Re: unboxed structure fields (or class slots)

... where does this code come from?  Form the swamps where pythons lurk.

The abuse of GETF (i.e., "dicts") is the giveaway.

I ranted about this some time ago:
https://within-parens.blogspot.com/2024/03/a-rant-about-r-and-python-and-anything.html



On Tue, Jan 13, 2026 at 11:45 AM wojciech.pasieka (as wojciech dot pasieka
at ai dot pressiton dot com) <[email protected]> wrote:

>
> ===================================================
> From: Marco Antoniotti <[email protected]>
> Date: Tue, 13 Jan 2026 07:09:00 +0100
> Plus, awful Common Lisp code….
>
> Marco Antoniotti
> https://dcb.disco.unimib.it
> ===========================
>
> 1) Yes, that was surprising, where did such code come from? (cf. “swords
> made of damp cardboard”).
>
> The point is that LLMs do not appear to learn from their own prompted
> inventions at all.
> They take the final IN grid, and extract the answer from their primary
> training data.
>
>
> 2) The 'arc-transformer' function is intended as an example of 'inductive
> logic programming' (ILP).
> Perhaps Prof. Marco Antoniotti’s lab would be interested in
> following/collaborating on this project.
>
> https://x.com/fchollet/status/2009657443396227307
>
> https://jobs.helsinki.fi/job/Helsinki-Postdoctoral-Researcher-in-Logical-Reasoning-and-Machine-Learning-%28ARC-Challenge%29/1349801957/
>
>
> 3) Finally:
> ===================================================
> From: David McClain <[email protected]>
> To: Tim Bradshaw <[email protected]>
>
> But I honestly don’t see a path for corrections to their database (i.e.,
> Perceptron weight matrices) based on daily
> interactions. Perhaps a local database is held whereby future interactions
> in the same login account will receive some
> corrections along the way?
> ==========================
>
>
> A possible partial answer may be found here:
> https://arxiv.org/abs/2601.06851  ;; (01.11.2026).
>
> 'While our results provide compelling evidence for a synergistic core in
> LLMs, several limitations
> of our current approach warrant discussion. First, our analysis focused
> primarily on attention
> heads and Mixture-of-Experts (MoE) modules as the fundamental units of
> information processing.
>
> However, Multilayer Perceptrons (MLPs) constitute a significant portion of
> transformer
> parameters and are hypothesized to store factual knowledge. Future work
> should apply
> information decomposition techniques to MLP layers – potentially extending
> recent
> methodologies which may reveal additional or complementary synergistic
> structures.'
>
>
>
> p.s.
> Sorry for merging threads, just trying to make it brief.
>
>
>
> Kind Regards,
> Adrian W. Pasieka
>
>
>
>
> ---------- Forwarded message ----------
> From: "Tim Bradshaw (as tfb at cley dot com)" <[email protected]>
> To: [email protected]
> Cc: [email protected]
> Bcc:
> Date: Tue, 13 Jan 2026 08:32:29 +0000
> Subject: Re: unboxed structure fields (or class slots)
> On 12 Jan 2026, at 21:30, wojciech.pasieka (as wojciech dot pasieka at ai
> dot pressiton dot com) <[email protected]> wrote:
>
>
> (DEFUN arc-transformer-1 (input-facts)
>  (LET* ((colors '(C O F N))
>         (objects (MAPCAR (LAMBDA (col) (REMOVE-IF-NOT (LAMBDA (p) (EQ
> (THIRD p) col)) input-facts))
>                                     colors))
>
>         (object-data (MAPCAR (LAMBDA (obj) (LET ((cols (MAPCAR #'SECOND
> obj)))
>                                              (LIST :color (THIRD (CAR obj))
>                                                    :width (1+ (- (REDUCE
> #'MAX cols) (REDUCE #'MIN cols))))))
>                               objects))
>
>         (sorted-objects (STABLE-SORT (COPY-LIST object-data)  #'> :KEY
> (LAMBDA (x) (GETF x :width))))
>
>         (final-output (LOOP FOR obj IN sorted-objects FOR row-idx FROM 0
>                          COLLECT (LOOP FOR col-idx FROM 0 TO (1- (GETF obj
> :width))
>                          COLLECT (LIST row-idx col-idx (GETF obj
> :color)))) ) )
>
>             final-output))
>
>
> This should be the point in the plot where the protagonists realise that
> the terrifying slave army which is meant to replace them solve all their
> problems by unexplained magic is armed with swords made of damp cardboard
> with the word 'sword' written on them, apparently in green crayon and often
> spelled incorrectly.
>
> But it's not a movie: the protagonists will continue to believe that the
> slave army is a terrifying threat on their side and pay the vast dues it
> demands for its worthless services.
>
> --tim
>


-- 
Marco Antoniotti, Professor, Director         tel. +39 - 02 64 48 79 01
DISCo, University of Milan-Bicocca U14 2043   http://dcb.disco.unimib.it
Viale Sarca 336
I-20126 Milan (MI) ITALY

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