/3.

- Executing π-WAM:
Both emulate/1 and execute/1 compile into an
identical instruction stream. In the virtual
machine the instructions are 32-bit inspired by
combinations of the 16-bit A and C instructions
from the original Hack. The resulting π-WAM
currently doesn’t support a stack, a trail
or choice points but can nevertheless
do backtracking.

Have Fun!

Jan Burse, July 07, 2026, https://www.herbrand.ai/

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