• Ljubljana School versus Zurich School (Re: Buddos Waterloo: Checkpoint McCune)

    From Mild Shock@janburse@fastmail.fm to sci.physics.relativity,sci.math on Mon Aug 3 20:19:31 2026
    From Newsgroup: sci.physics.relativity

    Hi,

    I even don't remember exactly why I landed
    in comp.theory. A yes, because Rossy Boy,
    was hooked on SIMD and didn't understand Hack.

    But the Hack work, rather belongs to my
    Alma Mater Zurich and my personal heros, Gutnecht
    and Wirth, who wrote a one pass Modula

    compiler during some christmas holidays,
    back then when I was student. Not sure
    whether the Ljubljana School can do that,

    when I read this here:

    Finite Algebraic Effects as dicts and such https://www.philipzucker.com/bdd_term_alg_effects/

    I only find gibberish like:
    - rCLDatarCY is somehow less mysterious to me
    than rCLcomputationrCY. [..] I donrCOt even
    know what rCLcomputationrCY really is

    - In temporal logic, there is a logic CTL
    which talks about computation trees.

    - Algerbaic (LoL) effects is almost a complete
    hackery abuse of the notion of arity
    and thatrCOs neat.

    - Then there are 10^10 etc vectors which
    show up if you discretize 3d/4d space. [..]
    or reinforcement learning.

    - Etc..

    WTF is this guy smoking? I mean he even
    doesn't uses math notation, only posts
    Python code fragments |a go go,

    possibly a Python brain damage.

    But still less sever than Rossy Boys.

    Bye

    Ross Finlayson schrieb:
    Hello, here I'll post some design notes and a panel discussion with some chat-bots about making some sense of the "vector-wide scalar word"
    and "character machines", on commodity hardware about ubiquitous
    operations.


    It's considered at least tangentially relevant to comp.lang.c and comp.lang.c++ because for example text is ubiquitous and the targets
    would be low-level, while the higher-level languages would have a
    same sort of patternry, and for example that libc and cstdlib are
    standard, and as with regards to POSIX and Unicode and so on.

    Please feel free to excuse or ignore, or comment as freely.

    Thanks for reading.

    Mild Shock schrieb:
    Hi,

    Now toying around with a model finder,
    for some rewritng problems. Not bad, I
    didn't see that before on my computer:

    ?- time(mccune([e*X=X,X^(-1)*X=e,X*(Y*Z)=(X*Y)*Z, c*d\=d*c], 6, _)).
    % Zeit 166.140 ms, GC 0.000 ms, Lips 18616 k
    true

    ?- mccune([e*X=X,X^(-1)*X=e,X*(Y*Z)=(X*Y)*Z, c*d\=d*c], 6, R).
    R = [d-2, c-1, 5*2-3, 5*5-4, 4*3-2, 3*5-2, 3*2-5, 4*4-5, 2*4-3,
    2*3-4, 3*4-1, 3*1-4, 5*3-1, 4*1-3, 1*5-3, 1*3-5, 2*1-5, 2*5-1,
    5*1-2, 4*2-1, 1*4-2, 1*2-4, 5*0-5, 4*0-4, 4*5-0, 5^ -1-4, 5*4-0,
    4^ -1-5, 3*0-3, 3*3-0, 3^ -1-3, 2*0-2, 2*2-0, 2^ -1-2, 1*0-1,
    1*1-0, 1^ -1-1, 0^ -1-0, 0*5-5, 0*4-4, 0*3-3, 0*2-2,
    0*1-1, 0*0-0, e-0]

    But still not as good as Mc Cune, wo reported
    0.010 seconds , so 10 ms (*). I guess I need to
    explore more heuristics. But will it include

    union find? The payback of union find in such
    search examples is so low. If |D| = n is the
    domain size, then although |D x D| has size n^2,

    the diagonal E_D, namely E_D = { (x,y) | x e D,
    y e D, x = y } has only size n. So the probability
    of a pair in certain problem domains, is around 1/n,

    getting smaller and smaller with larger and larger n.

    Bye

    (*) https://www.mcs.anl.gov/research/projects/AR/mace4/July-2005/doc/mace4.pdf

    Mild Shock schrieb:
    Hi,

    This is a nice example how the young generation
    doesn't understand systems that were developed
    30 years ago:

    Example 1:
    No clue that SWI-Prolog does have JIT indexes,
    which explain mysterious differene between
    cold and warm run.
    https://arxiv.org/pdf/2511.13600

    Example 2:
    No clue that subsumption could make a difference,
    claims left recursion is fastest, with referene
    to [TL10] and a bogus node argument.
    https://arxiv.org/abs/2504.21291

    Maybe the Prolog eduction group should organize
    a summer school about tabling?

    Sad news: It will not help to keep up with
    the AI boom. Whats behind the AI boom and
    computing transitive closures?

    Bye

    Mild Shock schrieb:
    Hi,

    Ok, thats noice:

    "On a GPU cluster, the ratio of high computing
    power to communication bandwidth makes scaling
    breadth-first search (BFS) on a scale-free
    graph extremely challenging."

    Scalable Breadth-First Search on a GPU Cluster
    Yuechao Pan, Roger Pearce, John D. Owens
    2018 - Lawrence Livermore National Laboratory
    https://arxiv.org/abs/1803.03922

    Sniff, still passed the deadline Q1 2026 for
    my GigaLIPS Prolog. There were so many other
    improvements , more low hanging fruits to cover.

    Bye

    P.S.: Wanna rent some GPUs?

    Cloud GPU Index
    Compare 2,542 GPU prices across 57 cloud providers
    https://getdeploying.com/gpus

    Mild Shock schrieb:
    Well its called "artificial" intelligence.
    Like "atificial" flowers made from plastic
    try to share the look and feel of natural flowers,

    articial intelligence tries to share the
    look and feel of natural intelligence.
    AI is not really genetic engineering of

    bioforms, right? However, there is a research
    frontier sometimes called biocomputing or
    synthetic biology AI.

    Kunstblumen
    https://www.xxxlutz.ch/kunstblumen-C22C8C1

    The convergence of AI and synthetic biology: the looming deluge
    https://www.nature.com/articles/s44385-025-00021-1

    x schrieb:
    On 3/7/26 03:08, Mild Shock wrote:
    Hi,

    Resolution of Erd-Yos Problem #728
    We provide a writeup of a resolution of Erd-Yos
    Problem #728; this is the first Erd-Yos problem
    (a problem proposed by Paul Erd-Yos which has
    been collected in the Erd-Yos Problems website [3])
    regarded as fully resolved autonomously by an AI
    system. The system in question is a combination of
    GPT-5.2 Pro by OpenAI and Aristotle by Harmonic,

    I guess there is something called 'logic' and then
    there is something called 'semantics'.

    Does it matter if words have meaning?-a If the
    answer is no - then of course you can generate
    the look and feel of meaning through 'AI'.







    --- Synchronet 3.22a-Linux NewsLink 1.2
  • From Mild Shock@janburse@fastmail.fm to sci.physics.relativity,sci.math on Mon Aug 3 20:43:27 2026
    From Newsgroup: sci.physics.relativity

    Hi,

    I have nevertheless to thank the Ljubljana
    School, especially this blog post:

    Verifying Nand2Tetris Assembly
    https://www.philipzucker.com/nand2tetris-chc/

    Which raised my interest in Hack. Meanwhile
    I could produce this toy eample:

    "We try to find 0xCAFFEE in enumerating 4
    6-bit digits and the baseline is Dogelog
    Player VM in a browser. The CPU backend
    with 64 logical threads is already 20
    times faster, partly due to its 32-bit
    specialization. The GPU backend with
    4096 logical threads boosts a further
    factor of 7 times."

    GPU Backend: Find 0xCAFFEE with -C-WAM
    https://medium.com/2989/8890efd3503c

    LoL

    Bye

    Mild Shock schrieb:
    Hi,

    I even don't remember exactly why I landed
    in comp.theory. A yes, because Rossy Boy,
    was hooked on SIMD and didn't understand Hack.

    But the Hack work, rather belongs to my
    Alma Mater Zurich and my personal heros, Gutnecht
    and Wirth, who wrote a one pass Modula

    compiler during some christmas holidays,
    back then when I was student. Not sure
    whether the Ljubljana School can do that,

    when I read this here:

    Finite Algebraic Effects as dicts and such https://www.philipzucker.com/bdd_term_alg_effects/

    I only find gibberish like:
    - rCLDatarCY is somehow less mysterious to me
    -a than rCLcomputationrCY.-a [..] I donrCOt even
    -a know what rCLcomputationrCY really is

    - In temporal logic, there is a logic CTL
    -a which talks about computation trees.

    - Algerbaic (LoL) effects is almost a complete
    -a hackery abuse of the notion of arity
    -a and thatrCOs neat.

    - Then there are 10^10 etc vectors which
    -a show up if you discretize 3d/4d space. [..]
    -a or reinforcement learning.

    - Etc..

    WTF is this guy smoking? I mean he even
    doesn't uses math notation, only posts
    Python code fragments |a go go,

    possibly a Python brain damage.

    But still less sever than Rossy Boys.

    Bye

    Ross Finlayson schrieb:
    Hello, here I'll post some design notes and a panel discussion with some chat-bots about making some sense of the "vector-wide scalar word"
    and "character machines", on commodity hardware about ubiquitous
    operations.


    It's considered at least tangentially relevant to comp.lang.c and comp.lang.c++ because for example text is ubiquitous and the targets
    would be low-level, while the higher-level languages would have a
    same sort of patternry, and for example that libc and cstdlib are standard, and as with regards to POSIX and Unicode and so on.

    Please feel free to excuse or ignore, or comment as freely.

    Thanks for reading.

    Mild Shock schrieb:
    Hi,

    Now toying around with a model finder,
    for some rewritng problems. Not bad, I
    didn't see that before on my computer:

    ?- time(mccune([e*X=X,X^(-1)*X=e,X*(Y*Z)=(X*Y)*Z, c*d\=d*c], 6, _)).
    % Zeit 166.140 ms, GC 0.000 ms, Lips 18616 k
    true

    ?- mccune([e*X=X,X^(-1)*X=e,X*(Y*Z)=(X*Y)*Z, c*d\=d*c], 6, R).
    R = [d-2, c-1, 5*2-3, 5*5-4, 4*3-2, 3*5-2, 3*2-5, 4*4-5, 2*4-3,
    2*3-4, 3*4-1, 3*1-4, 5*3-1, 4*1-3, 1*5-3, 1*3-5, 2*1-5, 2*5-1,
    5*1-2, 4*2-1, 1*4-2, 1*2-4, 5*0-5, 4*0-4, 4*5-0, 5^ -1-4, 5*4-0,
    4^ -1-5, 3*0-3, 3*3-0, 3^ -1-3, 2*0-2, 2*2-0, 2^ -1-2, 1*0-1,
    1*1-0, 1^ -1-1, 0^ -1-0, 0*5-5, 0*4-4, 0*3-3, 0*2-2,
    0*1-1, 0*0-0, e-0]

    But still not as good as Mc Cune, wo reported
    0.010 seconds , so 10 ms (*). I guess I need to
    explore more heuristics. But will it include

    union find? The payback of union find in such
    search examples is so low. If |D| = n is the
    domain size, then although |D x D| has size n^2,

    the diagonal E_D, namely E_D = { (x,y) | x e D,
    y e D, x = y } has only size n. So the probability
    of a pair in certain problem domains, is around 1/n,

    getting smaller and smaller with larger and larger n.

    Bye

    (*)
    https://www.mcs.anl.gov/research/projects/AR/mace4/July-2005/doc/mace4.pdf >>

    Mild Shock schrieb:
    Hi,

    This is a nice example how the young generation
    doesn't understand systems that were developed
    30 years ago:

    Example 1:
    No clue that SWI-Prolog does have JIT indexes,
    which explain mysterious differene between
    cold and warm run.
    https://arxiv.org/pdf/2511.13600

    Example 2:
    No clue that subsumption could make a difference,
    claims left recursion is fastest, with referene
    to [TL10] and a bogus node argument.
    https://arxiv.org/abs/2504.21291

    Maybe the Prolog eduction group should organize
    a summer school about tabling?

    Sad news: It will not help to keep up with
    the AI boom. Whats behind the AI boom and
    computing transitive closures?

    Bye

    Mild Shock schrieb:
    Hi,

    Ok, thats noice:

    "On a GPU cluster, the ratio of high computing
    power to communication bandwidth makes scaling
    breadth-first search (BFS) on a scale-free
    graph extremely challenging."

    Scalable Breadth-First Search on a GPU Cluster
    Yuechao Pan, Roger Pearce, John D. Owens
    2018 - Lawrence Livermore National Laboratory
    https://arxiv.org/abs/1803.03922

    Sniff, still passed the deadline Q1 2026 for
    my GigaLIPS Prolog. There were so many other
    improvements , more low hanging fruits to cover.

    Bye

    P.S.: Wanna rent some GPUs?

    Cloud GPU Index
    Compare 2,542 GPU prices across 57 cloud providers
    https://getdeploying.com/gpus

    Mild Shock schrieb:
    Well its called "artificial" intelligence.
    Like "atificial" flowers made from plastic
    try to share the look and feel of natural flowers,

    articial intelligence tries to share the
    look and feel of natural intelligence.
    AI is not really genetic engineering of

    bioforms, right? However, there is a research
    frontier sometimes called biocomputing or
    synthetic biology AI.

    Kunstblumen
    https://www.xxxlutz.ch/kunstblumen-C22C8C1

    The convergence of AI and synthetic biology: the looming deluge
    https://www.nature.com/articles/s44385-025-00021-1

    x schrieb:
    On 3/7/26 03:08, Mild Shock wrote:
    Hi,

    Resolution of Erd-Yos Problem #728
    We provide a writeup of a resolution of Erd-Yos
    Problem #728; this is the first Erd-Yos problem
    (a problem proposed by Paul Erd-Yos which has
    been collected in the Erd-Yos Problems website [3])
    regarded as fully resolved autonomously by an AI
    system. The system in question is a combination of
    GPT-5.2 Pro by OpenAI and Aristotle by Harmonic,

    I guess there is something called 'logic' and then
    there is something called 'semantics'.

    Does it matter if words have meaning?-a If the
    answer is no - then of course you can generate
    the look and feel of meaning through 'AI'.








    --- Synchronet 3.22a-Linux NewsLink 1.2